METHOD FOR DISSOLVING SCARS WITH DEXTRAN SULFATE

Information

  • Patent Application
  • 20230120722
  • Publication Number
    20230120722
  • Date Filed
    November 17, 2022
    a year ago
  • Date Published
    April 20, 2023
    a year ago
Abstract
A method for dissolving scars comprises administering dextran sulfate, or a pharmaceutically acceptable salt thereof, to a subject suffering from fibrosis or a fibrotic disease, disorder or condition to dissolve an established scar in the subject.
Description
TECHNICAL FIELD

The present embodiments generally relate to neurological and fibrotic conditions, and in particular to the use of dextran sulfate in combating such conditions.


BACKGROUND

In neurological diseases, such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS), and damages to the central nervous system (CNS) or peripheral nervous system (PNS), such as traumatic brain injury (TBI), stroke and sub-arachnoid hemorrhage (SAH), loss of differentiation of neurons and glial cells, such as oligodendrocytes and Schwann cells, is one of the first disease stages, followed by cell death. The function of the cells is also compromised as seen in impaired metabolic function and mitochondrial energy metabolism and elevated oxygen stress. Damaged neurons furthermore release glutamate having an excitotoxicity effect on nearby neurons, in turn causing further cell damage and cell death.


Accordingly, there are a multitude of deleterious mechanisms taking place in neurological diseases, disorders and conditions. There is therefore a general need for drugs that are effective in combating such deleterious mechanisms and therefore could be of benefit for patients suffering from such neurological diseases, disorders and conditions.


US 2011/0014701 relates to the use of polysulfated polysaccharides to improve the viability of progenitor cells. The U.S. patent application also discloses the use of polysulfated polysaccharides to regulate differentiation of progenitor cells. Various polysulfated polysaccharides were tested. It was concluded that the polysulfated polysaccharide dextran polysulfate (Mw=5,000 Da) downregulated or repressed differentiation of progenitor cells.


SUMMARY

It is a general objective to provide a drug useful for patients suffering from neurological and/or fibrotic conditions.


This and other objectives are met by embodiments as defined herein.


The present invention is defined in the independent claims. Further embodiments of the present invention are defined in the dependent claims.


The present embodiments are directed towards dextran sulfate, or a pharmaceutically acceptable derivative thereof, having several advantageous effects to patients suffering from neurological and/or fibrotic diseases, disorders or conditions.


Dextran sulfate, or the pharmaceutically acceptable derivative thereof, is, among others, capable of inducing differentiation of glial cells and neurons, reducing oxidative stress in neurons and glial cells, reducing glutamate excitotoxicity, improving metabolic function and energy metabolism in mitochondria of neurons and glial cells, and activating the intrinsic repair mechanism of the body. Dextran sulfate, or the pharmaceutically acceptable derivative thereof, is also capable preventing fibrogenesis by inhibiting fibrogenic factors like TGF-β and activating fibrolysis, thereby dissolving existing scar tissue, inducing a tissue remodeling and a viable healing of tissue. Dextran sulfate, or the pharmaceutically acceptable derivative thereof, also had effect in various inflammatory and auto-immune conditions, including neuroinflammatory conditions by resolving the immune or inflammatory response.





BRIEF DESCRIPTION OF THE DRAWINGS

The embodiments, together with further objects and advantages thereof, may best be understood by making reference to the following description taken together with the accompanying drawings, in which:



FIG. 1 illustrates propidium iodine (PI) content of mouse cortical neurons. The cells were stained with PI, which binds to DNA. Based on DNA content, the cells can be grouped into different phases of the cell cycle. As DNA content varies during the cell cycle, PI staining can be indicative of cell cycle progression. Data indicated that most cells remained in the G1 phase of the cell cycle (dashed arrows), although low molecular weight dextran sulfate (LMW-DS) appeared to increase the number of cells in the G2/M phase (full arrows).



FIG. 2 illustrates PI content of human motor neurons. Data indicated that most cells remained in the G1 phase of the cell cycle (dashed arrows), although LMW-DS appeared to increase the number of cells in the G2/M phase (full arrows).



FIG. 3 illustrates PI content of human Schwann cells. Data indicated that most cells remained in the G1 phase of the cell cycle (dashed arrows), although LMW-DS appeared to increase the number of cells in the G2/M phase (full arrows).



FIG. 4 are representative pictures of βIII-tubulin expression in mouse cortical neurons.



FIGS. 5A and 5B illustrate the effects of LMW-DS on βIII-tubulin expression in mouse cortical neurons. The graphs show total intensity (FIG. 5A) and mean size of the positive cells (FIG. 5B).



FIGS. 6A and 6B illustrate the effects of LMW-DS on βIII-tubulin expression in human motor neurons. The graphs show total intensity (FIG. 6A) and mean size of the positive cells (FIG. 6B).



FIG. 7 are representative pictures of βIII-tubulin expression in human motor neurons.



FIGS. 8A and 8B illustrate the effects of LMW-DS on myelin basic protein (MBP) expression in human Schwann cells. The graphs show total intensity (FIG. 8A) and mean size of the positive cells (FIG. 8B).



FIG. 9 are representative pictures of MBP expression in human Schwann cells.



FIG. 10 is a diagram illustrating mean experimental autoimmune encephalomyelitis (EAE) severity scores following EAE induction in mice for negative control (vehicle), positive control cyclosporine A (cyclo) and LMW-DS.



FIG. 11 is a diagram illustrating mean EAE severity scores following EAE induction in mice for negative control (vehicle) and HGF. The arrow indicates the start of the treatment FIG. 12 is a diagram illustrating changes in brain glutamate levels.



FIGS. 13A-13D are diagrams illustrating changed levels of adenine nucleotides (ATP, ADP, AMP) and ATP/ADP ratio as a measurement of mitochondrial phosphorylating capacity.



FIGS. 14A-14D are diagrams illustrating changed levels of oxidative and reduced nicotinic coenzymes.



FIGS. 15A-15C are diagrams illustrating changed levels of biomarkers representative of oxidative stress.



FIG. 16 is a diagram illustrating changed levels of nitrate as a measurement of NO-mediated nitrosative stress.



FIGS. 17A-17C are diagrams illustrating changed levels of N-acetylaspartate (NAA) and its substrates.



FIG. 18 schematically illustrates the effect on oxidative stress on mitochondrial (dys)function.



FIG. 19 schematically illustrates molecules involved in the glutamate signaling pathway.



FIG. 20 is a diagram illustrating changes in laminin immunoreactivity in the angle in subjects suffering from primary open-angle glaucoma (POAG) and treated with saline control or LMW-DS.



FIG. 21 is a diagram illustrating changes in fibronectin immunoreactivity in the angle in subjects suffering from POAG and treated with saline control or LMW-DS.



FIG. 22 illustrates amyloid-β monomer and oligomer preparation. Preparations of oligomers (lanes 1, 2, 5-7) or monomers (lanes 3 and 4) of amyloid-β (1-42) (A) or amyloid-β-biotin (B). The gels were loaded with 50 pmoles (lane 5), 100 pmoles (lanes 1, 3 and 6) or 200 pmoles (lanes 2, 4 and 7) of the respective peptide preparation. Proteins on the arising Western blot were immuno-labelled with anti-amyloid-β. Predicted oligomers and the molecular weight markers are indicated.



FIG. 23 illustrates dextran sulfate sodium salt (DSSS) and LMW-DS competition for the protein-protein interaction between amyloid-β and PrPc.



FIG. 24 illustrates concentrations of NAA measured in deproteinized brain homogenates of rats sacrificed at 2 days post-TBI without and with a single administration of increasing doses of LWM-DS (1, 5 and 15 mg/kg b.w.), performed 30 minutes after trauma induction. Controls are represented by sham-operated animals. Values are the mean of 12 animals. Standard deviations are represented by vertical bars. *significantly different from controls, p<0.01. **significantly different from sTBI 2 days, p<0.01.



FIG. 25 illustrates concentrations of ATP measured in deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration of 15 mg/kg b.w.). Controls are represented by sham-operated animals. Values are the mean of 12 animals. Standard deviations are represented by vertical bars. *significantly different from controls, p<0.01. **significantly different from sTBI 2 days, p<0.01.



FIG. 26 illustrates concentrations of ascorbic acid measured in deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration of 15 mg/kg b.w.). Controls are represented by sham-operated animals. Values are the mean of 12 animals. Standard deviations are represented by vertical bars. *significantly different from controls, p<0.01. **significantly different from sTBI 2 days, p<0.01.



FIG. 27 illustrates concentrations of glutathione (GSH) measured in deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration of 15 mg/kg b.w.). Controls are represented by sham-operated animals. Values are the mean of 12 animals. Standard deviations are represented by vertical bars. *significantly different from controls, p<0.01. **significantly different from sTBI 2 days, p<0.01.



FIG. 28 illustrates concentrations of NAA measured in deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration of 15 mg/kg b.w.). Controls are represented by sham-operated animals. Values are the mean of 12 animals. Standard deviations are represented by vertical bars. *significantly different from controls, p<0.01. **significantly different from sTBI 2 days, p<0.01.





DETAILED DESCRIPTION

The present embodiments generally relate to neurological and fibrotic conditions, and in particular to the use of dextran sulfate in combating such conditions.


A neurological disorder is any disorder of the body nervous system, i.e., the brain, spine and the nerves that connect them. Structural, biochemical or electrical abnormalities in the brain, spinal cord or other nerves can result in a range of symptoms. Although the brain and spinal cord are surrounded by tough membranes, enclosed in the bones of the skull and spinal vertebrae, and chemically isolated by the blood-brain barrier, they are very susceptible if compromised. Nerves tend to lie deep under the skin but can still become exposed to damage. Individual neurons, and the neural networks and nerves into which they form, are susceptible to electrochemical and structural disruption. Neuroregeneration may occur in the peripheral nervous system and, thus, overcome or work around injuries to some extent, but it is thought to be rare in the brain and spinal cord.


The specific causes of neurological problems vary, but can include genetic disorders, congenital abnormalities or disorders, infections, lifestyle or environmental health problems including malnutrition, and brain injury, spinal cord injury or nerve injury. The problem may start in another body system that interacts with the nervous system. For example, cerebrovascular disorders involve brain injury due to problems with the blood vessels, i.e., the cardiovascular system, supplying the brain; autoimmune disorders involve damage caused by the body's own immune system; lysosomal storage diseases, such as Niemann-Pick disease, can lead to neurological deterioration.


A neurodegenerative disease, disorder or condition is a disease, disorder or condition causing progressive loss of structure and/or function of neurons, including death of neurons.


Non-limiting examples of such neurodegenerative diseases, disorders or conditions include Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD) and amyotrophic lateral sclerosis (ALS).


AD is characterized by loss of neurons and synapses in the cerebral cortex and subcortical regions. The classic neuropathologic findings in AD include amyloid plaques, neurofibrillary tangles, and synaptic and neuronal cell death. White matter disease (WMD) is frequently seen in AD at neuropathological examination. It is defined as a subtotal tissue loss with a reduction of myelin, axons and oligodendrocytes as well as astrocytosis.


PD is a neurodegenerative disorder of the CNS. The motor symptoms of PD result from the death of dopamine-generating cells in the substantia nigra. In a diseased nerve, the myelin sheath surrounding the axon begins to erode. Neuroinflammation is a pathological hallmark in PD and is characterized by activated microglia and infiltrating T cells at sites of neuronal injury.


HD is a neurodegenerative disorder that affects muscle coordination and leads to cognitive decline and psychiatric problems. The disease is caused by an autosomal dominant mutation in a gene called Huntingtin. Part of this gene is a repeated section called trinucleotide repeat, which varies in length between individuals. When the length of this repeated section reaches a certain threshold, it produces an altered form of the protein. The protein (Htt) encoded by the Huntingtin gene interacts with over 100 other proteins and has multiple biological functions. The mutated form of Htt is toxic to certain cell types, particularly in the brain. HD is characterized by damages to the myelin sheath on the nerves. Increased activated T cells in the peripheral blood have been identified in HD patients.


ALS, also referred to as Lou Gehrig's disease, is a debilitating disease with varied etiology characterized by rapidly progressive weakness, muscle atrophy and fasciculations, muscle spasticity, dysarthria, dysphagia and dyspnea. ALS is the most common of the motor neuron diseases (ALS, hereditary spastic paraplegia (HSP), primary lateral sclerosis (PLS), progressive muscular atrophy (PMA), progressive bulbar palsy (PBP) and pseudobulbar palsy). The principle characteristic in the pathology of ALS is loss of motor nerve cells in the anterior horns of the spinal cord and in the motor nuclei of the brain stem. This results in secondary atrophy of the corresponding muscles (amyotrophy). Neuroinflammation is a pathological hallmark of ALS and is characterized by activated microglia and infiltrating T cells at sites of neuronal injury. “Lateral sclerosis” refers to corticospinal tract degeneration (lateral in location in the spinal cord). In fact, myelin loss occurs in the corticospinal tract. The sclerosis of ALS, the hardening, involves the lateral columns, or corticospinal tracts and is a secondary phenomenon.


A neurological disease, disorder or condition may be a demyelinating disease, disorder or condition. A demyelinating disease, disorder or condition is a disease of the nervous system in which the myelin sheath of neurons is damaged. Such damage impairs the conduction of signals in the affected nerves and thereby causing deficiency in sensation, movement, cognition and other functions depending on the nerves involved in the damage.


Non-limiting examples of such demyelinating diseases, disorders or conditions include multiple sclerosis (MS), acute disseminated encephalomyelitis (ADEM), central nervous system (CNS) neuropathies, central pontine myelinolysis (CPM), myelopathies, leukoencephalopathies and leukodystrophies (all affecting the CNS), and Guillain-Barré syndrome (GBS), peripheral neuropathies and Charcot-Marie-Tooth (CMT) disease (all affecting the peripheral nervous system (PNS)).


MS is an inflammatory disease in which the fatty myelin sheaths around axons of the brain and the spinal cord are damaged, leading to demyelination and scarring as well as a broad spectrum of signs and symptoms. MS involves T cells that induce an immune response against the white matter of the brain and spinal cord. MS is a disease of myelin, not primarily of nerve cells. Since myelin occurs throughout the nervous system, lesions can be and typically are at multiple sites. The disease, however, affects only central myelin, not the myelin of peripheral nerves. Therefore, the symptoms are specifically of a CNS disorder.


ADEM is an immune mediated disease of the brain. It usually occurs following a viral, bacterial or parasitic infection, or even appears spontaneously. ADEM attacks the nerves of the CNS and damages their myelin insulation, which, as a result, destroys the white matter. As it involves autoimmune demyelination, it is similar to MS, and is considered part of the MS borderline diseases. ADEM produces multiple inflammatory lesions in the brain and spinal cord, particularly in the white matter. ADEM involves cytokines secreted by myelin-reactive T cells.


Neuropathies, including CNS neuropathies and peripheral neuropathies, is a group of damages to or diseases affecting nerves, which may impair sensation, movement, gland or organ function, or other aspects of health, depending on the type of nerve affected. Common causes include systemic diseases, such as diabetes or leprosy; vitamin deficiency; medication, e.g., chemotherapy, or commonly prescribed antibiotics; traumatic injury; ischemia; radiation therapy; excessive alcohol consumption; immune system disease; Coeliac disease; or viral infection. Neuropathy may be or acute. Acute neuropathies demand urgent diagnosis. Motor nerves that control muscles, sensory nerves, or autonomic nerves that control automatic functions, such as heart rate, body temperature, and breathing, may be affected. More than one type of nerve may be affected at the same time.


CPM is a neurological disease caused by severe damage of the myelin sheath of nerve cells in the brainstem, more precisely in the area termed the pons, predominately of iatrogenic etiology. It is characterized by acute paralysis, dysphagia, and dysarthria, and other neurological symptoms.


Myelopathy describes any neurologic deficit related to the spinal cord. When due to trauma, it is generally known as spinal cord injury (SCI), when inflammatory, it is generally known as myelitis, and when the disease that is vascular in nature it is known as vascular myelopathy. The most common form of myelopathy in human, cervical spondylotic myelopathy (CSM) is caused by arthritic changes (spondylosis) of the cervical spine, which result in narrowing of the spinal canal (spinal stenosis) ultimately causing compression of the spinal cord.


Leukoencephalopathy is a broad term for leukodystrophy-like diseases. It is applied to all brain white matter diseases, whether their molecular cause is known or not. Leukoencephalopathy can refer specifically to any of these diseases progressive multifocal leukoencephalopathy, toxic leukoencephalopathy, leukoencephalopathy with vanishing white matter, leukoencephalopathy with neuroaxonal spheroids, reversible posterior leukoencephalopathy syndrome, megalencephalic leukoencephalopathy with subcortical cysts.


Leukodystrophy is one of a group of disorders characterized by degeneration of the white matter in the brain. The leukodystrophies are caused by imperfect growth or development of the myelin sheath, the fatty covering that acts as an insulator around nerve fibers. When damage occurs to white matter, immune responses can lead to inflammation in the CNS, along with loss of myelin. Leukodystrophy is characterized by specific symptoms including decreased motor function, muscle rigidity, and eventually degeneration of sight and hearing. Specific types of leukodystrophies include adrenomyeloneuropathy, Alexander disease, cerebrotendineous xanthomatosis, hereditary CNS demyelinating disease, Krabbe disease, metachromatic leukodystrophy, Pelizaeus-Merzbacher disease, Canavan disease, leukoencephalopathy with vanishing white matter, adrenoleukodystrophy and Refsum disease.


GBS, also referred to as Landry's paralysis or Guillan-Barré-Strohl syndrome, is an acute polyneuropathy affecting the PNS. In GBS, immune cells attack the myelin sheath—the fatty substance covering nerve fibers. Ascending paralysis is a common symptom. GBS is thought to be an immune-mediated disease involving an abnormal T cell response precipitated by an infection. Cellular and humoral immune mechanisms probably play a role in its development Most patients report an infectious illness in the weeks prior to the onset of GBS. Many of the identified infectious agents are thought to induce production of antibodies that cross-react with specific gangliosides and glycolipids, such as GM1 and GD1b, which are distributed throughout the myelin in the peripheral nervous system.


CMT is one of the hereditary motor and sensory neuropathies, a group of varied inherited disorders of the peripheral nervous system characterized by progressive loss of muscle tissue and touch sensation across various parts of the body. CMT was previously classified as a subtype of muscular dystrophy.


In neurological disorders loss of differentiation of neurons and glial cells, such as oligodendrocytes and Schwann cells, is one of the first stages in the disease progress. Generally, the disorders subsequently progress with cell death of such neurons and glial cells.


Accordingly, a drug that is capable of promoting differentiation of neuronal and glial cells would be beneficial to patients suffering from neurological diseases, disorders or conditions. Such a differentiation-inducing drug could be neuroprotective and may, for instance, be useful in the treatment of neurological diseases, disorders or conditions.


Experimental data as presented herein indicates that dextran sulfate of the embodiments is capable of inducing differentiation of neurons and glial cells. This effect of dextran sulfate is seen both for cortical neurons and motor neurons and for neurons from both mouse and human origin. Correspondingly, dextran sulfate is capable of inducing differentiation of Schwann cells that constitute a type of glial cells.


Dextran sulfate of the embodiments additionally showed positive effects in an in vivo model of inflammatory demyelinating disease of the CNS, which is the currently most widely accepted animal model of MS and ADEM.


These results with regard to induction of cells differentiation in neurons and glial cells by dextran sulfate of the embodiments were highly surprising in the light of US 2011/0014701 stating that dextran sulfate (Mw=5,000 Da) did not induce, but rather downregulated or repressed, differentiation of progenitor cells. Thus, it seems that the cell differentiating capability of dextran sulfate of the embodiments might be cell type specific and thereby, potentially, limited to neurons and glial cells. The prior art data shows that dextran sulfate in fact had the opposite effect for other cell types, represented by progenitor cells in the above mentioned U.S. patent application.


Neurons, also referred to as nerve cells, are electrically excitable cells that process and transmit information through electrical and chemical signals. These signals between neurons occur via synapses, specialized connections with other cells. Neurons can connect to each other to form neural networks. Neurons are the core components of the brain and spinal cord of the CNS, and of the ganglia of the PNS. Specialized types of neurons include: sensory neurons which respond to touch, sound, light and all other stimuli affecting the cells of the sensory organs that then send signals to the spinal cord and brain, motor neurons that receive signals from the brain and spinal cord to cause muscle contractions and affect glandular outputs, and interneurons which connect neurons to other neurons within the same region of the brain, or spinal cord in neural networks.


A typical neuron consists of a cell body (soma), dendrites, and an axon. The term neurite is used to describe either a dendrite or an axon, particularly in its undifferentiated stage. Dendrites are thin structures that arise from the cell body, often extending for hundreds of micrometers and branching multiple times, giving rise to a complex dendritic tree. An axon, also called a nerve fiber when myelinated, is a special cellular extension that arises from the cell body at a site called the axon hillock and travels for a distance. Nerve fibers are often bundled into fascicles, and in the PNS, bundles of fascicles make up nerves. At the majority of synapses, signals are sent from the axon of one neuron to a dendrite of another.


Neurons do not undergo cell division. In most cases, neurons are generated by special types of stem cells. Astrocytes are star-shaped glial cells that have also been observed to turn into neurons by virtue of the stem cell characteristic pluripotency. In humans, neurogenesis largely ceases during adulthood; but in two brain areas, the hippocampus and olfactory bulb, there is strong evidence for generation of substantial numbers of new neurons.


Dextran sulfate of the embodiments is capable of inducing an increase in beta-tubulin, in particular βIII-tubulin, expression in the neurons.


βIII-tubulin, also referred to as class III β-tubulin, is a microtubule element expressed exclusively in neurons. The microtubule cytoskeleton is essential for the development and survival of neurons. Microtubules are assembled from tubulin heterodimers, which contain different tubulin isotypes. Microtubules are polarized and, in neurons, their ‘minus-ends’ are usually oriented towards the centrosome in the cell body, whereas their ‘plus-ends’ project towards the tips of axons. Microtubule polarity serves important functions in both differentiating and adult neurons. During differentiation, tubulin is increased in the cell and builds up microtubule which allow the differentiating neurons to extend or retract growing axons in response to guidance cues in order to maintain directional growth towards post-synaptic targets. Their activities are essential for cell migration, axon development and guidance, and are also required for the function and viability of adult neurons (Bioscience Reports (2010), 30: 319-330).


The increased expression of the μIII-tubulin in neurons indicates that dextran sulfate of the embodiments acts as a differentiation factor for these cells.


In an embodiment, the neurons are selected from a group consisting of cortical neurons and motor neurons.


A motor neuron is a nerve cell whose cell body is located in the spinal cord and whose axon projects outside the spinal cord to directly or indirectly control effector organs, mainly muscles and glands. The axons of motor neurons are efferent nerve fibers that carry signals from the spinal cord to the effectors to produce effects.


A motor neuron disease (MND) is a neurological disorder that selectively affects motor neurons. These MNDs are ALS, HSP, PLS, PMA, PBP, pseudobulbar palsy, spinal muscular atrophy (SMA) and post-polio syndrome (PPS). They are neurodegenerative in nature and cause increasing disability and, eventually, death.


HSP, also referred to as hereditary spastic paraparesis, familial spastic paraplegia, French settlement disease, or Strumpell-Lorrain disease, is a group of inherited diseases whose main feature is a progressive gait disorder. The disease presents with progressive stiffness (spasticity) and contraction in the lower limbs. The symptoms are a result of dysfunction of long axons in the spinal cord. The affected cells are the primary motor neurons, therefore the disease is an upper motor neuron disease. HSP is caused by defects in transport of proteins, structural proteins, cell maintaining proteins, lipids, and other substances through the cell.


PLS is a rare neuromuscular disease characterized by progressive muscle weakness in the voluntary muscles. PLS only affects upper motor neurons.


PMA, also known as Duchenne-Aran muscular atrophy, is a rare subtype of MND that affects only the lower motor neurons.


PBP is a disease that attacks the nerves supplying the bulbar muscles. These disorders are characterized by the degeneration of motor neurons in the cerebral cortex, spinal cord, brain stem, and pyramidal tracts. This specifically involves the glossopharyngeal nerve (IX), vagus nerve (X), and hypoglossal nerve (XII).


Pseudobulbar palsy is a medical condition characterized by the inability to control facial movements, such as chewing and speaking, and caused by a variety of neurological disorders. Patients experience difficulty chewing and swallowing, have increased reflexes and spasticity in tongue and the bulbar region, and demonstrate slurred speech, sometimes also demonstrating uncontrolled emotional outbursts. The condition is usually caused by the damage, bilateral degeneration, to the neurons of the brain stem, specifically to the corticobulbar tract (upper motor neuron tract to cranial nerve motor nuclei).


SMA, also called autosomal recessive proximal spinal muscular atrophy and 5q spinal muscular atrophy, is a rare neuromuscular disorder characterized by loss of motor neurons and progressive muscle wasting, often leading to early death. The disorder is caused by a genetic defect in the SMN1 gene, which encodes SMN, a protein widely expressed in all eukaryotic cells and necessary for survival of motor neurons. Lower levels of the protein results in loss of function of neuronal cells in the anterior horn of the spinal cord and subsequent system-wide atrophy of skeletal muscles.


PPS, also referred to as post-poliomyelitis syndrome or post-polio sequelae, is a condition that affects approximately 25 to 40% of people who have previously survived an acute attack of poliomyelitis—a viral infection of the nervous system—after the initial infection. Symptoms include acute or increased muscular weakness, pain in the muscles, and fatigue. The same symptoms may also occur years after a nonparalytic polio (NPP) infection. The precise mechanism that causes PPS is unknown. It shares many features with chronic fatigue syndrome, but unlike that disorder, it tends to be progressive, and can cause loss of muscle strength.


Cortical neurons are the cells of the cerebral cortex in the brain. Most of the complex activity of the brain enabling thought. perception, and voluntary movement is connected to the activity of cortical neurons.


Cortical neuron loss occurs in several neurodegenerative diseases, such as AD.


Glial cells, sometimes referred to as neuroglia, are non-neuronal cells that maintain homeostasis, form myelin, and provide support and protection for neurons in the CNS and the PNS. Glial cells have four key functions; surrounding neurons and hold them in place, supplying nutrients and oxygen to neurons, insulating neurons from each other and destroying pathogens and removing dead neurons.


There are many types of glial cells present either in the CNS or in the PNS. Glial cell types present in the CNS include astrocytes, oligodendrocytes, ependymal cells, radial glia and microglia. Glial cell types present in the PNS include Schwann cells, satellite cells and enteric glial cells.


Astrocytes, also referred to as astroglia, are the most abundant type of macroglial cell in the CNS. Astrocytes have numerous projections that anchor neurons to their blood supply. They regulate the external chemical environment of neurons by removing excess ions and recycling neurotransmitters released during synaptic transmission. Astrocytes may regulate vasoconstriction and vasodilation by producing substances, such as arachidonic acid, whose metabolites are vasoactive.


Oligodendrocytes are cells that coat axons in the CNS with their cell membrane, forming a specialized membrane differentiation called myelin, producing the so-called myelin sheath. The myelin sheath provides insulation to the axon that allows electrical signals to propagate more efficiently.


Ependymal cells, also referred to as ependymocytes, line the spinal cord and the ventricular system of the brain. These cells are involved in the creation and secretion of cerebrospinal fluid (CSF) and beat their cilia to help circulate the CSF and make up the blood-CSF barrier. They are also thought to act as neural stem cells.


Radial glia cells arise from neuroepithelial cells after the onset of neurogenesis. Their differentiation abilities are more restricted than those of neuroepithelial cells. In the developing nervous system, radial glia function both as neuronal progenitors and as a scaffold upon which new born neurons migrate. In the mature brain, the cerebellum and retina retain characteristic radial glial cells. In the cerebellum, these are Bergmann glia, which regulate synaptic plasticity. In the retina, the radial Müller cell is the principal glial cell, and participates in a bidirectional communication with neurons.


Microglia are a type of neuroglia located throughout the brain and spinal cord. As the resident macrophage cells, they act as the first and main form of active immune defense in the CNS. Microglia are key cells in overall brain maintenance, they are constantly scavenging the CNS for plaques, damaged or unnecessary neurons and synapses, and infectious agents.


Schwann cells are similar in function to oligodendrocytes but are present in the PNS instead of the CNS. Thus, Schwann cells provide myelination to axons in the PNS. They also have phagocytotic activity and clear cellular debris that allows for regrowth of PNS neurons.


Satellite glial cells are small cells that surround neurons in sensory, sympathetic, and parasympathetic ganglia. These cells help regulate the external chemical environment. They are highly sensitive to injury and inflammation, and appear to contribute to pathological states, such as chronic pain.


Enteric glial cells are found in the intrinsic ganglia of the digestive system. They are thought to have many roles in the enteric system, some related to homeostasis and muscular digestive processes.


Dextran sulfate of the embodiments further induces an increase in myelin basic protein (MBP) expression in the glial cells.


MBP is a protein that is important in the process of myelination of nerves in the nervous system and is a major constituent of the myelin sheath of oligodendrocytes and Schwann cells. MBP maintains the correct structure of myelin, interacting with the lipids in the myelin membrane. Interest in MBP has centered on its role in demyelinating diseases, in particular MS.


Axonal myelination is an essential process for normal functioning of vertebrate CNS. In the PNS, myelin is formed by the differentiation of the plasma membrane of Schwann cells. Loss of axonal contact, as occurs after nerve injury, leads to the down-regulation of myelin gene expression (Progress in Neurobiology (2000), 61: 267-304). The differentiation of Schwann cells and increase in MBP in injured peripheral nerves is critical for regeneration after injury (Frontiers in Neuroscience (2015), 9: Article 298, 1-13).


The increased expression of MBP in glial cells indicates that dextran sulfate of the embodiments acts as a differentiation factor for these cells (Physiological Reviews (2001), 81(2):871-927, Journal of Neurochemistry (2013), 125(3): 334-361).


In an embodiment, the glial cells are myelinating cells, i.e., cells creating a myelin sheath that is wrapped around one or more axons of adjacent neurons. Thus, in a particular embodiment the glial cells are selected from a group consisting of Schwann cells and oligodendrocytes.


Dextran sulfate of the embodiment does not only induce differentiation of cells of the CNS and PNS, which is beneficial in neurological diseases, disorders and conditions. Experimental data as presented herein indicates that dextran sulfate of the embodiments has positive effect in combating metabolic modifications that are seen in neurological diseases, disorders and conditions, such as traumatic brain injury (TBI). Thus, many neurological diseases, disorders and conditions are characterized by modifications of various metabolites connected to the cell energy state and mitochondrial functions. Furthermore, modifications in amino acid metabolisms are seen in many neurological diseases, disorders and conditions. These metabolic modifications are early cellular signals that influence changes in enzymatic activities and gene and protein expressions indicative of a pathological tissue response. Dextran sulfate of the embodiments acts to positively regulate cellular metabolism in the compromised tissues, thereby inhibiting or at least suppressing any subsequent modifications in enzyme activity and gene and protein expression that contribute to adverse outcomes.


In more detail, dextran sulfate of the embodiments was capable of reducing levels of glutamate excitotoxicity and ameliorated adverse changes in metabolic hemostastis, thereby efficiently protecting mitochondrial function and providing a neuroprotective effect Dextran sulfate of the embodiments positively affected various compounds related to energy metabolism and mitochondrial functions. Particularly interesting are the concentrations of adenine nucleotides and ATP/ADP ratio as measurement of mitochondrial phosphorylating capacity.


Dextran sulfate of the embodiments also led to a significant reduction in oxidative stress. In particular, the levels of ascorbic acid, as the main water-soluble brain antioxidant, and glutathione (GSH), as the major intracellular-sulfhydryl group (SH) donor, were significantly improved. In addition, malondialdehyde (MDA) levels, as end product of polyunsaturated fatty acids of membrane phospholipids and therefore taken as a marker of reactive oxygen species (ROS) mediated lipid peroxidation, showed a significant reduction after dextran sulfate administration. The oxidative stress markers described above all indicated an improvement in the recovery of antioxidant status after dextran sulfate treatment.


Dextran sulfate administration also significantly decreased the nitrate concentrations in both acute and chronic phases of neurological diseases, disorders and conditions. Accordingly, dextran sulfate of the embodiments has a positive effect on NO-mediated nitrosative stress.


N-acetylaspartate (NAA) is a brain specific metabolite and a valuable biochemical marker for monitoring deterioration or recovery after neurological diseases, disorders and conditions, such as TBI. NAA is synthesized in neurons from aspartate and acetyl-CoA by aspartate N-acetytransferase. Dextran sulfate of the embodiment showed significant improvements in NAA levels.


Experimental data as presented herein thereby indicates that dextran sulfate of the embodiments can thereby protect against the cell loss that occurs due to oxidative stress and/or glutamate excitotoxicity in the diseased and damaged nervous system. By protecting cell metabolism, dextran sulfate of the embodiments may be a useful protective treatment in many degenerative conditions where cells are progressively lost due to ischemic, oxidative or traumatic damage, such as stroke, ALS, MND, MS, dementia, TBI, SCI, retinal damage, etc. These neurological diseases, disorders and conditions have a common link in terms of death and compromise of neuronal function of neurons that occurs in all conditions. There are commonalities in the causes of this of neuronal death. Of particular relevance is the toxicity caused by the high levels of the neurotransmitter glutamate that is released from dying neurons. Dextran sulfate of the embodiments induces scavenging of released glutamate in glial cells and thereby prevent accumulation of toxic amounts of glutamate in the neuronal clefts. This will be useful in all neurodegenerative diseases, disorders and conditions, both acute and chronic, where neurons are dying.


Excitotoxicity is the pathological process by which nerve cells are damaged or killed by excessive stimulation by neurotransmitters, in particular glutamate. This occurs when receptors for the excitatory neurotransmitter glutamate, such as the N-methyl-D-aspartate (NMDA) receptor and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor are overactivated by glutamatergic storm or when neurons are damaged or dies, releasing their content of glutamate.


Excitotoxicity may be involved in SCI, stroke, TBI, hearing loss (through noise overexposure or ototoxicity), and in neurodegenerative diseases of the CNS, such as MS, AD, ALS, PD, alcoholism or alcohol withdrawal and especially over-rapid benzodiazepine withdrawal, and also HS. Other common conditions that cause excessive glutamate concentrations around neurons are hypoglycemia.


During normal conditions, glutamate concentration can be increased up to 1 mM in the synaptic cleft, which is rapidly decreased in the lapse of milliseconds. When the glutamate concentration around the synaptic cleft cannot be decreased or reaches higher levels, the neuron kills itself by a process called apoptosis. This pathologic phenomenon can also occur after brain injury, such as in TBI, and SCI. Within minutes after the injury, damaged neural cells within the lesion site spill glutamate into the extracellular space where glutamate can stimulate presynaptic glutamate receptors to enhance the release of additional glutamate. Brain trauma or stroke can cause ischemia, in which blood flow is reduced to inadequate levels. Ischemia is followed by accumulation of glutamate in the extracellular fluid, causing cell death, which is aggravated by lack of oxygen and glucose. The biochemical cascade resulting from ischemia and involving excitotoxicity is called the ischemic cascade. Because of the events resulting from ischemia and glutamate receptor activation, a deep chemical coma may be induced in patients with brain injury to reduce the metabolic rate of the brain, its need for oxygen and glucose, and save energy to be used to remove glutamate actively.


Furthermore, increased extracellular glutamate levels leads to the activation of Ca2+ permeable N-methyl-D-aspartate (NMDA) receptors on myelin sheaths and oligodendrocytes, leaving oligodendrocytes susceptible to Ca2+ influxes and subsequent excitotoxicity. One of the damaging results of excess calcium in the cytosol is initiating apoptosis through cleaved caspase processing. Another damaging result of excess calcium in the cytosol is the opening of the mitochondrial permeability transition pore, a pore in the membranes of mitochondria that opens when the organelles absorb too much calcium. Opening of the pore may cause mitochondria to swell and release reactive oxygen species and various proteins that can lead to apoptosis. The pore can also cause mitochondria to release more calcium. In addition, production of adenosine triphosphate (ATP) may be stopped, and ATP synthase may in fact begin hydrolyzing ATP instead of producing it.


Inadequate ATP production resulting from brain trauma can eliminate electrochemical gradients of certain ions. Glutamate transporters require the maintenance of these ion gradients to remove glutamate from the extracellular space. The loss of ion gradients results in not only the halting of glutamate uptake, but also the reversal of the transporters. The Na+-glutamate transporters on neurons and astrocytes can reverse their glutamate transport and start secreting glutamate at a concentration capable of inducing excitotoxicity. This results in a buildup of glutamate and further damaging activation of glutamate receptors.


On the molecular level, calcium influx is not the only factor responsible for apoptosis induced by excitotoxicity. Recently, it has been noted that extrasynaptic NMDA receptor activation, triggered by both glutamate exposure or hypoxicischemic conditions, activate a cAMP response element binding (CREB) protein shut-off, which in turn caused loss of mitochondrial membrane potential and apoptosis.


Thus, the activation of glutamate transporter in glial cells by dextran sulfate of the embodiments to prevent or at least inhibit accumulation of toxic levels of glutamate will effectively protect surrounding neurons from glutamate excitotoxicity. As a result, dextran sulfate of the embodiments protect neurons from damages and cell death that is otherwise the result of this glutamate excitotoxicity.


Also, when any tissue, including the CNS and PNS, and the brain, which is particularly sensitive to changes in oxygen/energy supply, is damaged or diseased, the energy supply to cells is compromised. As a result the cells in the tissue, such as CNS, PNS or brain, cannot function efficiently. Accordingly, the reduction in oxidative stress by dextran sulfate of the embodiments, i.e., the protection of the mitochondrial energy supply, allows surviving cells to function more efficiently and will also protect compromised neurons from dying by apoptosis.


Thus, dextran sulfate of the embodiments was effective in restoring mitochondrial related energy metabolism, profoundly imbalanced in subject suffering from brain damages, such as severe TBI (sTBI), with positive effects on the concentration of triphosphates purine and pyrimidine nucleotides. Particularly, ATP levels were only 16% lower than the value of healthy control subjects, whilst in untreated sTBI subjects a 35% decrease was found. Remarkably, NAA concentration in sTBI subjects treated with dextran sulfate was only 16% lower than the value of healthy control subjects, whilst sTBI subjects showed 48% lower values of this compound. This finding once again strongly confirms the strict connection between the homeostasis of NAA and correct mitochondrial energy metabolism, and underlines the importance of pharmacological interventions capable to act positively on mitochondrial functioning.


The general amelioration of brain metabolism produced by dextran sulfate administration also involved nicotinic coenzymes and metabolism of free CoA-SH and CoA-SH derivatives. This implies that dextran sulfate treated subjects, notwithstanding submitted to sTBI, had quasi-normal coenzymes to ensure correct oxido-reductive reactions and to allow a good functioning of the TCA cycle.


The aforementioned improvement of brain metabolism further contributed to the other remarkable dextran sulfate effects, i.e., the abolishment of glutamate excitotoxicity. Additionally, dextran sulfate affected sulfur-containing amino acids. Possibly, this effect might be related to the dextran sulfate molecule that contains S atoms. Increasing the bioavailability of this atom might have produced a net increase in the biosynthesis of these amino acids, one of them (MET) is crucial in the methylation reaction and in the so called methyl cycle.


Further positive effects recorded were the increase in antioxidants and the decrease of biochemical signatures of oxidative/nitrosative stress in sTBI subjects receiving administration of dextran sulfate. Of relevance is that the effects of dextran sulfate were more evident at 7 days post sTBI than at 2 days post sTBI. This strongly suggest that the general amelioration of brain metabolism caused by the dextran sulfate administration was not a transitory phenomenon.


Dextran sulfate of the embodiments further has an affinity to compete for the protein-protein interaction between oligomeric amyloid-β and PrPc, which will have a beneficial effect in subjects suffering from AD, prion diseases or amyloidosis.


Gene-expression data as presented herein indicates that dextran sulfate of the embodiments has a role in Schwann cells, neurons and in human umbilical vein endothelial cells (HUVECs) in protection against apoptosis; induction of angiogenesis (in HUVECs); increased migration and movement of cells; increased cell viability and survival; and induction of cellular differentiation.


The results from the HUVEC cell model indicates that dextran sulfate of the embodiments can protect against cell damage and promotes the development of new blood vessels in injured or diseased tissue, such as following stroke or other ischemic conditions.


The analysis of pivotal molecular pathways indicated that dextran sulfate reduced the effect of oxidative stress on mitochondria and increased uptake of damaging glutamate in Schwann cells. The gene expression data thereby confirmed the results seen in the animal model of TBI. Of particular interest was the finding that dextran sulfate of the embodiments inhibited Complex III. Inhibition of Complex III in turn leads to a reduction in mitochondrial oxidative stress. Furthermore, dextran sulfate of the embodiments also induced expression of a protein complex of calmodulin (CALM), which is a multifunctional intermediate calcium-binding messenger protein; G beta-gamma complex (Goy), which is a tightly bound dimeric G protein complex composed of one Gβ and one Gγ subunit; metabotropic glutamate receptor 7 (GRM7); and protein interacting with C kinase-1 (PICK1). This protein complex in turn inhibits glutamate release from presynaptic neurons as schematically shown in FIG. 19.


The results in Schwann cells indicate that dextran sulfate of the embodiment can protect against cell loss that occurs due to oxidative stress and glutamate excitotoxicity in the diseased or damaged nervous system, which is of relevance in, for instance, neurodegenerative diseases and TBI.


The results from the neurons indicate that dextran sulfate of the embodiment is capable of preventing and inhibiting apoptosis, preventing amyloid-β and Lewy body pathology and its negative effects on mitochondrial fragmentation and dysfunction, and subsequent damage and inhibiting fatty acid oxidation. Dextran sulfate of the embodiments also improved mitochondrial function, reduced the mitochondrial level of H2O2 and reactive oxygen species.


The analysis of the upstream regulators of the genes regulated by dextran sulfate indicated that dextran sulfate of the embodiments enhanced the effect of existing growth factors on cells. As shown in Table 12-14, dextran sulfate of the embodiments was capable of modulating the effect of several growth factors by either increasing their activation or by reducing their inhibition. This means that dextran sulfate of the embodiments has potential use in diseases, disorders and conditions in which an increase of the activity or a reduction of the inhibition of these growth factors would be beneficial to the patient. Non-limiting examples of such diseases, disorders and conditions include ALS; stroke; SCI; depression and other psychiatric disorders, such as mood disorders and bipolar disease; and metabolic disorders.


A hypothesis is that dextran sulfate binds to the growth factor molecules and facilitates binding to their receptors. This hypothesis is also supported by the observation that the dextran sulfate-induced differential gene expression in HUVECs, where the normal control medium already contained heparin, was relatively smaller than in the Schwann cells where the normal control medium did not contain heparin. This mechanism of action also explains why dextran sulfate is mainly effective in the acute stage of TBI, when growth factors are present, but less effective at later stage when the initial repair attempt has already diminished.


Thus, it could be possible that at least some of the therapeutic effects of dextran sulfate of the embodiments depends on existing repair mechanisms, which are amplified by it. In such a case, it is generally recommended that in any neurodegenerative disease, disorder or condition dextran sulfate is given in the early stage of the disease, disorder or condition when there is enough repair potential in the tissue.


By protecting cell metabolism, dextran sulfate may be a useful protective treatment in many degenerative conditions where cells are progressively lost due to ischemic, oxidative or traumatic damage. Non-limiting, but illustrative, examples of such degenerative conditions include stroke, ALS, MS, dementia, TBI, SCI, retinal damage, AD, etc. Dextran sulfate of the embodiments may help the damaged tissues to recover some lost function as it enhances the residual intrinsic repair mechanisms.


The gene-expression data therefore confirms the potential therapeutic usefulness of dextran sulfate of the embodiments in compromised states of the CNS and PNS, by promoting revascularisation, reducing secondary tissue damage, and promoting repair, and for neurodegenerative diseases, disorders and conditions, where it could promote neuronal survival, differentiation and ultimately repair.


A further interesting effect of dextran sulfate of the embodiments is that it affects cell adhesion. Cell adhesion was affected mainly in neurons and Schwann cells, where dextran sulfate of the embodiments promoted cell detachment and movement. The effect on cell adhesion was mainly due to the expression of metalloproteinase-type enzymes. This finding would also explain an anti-scarring effect of dextran sulfate of the embodiments. The results suggest that an anti-scarring effect mediated by dextran sulfate of the embodiments by activating degrading enzymes that help tissue remodeling and block the fibrogenic (scarring) signals in damaged tissues.


The metalloproteinase-type enzymes that are activated by dextran sulfate of the embodiments specifically act by dissolving the fibrous molecules that make up the scar, see Table 10-11. These enzymes are released by cells that migrate into damaged tissues. Accordingly, by allowing these cells to be more mobile, reducing their adhesion, dextran sulfate of the embodiments is permitting them to migrate better, release scar dissolving enzymes and remodel the tissue for better repair.


Thus, the anti-scarring actions of dextran sulfate of the embodiments indicate a potential use to treat fibroproliferative (scarring) conditions. These include, for instance, glaucoma, proliferative vitreoretinopathy, brain and spinal trauma injuries, sub-arachnoid hemorrhage in the brain, invasive surgical procedures, surgical adhesions, rotator cuff injuries, burns, reconstructive surgery, ulcerative conditions (diabetes), etc. Other fibrotic diseases and conditions include fibrosis in the lungs, such as pulmonary fibrosis, cystic fibrosis, idiopathic pulmonary fibrosis, progressive massive fibrosis and radiation-induced lung injury following treatment for cancer; in the liver, such as cirrhosis and biliary atresia; fibrosis in the heart, such as atrial fibrosis, endomyocardial fibrosis, old myocardial infarction; fibrosis in the brain, such as glial scar; pancreatitis; arthrofibrosis; Crohn's disease; Dupuytren's contracture; keloid; mediastinal fibrosis; myelofibrosis; Peyronie's disease; nephrogenic systemic fibrosis; retroperitoneal fibrosis; scleroderma or systemic sclerosis.


Fibrosis may also occur in connection with organ transplantation, such as of kidneys, lungs, livers, hearts, etc., and in connection with cell therapies and cell transplantation, such as of islet of Langerhans, hepatocytes, insulin producing cells, stem cells, progenitor cells, etc.


Interestingly, the gene expression data also shows that dextran sulfate of the embodiments activates the production of a natural scar reducing molecule called decorin, which further blocks scar production by ‘mopping up’ the growth factors that stimulate scar production by fibroblasts.


Decorin is a glycoprotein of on average 90-140 kD molecular weight. It belongs to the small-leucine rich proteoglycan (SLRP) family and consists of a protein core containing leucine repeats with a glucosaminoglycan (GAG) chain consisting of either chondroitin sulphate or dermatan sulphate. It binds to type I collagen fibrils through the decorin type I collagen binding region.


Decorin acts as a transforming growth factor beta 1 or 2 (TGF-β1/2) antagonist and reduces scarring. Reports show that in acute scarring the dominant effect of decorin is anti-fibrogenic through suppression of inflammatory fibrosis by neutralization of TGF-β1/2. Decorin also binds directly to collagen and one of its functions is to influence on the organization of collagen during wound healing.


Decorin has previously been described in inhibition of scanning in a model of cerebral lesion, hydrocephalus, and chronic spinal cord wounds. Decorin also induces fibrolysis of existing trabecular meshwork scars in a glaucoma model.


Taken together the anti-scarring actions of dextran sulfate of the embodiments indicate the potential for use to treat all clinical conditions where scarring is a problem. Dextran sulfate should work on both old and new scars. This is confirmed in the experimental data showing that dextran sulfate of the embodiments was capable of inducing dissolution of already established scar elements in the trabecular meshwork in glaucomatous eyes. This is a significant advantage of dextran sulfate of the embodiments since it cannot only be used to inhibit or at least suppress fibrosis and deleterious scar formation but also dissolve already established scars. This means that dextran sulfate of the embodiments allows for a scar dissolving and tissue remodeling for a better repair.


Dextran sulfate was assessed in a panel of human primary cell-based assays modeling complex tissue and disease biology and general tissue biology. The results from the assay indicate that dextran sulfate plays a role in regulating immune activation and/or immune resolution responses in the context of inflammation and wound healing biology.


The modulations of the inflammatory markers indicate utility of dextran sulfate in treating multiple chronic and acute inflammatory conditions and diseases including inflammatory components, such as ALS.


Initially after injury, the innate/proinflammatory response and selected components of the acquired immune response are up-regulated to maintain a defense against foreign pathogens, clear tissue debris present at the injury site, and orchestrate tissue remodeling, cell proliferation and angiogenic processes associated with the wound response. However, for proper wound healing to progress, this initial inflammatory response has to be regulated or shut down so as to allow for the reestablishment of matrix, recellularization and tissue remodeling. Such immune resolving activities were induced by dextran sulfate, including activation of MMP-1, PAR-1 and uPAR, indicating an induced immune resolution having utility in treating tissue damaged by trauma, including neurotrauma, which otherwise would result in deleterious fibrosis formation.


The effect in inflammation resolution of dextran sulfate as shown in the experimental data indicates that dextran sulfate would be useful in preventing, treating or at least inhibiting auto-immune diseases, and in particular auto-immune diseases effecting the central and/or peripheral nervous system. The inflammation resolution of dextran sulfate is also important in terms of blocking fibrogenesis. Furthermore, resolution of inflammation and suppression of microglial responses as seen from the experimental data are also important in neurodegenerative diseases, disorders and conditions.


Accordingly, the dextran sulfate, or the pharmacologically acceptable derivative thereof, would be useful preventing, treating or at least inhibiting neuroinflammation and neuroinflammatory conditions. Examples of such neuroinflammatory conditions include PD, ALS, MS, ADEM, myelitis and GDS.


In conclusion, dextran sulfate seemed to normalize and resolve the inflammation present in tissue after trauma or a disease and these results are thereby consistent with the effects of dextran sulfate seen in gene array and animal studies.


Generally, the function of the nervous system depends on the number of nerve cells, a healthy energy metabolism of the nerve cells and healthy connections between the nerve cells. Neurodegenerative diseases and disorders, and injuries causing neurodegeneration, typically have different triggers and causes but all lead to the same end-results, i.e., neurodegeneration. The functional effects of such diseases, disorders or injuries are often seen only after a comparatively large number of nerve cells are dead, whereas the triggers of the diseases or disorders may be present years before the symptoms occur.


Accordingly, a new approach is needed to treat or inhibit neurodegeneration. Such an approach should involve enhancing viable functions of the nervous system including a healthy energy metabolism of the nerve cells and healthy connections between the nerve cells. Furthermore, further neurodegeneration should be prevented or at least slowed down by reducing the triggers that lead to neuronal death and prevent further pathology even if triggers are present. In addition, the regenerative potential of the nervous system should be enhanced.


There are, thus, multiple triggers of neuron apoptosis that all contribute to neuronal loss during neurodegeneration and damage. These triggers include dysregulation of neurotransmitters leading to glutamate excitotoxicity and oxidative stress leading to mitochondrial dysfunction, thereby limiting the energy supply to neurons. Also, dysregulated neurofilaments lead to reduced motility and restricted supply of factors needed for neuron survival. Further triggers include release of inflammatory mediators causing secondary cell damage and scarring. Furthermore, vascular defects are common in neurodegenerative conditions.


Glutamate is produced in neurons and is pivotal for signaling mechanisms that support learning and memory in neurons. Excess glutamate released is in healthy brain tissue mopped up by glial cells to prevent toxic levels. Dextran sulfate induces an increased glutamate uptake by glia cells, whereas the glutamate production in neurons is not altered by dextran sulfate. Hence, the glutamate needed for learning and memory is not affected by dextran sulfate administrations, whereas harmful toxic amounts of glutamate is mopped up by glial cells. Accordingly, dextran sulfate attenuates the dysregulation of neurotransmitters leading to glutamate excitotoxicity.


Oxidative stress in neurodegeneration leads to mitochondrial dysfunction, thereby limiting the energy supply to neurons. Dextran sulfate reduced production of molecules that induce oxidative stress, including amyloid-β and Lewy bodies, and reduced oxidative stress. Hence, dextran sulfate prevents neuronal death induced by oxidative stress and prevents mitochondrial dysfunction in neurons. This means that dextran sulfate promotes a normalization of mitochondrial function in presence of oxidative stress and prevents energy crisis in neurons in presence of such oxidative stress. Accordingly, dextran sulfate attenuates oxidative stress in neurodegeneration that otherwise would lead to mitochondrial dysfunction.


A further trigger in neurodegeneration is dysregulated neurofilaments, which lead to reduced motility and restricted supply of survival factors. Dextran sulfate enhances the effect of growth factors present in neurons, increases migration and movement of nerve cells, reduces the production of degeneration-related protein products and induces cellular differentiation. Accordingly, dextran sulfate attenuates dysregulated neurofilaments.


Neurodegeneration also induces release of inflammatory mediators causing secondary cell damage and scarring. Such scarring is driven by inflammatory cytokines, in particular TGF-β. Dextran sulfate induces metallopeptidase expression, induces expression of the natural anti-scarring molecule decorin and inhibits TGF-β activity. Furthermore, dextran sulfate inhibits immune cell adhesion, cell aggregation, cell activation and fibrosis even in the presence of excessive TGF-β. Accordingly, dextran sulfate attenuates the negative effects, including scarring, caused by release inflammatory mediators. Dextran sulfate also acts to inhibit fibrogenesis as well as activating fibrolysis, which in combination leads to the beneficial effects seen by dextran sulfate in attenuating or even dissolving scarring.


Dextran sulfate protects HUVECs against apoptosis, induced angiogenesis and increased migration and movement of the endothelial cells. Accordingly, dextran sulfate enhances the physiological repair response in hypoxic tissues caused by neurodegenerative diseases, disorders or injuries but does not affect the normal healthy vasculature.


Accordingly, an aspect of the embodiments relates to a method of inducing differentiation of cells selected from a group consisting of glial cells and neurons. The method comprises contacting the cells with dextran sulfate, or a pharmaceutically acceptable derivative thereof, in order to induce differentiation of the cells.


In an embodiment, the method is an in vitro method. In such a case, contacting the cells comprises contacting the cells in vitro with the dextran sulfate, or the pharmaceutically acceptable derivative thereof. Thus, the cells are treated with and interacts in vitro with dextran sulfate, or the pharmaceutically acceptable derivative thereof.


In an embodiment, the neurons are obtained from stem cells, i.e., by differentiating stem cells into neurons that may be treated and further differentiated by the dextran sulfate, or the pharmaceutically acceptable derivative thereof.


Such an in vitro method may have important uses within research and diagnostics, in which fields neurons and/or glial cells are cultured in vitro. The dextran sulfate, or the pharmaceutically acceptable derivative thereof, may be added to such neuron or glial cell cultures, for instance added to the culture medium, in order to induce a differentiation of the cells as described herein.


The method may also be an ex vivo method, in which the neurons and/or glial cells have been extracted from a subject and is to be contacted with the dextran sulfate, or the pharmaceutically acceptable derivative thereof, outside of the subject's body.


The neurons and/or glial cells treated by the dextran sulfate, or the pharmaceutically acceptable derivative thereof, in the above described in vitro or ex vivo method to induce differentiation may be transplanted into a subject. The differentiated neurons and/or glial cells should then exert their desired function in the subject's body. In this approach, the subject may be suffering from a neurological disease as is further described herein.


The dextran sulfate, or the pharmaceutically acceptable derivative thereof, is, in an alternative embodiment, administered to a subject, such as a subject suffering from a neurological disease, disorder or condition. The dextran sulfate, of the pharmaceutically acceptable derivative thereof, will then contact neurons and/or glial cells inside the subject's body to induce cell differentiation. In this embodiment, the method is an in vivo method.


Another aspect of the embodiments relates to dextran sulfate, or a pharmaceutically acceptable derivative thereof, for use in inducing differentiation of cells selected from a group consisting of glial cells and neurons.


In an embodiment, the dextran sulfate, of the pharmaceutically acceptable derivative thereof, is for use in inducing differentiation of the cells in a subject suffering from a neurological disease, disorder or condition.


In a particular embodiment, the dextran sulfate, of the pharmaceutically acceptable derivative thereof, is for use in inducing differentiation of the cells in a subject suffering from a neurological disease, disorder or condition selected from a group consisting of a neurodegenerative disease, disorder or condition; a demyelinating disease, disorder or condition; a neuro ischemic disease, disorder or condition; a neuromuscular disease, disorder or condition; a traumatic nerve injury and a post-operative neurological condition.


In an embodiment, the subject is a human subject suffering from a neurodegenerative disease, disorder or condition selected from a group consisting of AD, PD, HD and ALS.


In an embodiment, the subject is a human subject suffering from a demyelinating disease, disorder or condition selected from a group consisting of MS, ADEM, a CNS neuropathy, CPM, a myelopathy, a leukoencephalopathy, a leukodystrophy, GBS, a peripheral neuropathy and Charcot-Marie-Tooth disease, preferably selected from a group consisting of MS, ADEM, CPM and GBS.


The dextran sulfate, or the pharmaceutically acceptable derivative thereof, may also, or alternatively, be used in inducing differentiation of the cells in other types of neurological diseases, disorders or conditions. Non-limiting examples of such other types of neurological diseases, disorders or conditions include neuro ischemic diseases, such as stroke, cerebral ischemic conditions and critical limb ischemia (CLI); neuromuscular disorders, such as ALS, botulism, congenital myasthenic syndromes, congenital myopathies, cramp-fasciculation syndrome, cerebral palsy, elevated creatine kinase, fasciculations, inclusion-body myositis, Lambert-Eaton syndrome, mitochondrial myopathy, motor neuron disease, muscle disorders, muscular dystrophy, myasthenia gravis, myotonic dystrophy, neuromuscular junction disorders, neuromyotonia, peripheral neuropathy and polymyositis; traumatic nerve injuries and post-operative neurological conditions.


A further aspect of the embodiments relates to dextran sulfate, or a pharmaceutically acceptable derivative, for use in treating, inhibiting or preventing glutamate excitotoxicity in a subject.


In an embodiment, dextran sulfate, or the pharmaceutically acceptable derivative thereof, is effective in treating, inhibiting or preventing glutamate excitotoxicity in neurons of the subjects.


In a particular embodiment, the subject is suffering from a neurological disease, disorder or condition causing cell damage and/or cell death to neurons as previously described herein.


This aspect also relates to a method of treating, inhibiting or preventing glutamate excitotoxicity. The method comprises administering dextran sulfate, or a pharmaceutically acceptable derivative thereof, to a subject in order to treat, inhibit or prevent glutamate excitotoxicity


Other aspects of the embodiments relates to dextran sulfate, or a pharmaceutically acceptable derivative thereof, for use in protecting neurons from oxidative stress induced by a neurological disease, disorder or condition, for use in ameliorating adverse changes in metabolic hemostasis in neurons induced by a neurological disease, disorder or condition, protecting mitochondrial function and mitochondrial energy metabolism in neurons in a subject suffering from a neurological disease, disorder or condition.


Dextran sulfate, or the pharmaceutically acceptable derivative thereof, can thereby be used to treat, inhibit or prevent a neurological disease, disorder or condition as described herein.


Dextran sulfate, or the pharmaceutically acceptable derivative thereof, can also be used to treat, inhibit or prevent ischemic, oxidative or traumatic damage to neurons and the CNS, or PNS, such as stroke, ALS, MND, MS, dementia, TBI, SCI, retinal damage, etc.


A further aspect relates to dextran sulfate, or a pharmaceutically acceptable derivative thereof, for use in treating, inhibiting or preventing fibrosis in a subject, and in particular for use in treating or inhibiting, such as by dissolving, established scars in a subject suffering from fibrosis or a fibrotic disease, disorder or condition.


Thus, dextran sulfate of the embodiments having an anti-scarring effect would be effective in wound treatment and tissue remodeling, in which there is a need for dissolving already established scars in order to enable a correct wound healing. This anti-scarring effect of dextran sulfate of the embodiments is thought to be a consequence of the previously described mechanisms of action of dextran sulfate including, for instance, inhibition of cell adhesion, induction of cell mobilization, induction of metalloproteases and scar dissolving enzymes, and inhibition of TGFβ, in particular TGFβ1, through the induction of decorin. This latter effect obtained with dextran sulfate of the embodiments is further of relevance in preventing or at least inhibiting fibrosis and scar formation through the induction of decorin.


Another aspect relates to dextran sulfate, or a pharmaceutically acceptable derivative thereof, for use in treating, inhibiting or prevent neuroinflammation in a subject, in particular in a subject suffering from a neurological disease, disorder or condition causing neuroinflammation.


Relates aspect of the embodiments define use of dextran sulfate, or a pharmaceutically acceptable derivative thereof, for the manufacture of a medicament for the various medical applications as disclosed herein, e.g., for treating, inhibiting or prevent any of the diseases, disorders or conditions as disclosed herein.


Further aspects relates to methods of treating, inhibiting or preventing the various diseases, disorders or conditions described above for the various uses of dextran sulfate, or the pharmaceutically acceptable derivative thereof. In such methods, dextran sulfate, or the pharmaceutically acceptable derivative thereof, is administered to the subject to treat. inhibitor prevent the disease, disorder or condition as disclosed herein.


In the following, reference to (average) molecular weight and sulfur content of dextran sulfate applies also to any pharmaceutically acceptable derivative of dextran sulfate. Hence, the pharmaceutically acceptable derivative of dextran sulfate preferably has the average molecular weight and sulfur content as discussed in the following embodiments.


Dextran sulfate outside of the preferred ranges of the embodiments are believed to have inferior effect and/or causing negative side effects to the cells or subject.


For instance, dextran sulfate of a molecular weight exceeding 10,000 Da (10 kDa) generally has a lower effect vs. side effect profile as compared to dextran sulfate having a lower average molecular weight. This means that the maximum dose of dextran sulfate that can be safely administered to a subject is lower for larger dextran sulfate molecules (>10,000 Da) as compared to dextran sulfate molecules having an average molecular weight within the preferred ranges. As a consequence, such larger dextran sulfate molecules are less appropriate in clinical uses when the dextran sulfate is to be administered to subjects in vo.


Dextran sulfate is a sulfated polysaccharide and in particular a sulfated glucan, i.e., polysaccharide made of many glucose molecules. Average molecular weight as defined herein indicates that individual sulfated polysaccharides may have a molecular weight different from this average molecular weight but that the average molecular weight represents the mean molecular weight of the sulfated polysaccharides. This further implies that there will be a natural distribution of molecular weights around this average molecular weight for a dextran sulfate sample.


Average molecular weight, or more correctly weight average molecular weight (Mw), of dextran sulfate is typically determined using indirect methods such as gel exclusion/penetration chromatography, light scattering or viscosity. Determination of average molecular weight using such indirect methods will depend on a number of factors, including choice of column and eluent, flow rate, calibration procedures, etc.


Weight average molecular weight (Mw): ΣMiNi/ΣMi2Ni, typical for methods sensitive to molecular size rather than numerical value, e.g., light scattering and size exclusion chromatography (SEC) methods. If a normal distribution is assumed, then a same weight on each side of Mw, i.e., the total weight of dextran sulfate molecules in the sample having a molecular weight below Mw is equal to the total weight of dextran sulfate molecules in the sample having a molecular weight above Mw. The parameter Ni indicates the number of dextran sulfate molecules having a molecular weight of Min a sample or batch.


In an embodiment, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mw equal to or below 10,000 Da. In a particular embodiment, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mw within an interval of from 2,000 Da to 10,000 Da.


In another embodiment, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mw within an interval of from 2,500 Da to 10,000 Da, preferably within an interval of from 3,000 Da to 10,000 Da. In a particular embodiment, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mw within an interval of from 3,500 Da to 9,500 Da, such as within an interval of from 3,500 Da to 8,000 Da.


In another particular embodiment, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mw within an interval of from 4,500 Da to 7,500 Da, such as within an interval of from 4,500 Da and 5,500 Da.


Thus, in some embodiments, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mw equal to or below 10,000 Da, equal to or below 9,500 Da, equal to or below 9,000 Da, equal to or below 8,500 Da, equal to or below 8,000 Da, equal to or below 7,500 Da, equal to or below 7,000 Da, equal to or below 6,500 Da, equal to or below 6,000 Da, or equal to or below 5,500 Da.


In some embodiments, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mw equal to or above 1,000 Da, equal to or above 1,500 Da, equal to or above 2,000 Da, equal to or above 2,500 Da, equal to or above 3,000 Da, equal to or above 3,500 Da, equal to or above 4,000 Da. or equal to or above 4,500 Da. Any of these embodiments may be combined with any of the above presented embodiments defining upper limits of the Mw, such combined with the upper limit of equal to or below 10,000 Da.


In a particular embodiment, the Mw of dextran sulfate, or the pharmaceutically acceptable derivative thereof, as presented above is average Mw, and preferably determined by gel exclusion/penetration chromatography, size exclusion chromatography, light scattering or viscosity-based methods.


Number average molecular weight (Mn):











M
i



N
i






N
i



,




typically derived by end group assays, e.g., nuclear magnetic resonance (NMR) spectroscopy or chromatography. If a normal distribution is assumed, then a same number of dextran sulfate molecules can be found on each side of Mn, i.e., the number of dextran sulfate molecules in the sample having a molecular weight below Mn is equal to the number of dextran sulfate molecules in the sample having a molecular weight above Mn.


In an embodiment, the dextran sulfate, of the pharmaceutically acceptable derivative thereof, has a Mn as measured by NMR spectroscopy within an interval of from 1,850 to 3,500 Da.


In a particular embodiment, the dextran sulfate, of the pharmaceutically acceptable derivative thereof, has a Mn as measured by NMR spectroscopy within an interval of from 1,850 Da to 2,500 Da, preferably within an interval of from 1,850 Da to 2,300 Da, such as within an interval of from 1,850 Da to 2,000 Da.


Thus, in some embodiments, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mn equal to or below 3,500 Da, equal to or below 3,250 Da, equal to or below 3,000 Da, equal to or below 2,750 Da, equal to or below 2,500 Da, equal to or below 2,250 Da, or equal to or below 2,000 Da. In addition, the dextran sulfate or the pharmaceutically acceptable derivative thereof has a Mn equal to or above 1,850 Da.


In an embodiment, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, has an average sulfate number per glucose unit within an interval of from 2.5 to 3.0.


In a particular embodiment, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, has an average sulfate number per glucose unit within an interval of from 2.5 to 2.8, preferably within an interval of from 2.6 to 2.7.


In an embodiment, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, has an average number of glucose units within an interval of from 4.0 to 6.0.


In a particular embodiment, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, has an average number of glucose units within an interval of from 4.5 to 5.5, preferably within an interval of from 5.0 to 5.2.


In an embodiment, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, has a Mn as measured by NMR spectroscopy within an interval of from 1,850 to 3,500 Da, an average sulfate number per glucose unit within an interval of from 2.5 to 3.0, and an average sulfation of C2 position in the glucose units of the dextran sulfate is at least 90%.


In an embodiment, the dextran sulfate has an average number of glucose units of about 5.1, an average sulfate number per glucose unit within an interval of from 2.6 to 2.7 and a Mn within an interval of from 1,850 Da and 2,000 Da.


In an embodiment, the pharmaceutically acceptable derivative of dextran sulfate is a sodium salt of dextran sulfate. In a particular embodiment, the sodium salt of dextran sulfate has an average number of glucose units of about 5.1, an average sulfate number per glucose unit within an interval of from 2.6 to 2.7 and a Mn inducing the Na+ counter ion within an interval of from 2,100 Da to 2,300 Da.


In an embodiment, the dextran sulfate has an average number of glucose units of 5.1, an average sulfate number per glucose unit of 2.7, an average Mn without Na+ as measured by NMR spectroscopy of about 1,900-1,950 Da and an average Mn with Na+ as measured by NMR spectroscopy of about 2,200-2,250 Da.


The dextran sulfate according to the embodiments can be provided as a pharmaceutically acceptable derivative of dextran sulfate, such as a pharmaceutically active derivative of dextran sulfate. Such pharmaceutically acceptable derivatives include pharmaceutically acceptable salts and pharmaceutically acceptable solvates of dextran sulfate, e.g., a sodium or potassium salt.


The subject is preferably a mammalian subject, more preferably a primate and in particular a human subject. The dextran sulfate, or the pharmaceutically acceptable derivative thereof, can, however, be used also in veterinary applications. Non-limiting example of animal subjects include primate, cat, dog, pig, horse, mouse, rat.


The dextran sulfate, or the pharmaceutically acceptable derivative thereof, is preferably administered by injection to the subject and in particular by intravenous (i.v.) injection, subcutaneous (s.c.) injection or (i.p.) intraperitoneal injection, preferably i.v. or s.c. injection. Other parenteral administration routes that can be used include intramuscular and intraarticular injection. Injection of the dextran sulfate, or the pharmaceutically acceptable derivative thereof, could alternatively, or in addition, take place directly in, for instance, a tissue or organ or other site in the subject body, at which the target effects are to take place.


The dextran sulfate, or the pharmaceutically acceptable derivative thereof, may alternatively, or in addition, be administered intrathecally. For instance, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, can be injected together with a suitable aqueous carrier or solution into the spinal canal, or into the subarachnoid space so that it reaches the cerebrospinal fluid (CSF). A further administration route is intraocular administration.


The dextran sulfate, or the pharmaceutically acceptable derivative thereof, of the embodiments is preferably formulated as an aqueous injection solution with a selected solvent or excipient. The solvent is advantageously an aqueous solvent and in particular a buffer solution. A non-limiting example of such a buffer solution is a citric acid buffer, such as citric acid monohydrate (CAM) buffer, or a phosphate buffer. For instance, dextran sulfate of the embodiments can be dissolved in saline, such as 0.9% NaCl saline, and then optionally buffered with 75 mM CAM and adjusting the pH to about 5.9 using sodium hydroxide. Also non-buffered solutions are possible, including aqueous injection solutions, such as saline, i.e., NaCl (aq). Furthermore, other buffer systems than CAM could be used if a buffered solution are desired.


The embodiments are not limited to injections and other administration routes can alternatively be used inducing orally, nasally, bucally, rectally, dermally, tracheally, bronchially, or topically. The active compound, dextran sulfate, is then formulated with a suitable excipient or carrier that is selected based on the particular administration route.


Suitable dose ranges for the dextran sulfate, or the pharmaceutically acceptable derivative thereof, may vary according to the application, such as in vitro versus in vivo, the size and weight of the subject, the condition for which the subject is treated, and other considerations. In particular for human subjects, a possible dosage range could be from 1 μg/kg to 100 mg/kg of body weight, preferably from 10 μg/kg to 50 mg/kg of body weight.


In preferred embodiments, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, is formulated to be administered at a dosage in a range from 0.05 to 50 mg/kg of body weight of the subject, preferably from 0.05 or 0.1 to 40 mg/kg of body weight of the subject, and more preferably from 0.05 or 0.1 to 30 mg/kg, or 0.1 to 25 mg/kg or from 0.1 to 15 mg/kg or 0.1 to 10 mg/kg body weight of the subject.


Administration of the dextran sulfate, or the pharmaceutically acceptable derivative thereof, does not necessarily have to be limited to treatment or inhibition of a present disease, disorder or condition but could alternatively, or in addition, be used for prophylaxis. In other words, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, could be administered to a subject that will undergo a medical procedure, such as surgery, that may cause nerve injuries or damage and/or fibrosis. The dextran sulfate, or the pharmaceutically acceptable derivative thereof, may also be used to prevent, inhibit or alleviate post-operative neurological complications and conditions in a subject that is about to undergo a medical procedure, such as surgery, and/or fibrosis.


The dextran sulfate, or the pharmaceutically acceptable derivative thereof, can be administered at a single administration occasion, such as in the form of a single bolus injection. This bolus dose can be injected quite quickly to the subject but is advantageously infused over time so that the dextran sulfate solution is infused over a few minutes of time to the patient, such as during 5 to 10 minutes.


Alternatively, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, can be administered at multiple, i.e., at least two, occasions during a treatment period.


The dextran sulfate, or the pharmaceutically acceptable derivative thereof, can be administered together with other active agents, either sequentially, simultaneously or in the form of a composition comprising the dextran sulfate, or the pharmaceutically acceptable derivative thereof, and at least one other active agent. The at least one active agent can be selected among any agent useful in any of the above mentioned diseases, disorders or conditions. The at least one active agent could also be in the form of cells in cell therapy, such as stem cells including, but not limited to, embryonic stem cells (ESCs) and mesenchymal stromal cells (MSCs).


For instance, research has been conducted on the effects of stem cells on animal models of brain degeneration, such as in Parkinson's disease, MS, ALS, and Alzheimer's disease. Furthermore clinical and animal studies have been conducted into the use of stem cells in cases of TBI.


The dextran sulfate, or the pharmaceutically acceptable derivative thereof, has beneficial effects to cells in vitro as shown in the experimental data. For instance, the dextran sulfate, or the pharmaceutically acceptable derivative thereof, protects the cells from oxidative stress, restores metabolic hemostasis in the cells, which is beneficial for the energy metabolism in the cells, and may act as a differentiation factor for the cells. These beneficial effects of the dextran sulfate, or the pharmaceutically acceptable derivative thereof, may also find uses in other types of cell therapy, i.e., not necessarily limited to stem cell therapy. Non-limiting, but illustrative, examples of such other types of cell therapy include myocardial cells, liver cells, connective tissue cells, optic nerve cells, lymphocytes, macrophages, glial cells, Schwann cells, neurons, etc. In such a case, the cells may be treated with the dextran sulfate, or the pharmaceutically acceptable derivative thereof, in vitro prior to administration into a subject. Alternatively, or in addition, the cells may be administered together with the dextran sulfate, or the pharmaceutically acceptable derivative thereof. Also treatment of tissue and organs in vitro or ex vivo with the dextran sulfate, or the pharmaceutically acceptable derivative thereof, could be useful to benefit from the positive effects of dextran sulfate of the embodiment, for instance protection against oxidative stress and restoration of metabolic hemostasis. Furthermore, treatment of cells, tissue and organs, in addition or as an alternative, following transplantation with the dextran sulfate, or the pharmaceutically acceptable derivative thereof, would be possible.


In an embodiment, dextran sulfate, or the pharmaceutically acceptable derivative thereof, is advantageously administered to the subject at an early or acute state following a damage causing the disease, disorder or conditions, such as TBI, or at an early or acute state following diagnosis of the disease, disorder or condition. This is in particular advantageous since some of the beneficial effects as seen by dextran sulfate of the embodiments is its capability of boosting and amplifying the intrinsic repair mechanism in the CNS and PNS. This is in particular relevant for treatment or inhibition of neurological diseases. However, the anti-scarring effect as seen by dextran sulfate of the embodiments indicates that the dextran sulfate will be effective also in dissolving already existing scar tissue and elements. Hence, for fibrosis and fibrotic conditions, dextran sulfate of the embodiments will have a therapeutic effect also during a late or chronic state.


EXAMPLES

In the following examples, a sodium salt of dextran sulfate, denoted low molecular weight dextran sulfate (LMW-DS) herein, was used (Tikomed AB, Sweden, WO 2016/076780).


Example 1

The study aims were to evaluate the effect of LMW-DS on cell survival and expression of differentiation proteins in three cell types, cerebral cortical neurons, motor neurons and Schwann cells, using two concentrations 0.01 and 0.1 mg/ml of LMW-DS.


Material and Methods


Cell Culture


All cells were cultured in specialized medium suited for that cell type. Plastic ware was treated with specific adhesion factors to improve adhesion of cells.









TABLE 1







Cell specifications










Cell type
Species
Origin
Manufacturer





Cortical neurons
Mouse
Embryonic brain
Lonza M-CX-400


Motor neurons
Human
Embryonic stem cells
Lonza FP-6051


Schwann cells
Human
Tumor
ATCC-CRL-2884









Neurons were cultured as 40,000 cells per well and Schwann cells 3,000 cells per. Cells were treated after 24 hours. The number of cells per well depended on the growth phenotype, proliferative capacity, etc.


Coating of Tissue Culture Plates


96-well plates were coated by adding 100 μl per well of a solution of 50 μg/ml poly-d-lysine (Sigma) in Hanks' Balanced Salt Solution (HBSS, Sigma) and incubating overnight at 37° C. in the dark. Plates were washed with cell culture water (Fisher) and air-dried for 30 min in the dark. Plates were coated by adding 75 μl per well of a solution of 15 μg/m laminin (Sigma) in media for the different cell types—PNGM™ (Primary Neuron Basal Medium, Lonza) for cortical neurons (Lonza), NeuroBlast (Lonza) for motor neurons (Lonza) and high glucose Dulbecco's Modified Eagle's medium (DMEM) (Sigma) for Schwann cells (ATCC)—and incubating for 1 hour at 37° C. in the dark. Laminin as removed from the plates right before seeding the cells.


Cortical Neurons


PNGM was prepared by adding PNGM Singlequots (Lonza) to PNBM medium and pre-warned to 37° C. Cells were thawed in a 37° C. water bath for no longer than 2 min and gently transferred into a15 ml tube. 5 ml of medium was gently added drop-wise. Cell suspension was mixed by inverting the tube carefully twice. Cells were counted with a Cellometer AUTO T4 (Nexcelom Bioscience). 40,000 cells per well were seeded in previously coated 96-well plates. Cells were incubated at 37° C. with 5% CO2. After at 2-hour incubation 80 μl of medium was removed and replaced with 80 μl of fresh medium and cells were allowed to settle for 24 hours before drug treatment.


Motor Neurons


NeuroBlast was pre-warmed to 37° C. Cells were thawed in a 37° C. water bath for no longer than 2 min. 1 ml of media was gently added drop-wise. Cells were resuspended and transferred to a 15 ml tube containing 9 ml of medium. Cells were centrifuged at 200 relative centrifugal force (RCF) for 5 min. Pellet was resuspended in 5 ml of medium and cells were counted with the Cellometer. 40,000 cells per well were seeded in previously coated 96-well plates. Cells were incubated at 37° C. with 5% CO2. Cells were allowed to settle for 24 hours before drug treatment. After 24 hours NeuroBlast medium was replaced with MotorBlast medium (Lonzo).


Schwann Cells


Schwann cells growth medium was prepared by adding 10% of fetal bovine serum (FBS, PAA) to high-glucose DMEM and pre-warmed to 37° C. Cells were thawed in a 37° C. water bath for no longer than 2 min. Cells were gently transferred to a tube containing 10 md of medium and centrifuged at 200 RCF for 5 min. Pellet was resuspended in 5 md of medium and cells were counted with the Cellometer. 3,000 cells per well were seeded in previously coated 96-well plates. Cells were incubated at 37° C. with 5% CO2. Cells were allowed to settle for 24 hours before drug treatment


Drug Treatment and Plate Setup


LMW-DS was prepared in the culture media of choice for each cell line and added to the respective wells in the doses 0.01 and 0.1 mg/d. For cell survival assays cells were analyzed after 24 and 48 hours in eight identical wells/dose/time point Differentiation and protein expression assay was analyzed ater 48 hours, also in octuplicates.


PI and Immuno-Staining No Adjustment for PI Histogram Shift


Cells were fixated in the wells. Propidium iodine was used for viability assay. For immunohistochemical analysis, neurons were stained with βIII-tubulin, which is a tubulin specific for neurons. Schwann cells were stained for Myelin Basic Protein (MBP). For the negative controls PBST (0.1% Triton-X-100 in PBS) was applied instead of primary antibodies.


Acumen Cytometry


The Acumen cytometer allows the direct cytometric analysis of attached cells without prior detachment Therefore cells were imaged in situ and based on DNA content (PI) categorized in different phases of cell cycle or deemed apoptotic or polyploid. The protein content of the cells can also be directly measured and expressed as either ‘total protein content’ or ‘mean protein content’.


Statistics


Data are expressed as mean values plus standard deviation of octuplicates (SD). Comparison between groups was performed using Student's t-test (two-tailed, equal variance; excel software). A p-value less than 0.05 was considered to be statistically significant (*p<0.05, **p<0.01, ***p<0.001).


Results


Mouse Cortical Neurons


The DNA histograms in FIG. 1 showed that the PI uptake of the cells were altered, shift of histograms to the right, which indicated that LMW-DS treatment had an effect on the cortical neurons. The cell population (G2/M phase) that started to divide is indicated in the figure.


The cell numbers were significantly reduced after treatment with LMW-DS. Although the fraction of apoptotic cells increased slightly, this was not the explanation for all cell loss but more likely due to cell detachment


Human Motor Neurons


The data for motor neurons was similar to the cortical neurons, with a shift in PI uptake (FIG. 2) and a small increase in proliferation within a population of very small cells.


There was a major cell loss in these cultures as well. The explanation to this is likely the same as for the cortical neurons.


Schwann Cells


Schwann cells did not appear as affected by LMW-DS as the neurons were. There was a similar PI shift (FIG. 3).


The effect on cell numbers and cell detachment was not as evident with Schwann cells as compared to the neurons. In contrast to neurons, the fraction of apoptotic cells reduced upon treatment with LMW-DS.


Differentiation-Related Protein Expression


Tubulin Expression in Mouse Cortical Neurons


The morphology of the cells changed in the treated cultures and cells were more rounded and larger (FIG. 4).


Tubulin is a family of proteins that are important building blocks in the cytoskeleton of cells. The βIII-tubulin is expressed solely by neurons. The intensity of tubulin was significantly increased in the cells treated with LMW-DS (FIG. 5A). Analysis of the positive cells showed that these cells were larger than the positive cells in the control culture (FIG. 5B).


Tubulin Expression in Human Motor Neurons


The expression of βIII-tubulin was significantly increased by LMW-DS (FIG. 6A). Cell morphology was dramatically altered by LMW-DS. The majority of the positive cells were smaller than the control cultures (FIG. 6B) although some cells became very large with extensive neurites (FIG. 7).


MBP Expression in Human Schwann Cells


The expression of MBP was significantly increased in LMW-DS treated cultures of Schwann cells (FIG. 8A). Analysis of cell size showed that the MBP-positive cells were larger after LMW-DS treatment compared to control (FIGS. 8B and 9).


Conclusions


Mouse Cortical Neurons and Human Motor Neurons


The increased expression of the βIII-tubulin and the morphological changes in the cells indicated that LMW-DS acted as a differentiation factor. The effect on motor neurons was particularly striking.


The changes induced by LMW-DS were evident in both mouse and human cells indicating that this effect was independent of species.


LMW-DS treatment led to an apparent cell loss in the cultures. It is believed that this effect of LMW-DS treatment was not due to a toxic effect. It is more likely that LMW-DS affected neuronal attachment. For instance, even the maximum measurements of apoptotic fraction (ater the adjustment for the PI shift) did not explain by far the loss of cells in the cultures and the apparent cell loss was much greater in the immunostained preparations (more washes) than in the PI preparations.


Human Schwann Cells


The increased expression of MBP and the morphological changes in the cells indicated that LMW-DS acted as a differentiation factor in glial cells.


In the dividing Schwann cells, the signs of cell detachment due to LMW-DS treatment were not as dramatic as in the neuronal cultures but they were visible


Accordingly, LMW-DS appeared to promote the differentiation of both neuronal and Schwann cells within a very short period of time (48 hours).


It is becoming widely accepted that neurodegenerative diseases, including trauma-related neurodegeneration, AD, post-stroke dementia, are associated with the reactivation of cell cycle related phenomena in neurons. In this context differentiation-inducing drugs have been proposed to be neuroprotective. Drugs supporting differentiation of Schwann cells would also be good candidates for the treatment of diseases associated with demyelination.


Example 2

The present study was performed to investigate the in vivo effect of LMW-DS in a mouse Experimental Autoimmune Encephalomyelitis (EAE) model.


EAE, sometimes denoted Experimental Allergic Encephalomyelitis, is an inflammatory demyelinating disease of the CNS and is CD4+ T-cell mediated. An EAE model in mice is the currently most widely accepted animal model of MS and ADEM in humans (Annals of Neurology, 60: 12-21, 2006). Generally, EAE is induced in mice with a single injection of peptides and proteins, including Myelin Oligodendrocyte Glycoprotein35-55 (MOG35-55) emulsified with adjuvant, which triggers an immune reaction against myelin. The injection results in a highly reproducible onset of EAE at about one week after injection. Inflammatory lesions of the CNS causing peripheral paralysis are characteristics of EAE in mice. Disease progression in the mice is followed by daily evaluation of disease symptoms using a well-recognized and evaluated scoring system (International Immunology, 10-333-340, 1998).


Materials and Methods

    • Incomplete Freund's Adjuvant (IFA) (Difco)
    • M. Tuberculosis H37RA (Difco)
    • MOG35-55 rodent (MDBioproducts)
    • Pertussis toxin (Sigma Aldrich)
    • Hank's Balanced Salt Solution (HBSS) (Gibco/Invitrogen)
    • Dulbecco's Phosphate-Buffered Saline (D-PBS) (Life Technologies)
    • Hydroxypropylmethylcellulosa (HPMC) (Sigma Aldrich)
    • 0.9% saline solution (9 mg/d NaCl, autoclaved) (Scharlau)
    • Cyclosporine A (Sigma Aldrich)
    • LMW-DS dissolved in 0.9% saline solution
    • Hepatocyte growth factor (HGF) recombinant mouse (R&D Systems)
    • Isoba vet 3.5% (Schering Plough Animal Health)
    • Methyl butane (Sigma Aldrich)


C57B1.6 mice (females, 8-10 weeks) were obtained from Harlan Europe. Mice were housed in the conventional animal facility, Lund University, Sweden, and kept at 12 h light/dark cycles in polystyrene cages (type IIL cages, max 7 mice per cage) containing wood shavings and fed with standard rodent chow and water ad libitum.


Disease Induction and Boost


EAE was induced day 0 by a s.c. injection at the flank of an emulsion containing 150 μg MOG35-55 and 300 μg H37RA in a volume of 100 μl per mouse. The emulsion was prepared by mixing complete Freund's adjuvant (CFA) (H37RA in IFA at a concentration of 6 mg/d) and MOG35-55 (dissolved in PBS to a concentration of 3 mg/ml) on ice. Mice were anesthetized during immunization to ascertain correct location of the injection. Pertussis toxin (PTX) was re-suspended in mqH2O at a concentration of 50 μg/nd and diluted to a final concentration of 1 μg/ml in PBS. Mice received a booster injection of 200 ng PTX i.p. on day 0 and day 2.


Dose Preparation


LMW-DS dilutions were prepared on day 0 and 14 for group 3. LMW-DS was diluted in 0.9% saline solution and sterile filtered through a 0.2 μM filter, according to doses described in Table 2 below. Vehicle given was 0.9% saline solution. Recombinant HGF was reconstituted in 1 ml 0.1% bovine serum albumin (BSA) in PBS at a concentration of 25 μg/nl and further diluted in PBS to 1 μg/ld. Cyclosporine A was prepared by dissolving 50 mg in 1 ml 70% ethanol and diluted in HPMC to final concentration of 0.98 mg/ml.









TABLE 2







Dose preparation












Group
Substance
Dose
Prepared
Weight/dose
Saline solution/dose















1
Vehicle
N/A
Day 0
N/A
200 μl














2
Cyclosporine A
10
mg/kg
Day 0
0.195
mg
200 μl


3
LMW-DS
10
mg/kg
Day 9, 14
0.195
mg
200 μl


4
HGF
100
ng
Day 16
100
ng
100 μl









Experimental Groups and Administration of LMW-DS


Treatment was initiated day 0 for group 2-3, which was administered i.p. in group 2 and s.c. in group 3 three times weekly. Treatment was initiated day 18 for remaining groups. Animals in group 4 were administered every other day i.v., with a total of three injections. The treatment groups were mixed within cages to avoid cage effects and systemic errors caused by unequal housing.


Disease Evaluation


Disease progression was followed through the experiment. Plasma was collected at the end of the experiment, i.e., day 28 after disease induction.


Clinical disease was monitored daily where the disease is graded according to a scale ranging from 0-8.


0=healthy


1=tail weakness


2=tail paralysis


3=tail paralysis and mild waddle


4=tail paralysis and severe waddle


5=tail paralysis and paralysis of one limb


6=tail paralysis and paralysis of a pair of limbs


7=tetraparesis or paralysis of three limbs


8=premorbid or dead


Graphs and Statistics


Graphs and statistical analysis were performed using Prism 5 for Mac OS X (GraphPad Software, San Diego, Calif., USA). All statistics were calculated using a one-tailed non parametric Mann-Whitney test where p<0.05 was considered significant *, # and **, ## represent a p-value <0.01.


Results and Discussion



FIG. 10 illustrates the EAE development in mice in control groups (vehicle and Cyclosporine A) and a group treated with LMW-DS s.c. three times weekly, where Cyclosporine A had significantly (*) lower mean score on day 13, 14, 16, 20, 21 and 25-27 compared with vehicle control. Animals treated with 10 mg/kg dextran sulfate s.c. three times weekly had significantly (#) lower mean score on day 13, 14, 16, 17, 19, 21 and 26 compared with vehicle control.



FIG. 11 illustrates vehicle and mice treated with 100 ng/dose HGF i.v. every other day for five days stating at day 18 (see arrow). HGF did not result in any significant difference as compared to vehicle.


LMW-DS, thus, resulted in a significantly lower mean score compared with vehicle control in the EAE model. Accordingly, the results indicate that LMW-DS has positive effects in neurodegenerative and demyelinating diseases of the CNS, such as MS and ADEM.


Example 3

The effects of daily sub-cutaneous injections of LMW-DS on glutamate excitotoxicity and mitochondrial function after severe traumatic brain injury (sTBI) in rats were evaluated by high-performance liquid chromatography (HPLC) analysis of frozen brain samples. The results suggest that LMW-DS interferes with mitochondrial function to improve energy metabolism and also decreases glutamate excitotoxicity.


Materials and Methods


Induction of sTBI and Drug Administration Protocol


The experimental protocol used in this study was approved by the Ethical Committee of the Catholic University of Rome, according to international standards and guidelines for animal care. Male Wistar rats of 300-350 g body weight (b.w.) were fed with standard laboratory diet and water ad libitum in a controlled environment.


They were divided into three groups:


1) n=6 animals subjected to sTBI, with drug administration after 30 minutes and sacrifice at 2 days post-TBI (Acute phase 1)


2) n=6 animals subjected to severe-TBI, with drug administration after 30 minutes and sacrifice at 7 days post-TBI (Acute phase 2).


3) n=6 animals subjected to severe-TBI, with drug administration after 3 days and sacrifice at 7 days post-TBI (Chronic phase).


As the anesthetic mixture, animals received 35 mg/kg b.w. ketamine and 0.25 mg/kg b.w. midazolam by i.p. injection. sTBI was induced by dropping a 450 g weight from 2 m height on to the rat head that had been protected by a metal disk previously fixed on the skull, according to the “weight drop” impact acceleration model (Marmarou et al., A new model of diffuse brain injury in rats. Part I: Pathophysiology and biomechanics. J Neurosurg. 1994; 80: 291-300). Rats that suffered from skull fracture, seizures, nasal bleeding, or did not survive the impacts, were excluded from the study. At the end of each period of treatment, rats were anesthetized again and then immediately sacrificed.


The drug treatment was a subcutaneous injection of 0.5 ml of LMW-DS (15 mg/kg) and administered according to the aforementioned schematic protocol.


Cerebral Tissue Processing


An in vivo craniectomy was performed in all animals during anesthesia, after carefully removing the rat's skull, the brain was exposed and removed with a surgical spatula and quickly dropped in liquid nitrogen. After the wet weight (w.w.) determination, tissue preparation was affected as previously disclosed (Tavazzi et al., Cerebral oxidative stress and depression of energy metabolism correlate with severity of diffuse brain injury in rats. Neurosurgery. 2005; 56: 582-589; Vagnozzi et al., Temporal window of metabolic brain vulnerability to concussions: mitochondrial-related impairment-part I. Neurosurgery. 2007; 61: 379-388; Tavazzi et al., Temporal window of metabolic brain vulnerability to concussions: oxidative and nitrosative stresses-part II. Neurosurgery. 2007; 61: 390-395; Amorini et al., Severity of experimental traumatic brain injury modulates changes in concentrations of cerebral free amino acids. J Cell Mol Med. 2017; 21: 530-542.). Briefly, whole brain homogenization was performed with 7 ml of ice-cold, nitrogen-saturated, precipitating solution composed by CH3CN+10 mM KH2PO4, pH 7.40, (3:1; v:v), and using an Ultra-Turrax set at 24,000 rpm/min (Janke & Kunkel, Staufen, Germany). After centrifugation at 20,690×g, for 10 min at 4° C., the clear supernatants were saved, pellets were supplemented with 3 ml of the precipitating solution and homogenized again as described above. A second centrifugation was performed (20,690×g, for 10 min at 4° C.), pellets were saved, supernatants combined with those previously obtained, extracted by vigorous agitation with a double volume of HPLC-grade CHCl3 and centrifuged as above. The upper aqueous phases containing water-soluble low-molecular weight compounds were collected, subjected to chloroform washings for two more times (this procedure allowed the removal of all the organic solvent and of any lipid soluble compound from the buffered tissue extracts), adjusted in volumes with 10 mM KH2PO4, pH 7.40, to have ultimately aqueous 10% tissue homogenates and saved at −80° C. until assayed.


HPLC Analyses of Purine-Pyrimidine Metabolites


Aliquots of each deproteinized tissue samples were filtered through a 0.45 μm HV Millipore filter and loaded (200 μl) onto a Hypersil C-18, 250×4.6 mm, 5 μm particle size column, provided with its own guard column (Thermo Fisher Scientific, Rodano, Milan, Italy) and connected to an HPLC apparatus consisting of a Surveyor System (Thermo Fisher Scientific, Rodano, Milan, Italy) with a highly sensitive diode array detector (equipped with a 5 cm light path flow cell) and set up between 200 and 300 nm wavelength. Data acquisition and analysis were performed by a PC using the ChromQuest® software package provided by the HPLC manufacturer.


Metabolites belonging to the purine-pyrimidine profiles (listed below) and related to tissue energy state, mitochondrial function and relative to oxidative-nitrosative stresses were separated, in a single chromatographic run, according to slight modifications of existing ion-pairing HPLC methods (Lazzarino et al., Single-sample preparation for simultaneous cellular redox and energy state determination. Anal Biochem. 2003; 322: 51-59; Tavazzi et al., Simultaneous high performance liquid chromatographic separation of purines, pyrimidines, N-acetylated amino acids, and dicarboxylic acids for the chemical diagnosis of inborn errors of metabolism. Clin Biochem. 2005; 38: 997-1008). Assignment and calculation of the compounds of interest in chromatographic runs of tissue extracts were carried out at the proper wavelengths (206, 234 and 260 nm) by comparing retention times, absorption spectra and areas of peaks with those of peaks of chromatographic runs of freshly-prepared ultra-pure standard mixtures with known concentrations.


List of compounds: Cytosine, Creatinine, Uracil, Beta-Pseudouridine, Cytidine, Hypoxanthine, Guanine, Xanthine, Cytidine diphosphate-Choline (CDP-Choline), Ascorbic Acid, Uridine, Adenine, Nitrite (—NO2), reduced glutathione (GSH), Inosine, Uric Acid, Guanosine, Cytidine monophosphate (CMP), malondialdehyde (MDA), Thyimidine, Orotic Acid, Nitrate (—NO3), Uridine monophosphate (UMP), Nicotinamide adenine dinucleotide, oxidized (NAD+), Adenosine (ADO), Inosine monophosphate (IMP), Guanosine monophosphate (GMP), Uridine diphosphate-glucose (UDP-Glc), UDP-galactose (UDP-Gal), oxidized glutathione (GSSG), UDP-N-acetyl-glucosamine (UDP-GlcNac), UDP-N-acetyl-galactosamine (UDP-GalNac), Adenosine monophosphate (AMP), Guanosine diphosphate-glucose (GDP-glucose), Cytidine diphosphate (CDP), UDP, GDP, Nicotinamide adenine dinucleotide phosphate, oxidized (NADP+), Adenosine diphosphate-Ribose (ADP-Ribose), Cytidine triphosphate (CTP), ADP, Uridine triphosphate (UTP), Guanosine triphosphate (GTP), Nicotinamide adenine dinucleotide, reduced (NADH), Adenosine triphosphate (ATP), Nicotinamide adenine dinucleotide phosphate, reduced (NADPH), Malonyl-CoA, Coenzyme A (CoA-SH), Acetyl-CoA, N-acetylaspartate (NAA).


HPLC Analyses of Free Amino Acids and Amino Group Containing Compounds


The simultaneous determination of primary free amino acids (FAA) and amino group containing compounds (AGCC) (listed below) was performed using the precolumn derivatization of the sample with a mixture of Ortho-phthalaldehyde (OPA) and 3-Mercaptopropionic acid (MPA), as described in detail elsewhere (Amorini et al., Severity of experimental traumatic brain injury modulates changes in concentrations of cerebral free amino acids. J Cell Mol Med. 2017; 21: 530-542; Amorini et al., Metabolic profile of amniotic fluid as a biochemical tool to screen for inborn errors of metabolism and fetal anomalies. Mol Cell Biochem. 2012; 359: 205-216). Briefly, the derivatization mixture composed by 25 mmol/l OPA, 1% MPA, 237.5 mmol/l sodium borate, pH 9.8 was prepared daily and placed in the autosampler. The automated precolumn derivatization of the samples (15 μl) with OPA-MPA was carried out at 24° C. and 25 μl of the derivatized mixture were loaded onto the HPLC column (Hypersil C-18, 250×4.6 mm. 5 μm particle size, thermostated at 21° C.) for the subsequent chromatographic separation. In the case of glutamate, deproteinized brain extracts were diluted 20 times with HPLC-grade H2O prior to the derivatization procedure and subsequent injection. Separation of OPA-AA and OPA-AGCC was carried out at a flow rate of 1.2 ml/min using two mobile phases (mobile phase A=24 mmol/l CH3COONa+24 mmol/l Na2HPO4+1% tetrahydrofurane+0.1% trifluoroacetic acid, pH 6.5; mobile phase B=40% CH3OH+30% CH3CN+30% H2O), using an appropriate step gradient (Amorini et al., Severity of experimental traumatic brain injury modulates changes in concentrations of cerebral free amino acids. J Cell Mol Med. 2017; 21: 530-542; Amorini et al., Metabolic profile of amniotic fluid as a biochemical tool to screen for inborn errors of metabolism and fetal anomalies. Mol Cell Biochem. 2012; 359: 205-216).


Assignment and calculation of the OPA-AA and OPA-AGCC in chromatographic runs of whole brain extracts were carried out at 338 nm wavelengths by comparing retention times and areas of peaks with those of peaks of chromatographic runs of freshly-prepared ultra-pure standard mixtures with known concentrations.


List of FAA and ACGC compounds: aspartate (ASP), glutamate (GLU), asparagine (ASN), serine (SER), glutamine (GLN), histidine (HIS), glycine (GLY), threonine (THR), citrulline (CITR), arginine (ARG), alanine (ALA), taurine (TAU), gamma-aminobutyrric acid (GABA), tyrosine (TYR), S-adenosylhomocysteine (SAH), L-cystathionine (L-Cystat), valine (VAL), methionine (MET), tryptophane (TRP), phenylalanine (PHE), isoleucine (ILE), leucine (LEU), ornithine (ORN), lysine (LYS).


Statistical Analysis


Normal data distribution was tested using the Kolmogorov-Smirnov test Differences across groups were estimated by the two-way ANOVA for repeated measures. Fisher's protected least square was used as the post hoc test. Only two-tailed p-values of less than 0.05 were considered statistically significant


Results


The most evident result among the cerebral values of the 24 standard and non-standard amino acids and primary amino-group containing compounds was that LMW-DS treatment had a remarkable inhibition of the increase in glutamate (GLU) induced by sTBI (FIG. 12), thus certainly causing a decrease of excitotocity consequent to excess of this compound.


This effect was, however, visible only if the drug was administered early post-injury (30 min following sTBI), with no efficacy on this excitotoxicity marker when LMW-DS was injected at 3 days after sTBI. It is also worth underlining that LMW-DS had significant beneficial effects on compounds involved in the so-called methyl cycle (Met, L-Cystat, SAH), see Table 3.









TABLE 3





concentrations of cerebral compounds






















ASP
GLU
ASN
SER
GLN
HIS





Control
 2.67 ± 0.45
 8.95 ± 1.76
 0.11 ± 0.02
 0.56 ± 0.14
 3.70 ± 0.72
0.045 ± 0.01


TBI 2
 3.86 ± 0.80
 11.8 ± 1.15
 0.12 ± 0.02
 0.85 ± 0.17
 4.81 ± 0.78
0.060 ± 0.01


days








TBI 5
 3.85 ± 0.91
12.77 ± 1.17
 0.09 ± 0.03
 0.69 ± 0.19
 3.57 ± 0.62
0.046 ± 0.008


days








Acute
 2.40 ± 0.56d,i
 9.81 ± 1.66i
 0.12 ± 0.02i
 0.88 ± 0.25a
 4.78 ± 1.09a
0.068 ± 0.015b


phase 1








Acute
 2.94 ± 0.98f,j
 9.93 ± 1.56e,i
 0.13 ± 0.03i
 0.71 ± 0.28b
 3.66 ± 0.41
0.055 ± 0.019


phase 2








Chronic
 4.46 ± 0.70a,f
13.58 ± 1.28a
 0.18 ± 0.02a
 0.93 ± 0.27a,e
 3.98 ± 0.34
0.047 ± 0.021


phase






GLY
THR
CITR
ARG
ALA
TAU





Control
 0.65 ± 0.10
 0.58 ± 0.15
0.018 ± 0.002
 0.16 ± 0.034
 0.30 ± 0.067
 3.60 ± 0.89


TBI 2
 1.54 ± 0.16
 0.78 ± 0.17
0.017 ± 0.006
0.098 ± 0.029
 0.66 ± 0.17
 4.93 ± 0.79


days








TBI 5
 0.84 ± 0.13
 0.60 ± 0.12
0.017 ± 0.007
 0.13 ± 0.52
 0.35 ± 0.047
 4.00 ± 0.97


days








Acute
 0.83 ± 0.25a,c
 0.92 ± 0.29a
0.018 ± 0.004
 0.13 ± 0.02b,d
 0.50 ± 0.128
 4.86 ± 0.85b


phase 1








Acute
 0.71 ± 0.16f,i
 0.66 ± 0.23
0.018 ± 0.008
 0.16 ± 0.03
 0.52 ± 0.24a,e
 3.80 ± 1.19


phase 2








Chronic
 1.05 ± 0.13a,f
 0.75 ± 0.24a,e
0.020 ± 0.006
 0.14 ± 0.02
 0.57 ± 0.28a,e
 4.49 ± 0.43a


phase






GABA
TYR
SAH
L-Cystat
VAL
MET





Control
 1.15 ± 0.40
0.120 ± 0.022
 0.26 ± 0.010
0.147 ± 0.080
0.049 ± 0.005
0.015 ± 0.002


TBI 2
 1.74 ± 0.35
0.160 ± 0.023
0.077 ± 0.009
0.337 ± 0.011
0.057 ± 0.005
0.011 ± 0.001


days








TBI 5
 1.50 ± 0.30
0.123 ± 0.013
0.043 ± 0.013
0.202 ± 0.061
0.042 ± 0.014
0.010 ± 0.001


days








Acute
 1.43 ± 0.25a
 0.15 ± 0.03
0.033 ± 0.008b,c,j
0.185 ± 0.031b,c,i
0.042 ± 0.011
0.016 ± 0.0054d,j


phase 1








Acute
 1.60 ± 0.24a
0.172 ± 0.046b,f
0.026 ± 0.010f,i
0.173 ± 0.038b,f,i
0.057 ± 0.017
0.022 ± 0.006b,e,i


phase 2








Chronic
 1.85 ± 0.65a
 0.21 ± 0.05f
0.050 ± 0.013a
 0.26 ± 0.05a,f
0.040 ± 0.016b
0.009 ± 0.004b


phase






TRP
PHE
ILE
LEU
ORN
LYS





Control
0.013 ± 0.002
0.023 ± 0.001
0.030 ± 0.010
0.015 ± 0.002
0.012 ± 0.003
0.206 ± 0.042


TBI 2
0.023 ± 0.004
0.046 ± 0.011
0.043 ± 0.005
0.014 ± 0.007
0.013 ± 0.015
0.202 ± 0.023


days








TBI 5
0.012 ± 0.003
0.033 ± 0.006
0.038 ± 0.010
0.014 ± 0.005
0.009 ± 0.002
 0.19 ± 0.092


days








Acute
0.030 ± 0.007b,dg,i
0.031 ± 0.011b,d
0.038 ± 0.007
0.021 ± 0.005a,c
0.014 ± 0.007
0.236 ± 0.057b,d,h


phase 1








Acute
0.015 ± 0.006
0.028 ± 0.010
0.048 ± 0.017a
0.018 ± 0.004
0.011 ± 0.005
 0.32 ± 0.04a,e,i


phase 2








Chronic
0.012 ± 0.007
0.033 ± 0.011b
0.041 ± 0.016b
0.024 ± 0.032b,f
0.017 ± 0.009a,e
0.179 ± 0.036


phase






ap < 0.01 (comparison with control),




bp < 0.05 (comparison with control),




cp < 0.01 (comparison with TBI 2 days),




dp < 0.05 (comparison with TBI 2 days),




ep < 0.01 (comparison with TBI 5 days),




fp < 0.05 (comparison with TBI 5 days),




gp < 0.01 (comparison with Acute phase 2),




hp < 0.05 (comparison with Acute phase 2),




ip < 0.01 (comparison with Chronic phase),




jp < 0.05 (comparison with Chronic phase)



Table 3 lists the compounds in μmol/g (w.w.)






As is seen in Table 4, LMW-DS positively affected various compounds related to energy metabolism and mitochondrial functions. Particularly interesting are the concentrations of adenine nucleotides and ATP/ADP ratio as measurement of mitochondria phosphorylating capacity (FIG. 13).









TABLE 4





concentrations of energy metabolites





















cytosine
creatinine
uracil
β-pseudouridine
cytidine





Control
12.89 ± 1.77
18.77 ± 2.09
10.65 ± 1.11
6.32 ± 1.11
12.54 ± 1.84


TBI 2 days
23.58 ± 5.62
28.61 ± 3.33
17.32 ± 1.54
8.45 ± 0.98
11.33 ± 1.23


TBI 5 days
21.56 ± 2.88
76.03 ± 8.19
24.31 ± 2.60
18.66 ± 1.29 
26.12 ± 2.37


Acute phase 1
 17.69 ± 2.50b,d
  24.55 ± 3.20b,g,i
14.56 ± 5.44

6.65 ± 1.30g,i

15.40 ± 3.04


Acute phase 2
 15.70 ± 4.10f
37.27 ± 5.82a,e,j

19.40 ± 7.52a,e

13.26 ± 3.16a,e,j
 16.18 ± 4.21e


Chronic phase

15.58 ± 2.50b,f

51.25 ± 10.17a,f

16.57 ± 2.99a,f

18.62 ± 2.80a 
 14.71 ± 2.83e
















hypoxanthine
guanine
xanthine
CDP choline
ascorbic acid





Control

7.21 ± 1.22

3.12 ± 0.78
 8.09 ± 1.48
7.50 ± 1.01
4954.36 ± 212.43


TBI 2 days
11.36 ± 1.52 
5.42 ± 0.87
13.15 ± 2.88
9.83 ± 1.71
3186.09 ± 287.87


TBI 5 days
16.83 ± 2.13 
4.56 ± 1.29
14.14 ± 2.11
8.12 ± 1.55
2234.51 ± 198.62


Acute phase 1
14.47 ± 2.87a

4.80 ± 1.24b

9.46 ± 2.34d
 10.93 ± 3.22b,h
3733.10 ± 277.88a,d


Acute phase 2
 12.90 ± 2.58a,j
4.73 ± 1.07
 10.41 ± 2.11f
6.91 ± 1.86

3512.58 ± 224.62a,e



Chronic phase
17.97 ± 4.49a

5.31 ± 1.04b


9.35 ± 0.83f

8.37 ± 2.19

3375.03 ± 856.41a,e

















uridine
adenine
NO2
GSH
inosine





Control
56.17 ± 3.88
23.14 ± 2.16
151.21 ± 16.79
3810.29 ± 200.65
 94.33 ± 17.48


TBI 2 days
112.09 ± 15.65
54.85 ± 8.88
233.14 ± 25.48
2109.89 ± 156.71
126.36 ± 14.06


TBI 5 days
 94.8 ± 10.75
76.55 ± 6.33
256.28 ± 28.07
1902.56 ± 183.42
137.73 ± 24.82


Acute phase 1
  76.35 ± 12.85a,c
  44.82 ± 6.31a,d,g
 216.03 ± 41.74a
2649.50 ± 397.31a,d

92.55 ± 31.20c



Acute phase 2
63.02 ± 9.66b,e

58.16 ± 6.36a,f


226.40 ± 30.95b


2821.50 ± 242.82a,e


85.52 ± 20.36e



Chronic phase
 63.28 ± 3.37f

52.94 ± 8.59a,f

 217.67 ± 55.04a

2608.67 ± 358.07a,e

 105.81 ± 25.57f
















uric acid
guanosine
CMP
MDA
thymidine





Control
 2.75 ± 0.35
18.96 ± 2.90
12.16 ± 1.61
1.13 ± 0.25
0.54 ± 0.16


TBI 2 days
30.84 ± 5.13
17.52 ± 2.44
30.83 ± 4.81
28.37 ± 3.37 
0.67 ± 0.19


TBI 5 days
23.63 ± 3.40
21.32 ± 3.04
27.20 ± 3.76
7.69 ± 2.18
0.97 ± 0.32


Acute phase 1
  23.62 ± 3.77a,d,h
20.71 ± 5.66
30.12 ± 9.97a,h
12.47 ± 2.09a,c,g
0.69 ± 0.11


Acute phase 2
19.17 ± 2.15a,h,i

17.90 ± 3.24j

 15.68 ± 2.12f,j
4.82 ± 1.73a,e,i
 0.49 ± 0.20f


Chronic phase
 27.77 ± 3.60a

28.87 ± 7.60a,f


20.51 ± 3.73a,f

 11.62 ± 3.90a,e
0.71 ± 0.11
















orotic acid
NO3
UMP
NAD+
ADO





Control

5.67 ± 0.85

178.66 ± 37.75
 96.21 ± 10.51
506.88 ± 59.15
50.73 ± 8.29 


TBI 2 days
10.09 ± 1.54 
265.31 ± 47.68
116.06 ± 13.55
322.37 ± 30.87
66.19 ± 11.06


TBI 5 days
14.27 ± 1.67 
325.19 ± 60.08
128.70 ± 28.28
261.67 ± 49.97
78.91 ± 20.42


Acute phase 1
  8.80 ± 2.45b,h,j

210.64 ± 91.95d

107.80 ± 21.62
404.63 ± 51.10a,c,i
71.67 ± 15.87


Acute phase 2
13.34 ± 3.65a
198.56 ± 25.93e,i

138.73 ± 32.01b

401.18 ± 34.53a,e,i
 82.11 ± 16.51a


Chronic phase
12.05 ± 1.50a
 241.27 ± 18.84e
103.11 ± 29.79
 301.13 ± 29.90a
 89.97 ± 12.98a
















IMP
GMP
UDP-Glc
UDP-Gal
GSSG





Control
54.09 ± 12.15
 98.93 ± 10.42
47.23 ± 3.14
120.18 ± 10.99
189.21 ± 20.19


TBI 2 days
50.82 ± 10.45
181.94 ± 27.20
45.17 ± 6.67
131.19 ± 18.49
179.51 ± 29.17


TBI 5 days
124.46 ± 18.97 
158.35 ± 40.43
41.43 ± 5.14
112.26 ± 17.36
196.65 ± 33.48


Acute phase 1
67.71 ± 10.639g,i
177.00 ± 32.39a,g

32.14 ± 4.59g

119.45 ± 12.50
185.21 ± 48.10


Acute phase 2
102.63 ± 22.09a 
91.47 ± 12.35e,i

44.44 ± 7.59j

145.14 ± 27.76
219.54 ± 53.36


Chronic phase
 99.29 ± 13.82a
 148.56 ± 31.21a

35.79 ± 3.45b

122.29 ± 12.15

231.08 ± 44.34b,f

















UDP-GlcNac
UDP-GalNac
AMP
GDP glucose
CDP





Control
93.71 ± 14.16
35.09 ± 3.07
30.31 ± 5.12  
34.89 ± 8.18
14.08 ± 1.14


TBI 2 days
93.71 ± 14.16
20.17 ± 3.33
73.32 ± 12.88 
39.16 ± 6.87
18.31 ± 2.15


TBI 5 days
129.54 ± 21.21 
10.56 ± 2.89
98.32 ± 10.99 
 59.88 ± 12.54
19.03 ± 6.45


Acute phase 1

95.85 ± 19.73h,i

 19.17 ± 4.01a
53.61 ± 17.91a,c,j
38.71 ± 6.86

25.53 ± 6.83a,c



Acute phase 2
130.65 ± 28.41a 

19.90 ± 3.12a,e

57.70 ± 23.01a,e,j

49.25 ± 10.33a

 24.29 ± 6.76a


Chronic phase
129.42 ± 15.88b 

21.84 ± 2.80a,e

90.01 ± 21.24a 

43.85 ± 5.06b

 23.55 ± 6.45a
















UDP
GDP
NADP+
ADP-ribose
CTP





Control
26.06 ± 7.32
 61.78 ± 17.09
27.52 ± 2.58
48.88 ± 5.61
38.90 ± 4.64


TBI 2 days
55.47 ± 6.70
149.02 ± 19.09
16.36 ± 4.41
133.31 ± 30.02
21.57 ± 3.19


TBI 5 days
43.71 ± 8.81
113.11 ± 28.34
12.50 ± 2.97
221.80 ± 36.72
18.79 ± 3.69


Acute phase 1
61.83 ± 10.23a,g
 158.72 ± 24.57a
 17.95 ± 3.28a
 137.87 ± 43.18a
18.98 ± 6.58a,g


Acute phase 2
40.38 ± 8.50a,i
126.70 ± 31.35a,j
21.27 ± 4.19b,e,j
141.96 ± 23.56a,e,j
32.63 ± 3.99e,i


Chronic phase

57.40 ± 5.88a,f


173.05 ± 28.68a,e


16.44 ± 2.66a,f

173.94 ± 8.45a 

25.23 ± 2.93a,f

















ADP
UTP
GTP
NADH
ATP





Control
233.19 ± 21.33
138.95 ± 28.89
567.33 ± 54.79
14.50 ± 2.75 
2441.66 ± 257.71


TBI 2 days
264.71 ± 26.31
107.77 ± 12.83
208.13 ± 28.36

8.54 ± 1.73

1350.25 ± 140.87


TBI 5 days
328.26 ± 31.30
 90.50 ± 18.69
191.81 ± 37.56

6.77 ± 1.58

1195.81 ± 137.82


Acute phase 1

279.34 ± 29.59b


123.46 ± 15.42d

255.29 ± 45.21a,g
 15.49 ± 2.05c,j

1464.25 ± 99.09a,h



Acute phase 2
264.07 ± 28.29b,e,j
 146.71 ± 32.68e
336.65 ± 35.18a,e,j
13.12 ± 4.19e
1632.23 ± 90.07a,e,j


Chronic phase
 315.53 ± 46.53a
 136.80 ± 33.25f

290.92 ± 34.68a,f

11.78 ± 3.32e
 1381.03 ± 212.64a
















NADPH
malonyl-CoA
CoA-SH
acetyl-CoA
NAA





Control
7.95 ± 1.38
15.83 ± 1.31
28.91 ± 3.19
38.97 ± 5.79
9141.22 ± 366.64


TBI 2 days
8.14 ± 1.69
10.46 ± 2.56
19.64 ± 2.37
21.76 ± 4.49
5570.00 ± 912.08


TBI 5 days
9.24 ± 2.07
11.89 ± 1.96
21.77 ± 1.44
18.94 ± 3.75
4300.00 ± 480.84


Acute phase 1
6.22 ± 1.73
12.33 ± 1.82b
21.61 ± 3.42a,h
21.56 ± 6.22a,g,i
 6147.91 ± 989.12a


Acute phase 2
7.05 ± 2.21
11.29 ± 2.27b
 30.57 ± 6.02f
 36.86 ± 4.11e

7262.84 ± 749.73a,e



Chronic phase
 7.34 ± 2.65f
10.00 ± 1.95b
 27.58 ± 6.24f
 35.68 ± 6.55e

6375.36 ± 974.12a,e







ap < 0.01 (comparison with control),




bp < 0.05 (comparison with control),




cp < 0.01 (comparison with TBI 2 days),




dp < 0.05 (comparison with TBI 2 days),




ep < 0.01 (comparison with TBI 5 days),




fp < 0.05 (comparison with TBI 5 days),




gp < 0.01 (comparison with Acute phase 2),




hp < 0.05 (comparison with Acute phase 2),




ip < 0.01 (comparison with Chronic phase),




jp < 0.05 (comparison with Chronic phase)



Table 4 lists the compounds in nmol/g (w.w.)






Remarkable changes of oxidative and reduced nicotinic coenzymes were also observed (FIG. 14).


Parameters related to oxidative stress were also measured and a significant reduction of oxidative stress was detected ater administration of LMW-DS. In particular, ascorbic acid, as the main water-soluble brain antioxidant, and GSH, as the major intracellular-SH donor, were measured. Results showed a significant improvement in their levels after administration of LMW-DS as shown in Table 4 and FIG. 15.


In addition, MDA, as end product of polyunsaturated fatty acids of membrane phospholipids and therefore taken as a marker of ROS-mediated lipid peroxidation, was also measured. MDA levels showed a significant reduction after administration of LMW-DS. The oxidative stress markers described above all indicated an improvement in the recovery of antioxidant status after treatment with LMW-DS (FIG. 15).


Indices of representative of NO-mediated nitrosative stress (nitrite and nitrate) were also analyzed. LMW-DS administration significantly decreased the nitrate concentrations in both the acute and chronic phases of sTBI (FIG. 16).


NAA is a brain specific metabolite and a valuable biochemical marker for monitoring deterioration or recovery after TBI. NAA is synthesized in neurons from aspartate and acetyl-CoA by aspartate N-acetytransferase. To ensure NAA turnover, the molecule must move between cellular compartments to reach oligodendrocytes where it is degraded into acetate and aspartate by aspartoacylase (ASPA). An upregulation of the catabolic enzyme ASPA and an NAA decrease in order to supply the availability of the substrates asparate and acetyl-CoA are an indication of the status of metabolic impairment. In this study NAA and its substrates were measured after sTBI and showed significant improvements in levels after LMW-DS administration (FIG. 17).


These effects on energy metabolites were particularly evident when animals received the LMW-DS administration early post-injury (30 mins). It is important to note that the overall beneficial effects of LMW-DS were observed either when the animals were sacrificed 2 days after sTBI or when sacrifice occurred 7 days post sTBI. In these groups of animals, the general amelioration of metabolism connected to AGCC and energy metabolites was more evident, suggesting along-lasting positive effect of the LMW-DS administration on brain metabolism.


Discussion


TBI is the leading cause of death and disability in the first four decades of life. The cost to the UK economy alone is estimated to be £8 billion per year, for comparison this is a greater cost to the economy than stroke. In the USA, the combined healthcare and socioeconomic costs of TBI are estimated to exceed $60 billion per year, not including military expenditure. In addition, the last few years have seen a massive surge of interest in sport concussion on both sides of the Atlantic.


Despite the obvious clinical need, there are currently no approved pharmacological treatments for TBI. Whilst the primary insult (contusion) associated with TBI may be amenable to surgical treatment, reduction in the subsequent secondary non-mechanical damage of surrounding brain tissue (penumbra) offers greater potential therapeutic opportunities.


Using a well-established rodent model of severe traumatic brain injury (sTBI), characterized by diffuse axonal damage of TBI, it has previously been shown that severely injured animals have long-lasting modifications of various metabolites connected to the cell energy state and mitochondrial functions (Vagnozzi et al., Changes of cerebral energy metabolism and lipid peroxidation in rats leading to mitochondrial dysfunction after diffuse brain injury. J Neurotrauma. 1999; 16: 903-913; Signoretti et al., N-Acetylaspartate reduction as a measure of injury severity and mitochondrial dysfunction following diffuse traumatic brain injury. J Neurotrauma. 2001; 18: 977-993; Tavazzi et al., Cerebral oxidative stress and depression of energy metabolism correlate with severity of diffuse brain injury in rats. Neurosurgery. 2005; 56: 582-589; Vagnozzi et al., Temporal window of metabolic brain vulnerability to concussions: mitochondrial-related impairment-part 1. Neurosurgery. 2007; 61: 379-388; Tavazzi et al., Temporal window of metabolic brain vulnerability to concussions: oxidative and nitrosative stresses-part II. Neurosurgery. 2007; 61: 390-395), as well as to amino acidic metabolism (Amorini et al., Severity of experimental traumatic brain injury modulates changes in concentrations of cerebral free amino acids. J Cell Mol Med. 2017: 21: 530-542). In the complex molecular mechanisms causing TBI-induced cerebral damages, it appears that metabolic modifications are early cellular signals that influence the changes in enzymatic activities and gene and protein expression indicative of the pathological tissue response (Di Pietro et al., Potentially neuroprotective gene modulation in an in vitro model of mild traumatic brain injury. Mol Cell Biochem. 2013; 375: 185-198; Di Pietro et al., The molecular mechanisms affecting N-acetylaspartate homeostasis following experimental graded traumatic brain injury. Mol Med. 2014; 20:147-157; Di Pietro et al., Neuroglobin expression and oxidant/antioxidant balance after graded traumatic brain injury in the rat Free Radic Biol Med. 2014; 69: 258-264; Amorini et al., Metabolic, enzymatic and gene involvement in cerebral glucose dysmetabolism after traumatic brain injury. Biochim Biophys Acta Mol Basis of Dis. 2016; 1862: 679-687). This implies that agents that act to positively regulate cellular metabolism in the compromised tissues might decrease the subsequent TBI-associated modifications in enzyme activity and gene and protein expression that contribute to adverse outcomes.


The data presented herein suggests that early administration of LMW-DS reduced levels of glutamate excitotoxicity and ameliorated adverse changes in metabolic homeostasis by protecting mitochondrial function, indicating a neuroprotective effect of the compound after severe TBI. Accordingly, LMW-DS has a potential to be used in the treatment or inhibition of TBI, including STBI.


Example 4

An analysis of changes in gene-expression induced by LMW-DS was investigated in cell lines.


Materials and Methods


Experimental Design


For each cell line, n=8×25 cm2 culture flasks were set up. Two flasks were harvested for each cell type on the day of treatment (24 hours after seeding). This represents the Day0 time point From the remaining flasks, three flasks were treated with Control Medium and three were treated with Culture Medium (CM) containing LMW-DS to give a final concentration of 0.01 mg/ml. Cells from the treated flasks were collected after 48 hours. Therefore the collected data represent (a) untreated cells (Day0 Controls and Day2 Controls) and (b) cells treated with LMW-DS for 48 hours (Day2 LMW-DS treated).


Coating of Tissue Culture Plates for all Cells


25 cm2 flasks were coated by adding 2 ml per flask of a solution of 50 μg/ml poly-d-lysine in Hank's balanced salt solution (HBSS) and incubating overnight at 37° C. in the dark. Flasks were washed with cell culture water and air-dried for 30 min in the dark. Flasks were coated by adding 1 ml per flask of a solution of 25 μg/ml laminin in phosphate-buffered saline (PBS) and incubating for 2 hour at 37° C. in the dark. The laminin flasks were washed with PBS three times before plating cells.


Human Umbilical Vein Endothelial Cells (HUVECs)


Medium 200+Large Vessel Endothelial Supplement (M200+LVES) additive (1:50) was prepared and pre-warmed to 37° C. Cells were thawed in a 37° C. water bath for no longer than 2 min and gently transferred into a 50 md tube containing 20 md Dulbecco's Modified Eagle Medium, Nutrient Mixture F-12 (DMEM-F12). The cell suspension was mixed by inverting the tube carefully twice. Cells were spun at 400×g for 10 minutes. Supernatant removed and cells were resuspended in 10 ml of culture media (M200+LVES additive).


Cells were counted with the Cellometer. 1,000,000 cells/flask were seeded in 25 cm2 flasks (n=8) and medium was topped up to a total of 5 m per flask. Cells were incubated at 37° C. with 5% CO2. Cells were allowed to settle for 24 hours before LMW-DS treatment.


Human Schwann Cells


Schwann cells growth medium was prepared by adding 10% of fetal bovine serum (FBS) to high-glucose DMEM and pre-warmed to 37° C. Cells were thawed in a 37° C. water bath for no longer than 2 min.


Cells from 12 vials were each gently transferred to a tube containing 10 md of high-glucose DMEM medium and centrifuged at 400 relative centrifugal field (RCF) for 10 min. Pellet was resuspended in culture medium. The cells from the 12 vials were mixed and distributed equally into the previously coated 25 cm2 flasks (n=8). Cells were incubated at 37° C. with 5% CO2. Cells were allowed to settle for 24 hours before LMW-DS treatment


Mouse Cortical Neurons (Lonza)


Medium was prepared by adding 10 ml B-27 Serum-Free Supplement and 2.5 ml GlutaMAX™-I Supplement to 500 md of Neurobasal medium. The medium was pre-warmed to 37° C. Cells from 12 vials were thawed sequentially in a 37° C. water bath for no longer than 2 min and gently transferred into a 15 md tube. 9 md of medium was gently added drop-wise to each. The cell suspension was mixed by inverting the tubes carefully twice.


The cells were centrifuged for 5 minutes at 200×g. Supernatant was removed (to the last 0.5 ml) and cells were gently resuspended by trituration. The cells from the 12 vials were mixed and distributed equally into the previously coated 25 cm2 flasks (n=8). Cells were incubated at 37° C. with 5% CO2 for 24 hours.


Mouse Motor Neurons (Anna)


The culture medium was prepared according to Table 5.









TABLE 5







Preparation of culture medium










Component
Stock concentration
Final concentration
For 50 ml












Advanced DMEM/F12
25
ml


AB2 ™ Basal Neural
25
ml


Medium


Knockout Serum
5
ml


Replacement












L-Glutamate
100 X
1
X
0.5
ml


Penicillin/Streptomycin
100 X
1
X
0.5
ml


B-mercaptoethanol
1M (diluted in PBS)
0.1
mM
5
μl


Glial cell-derived
100 μg/ml in
10
ng/ml
5
μl


neurotrophic
H2O


factor (GDNF)


Ciliary neurotrophic
100 μg/ml in
10
ng/ml
5
μl


factor
PBS with 0.1% BSA


(CNTF)









Medium (see Table 5) was pre-warmed to 37° C. Cells were thawed in a 37° C. water bath for no longer than 2 min. 9 ml of media was gently added drop-wise. The cell suspension was mixed by inverting the tube carefully twice. The cells were counted with a Cellometer. The cells were centrifuged for 5 minutes at 200× g. Supernatant was removed (to the last 0.5 ml) and cells were gently resuspended by trituration. The cells from the 8 vials were mixed and distributed equally into the previously coated 25 cm2 flasks (n=8). Cells were incubated at 37° C. with 5% CO2 for 24 hours before treatment.


Drug Treatment


LMW-DS was provided at a stock concentration of 20 mg/nd and was kept in a temperature monitored refrigerator at 4° C. A fresh 100× LMW-DS stock (1.0 mg/ml) was prepared in sterile DMEM-F12. The concentrated drug stock was sterile filtered and added to the respective culture media (19.6 m CM and 0.4 ml LMW-DS stock solution). The Control was made using 19.6 md CM and 0.4 md of DMEM-F12. LMW-DS and CM were added to the respective flasks (5 ml each) to reach the 0.01 mg/nd concentration of LMW-DS in each dish with a total of 10 ml CM each.


Culture Collection and Cell Lysis.


CM was aspirated into a clean and labelled 15 ml Falcon tube. The flasks (without culture medium) were placed into the −80° C. freezer for 30 minutes. The CM in the Falcon tubes were spun at 3000×g for 5 minutes.


Supernatant was removed and the small pellet was re-suspended in 2.5 ml Trizol:Water (4:1) solution at room temperature (RT, ˜22° C.).


The frozen flasks were removed one-by one from the freezer and the Trizol-Water from the appropriate tubes was moved to the flask. Flasks were left at RT for 5 minutes before the content was aspirated back into the 15 ml Falcon tube (after washing the bottom of the flask with the solution thoroughly). The flasks were inspected under the microscope to ensure full removal of cells. The collected lysates in the 15 ml Falcon tubes were placed into the −80° C. freezer.


RNA extraction


Falcon tubes containing the homogenates were removed from the freezer and stored for 5 minutes at RT to permit the complete dissociation of nucleoprotein complexes.


Two aliquots of 1 ml lysate was removed from each sample and 200 μl of chloroform was added to each (0.2 md of chloroform per 1 md of TRIzol Reagent used during the cell lysis step) and the tube was shaken vigorously. Samples were stored at RT for 2-3 minutes and subsequently centrifuged at 12,000×g for 15 minutes at 4° C.


The mixture separated into three layers: a lower red phenol-chloroform phase, an interphase and a colorless upper aqueous phase. The RNA remained in the top aqueous phase, DNA in the white middle (interphase) phase and protein in the pink bottom (organic) phase. The top % of the aqueous phase was transferred to a new dean Eppendorf tube.


The RNA was precipitated from the aqueous phase by adding an equal amount of 100% ethanol. The precipitated RNA was fixed onto a Spin Cartridge, washed twice and dried. The RNA was eluted in 50 μl warm RNase-Free Water. The amount and quality of the purified RNA was measured by Nanodrop. The RNA was stored at −80° C. before transfer to Source Bioscience for Array analysis.


Analysis Plan for Expression Data


The expression data were downloaded into separate files for each cell line. The ‘Background corrected’ expression is the data from the “gProcessedSignal” of the arrays that is the result of the background signal extracted from the actual signal of the relevant probe. This is the most often used variable in array analysis. The background corrected signal was log 2 transformed for all samples for statistical analysis. To reduce the false discovery rate in the samples, the signals that were below ‘expression level’ were removed. The ‘below expression’ level was set at 5 for the log 2 transformed expression values.


Statistical Analysis


Based on the expression pattern of the Control probes on each array it was decided to carry out Median Centering for all arrays before analysis to reduce the variability of the results. Data were grouped by cell type and each cell type was analyzed using the following algorithms:

    • Comparison of DO control to D2 control samples—expression changes seen in the cells in normal cultures
    • Comparison of DO control to D2 LMW-DS treated samples—expression changes seen in the cells in the LMD-DS treated cultures
    • Comparison of D2 control to D2 LMD-DS treated samples—differential expression induced by LMW-DS in the culture.


A preliminary analysis was carried out to screen out genes that were not differentially expressed between any combination of the three datasets. Simple, non-stringent ANOVA (p<0.05) was carried out to look for patterns of expression. Probes with no changes across the three datasets were eliminated. The remaining probe sets were analyzed for fold change and significance using Volcano plots. More than 20% change in the expression of a probe (FC ≥1.2 or FC ≤0.84) was regarded as significant in the first instance to allow the detection of expression patterns.


Quality Parameters


Seeding densities were calculated from the cell counts retrieved from the cell stocks for the Schwann cells. The HUVECS were seeded at their optimum density.


The additional quality control from the Array service provider indicated that the RNA was high quality (no degradation) and the amounts were within the parameters of the Low input RNA microarray from Agilent.


The analysis of the raw data indicated that, as expected, there were significant differences between arrays. These differences (reflected by differences in the same control samples included on all arrays), were, however, easily eliminated by normalization techniques. The chosen median centering of the data that eliminates the array-to-array variation did not affect the overall differences expected to be seen between the controls representing different concentrations of RNA.


Expression Analysis of Schwann Cells


As described in the foregoing, genes not expressed in the Schwann cells were removed prior to data analysis. The ‘below expression’ level was set at 5 for the log 2 transformed expression values. This left 15,842 unique probes to analyze in the Schwann cell cultures. In the next step of the analysis, three sets of data (comparison of DO control to D2 control samples; comparison of DO control to D2 LMW-DS treated samples; comparison of D2 control to D2 LMD-DS treated samples) were analyzed to establish the effect of the CM on the cells and the relative changes induced by LMW-DS.


585 genes were differentially expressed in Schwann cell cultures when comparing the DO control to the D2 control samples. The molecular functions influenced by these genes relate to cellular movement (1.14E-07-2.49E-03); cell morphology (5.56E-07-2.36E-03); cellular development (7.3E-06-2.48E-03); cellular growth and proliferation (7.3E-06-2.48E-03); cellular assembly and organization (1.23E-05-2.36E-03); cellular function and maintenance (1.23E-05-2.47E-03); cell death and survival (1.53E-05-2.51E-03); lipid metabolism (8.14E-05-1.6E-03); small molecule biochemistry (8.14E-05-1.6E-03); molecular transport (1.18E-04-2.29E-03); protein trafficking (1.62E-04-1.6E-03); carbohydrate metabolism (3.22E-04-1.78E-03); gene expression (3.98E-04-2.2E-03); cell signaling (4.39E-04-2.25E-03); cell-to-cell signaling and interaction (5.05E-04-2.48E-03); cellular compromise (7.69E-04-1.58E-03); cell Cycle (1.12E-03-1.8E-03); amino acid metabolism (1.6E-03-1.6E-03); and nucleic acid metabolism (1.6E-03-1.6E-03).


The values presented above are p-values representing the statistical significance of the association of these genes with the different pathways. The two p values represent the lower and upper limits of the statistical significance observed (p<0.05 is significant).


LMW-DS induced differential expression in Schwann cell culture of 1244 genes as assessed when comparing the DO control to the D2 LMW-DS treated samples. The molecular functions influenced by these genes relate to cell morphology (1.43E-08-8.39E-04); cellular movement (1.4E-07-9.6E-04); post-translational modification (3.93E-07-6.71E-05); protein synthesis (3.93E-07-1.08E-04); protein trafficking (3.93E-07-1.26E-06); cell death and survival (2.13E-06-8.65E-04); cellular assembly and organization (7.46E-06-8.24E-04); DNA replication, recombination, and repair (7.46E-06-7.46E-06); cellular function and maintenance (9.53E-06-6.46E-04); gene expression (1.27E-05-4.92E-04); cellular development (1.29E-05-9.06E-04); cellular growth and proliferation (1.29E-05-9.06E-04); cell-to-cell signaling and interaction (1.97E-05-8.81E-04); amino acid metabolism (4.22E-05-8.24E-04); small molecule biochemistry (4.22E-05-8.24E-04); lipid metabolism (4.81E-05-3.64E-04); molecular transport (3.64E-04-3.64E-04); and cell cycle (4.53E-04-4.86E-04).


LMW-DS induced differential expression in Schwann cell culture of 700 genes as assessed when comparing the D2 control to the D2 LMW-DS treated samples. The molecular functions influenced by these genes relate to cell morphology (1.49E-07-5.62E-03); cellular assembly and organization (1.49E-07-5.95E-03); cellular movement (7.24E-07-6.06E-03); cell death and survival (9.41E-06-5.95E-03); amino acid metabolism (2.56E-05-3.7E-03); post-translational modification (2.56E-05-1.05E-03); small molecule biochemistry (2.56E-05-3.7E-03); cell-to-cell signaling and interaction (5.05E-05-5.76E-03); gene expression (7.18E-05-4.94E-03); cell cycle (1.06E-04-5.95E-03); cellular development (1.06E-04-5.95E-03); cellular function and maintenance (1.96E-04-5.95E-03); cellular growth and proliferation (2.35E-04-5.95E-03); DNA replication, recombination and repair (2.75E-04-5.95E-03); cell signaling (5.92E-04-2.54E-03); cellular comprise (6.26E-04-6.26E-04); lipid metabolism (6.26E-04-1.85E-03); molecular transport (6.26E-04-5.95E-03); protein synthesis (1.05E-03-1.93E-03); cellular response to therapeutics (1.85E-03-1.85E-03); protein trafficking (2.66E-03-5.95E-03); and RNA post-transcriptional modification (4.32E-03-4.32E-03).


The mechanistic molecular network model simulates the effect of the differentially regulated molecules by LMW-DS enabling the functional consequences of these changes to be evaluated. The in silico model indicated that LMW-DS inhibits neuronal cell death; apoptosis; and synthesis of protein and activates angiogenesis; migration of cells; cell viability; cell survival; cell movement; proliferation of cells; differentiation of cells; cellular homeostasis; cell cycle progression; cell transformation; and expression of RNA.


Table 6 summarizes the results of the gene expression changes in the cultured Schwann cells.









TABLE 6







Overall pattern of gene expression changes in Schwann cells













abolished
enhanced
new effect
not different




nutrient
response to
induced by
from



effect
nutrients
LMW-DS
control
total
















no effect
21



21


significant
1
122
352
42
517


downregulation


significant
13
441
74
373
901


upregulation







total
35
563
426
415
1439









21 genes that have altered expression in the Control cultures in the two days did not show any changes at all in the LMW-DS treated cultures during the same two days. 1 gene that had increased expression in the control cultures was downregulated in the LMW-DS treated cultures during the same two days. 13 genes that were downregulated in the control cultures were upregulated in the LMW-DS treated cultures during the two days. 122 genes were significantly downregulated by growth factors in the culture medium and this downregulation was even stronger in the LMW-DS treated cultures. 441 genes were upregulated in the Control cultures and the addition of LMW-DS made this upregulation significantly stronger.


Expression analysis of HUVECs


As described in the foregoing, genes that are not expressed in the HUVECs have been removed before attempting any analysis. The ‘below expression’ level was set at 5 for the log 2 transformed expression values. This left 15,239 unique probes to analyze in HUVEC cultures. In the next step, the three sets of data were analyzed to establish the effect of the CM on gene expression in the cells and the differences induced by LMW-DS. A preliminary analysis was carried out to screen out genes that were not differentially expressed between any combination of the three datasets. Simple, non-stringent ANOVA (p<0.05) was carried out to look for patterns of expression. Genes with no changes across the three datasets were eliminated, leaving a total of 12,313 probes (10,368 genes) to analyze.


1551 genes were differentially expressed in HUVEC cultures when comparing the DO control to the D2 control samples. The molecular functions influenced by these genes relate to cellular assembly and organization (2.55E-15-1.29E-03); cellular function and maintenance (2.55E-15-1.29E-03); cell cycle (1.98E-11-1.32E-03); cell morphology (3.18E-10-1.29E-03); gene expression (1.05E-08-2.01E-04); cellular development (1.66E-07-1.37E-03); cellular growth and proliferation (1.66E-07-1.37E-03); DNA replication, recombination, and repair (2.04E-07-9.84E-04); cell death and survival (2.09E-07-1.3E-03); RNA post-transcriptional modification (4.86E-06-6.53E-04); cellular movement (9.9E-06-1.18E-03); post-translational modification (1.92E-05-1.34E-03); cell-to-cell signaling and interaction (2.19E-05-9.1E-04); protein synthesis (5.49E-05-1.14E-03); cellular compromise (8.16E-05-8.16E-05); molecular transport (6.27E-04-6.27E-04); protein trafficking (6.27E-04-6.27E-04); cell signaling (8.86E-04-8.86E-04); cellular response to therapeutics (9.84E-04-9.84E-04); and protein degradation (1.14E-03-1.14E-03)


LMW-DS induced differential expression in HUVEC culture of 1779 genes as assessed when comparing the DO control to the D2 LMW-DS treated samples. The molecular functions influenced by these genes relate to cellular assembly and organization (4.14E-17-9.7E-04); cellular function and maintenance (4.14E-17-8.05E-04); cell cycle (5.83E-14-9.85E-04); cell morphology (1.69E-10-7.48E-04); gene expression (7.99E-09-8.62E-04); cell death and survival (2E-08-8.4E-04); cellular development (1.28E-07-8.88E-04); cellular growth and proliferation (1.28E-07-8.88E-04); DNA replication, recombination, and repair (3.07E-07-9.7E-04); RNA post-transcriptional modification (1.13E-06-6.31E-04); cellular movement (1.42E-06-8.34E-04); post-translational modification (3.4E-05-9.17E-04); cell-to-cell signaling and interaction (6.97E-05-9.56E-04); molecular transport (7.43E-05-9.7E-04); protein trafficking (7.43E-05-7.43E-05); RNA trafficking (1.57E-04-5.72E-04); protein synthesis (1.92E-04-9.02E-04); cellular compromise (2.47E-04-6.28E-04); and cell signaling (4.64E-04-9.02E-04).


LMW-DS induced differential expression in HUVEC culture of 76 genes as assessed when comparing the D2 control to the D2 LMW-DS treated samples. The molecular functions influenced by these genes relate to DNA replication, recombination, and repair (9.62E-05-2.57E-02); cell cycle (1.22E-04-2.4E-02); cellular development (1.59E-04-2.67E-02); cell morphology (4.64E-04-2.42E-02); cellular function and maintenance (4.64E-04-2.57E-02); lipid metabolism (9.49E-04-1.07E-02); molecular transport (9.49E-04-1.61E-02); small molecule biochemistry (9.49E-04-1.87E-02); cellular compromise (1.6E-03-2.62E-02); cell death and survival (2.06E-03-2.67E-02); amino acid metabolism (2.7E-03-2.7E-03); carbohydrate metabolism (2.7E-03-1.07E-02); cell-to-cell signaling and interaction (2.7E-03-2.4E-02); cellular assembly and organization (2.7E-03-2.57E-02); cellular growth and proliferation (2.7E-03-2.4E-02); cellular movement (2.7E-03-2.4E-02); energy production (2.7E-03-2.7E-03); nucleic acid metabolism (2.7E-03-1.07E-02); post-translational modification (2.7E-03-1.61E-02); gene expression (5.39E-03-2.36E-02); RNA post-transcriptional modification (5.39E-03-2.4E-02); drug metabolism (8.07E-03-1.61E-02); vitamin and mineral metabolism (8.07E-03-8.07E-03); protein synthesis (1.07E-02-1.07E-02); RNA trafficking (1.07E-02-1.07E-02); cellular response to therapeutics (1.24E-02-1.24E-02); and free radical scavenging (1.43E-02-1.43E-02).


Although the overall difference between Control and LMW-DS-treated cultures after 2 days of treatment at first hand does not appear to be large, the effects of LMW-DS on gene expression changes were significant, in particular when considering the modulation of growth factor induced gene expression by LMW-DS.


Using the mechanistic molecular network model it is possible to simulate the effect of the genes differentially regulated by LMW-DS to look for the functional consequences of these changes. The in silico model indicated that LMW-DS inhibits neuronal cell death; apoptosis; and synthesis of protein and activates angiogenesis; migration of cells; cell viability; cell survival; cell movement; proliferation of cells; differentiation of cells; cellular homeostasis; cell cycle progression; cell transformation; and expression of RNA.


The HUVEC control cultures comprise growth factors. In the treated cultures, LMW-DS was added to the culture medium that already contained growth factors.


Table 7 summarizes the results of the gene expression changes in the cultured HUVECs. 67 genes that have altered expression in the Control cultures in the two days (under the effect of the growth factors) did not show any changes at all in the LMW-DS treated cultures during the same two days. 4 genes that had increased expression in the control cultures with the growth factors were downregulated in the LMW-DS treated cultures during the same two days. 11 genes that were downregulated by the growth factors in the control cultures were upregulated in the LMW-DS treated cultures during the two days. 120 genes were significantly downregulated by growth factors and this downregulation was even stronger in the LMW-DS treated cultures. 229 genes were upregulated in the Control cultures and the addition of LMW-DS made this upregulation significantly stronger.









TABLE 7







Overall pattern of gene expression changes in HUVECs












abolished
enhanced
not different




nutrient
response to
from



effect
nutrients
control
total















no effect
67


67


significant
4
120
167
291


downregulation


significant
11
229
1326
1566


upregulation






total
82
349
1493
1924









The effect of LMW-DS on several molecular pathways that are important for different disease conditions and therapeutic applications were analyzed. For the analysis, the effects of adding LMW-DS on gene expression was compared to that seen in cells in CM and the functional effects were predicted based on the observed changes in the expression patterns.


Expression Analysis of Motor Neurons


As described in the foregoing, genes that are not expressed in the motor neurons have been removed before attempting any analysis. The ‘below expression’ level was set at 5 for the log 2 transformed expression values. This left 12,240 unique probes where the expression threshold was met by at least three samples in the series. In the next step, the three sets of data were analyzed to establish the effect of the CM on the cells and the differences induced by the LMW-DS.


The changes in gene expression under normal culture conditions mimic the normal developmental processes of the motor neurons, when from a dissociated set of cells they develop a motor neuron phenotype. The growth factors in the normal culture medium are those necessary for these cells to differentiate. The stress factor present in these cultures is the oxidative stress (normal for tissue culture conditions).


485 genes were differentially expressed in motor neuron cultures when comparing the DO control to the D2 control samples. The molecular functions influenced by these genes relate to cell death and survival (1.99E-17-1.98E-04); cellular movement (1.14E-16-1.91E-04); cellular assembly and organization (1.22E-16-1.93E-04); cellular function and maintenance (1.22E-16-1.95E-04); cell morphology (6.46E-16-1.74E-04); cell-to-cell signaling and interaction (3.16E-12-1.95E-04); cellular development (1.59E-10-1.93E-04); cellular growth and proliferation (1.59E-10-1.9E-04); molecular transport (4.27E-10-1.89E-04); protein synthesis (9.85E-09-5.03E-05); lipid metabolism (1.08E-08-1.61E-04); small molecule biochemistry (1.08E-08-1.89E-04); gene expression (8.45E-08-3.8E-05); cell cycle (4.55E-07-1.09E-04); free radical scavenging (7.12E-07-1.65E-04); cell signaling (1.23E-05-1.89E-04); vitamin and mineral metabolism (1.23E-05-1.89E-04); protein degradation (3.07E-05-1.31E-04); carbohydrate metabolism (3.32E-05-1.61E-04); drug metabolism (4.16E-05-4.16E-05); post-translational modification (7.1E-05-1.31E-04); and protein folding (7.1E-05-7.1E-05).


LMW-DS induced differential expression in motor neurons of 315 genes as assessed when comparing the DO control to the D2 LMW-DS treated samples. The molecular functions influenced by these genes relate to cell death and survival (6.54E-08-9.06E-03), cellular movement (8.21E-08-5.42E-03); cellular assembly and organization (8.36E-08-9.01E-03); cellular function and maintenance (8.36E-08-9.01E-03); cell morphology (2.9E-06-8.75E-03); cellular development (1.04E-05-9.01E-03); cellular growth and proliferation (1.04E-05-7.83E-03); DNA replication, recombination, and repair (2.79E-05-8.01E-03); cell-to-cell signaling and interaction (8.18E-05-7.11E-03); post-translational modification (1.32E-04-7.56E-03); protein degradation (1.32E-04-4.35E-03); protein synthesis (1.32E-04-5.09E-03); gene expression (1.9E-04-9.01E-03); cellular compromise (3.58E-04-9.01E-03); cell cycle (6.08E-04-9.01E-03); free radical scavenging (7.41E-04-7.31E-03); amino acid metabolism (7.67E-04-6.61E-03); small molecule biochemistry (7.67E-04-9.01E-03); vitamin and mineral metabolism (7.67E-04-1.13E-03); lipid metabolism (1.05E-03-9.01E-03); molecular transport (1.05E-03-9.01E-03); cell signaling (1.13E-03-5.09E-03); and carbohydrate metabolism (4.71E-03-4.71E-03).


LMW-DS induced differential expression in motor neurons of 425 genes as assessed when comparing the DO control to the D2 LMW-DS treated samples. The molecular functions influenced by these genes relate to cell death and survival (2.87E-08-6.27E-03); cellular movement (4.73E-07-6.47E-03); cell morphology (4.95E-07-7.47E-03); cellular development (1.02E-06-7.13E-03); cellular growth and proliferation (1.02E-06-7.48E-03); cellular assembly and organization (7.03E-06-7.47E-03); cellular function and maintenance (7.03E-06-7.47E-03); gene expression (1.95E-05-6.18E-03); cell cycle (2.88E-05-7.48E-03); DNA replication, recombination, and repair (3.39E-05-5.16E-03); amino acid metabolism (7.75E-05-4.68E-03); small molecule biochemistry (7.75E-05-4.68E-03); cellular compromise (8.23E-05-4.61E-03); cell-to-cell signaling and interaction (3.27E-04-7.48E-03); vitamin and mineral metabolism (3.27E-04-3.27E-04); protein synthesis (8.94E-04-5.29E-03); post-translational modification (9.67E-04-9.67E-04); molecular transport (9.7E-04-4.68E-03); protein trafficking (9.7E-04-9.7E-04); carbohydrate metabolism (1.44E-03-1.92E-03); cellular response to therapeutics (1.92E-03-1.92E-03); and lipid metabolism (4.68E-03-4.68E-03).









TABLE 8







Overall pattern of gene expression changes in motor neurons













abolished
enhanced
new effect
not different




nutrient
response to
induced by
from



effect
nutrients
LMW-DS
control
total
















no effect
177

108

285


significant
47
36
375
104
562


downregulation


significant
40
103
71
75
289


upregulation







total
264
139
554
179
1136









Expression Analysis of Cortical Neurons


As described in the foregoing, genes that are not expressed in the motor neurons have been removed before attempting any analysis. The ‘below expression’ level was set at 5 for the log 2 transformed expression values. This left 10,653 unique probes where the expression threshold was met by at least three samples in the series. In the next step, the three sets of data were analyzed to establish the effect of the CM on the cells and the differences induced by the LMW-DS.


The changes in gene expression under normal culture conditions mimic the normal developmental processes of the cortical neurons, when from a dissociated set of cells they develop a cortical neuron phenotype. The growth factors in the normal culture medium are those necessary forth ese cells to differentiate. The stress factor present in these cultures is the oxidative stress (normal for tissue culture conditions).


1101 genes were differentially expressed in motor neuron cultures when comparing the DO control to the 02 control samples. The molecular functions influenced by these genes relate to cellular assembly and organization (3.57E-25-6.65E-04); cellular function and maintenance (3.57E-25-6.65E-04); cell morphology (4.28E-22-6.36E-04); cellular development (4.28E-22-6.53E-04); cellular growth and proliferation (4.28E-22-6.6E-04); cell-to-cell signaling and interaction (2.16E-13-6.65E-04); molecular transport (5.18E-12-4.95E-04); cellular movement (1.86E-11-6.65E-04); cell death and survival (3.37E-11-6.41E-04); gene expression (1.27E-08-8.96E-05); protein synthesis (3.84E-07-8.69E-05); small molecule biochemistry (6.65E-07-5.18E-04); cellular compromise (7.12E-06-4.54E-04); protein degradation (1.62E-05-1.62E-05); amino acid metabolism (2.11E-05-4.25E-04); protein trafficking (3.4E-05-3.4E-05); cell signaling (8.69E-05-3E-04); post-translational modification (8.69E-05-2.15E-04); protein folding (2.15E-04-2.15E-04); cell cycle (2.69E-04-3.07E-04); DNA replication, recombination, and repair (2.69E-04-4.77E-04); nucleic acid metabolism (2.69E-04-2.69E-04); lipid metabolism (3.12E-04-5.18E-04); and carbohydrate metabolism (5.18E-04-5.18E-04).


LMW-DS induced differential expression in motor neurons of 609 genes as assessed when comparing the DO control to the D2 LMW-DS treated samples. The molecular functions influenced by these genes relate to cellular assembly and organization (3.91E-15-1.83E-03); cellular function and maintenance (3.91E-15-1.83E-03); cell morphology (2.53E-13-1.43E-03); cellular development (2.53E-13-1.81E-03); cellular growth and proliferation (2.53E-13-1.83E-03); cellular movement (4.95E-09-1.2E-03); cell-to-cell signaling and interaction (5.96E-09-1.47E-03); cell death and survival (2.25E-08-1.77E-03); molecular transport (7.08E-08-1.79E-03); DNA replication, recombination, and repair (3.03E-06-1.71E-03); cellular compromise (9.23E-06-7.65E-04); amino acid metabolism (1.75E-05-1.64E-03); cell cycle (1.75E-05-1.77E-03); small molecule biochemistry (1.75E-05-1.79E-03); protein synthesis (2.77E-05-1.5E-03); protein trafficking (2.77E-05-1.9E-04); cell signaling (7.65E-05-1.73E-03); post-translational modification (3.01E-04-1.4E-03); gene expression (3.65E-04-1.15E-03); drug metabolism (6.49E-04-6.49E-04); carbohydrate metabolism (6.95E-04-7.69E-04); vitamin and mineral metabolism (1.09E-03-1.09E-03); and nucleic acid metabolism (1.44E-03-1.73E-03).


LMW-DS induced differential expression in motor neurons of 247 genes as assessed when comparing the DO control to the D2 LMW-DS treated samples. The molecular functions influenced by these genes relate to cell morphology (6.01E-08-1.01E-02); cellular development (7.46E-08-1.01E-02); cellular growth and proliferation (7.46E-08-1.01E-02); cell death and survival (4.23E-07-1.01E-02); cellular movement (2.69E-06-9.91E-03); cellular assembly and organization (1.57E-05-1.01E-02); cellular function and maintenance (1.57E-05-1.01E-02); cell cycle (1.01E-04-1.01E-02); cell-to-cell signaling and interaction (1.01E-04-1.01E-02); lipid metabolism (1.56E-04-1.01E-02); small molecule biochemistry (1.56E-04-1.01E-02); gene expression (2.28E-04-3.38E-03); RNA damage and repair (2.28E-04-2.28E-04); RNA post-transcriptional modification (2.28E-04-2.28E-04); molecular transport (4.18E-04-8.32E-03); cellular compromise (4.47E-04-2.2E-03); protein synthesis (2.66E-03-7.29E-03); protein trafficking (4.11E-03-8.32E-03); protein degradation (5.64E-03-7.29E-03); and DNA replication, recombination, and repair (7.31E-03-1.01E-02).









TABLE 9







Overall pattern of gene expression changes in cortical neurons













abolished
enhanced
new effect
not different




nutrient
response to
induced by
from



effect
nutrients
LMW-DS
control
total
















no effect
572

19

591


significant
7
158
22
95
282


downregulation


significant
33
43
7
221
304


upregulation







total
612
612
48
316
1177









The Effect of LMW-DS on Oxidative Stress Pathways in Mitochondria


The oxidative stress pathways occurring in mitochondria are important not just for cancer but also for ageing and age-related degenerative diseases. Normal growth conditions trigger a certain amount of oxidative stress in cells, which contributes to both the in vivo and the in vitro ageing process.


In Schwann cells cultured in normal conditions Complex I (NADH dehydrogenase), marked as A in FIG. 18, was inhibited while Complex IV (cytochrome c oxidase), marked as B in FIG. 18, was activated. When LMW-DS was added to the cultures Complex III (cytochrome bc1), marked as C in FIG. 18), was inhibited. The inhibition of Complex III inhibits the oxidative stress phenomena that are involved in the pathogenesis of cancer and neurological diseases.


Complex III, sometimes referred to as coenzyme Q: cytochrome c—oxidoreductase or the cytochrome bc1 complex, is the third complex in the electron transport chain (EC 1.10.2.2), playing a critical role in biochemical generation of ATP (oxidative phosphorylation). Complex III is a multi-subunit transmembrane protein encoded by both the mitochondrial (cytochrome b) and the nuclear genomes (all other subunits). Complex III is present in the mitochondria of all animals and all aerobic eukaryotes and the inner membranes of most eubacteria. Mutations in Complex III cause exercise intolerance as well as multisystem disorders. The bc1 complex contains 11 subunits, 3 respiratory subunits (cytochrome B, cytochrome C1, Rieske protein), 2 core proteins and 6 low-molecular weight proteins.


In HUVECs no significant modulation of the effects of oxidative stress on mitochondria was detected following treatment with LMW-DS.


In normal culture conditions the motor neurons appear to suffer from significant oxidative stress. This leads to the activation of some apoptotic mechanisms, marked as F in FIG. 18 and involving activation of cytochrome C, AIF, Caspase 3, 8 and 9. In addition, the motor neurons are characterized by production of amyloid-β in the cells, marked as E in FIG. 18, further exacerbating oxidative stress and mitochondrial fragmentation, via FIAS1, as well as the oxidation of fatty acids, marked as G in FIG. 18. Furthermore, Complex V, marked as D in FIG. 18, was activated.


The addition of LMW-DS to the cultures ameliorated these negative effects by preventing and inhibiting apoptosis by shutting down the reaction path marked as F in FIG. 18, preventing amyloid-β production and its negative effects on mitochondrial fragmentation and dysfunction, marked as E in FIG. 18, and subsequent damage and by inhibiting fatty acid oxidation, marked as G in FIG. 18. LMD-DS also inhibited the reaction path marked as H in FIG. 18 involving TRAK1 and PINK1, thereby contributing to improved mitochondrial function. LMW-DS further reduced the level of H2O2 indicated by I in FIG. 18. A further effect was the inhibition of HtrA2, marked as J in FIG. 18, contributing to inhibition of apoptosis.


In normal culture conditions the cortical neurons are exposed to significant oxidative stress leading to the production of amyloid-β and Lewy body formation, marked as K in FIG. 18 and involving activation of Synuclein α and increased levels of ROS; apoptosis, marked as F in FIG. 18; mitochondrial fragmentation, marked as E in FIG. 18; and reduction of mitochondrial function, marked as L in FIG. 18 and involving C161. The addition of LMW-DS to the cultures was able to prevent and reverse most of these deleterious effects, such as the accumulation of the amyloid-β and Lewy body pathology (marked as E, K in FIG. 18), mitochondrial dysfunction (marked as L in FIG. 18). Some apoptosis (marked as F in FIG. 18) inducing mechanisms remain active probably due to strong activation in the cultures.


The Effect of LMW-DS on Glutamate Excitotoxicity


Glutamate is an essential excitatory amino acid involved in long-term potentiation (LTP), i.e., learning and memory functions. However, too much glutamate is also associated with excitotoxicity, leading to neuronal death. This later phenomenon is hypothesized to be involved in the neuronal death triggered in chronic neurodegenerative conditions but also in TBI. The genes involved in glutamate signaling are not expressed in HUVECs but are present in the Schwann and neuron cell lines used in this study, see FIG. 19.


Glutamate production was inhibited by the baseline conditions in the motor neuron cultures. The inhibition was not affected by LMW-DS. Glutamate production was elevated in the cortical neurons at baseline. The addition of LMW-DS dis not alter the glutamate production in these cells.


The addition of LMW-DS to the CM of the Schwan cells induced the expression of a protein complex (CALM, Goy, GRM7, PICK1), marked as A in FIG. 19. More importantly, LMW-DS increased activity and/or levels of glutamate transporters in the Schwann cells, and in particular of SLC1A2/3, thereby leading to a scavenging of glutamate produced by and released from the presynaptic neuron. Accordingly, LMW-DS induced the Schwann cells to remove the toxic glutamate from the synaptic cleft, thereby preventing it from exerting its excitotoxicity.


SLC1A3, solute carrier family 1 (glial high-affinity glutamate transporter), member 3, is a protein that, in humans, is encoded by the SLC1A3 gene. SLC1A3 is also often called the GLutamate ASpartate Transporter (GLAST) or Excitatory Amino Acid Transporter 1 (EAAT1). SLC1A3 is predominantly expressed in the plasma membrane, allowing it to remove glutamate from the extracellular space. It has also been localized in the inner mitochondrial membrane as part of the malate-aspartate shuttle. SLC1A3 functions in vivo as a homotrimer. SLC1A3 mediates the transport of glutamic and aspartic acid with the cotransport of three Na+ and one H+ cations and counter transport of one K+ cation. This co-transport coupling (or symport) allows the transport of glutamate into cells against a concentration gradient SLC1A3 is expressed throughout the CNS, and is highly expressed in astrocytes and Bergmann glia in the cerebellum. In the retina, SLC1A3 is expressed in Muller cells. SLC1A3 is also expressed in a number of other tissues including cardiac myocytes.


SLC1A2, solute carrier family 1 member 2, also known as excitatory amino acid transporter 2 (EAAT2) and glutamate transporter 1 (GLT-1), is a protein that in humans is encoded by the SLC1A2 gene. SLC1A2 is a member of a family of the solute carrier family of proteins. The membrane-bound protein is the principal transporter that clears the excitatory neurotransmitter glutamate from the extracellular space at synapses in the CNS. Glutamate clearance is necessary for proper synaptic activation and to prevent neuronal damage from excessive activation of glutamate receptors. SLC1A2 is responsible for over 90% of glutamate reuptake within the brain.


These findings indicate that LMW-DS may be useful for the prevention of glutamate excitotoxicity in conditions where its high extracellular levels is harmful, like after TBI.


The effect of LMW-DS on cell adhesion


One of the strong noticeable phenotypic effects of LMW-DS was the effect on cell adhesion, which was cell type specific. Cell adhesion was affected in neurons most strongly, then in Schwann cells, while HUVECs were not affected.


The analysis of gene expression indicated that this is due to the effect of LMW-DS on the expression of enzymes that regulate cell attachment including metallopeptidases, also referred to as matrix metalloproteinases (MMPs), see Table 10.


The aggregate effect of these molecules on the pathways regulating cell movement and attachment in Schwann cells (17 molecules, see Table 10) was such that cell adhesion would be inhibited while cell movement would be activated, while in HUVECs (1 molecule, ADAM11) adhesion would not be affected but angiogenesis would be activated.









TABLE 10







Molecules of the pathway regulating cell movement and attachment in Schwann cells










Symbol
Entrez gene name
Location
Type(s)





A2M
alpha-2-macroglobulin
Extracellular Space
transporter


ADAM10
ADAM metallopeptidase domain 10
Plasma Membrane
peptidase


ADAM23
ADAM metallopeptidase domain 23
Plasma Membrane
peptidase


ADAMTS9
ADAM metallopeptidase with
Extracellular Space
peptidase



thrombospondin type 1 motif 9


CDH11
cadherin 11
Plasma Membrane
other


CSF3
colony stimulating factor 3
Extracellular Space
cytokine


FAS
Fas cell surface death receptor
Plasma Membrane
transmembrane





receptor


HIF1A
hypoxia inducible factor 1 alpha subunit
Nucleus
transcription





regulator


IL6
interleukin 6
Extracellular Space
cytokine


IL15
interleukin 15
Extracellular Space
cytokine


LUM
lumican
Extracellular Space
other


MMP3
matrix metallopeptidase 3
Extracellular Space
peptidase


POSTN
periostin
Extracellular Space
other


RECK
reversion inducing cysteine rich protein with
Plasma Membrane
other



kazal motifs


SERPINA3
serpin family A member 3
Extracellular Space
other


TNC
tenascin C
Extracellular Space
other


VCAM1
vascular cell adhesion molecule 1
Plasma Membrane
transmembrane





receptor









The effect of differential gene expression induced by LMW-DS in neurons was analyzed. In the motor neurons the same metallopeptidase-dependent pathways could be responsible for the cell detachment seen in the Schwann cells, see Table 11.









TABLE 11







Molecules of the pathway regulating cell movement and attachment in motor neurons










Symbol
Entrez Gene Name
Location
Type(s)





ADAM11
ADAM metallopeptidase domain 11
Plasma Membrane
peptidase


ADAM19
ADAM metallopeptidase domain 19
Plasma Membrane
peptidase


ADAMTS7
ADAM metallopeptidase with
Extracellular Space
peptidase



thrombospondin type 1 motif 7


ADORA1
adenosine A1 receptor
Plasma Membrane
G-protein





coupled receptor


AGT
angiotensinogen
Extracellular Space
growth factor


APP
amyloid beta precursor protein
Plasma Membrane
other


CD44
CD44 molecule (Indian blood group)
Plasma Membrane
other


F2R
coagulation factor II thrombin receptor
Plasma Membrane
G-protein





coupled receptor


FAS
Fas cell surface death receptor
Plasma Membrane
transmembrane





receptor


FGF2
fibroblast growth factor 2
Extracellular Space
growth factor


FN1
fibronectin 1
Extracellular Space
enzyme


HBEGF
heparin binding EGF like growth factor
Extracellular Space
growth factor


ITGAM
integrin subunit alpha M
Plasma Membrane
transmembrane





receptor


JUN
Jun proto-oncogene, AP-1 transcription
Nucleus
Transcription



factor subunit

regulator


KDR
kinase insert domain receptor
Plasma Membrane
kinase


MMP15
matrix metallopeptidase 15
Extracellular Space
peptidase


MMP17
matrix metallopeptidase 17
Extracellular Space
peptidase


NREP
neuronal regeneration related protein
Cytoplasm
other


PLAT
plasminogen activator, tissue type
Extracellular Space
peptidase


PPIA
peptidylprolyl isomerase A
Cytoplasm
enzyme


PSEN1
presenilin 1
Plasma Membrane
peptidase


SDC1
syndecan 1
Plasma Membrane
enzyme


SERPINE2
serpin family E member 2
Extracellular Space
other


SNAP23
synaptosome associated protein 23
Plasma Membrane
transporter


STX12
syntaxin 12
Cytoplasm
other


TIMP3
TIMP metallopeptidase inhibitor 3
Extracellular Space
other


TIMP4
TIMP metallopeptidase inhibitor 4
Extracellular Space
other


TPSAB1/
tryptase alpha/beta 1
Extracellular Space
peptidase


TPSB2









However, none of the MMP-related genes were found to be differentially expressed in the cortical neurons.


This finding led to the re-assessment of al molecular interactions that affect cell attachment and adhesion related molecules and their effect on cellular attachment in the four different cultures. The full list of the 217 attachment-related molecules (197 genes and 20 drugs) are presented below:


ACE2, ACP1, ADAM15, ADGRB1, ADGRE2, ADIPOQ, AG490, AMBN, ANGPT1, ANTXR1, ARAP3, ARMS2, batimastat, BCAM, BCAP31, BCAR1, benzyloxycarbonyl-Leu-Leu-Leu-aldehyde, BMP2, BMP4, BTC, C1QBP, Ca2+, CA9, CADM1, CALR, calyculin A, caspase, CBL, CD209, CD36, CD44, CD46, CDH13, cerivastatin, chloramphenicol, chondroitin sulfate, CLEC4M, colchicine, Collagen type I, Collagen(s), COMP, CRK, CRP, CSF1, CSF2RB, CTGF, curcumin, CXCL12, cyclic AMP, DAB2, DAG1, DCN, DDR1, desferriexochelin 772SM, DOCK2, DSG2, DSG4, durapatite, Efna, EFNA1, EFNB, EFNB1, EGF, EGFR, EGR1, ELN, ENG, EP300, Eph Receptor, EPHA8, EPHB1, eptifibatide, ethylenediaminetetraacetic acid, ETS1, F1R, F3, FBLN5, FBN1, Fc receptor, FCN2, FERMT2, FES, FGF2, FGFR1, Fibrin, FN1, Focal adhesion kinase, FSH, FUT3, FUT6, FUT7, FYN, HACD1, heparin, Histone h3, Histone h4, HRAS, HSPG2, HTN1, hyaluronic acid, hydrocortisone, hydrogen peroxide, ICAM1, ICAM2, IGF1R, IgG, Igg3, IL1, IL1B, IL6, ILK, Integrin, Integrin alpha 4 beta 1, Integrina, IPO9, ITGA1, ITGA2, ITGA3, ITGA5, ITGA6, ITGB1, ITGB2, ITGB3, ITGB5, JAK2, Jnk, KP-SD-1, LAMC1, Laminin, Laminin1, levothyroxine, LGALS3, LIF, lipopolysaccharide, LOX, LRP1, LRPAP1, MAD1L1, mannose, MAPK7, MBL2, MERTK, metronidazole, MGAT5, MMP2, Mn2+, NCK, NEDD9, NRG1, okadaic acid, OLR1, P38 MAPK, PDGF BB, phosphaidylinositol, PKM, platelet activating factor, PLD1, PLG, PMP22, PODXL, POSTN, PRKCD, PTAFR, PTEN, PTGER2, PTK2, PTK2B, PTN, PTPN11, PTPRZ1, pyrrolidine dithiocarbamate, Rac, RALB, RANBP9, RHOA, RHOB, RPSA, SDC3, SELE, Selectin, SELL, SEMA3A, simvastatin, SIRPA, SPARC, sphingosine-1-phosphate, SP11, SPP1, SPRY2, SRC, STARD13, SWAP70, TEK, TFPI, TFPI2, TGFA, TGFB1, TGFBI, TGM2, THBS2, THY1, thyroid hormone, TIMP2, tirofiban, TLN1, TLN2, TNF, TP63, tretinoin, VAV1, VCAM1, VCAN, Vegf, VHL, VTN, VWF, and WRR-086.


Of the 197 genes regulating cell attachment none are differentially regulated by LMW-DS in HUVECs. In the Schwann cell cultures the 17 molecules differentially expressed lead to an overall slightly increased attachment. However, in the neurons the expression patterns lead to significant inhibition of cellular attachment in these cells.


The results explain the cell-type-specific effects of LMW-DS on cell adhesion. The findings are also relevant for an anti-scanning effect of LMW-DS (see Example 5) by reducing the signals of tissue fibrosis and adhesion of immune cells.


Upstream Regulator Pathways Affected by LMW-DS


In Schwann cells, the upstream regulator analysis revealed that LMW-DS modulated the effect of several growth factors by either increasing their activation or reducing their inhibition in the system as shown in Table 12.









TABLE 12







Upstream regulator comparison in Schwann cells













Predicted activation





Upstream
state relative
Activation
p-value of


Analysis
regulator
D2 control
z-score
overlap














D2 control
ANGPT2

1.062
0.003


D2 LMW-DS treatment

Activated
1.283
0.00373


D2 control
BMP2

0.674
0.0126


D2 LMW-DS treatment

Activated
1.395
0.00326


D2 control
BMP4

−0.272
0.00253


D2 LMW-DS treatment

Activated
0.927
0.000663


D2 control
BMP7

1.45
0.0346


D2 LMW-DS treatment

Activated
1.86
0.0225


D2 control
EGF

−0.015
0.0000927


D2 LMW-DS treatment

Activated
2.059
0.00735


D2 control
FGF2

1.366
0.0000142


D2 LMW-DS treatment

Activated
2.37
0.000395


D2 control
GDF2

1.556
0.000299


D2 LMW-DS treatment

Activated
2.561
0.000106


D2 control
HGF

−0.823
0.0114


D2 LMW-DS treatment

Activated
1.432
0.0161


D2 control
IGF1

0.365
0.00883


D2 LMW-DS treatment

Activated
1.332
0.0132


D2 control
NRG1

1.073
0.0473


D2 LMW-DS treatment

Activated
1.768
0.143


D2 control
NRTN


0.0118


D2 LMW-DS treatment

Activated
0.958
0.0149


D2 control
PGF

0
0.00185


D2 LMW-DS treatment

Activated
0.254
0.00871


D2 control
TGFβ1

−1.239
0.0000354


D2 LMW-DS treatment

Less inhibited
1.05
0.0000691


D2 control
VEGFA

1.909
0.00981


D2 LMW-DS treatment

Activated
3.4
0.00186


D2 control
WISP2

−1.067
0.0323


D2 LMW-DS treatment

Less inhibited
−0.896
0.0349









In HUVECs the number of growth factors whose effect was enhanced by LMW-DS was relatively smaller but still highly significant, see Table 13.









TABLE 13







Upstream regulator comparison in HUVECs













Predicted activation





Upstream
state relative
Activation
p-value of


Analysis
regulator
D2 control
z-score
overlap














D2 control
HGF

2.602
0.0000181


D2 LMW-DS

Activated relative
3.194
0.00000793


treatment

to control


D2 control
TGFβ1

0.682
0.00328


D2 LMW-DS

Activated relative
1.429
0.0338


treatment

to control


D2 control
VEGF

3.113
2.78E−08


D2 LMW-DS

Activated relative
3.432
6.33E−09


treatment

to control









In the motor neurons the upstream regulator analysis revealed that LMW-DS affected the effect of several growth factors either increasing their activation or reducing the inhibitions present in the system as shown in Table 14.









TABLE 14







Upstream regulator comparison in motor neurons












Predicted activation




Upstream
state relative
Activation


Analysis
regulator
D2 control
z-score













D0 to D2 control
AGT
Activated
2.292


D0 to LMW-DS treatment

Activated
2.631


D0 to D2 control
BMP4

0.798


D0 to LMW-DS treatment

More activated relative to control
0.972


D0 to D2 control
BMP6

−0.269


D0 to LMW-DS treatment

More activated relative to control
0.13


D0 to D2 control
BMP7

−0.862


D0 to LMW-DS treatment

More activated relative to control
1.092


D0 to D2 control
INHA

2.292


D0 to LMW-DS treatment

More activated relative to control
0.588









In cortical neurones in normal culture conditions most growth factor dependent pathways were significantly activated by the normal culture medium. In most instances this activation was not altered by LMW-DS. However, LMW-DS activated molecules that are the downstream effector of GDF7 indicating that the effect of this growth factor was enhanced by LMW-DS. As GDF7 is a powerful differentiation factor for neurons, and the additional activation of these growth factors, to the activation of BDNF and NT3, provide a good explanation for the enhanced differentiation of these cells in culture.


Discussion


The normal culture conditions for HUVECs mimics the environment following tissue hypoxia and reperfusion, containing a high nutrient content and growth factors also supplemented with heparin. The LMW-DS-treated cultures mimicked the effect of LMW-DS added after 24 hours of hypoxia and reperfusion. The real life scenario this relates to is that of angiogenesis following ischemic conditions, such as stroke.


In Schwann cells, the control cultures, with high nutrient content and glucose, recapitulate the activation of Schwann cells. The LMW-DS-treated cultures mimicked the effect of LMW-DS added after 24 hours of glial activation. The real life scenario that this recapitulates is glial activation following damage to the nervous system, such as following TBI.


The normal culture conditions for the neurons, both motor neurons and cortical neurons, with high nutrient content and growth factors mimic the environment during normal neuronal differentiation. The only negative effect in these cultures is the oxidative stress the cells suffer. The real life scenario this relates to is the degenerative conditions driven by oxidative stress in the presence of ample growth and differentiation factors. This corresponds to an early stage of a neurodegenerative disease or condition where oxidative stress plays a privotal role.


It is clear from the cell types that the molecular effects seen in Schwann cells and in HUVECs support a role for LMW-DS in protection against apoptosis; induction of angiogenesis; increased migration and movement of cells; increased cell viability and survival; and induction of cellular differentiation. The analysis of pivotal molecular pathways indicated that in neurons LMW-DS will reduce the effect of oxidative stress on mitochondria and will reduce neurodegeneration-related molecules, such as amyloid-β and Lewy bodies.


Accordingly, the results from the HUVEC cell model indicates that LMW-DS can protect against cell damage and promotes the development of new blood vessels in inured or diseased tissue, such as following stroke. The results from the Schwann cells indicate that LMW-DS can protect against cell loss in a diseased or damaged nervous system, such as due to TBI or a neurodegenerative disease.


The analysis of pivotal molecular pathways indicated that in Schwann cells LMW-DS reduced the effect of oxidative stress on mitochondria and increased the uptake of glutamate. The results in Schwann cells indicate that LMW-DS can protect against cell loss that occurs due to oxidative stress and glutamate excitotoxicity in the diseased or damaged nervous system, which is of relevance in, for instance, neurodegenerative diseases and TBI.


Of particular importance, LMW-DS increased the glutamate uptake in glia cells, as presented by Schwann cells. However, LMW-DS did not alter the production of glutamate by neurons. This is important since glutamate is needed for LTP, learning and memory. Thus, it is beneficial that LMW-DS did not alter production of glutamate by neurons since this glutamate is needed for the normal neurotransmission in the above mentioned processed. However, the increased levels of glutamate released from damaged or dying cells will be effectively taken up by surrounding glial cells due to the effects of LMW-DS. Thus, the activation of glutamate transporters in the glial cells caused by LMW-DS effectively removed the glutamate released by the damaged or dying neurons from the neural cleft. This in turn prevented the glutamate from exerting its excitotoxicity and thereby damaging further neurons. Accordingly, LMW-DS induced the uptake of the potentially harmful neurotoxic amounts of glutamate by the glial cells.


The results in the neurons therefore confirm the potential therapeutic usefulness of LMW-DS in neurodegenerative diseases, disorders and conditions by reducing secondary tissue damage due to oxidative stress, promoting repair, and reducing degeneration-related protein accumulation.


Taken together the results support the role of LMW-DS in protection against apoptosis in general and protection against neuronal cell death in particular, induction of angiogenesis, increased migration and movement of cells, increased cell viability and survival, induction of cellular differentiation, reduction of the effects of oxidative stress, reduction of glutamate excitotoxicity and reduction of the production of degeneration-related protein products, such as amyloid-β and Lewy bodies.


Cell adhesion was affected mainly in neurons and Schwann cells, where LMW-DS promoted cell detachment and movement. In HUVECs, cell adhesion was not affected. The effect on cell adhesion was mainly due to the expression of metalloproteinase-type enzymes, but the modulation of other adhesion molecules contributed to this effect as well.


This finding would also explain an anti-scarring effect of LMW-DS as seen in Example 5. The result suggests that the anti-scanning effect seen in Example 5 is mediated by LMW-DS activating degrading enzymes that help tissue remodeling and block the fibrogenic (scanning) signals in damaged tissues.


Scarring as a pathological reaction is driven by TGFβ. TGFβ induces a large interconnected network of 171 molecules causing adhesion of immune cells, activation of cells, cell movement, aggregation of cells, fibrosis and induction of TGFβ. Administration of LMW-DS totally abolished the TGFβ-induced effect in adhesion of immune cells, activation of cells, aggregation of cells, fibrosis and self-activation of TGFβ. These inactivating effects of LMW-DS on the molecular networks driven by TGFβ in Schwann cells are also seen even when TGFβ is activated, i.e., even in the presence of excessive TGFβ.


The effects revealed by the gene expression data support the phenotypic changes seen in Example 1 with regard to cell attachment as well as on differentiation and cell survival.


These studies therefore confirm the potential therapeutic usefulness of LMW-DS in post-ischemic states, by promoting revascularisation, reducing secondary tissue damage, and promoting repair, and for neurodegenerative diseases, disorders and conditions, where it could promote neuronal survival, differentiation and ultimately repair.


The analysis of the upstream regulators of the genes regulated by LMW-DS indicated that LMW-DS enhanced the effect of existing growth factors on cells, similar to the effect of heparin. A hypothesis is that LMW-DS binds to the growth factor molecules and facilitates binding to their receptors.


This hypothesis is also supported by the observation that the LMW-DS-induced differential gene expression in HUVECs, where the normal CM already contains heparin, was relatively smaller than in the Schwann cells where the normal CM did not contain heparin.


This mechanism of action also explains why LMW-DS is effective in the acute stage of TBI as seen in Example 3, when growth factors are present, but less effective at later stage when the initial repair attempt has already diminished.


Thus, it could be possible that at least some of the therapeutic effects of LMW-DS depends on existing repair mechanisms, which are amplified by it. In such a case, it is generally recommended that in any neurodegenerative condition LMW-DS is given in the early stage of the disease or condition when there is enough repair potential in the tissue.


By protecting cell metabolism, LMW-DS may be a useful protective treatment in many degenerative conditions where cells are progressively lost due to ischemic, oxidative or traumatic damage. Non-limiting, but illustrative, examples of such degenerative conditions include stroke, ALS, MS, dementia, TBI, SCI, retinal damage, AD, etc. LMW-DS may help those damaged tissues to recover some lost function as it enhances the residual intrinsic repair mechanisms.


The anti-scanning actions of LMW-DS indicate a potential use to treat fibroproliferative (scanning) conditions. These include, for instance, glaucoma, proliferative vitreoretinopathy, SAH, brain and spinal trauma injuries, invasive surgical procedures, surgical adhesions, rotator cuff injuries, burns, reconstructive surgery, ulcerative conditions (diabetes), etc. The experimental results support the role of LMW-DS in both preventing the development of fibroproliferative (scarring) conditions and resolving already established fibrotic scars in such fibroproliferative (scarring) conditions.


Example 5

The present experiment investigated the effect of LMW-DS on trabecular meshwork (TM) scarring on glaucomatous eyes


Materials and Methods


Study Design


Glaucoma was induced in adult male Sprague Dawley rats by repeat twice weekly intracameral (IC) injections of transforming growth factor-β (TGF-β) to increase intraocular pressure (IOP). Sustained increases in IOP (after two weeks) leads to death of retinal ganglion cells (30-40%). LMW-DS was administered at 15 mg/kg by daily subcutaneous injection from the start of the experiment to assess RGC protection compared to controls.


Group 1 n=12 rats; 24 eyes IOP+IC TGF-β (twice weekly for 28 days) between day 0 and day 28+daily subcutaneous administration of dextran sulfate from day 14 to day 28.


Group 2 n=8 rats; 16 eyes IOP+IC TGF-β (twice weekly for 28 days) between day 0 and day 28+daily subcutaneous administration of vehicle (saline) from day 14 to day 28.


Group 3 n=8 rats; 8 eyes IOP+intact (uninjured eye) and 8 eyes IOP+IC PBS daily for 28 days.


Measured End-Points

    • IOP twice weekly throughout study from day 0 to day 28;
    • Immunohistochemistry for counting retinal ganglion cell (RGC) that are immunoreactive for brain-specific homeobox/POU domain protein 3A (Brn3a) at day 28 (RGC survival);
    • Immunohistochemistry for laminin and fibronectin to evaluate scarring in the trabecular meshwork at day 28 in Groups 1 and 2;
    • Anterior segment and optical coherence tomography (OCT) imaging at day 28 to examine the angle and the thickness of the retinal nerve fiber layer comprising RGC axons; and
    • Body weight at day 28.


Animals and Surgery


Sixteen 8 to 10 week-old male 175-200 g Sprague Dawley rats (Charles River, Kent, UK), housed with free access to food and water under a 12 h dark/light cycle, were used for these experiments. Surgery was performed at the Biomedical Services Unit at the University of Birmingham in accordance with the Home Office guidelines set out in the 1986 Animal Act (UK) and the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research. All ocular surgical procedures and IOP measurements were completed under inhalational anesthesia using 2-5% isofluorane/95% O2 (National Vet Supplies, Stoke, UK) at a flow rate of 1.5 l/min. The post-operative welfare of all rats was monitored closely.


At day 0, one self-sealing incision was made through the cornea into the anterior chamber of both eyes using a 15° disposable blade enabling repeated, twice a week (bi-weekly), 3.5 μl IC injections (every Monday and Thursday) through the tunnel generated using self-made disposable sterile glass micropipettes (Harvard Apparatus, Kent, UK) for 28 days of active human recombinant TGF-β1 (5 ng/μl; Peprotech, London, UK).


Tissue Preparation for Immunohistochemistry (IHC)


Rats were killed by exposure to increasing concentrations of CO2 and transcardially perfused with 100 ml of phosphate-buffered saline (PBS) to wash out blood before further perfusion with 100 ml 4% paraformaldehyde (PFA) in PBS at pH 7.4. Dissected eyes for IHC were post-fixed by immersion in 4% PFA in PBS for 2 h at 4° C. before cryoprotection by immersion in increasing concentrations of sucrose solutions (PBS with 10%, 20% and 30% sucrose; all from Sigma, Poole, UK) for 24 h each at 4° C. then embedded in optimal cutting temperature embedding medium (Thermo Shandon, Runcorn, UK) in peel-away mold containers (Agar Scientific, Essex, UK). Eyes immersed in optimal cutting temperature embedding medium were rapidly frozen in crushed dry ice before storage at −80° C. and later sectioned in the parasagittal plane through the optic nerve head at −22° C. using a Bright cryostat microtome (Bright, Huntingdon, UK) at a thickness of 15 μm. Sections were mounted on positively charged glass slides (Superfrost plus; Fisher Scientific, Pittsburgh, USA), left for 2h to dry at 37° C. and stored at −20° C.


Immunohistochemistry


Frozen sections were left to thaw for 30 min before 3×5 min washing in PBS followed by a 20 min permeabilization with 0.1% Triton X-100 (Sigma). Sections were blocked for 30 min in 0.5% bovine serum albumin (BSA) and 0.3% Tween-20 (all from Sigma) in PBS and were incubated overnight in primary antibody (Table 11) before washing 3×5 min in PBS and incubating for 1 h at room temperature (RT; 20-25° C.) with secondary antibody (Table 11). Sections were then washed 3×5 min in PBS and mounted in Vectorshield mounting medium containing 4′,6-diamidino-2-phenylindole (DAPI) (Vector Laboratories). Control tissue sections incubated with secondary antibody alone were all negatively stained (not shown).









TABLE 11







Antibodies used in immunohistochemistry











Antigen
Dilution
Supplier
Catalogue No.
To identify





Laminin
1:200
Sigma
L9393
TM fibrosis


Fibronectin
1:200
Sigma
F3648
TM fibrosis


Goat Anti-mouse IgG
1:400
Molecular Probes
A-11032
Secondary IgG for ED1


Alexa Fluor 594



primary antibody


Goat Anti-rabbit IgG,
1:400
Molecular Probes
A-21206
Secondary IgG for rabbit


Alexa Fluor 488



primary antibodies









Quantification of Immunohistochemistry


After immunofluorescence staining, sections were viewed on a Zeiss Axioplan 2 epi-fluorescent microscope (Cad Zeiss Ltd) and images captured using the same exposure times for each antibody using a Zeiss AxioCam HRc. IHC was quantified according to the methods previously described (Hill et al., Decorin reduces intraocular pressure and retinal ganglion cell loss in rodents through fibrolysis of the scarred trabecular meshwork. Invest Ophthalmol Vis Sci. 2015, 56(6): 3743-3757). Briefly, the region of interest used for quantitation of TM fibrosis was defined by a quadrant of the same prescribed size for all eyes/treatments within the TM, and ECM deposition was quantified within this defined quadrant of the TM and the % immunofluorescent pixels above a standardized background threshold calculated using ImageJ software (National Institutes of Health, USA). For each antibody, the threshold level of brightness in the area of the TM was set using intact untreated eye sections to define the reference level for test group analysis of pixel intensity. Images were assigned randomized numbers to ensure blinding of treatment groups during quantification by the assessor.


For quantification of RGC in retinal sections, RPBMS+/DAPI+ RGC were counted in 15 μm thick parasagittal sections of retina from a 250 μm linear portion from the ganglion cell layer at either side of the optic nerve. Four retinal sections from each eye in the control and treatment groups were quantified. Images were assigned randomized numbers to ensure blinding of treatment groups during quantification by the assessor.


Statistics


All statistical analyses were performed using SPSS 20 (IBM, USA). Normal distribution tests were carried out to determine the most appropriate statistical analysis to compare treatments. Statistical significance was determined at p<0.05. TM fibrosis were tested for significant differences using Student t test or 1-way ANOVA for >2 Group comparisons ±SEM and are given in the text or displayed graphically as mean±SEM.


Results


LMW-DS treatment significantly attenuated TM scarring, as evidenced by significantly reduced (P<0.001 laminin; P<0.01 fibronectin) levels of immunoreactive laminin (FIG. 20) and fibronectin (FIG. 21) in the angle.


Discussions


LMW-DS treatment induced dissolution of established TM scar elements as levels of laminin and fibronectin were significantly lower in the angle of dextran sulfate treated rats. This anti-scarring effect of LMW-DS thereby indicates that the drug can be used to dissolve already established scars and thereby enable a tissue remodeling and wound healing in, for instance fibrotic conditions.


Example 6

Alzheimer's disease (AD) is devastating for patients and their families as well as being a major burden upon the health care system requiring substantial economic resources. Little therapeutic benefit can be offered patients with current strategies trying to give patients small and often transient improvements in their symptoms but many fail to benefit at all. Disease modifying drugs would transform treatment and likely penetrate the market deeply.


A pathological characteristic of AD is the presence of senile plaques that are composed of β-amyloid protein. The β-amyloid protein oligomerizes to negatively impact physiological neurotransmission as well as forming neurotoxic complexes. Part of the detrimental action of oligomeric i-amyloid protein is mediated via a protein-protein interaction with cellular prion protein (PrPc). Hence pharmacological strategies that inhibit this protein-protein interaction possess potential as disease modifying therapeutics.


The current study investigated the ability of LMW-DS to inhibit the protein-protein interaction between oligomeric β-amyloid and PrPc in an attempt to reveal therapeutic disease modifying potential to treat AD.


Material and Methods


Chemicals and Antibodies


Streptavidin HRP was from BioLegend; β-amyloid-(1-42)-biotin was from Innovagen; normal human cellular prion protein (PrPc) was from Merck; TMB was from eBioscience; 1,1,1,3,3,3-hexafluoro-2-propanol (HFIP) was from Sigma; anti-amyloid β antibody clone 6E10 was from BioLegend; anti-mouse HRP was from Cell Signaling; dextran sulphate sodium salt (DSSS) with an average M.W. >500,000 Da was from Sigma; dextran (M.W. 450,000-650,000 Da) was from Sigma; Maxisorp plates were from Sigma.


Preparation of Amyloid-β Oligomers


Oligomerization of β-amyloid was optimized based on previous methods (Stine et al., Methods Mol. Biol. 2011, 670:13-32; Aimi et al., J Neurochem. 2015, 134: 611-617). Briefly amyloid-β was dissolved in HFIP to a final concentration of 1.0 mM, subject to protected sonication and the HFIP carefully evaporated. Arising peptide films were stored at −20° C. in a sealed container. Prior to use, the peptide films were slowly dissolved in DMSO to a final concentration of 5.0 mM and subject to protected sonication for 10 minutes. To prepare oligomers, the DMSO solution was diluted in ice-cold DMEM medium to a final concentration of 100 μM and incubated 37° C. (β-amyloid-biotin) for 16 hours. To prepare monomers, the DMSO solution was diluted in ice-cold 18 MOhm water to a final concentration of 100 μM and used immediately.


Identification of Amyloid-β Monomers and Oligomers


Preparations optimized to generate monomers or oligomers of amyloid-β were solubilized in non-reducing gel sample buffer containing 5% SDS. Proteins were run on a 15% Bis-Tris gel using non-reducing MES running buffer. Gels were transferred to PVDF, blocked in 10% non-fat milk, before incubation with anti-amyloid-β antibody overnight at 4° C. and developed with anti-mouse HRP followed by ECL and exposed to film.


ELISA Method to Quantify the Protein-Protein Interaction Between Oligomeric Amyloid-β and PrPc


PrPc was diluted to 10× the coating amount (in 100 μl; final amount of 500 ng PrPc per well) in carbonate coating buffer and applied to Maxisorp plates. Plates were then sealed and left overnight at 4° C. Coated plates were carefully washed in PBS-Tween 20 and blocked with 2% BSA in PBS. Plates were washed and 100 μl of oligomeric amyloid-β-biotin peptide preparation (final concentration 200 nM) carefully mixed with test compound before adding to each well. Plates were incubated for 60 minutes at room temperature, washed and treated with streptavidin-HRP and after further washes the color was developed using TMB (reaction stopped with 2N H2S04). Absorbance was read at 450 nm within 30 minutes.


All conditions were performed in triplicate. Amyloid-β-biotin binding to PrPc was calculated as described by Aimi et al., J Neurochem. 2015, 134: 611-617.


Curve Fitting


Quantitative pharmacological analysis was performed by iterative curve fitting to a floating four parameter logistic equation.


Results


Production of Amyloid-β Monomers and Oligomers


Amyloid-β monomers and oligomers were prepared via an optimized protocol and resulted in successful oligomerization to a greater apparent efficiency (FIG. 22) compared to the results described by Aimi et al., J Neurochem. 2015, 134: 611-617.


Optimization of an ELISA Methodology for Quantitative Assessment of the Protein-Protein Interaction Between Oligomeric Amyloidβ and PrPc


The methodology reported by Aimi et al., J Neurochem. 2015, 134: 611-617 did not specify the amount of protein to be coated per well on the ELISA plate but implied 50 ng of PrPc per well. However when this amount was coated onto the plate, no specific binding signal was evident with oligomeric amyloid-β. The experiment was repeated using a more effective coating buffer but still no signal was evident. The lack of a signal and the known theoretical maximum binding capacity of Maxisorp plates (600-650 ng/cm2) indicated that the coating levels were sub-optimal. Therefore a range of PrPc coating levels was evaluated; at 250 ng PrPc per well, a relatively small signal with oligomeric amyloid-β was apparent, whilst a more robust and reproducible signal was evident at a coating level of 500 ng PrPc per well. This coating amount is in accord with the published literature (Beringe et al., Brain. 2003, 126: 2065-2073 used 500 ng/well; Nakato et al., J Immunol. 2012, 189-1540-1544 used 250 ng/well, and Souan et al., Eur J Immunol. 2001, 31: 2338-2346 used 1.0 μg/well of various prion protein constructs).


Ability of DSSS and LMW-DS to Compete with the Protein-Protein Interaction Between Oligomeric Amyloid-β and PrPc


DSSS competed for the protein-protein interaction between oligomeric amyloid-β and PrPc in a concentration dependent manner as did LMW-DS (FIG. 23; Table 12). Quantitative pharmacological analysis indicated that LMW-DS displayed comparable overall affinity to DSSS yet apparent differences in the side-by-side levels of competable binding and Hill coefficients suggest a differential interaction between the two compounds (FIG. 23; Table 12). In contrast to DSSS and LMW-DS, dextran failed to compete appreciably for the protein-protein interaction between oligomeric amyloid-β and PrPc.









TABLE 12







Quantitative pharmacological analysis of ability to compete


for protein-protein interaction between amyloid-β and PrPc













Competable

Hill



Compound
binding (%)
IC50 (μg/mL)
coefficient







DSSS
101 ± 2
0.62 ± 0.07
1.51 ± 0.06



LMW-DS
 85 ± 4
0.42 ± 0.16
1.00 ± 0.21










Discussion


High-molecular weight dextran sulfate (DSSS) has previously been reported to compete with the protein-protein interaction between oligomeric amyloid-β and PrPc with effective concentrations in the low μg/ml range (Aimi et al., J Neurochem. 2015, 134: 611-617). In the present study, optimization of the methodology resulted in the generation of an apparent greater proportion of oligomeric amyloid-β relative to the study of Aimi et al. The optimization of the protein-protein interaction ELISA resulted in a greater degree of specific protein-protein interaction; the greater dynamic range of competition facilitated quantitative pharmacological analysis of the interaction by competing compounds. The present study therefore represents an improvement over the study reported by Aimi et al.


DSSS and LMW-DS displayed comparable affinity to compete for the protein-protein interaction between oligomeric amyloid-β and PrPc, yielding IC50 values of 0.62±0.07 and 0.42±0.16 μg/mL, respectively. Hill analysis of the nature of the competition indicated that LMW-DS displayed shallower competition curves in comparison to the relatively high Hill coefficients associated with DSSS, which provides evidence for a differential pharmacological action between DSSS and LMW-DS.


LMW-DS thereby competes for the protein-protein interaction between oligomeric amyloid-β and PrPc and can thereby be used to prevent or at least inhibit this protein-protein interaction. This effect as seen with LMW-DS has potentials in diseases and disorders involving protein-protein interaction between oligomeric amyloid-β and PrPc, such as AD.


Example 7

The aim of this study was to evaluate the potential neuroprotective effects of LMW-DS on biochemical, molecular and histo-anatomical damages produced by the experimental model of closed-head diffuse severe TBI (sTBI) in the rat. In the present study, results were obtained through HPLC analyses of low molecular weight metabolites representative of energy metabolism, oxidative/nitrosative stress, antioxidants and free amino acids in cerebral tissue extracts of treated animals.


Materials and Methods


Induction of sTBI and Drug Administration Protocol


Male Wistar rats (n=160) of 300-350 g body weight were used in this study. They were fed with standard laboratory diet and water ad libitum in a controlled environment


As the accepted anesthetic mixture, animals received 35 mg/kg b.w. ketamine and 0.25 mg/kg body weight midazolam by intramuscular injection. Diffuse sTBI was induced according to the “weight drop” impact acceleration model set up by Marmarou et al. J. Neurosurg. 1994, 80: 291-300. This model causes diffuse axonal injury and it is able to reproduce the physical and mechanical characteristics of the diffuse TBI in humans.


Severe TBI was induced by dropping a 450 g weight from 2 meters height onto the rat head protected by a helmet (metal disk previously fixed on the skull using dental cement) in order to uniformly distribute the mechanical force to the brain. Rats were placed prone on a bed of specific polyurethane foam inserted in a special container; this foam dissipates the major part of the potential energy (deriving from the mechanical forces) and prevents any rebound of the animal after the impact that could produce spinal damages.


Rats suffering from skull fracture, seizures, nasal bleeding, or did not survive the impact, were excluded from the study. After 2 or 7 days from TBI induction, rats were anesthetized again and then immediately sacrificed. These time points are coincident with the worst biochemical derangement (2 days) or, in the case of a mildly injured brain, with a full metabolic recovery (7 days).


The drug treatment consisted in a subcutaneous injection of 0.5 ml of LMW-DS (Tikomed) and administered at 3 different concentrations (1, 5 and 15 mg/kg body weight), according to the schematic protocol described below.


Sham-operated animals underwent the same procedure of anesthesia but TBI and were used as the control group.


Experimental Design


Rats used in this study were divided into 4 groups in order to carry out a study on the efficacy of three different concentrations of LMW-DS at two different times post TBI. As subsequently specified, in each group there were animals subjected to a specific treatment for metabolic analyses and other animals intended to histo-morphological studies, according to the procedures described below.


Group-1


Controls (n=12) dedicated to the biochemical evaluation. Four additional animals were used for the histo-morphological studies. Total rats in this group: n=16


Group-2


Rats subjected to sTBI with no pharmacological treatment were divided into the following subgroups:

    • 1. 12 animals subjected to sTBI and sacrificed after 2 days post-TBI
    • 2. 12 animals subjected to sTBI and sacrificed after 7 days post-TBI


Four additional rats to each subgroup were used for the histo-morphological studies. Total rats in this group: n=32.


Group-3


Rats subjected to sTBI and receiving a single administration of LMW-DS after 30 minutes post-TBI, with sacrifice at 2 days post-TBI. Animals were divided in the following subgroups:

    • 1. 12 animals subjected to sTBI and treated with 1 mg/kg b.w. LMW-DS
    • 2. 12 animals subjected to sTBI and treated with 5 mg/kg b.w. LMW-DS
    • 3. 12 animals subjected to sTBI and treated with 15 mg/kg b.w. LMW-DS


Four additional rats to each subgroup were used for the histo-morphological studies. Total rats in this group: n=48.


Group-4


Rats subjected to sTBI and receiving a single administration of LMW-DS after 30 minutes post-TBI, with sacrifice at 7 days post-TBI. Animals were divided in the following subgroups:

    • 1. 12 animals subjected to sTBI and treated with 1 mg/kg b.w. LMW-DS
    • 2. 12 animals subjected to sTBI and treated with 5 mg/kg b.w. LMW-DS
    • 3. 12 animals subjected to sTBI and treated with 15 mg/kg b.w. LMW-DS


Four additional rats to each subgroup were used for the histo-morphological studies. Total rats in this group: n=48.


Group-5


Rats (n=12) subjected to sTBI and receiving repeated administrations of the maximal dose of LMW-DS (15 mg/kg b.w.) after 30 minutes, 3 days and 5 days post-TBI, with sacrifice at 7 days post-TBI. Four additional rats were used for the histo-morphological studies. Total rats in this group: n=16


Cerebra Tissue Processing for Biochemical and Gene Expression Analyses


To minimize metabolite loss, an in vivo craniectomy was performed in all animals during anesthesia. The rat skull was carefully removed, the brain was exposed, sharply cut along the sagittal fissure and the two hemispheres were separated. The hemispheres dedicated to biochemical analyses were freeze-clamped by aluminum tongues pre-cooled in liquid nitrogen and then immersed in liquid nitrogen. The freeze-clamping procedure was introduced to accelerate freezing of the tissue, thus minimizing potential metabolite loss.


The remaining hemispheres, dedicated to molecular biology analyses, were placed in 5-10 volumes of RNAlater® Solution (Invitrogen Life Technologies), a RNA stabilization solution that stabilize and protect RNA from degradation. Brain samples were stored at 4° C. overnight to allow the solution completely penetrate tissue.


Tissue homogenization for metabolite analyses was effected as described below. After the wet weight (w.w.) determination, the frozen hemispheres were placed into 7 ml of ice-cold, nitrogen-saturated, precipitating solution (1:10 w/v) composed by CH3CN+10 mM KH2PO4, pH 7.40, (3:1; v:v), and the homogenization was performed using an Ultra-Turrax homogenizer set at 24,000 rpm/min (Janke & Kunkel, Staufen, Germany). After centrifugation at 20,690×g, for 10 min at 4° C., the clear supernatants were saved, pellets were supplemented with an aliquot of 10 mM KH2PO4 and homogenized again as described above and saved overnight at −20° C. in order to obtain a complete recovery of aqueous phase from tissue. A second centrifugation was performed (20,690×g, for 10 min at 4° C.) and supernatants combined with those previously obtained were extracted by vigorous agitation with a double volume of HPLC-grade CHCl3 and centrifuged as above. The upper aqueous phases (containing water-soluble low-molecular weight compounds) were collected, subjected to chloroform washings for two more times (this procedure allowed the removal of all the organic solvent and of any lipid soluble compound from the buffered tissue extracts), adjusted in volumes with 10 mM KH2PO4, pH 7.40, to have ultimately aqueous 10% tissue homogenates and saved at −80° C. until assayed.


HPLC Analysis of Energy Metabolites, Antioxidants and Oxidative/Nitrosative Stress Biomarkers


Aliquots of each deproteinized tissue sample were filtered through a 0.45 μm HV Millipore filter and loaded (200 μl) onto a Hypersil C-18, 250×4.6 mm, 5 μm particle size column, provided with its own guard column (Thermo Fisher Scientific, Rodano, Milan, Italy) and connected to an HPLC apparatus consisting of a Surveyor System (Thermo Fisher Scientific, Rodano, Milan, Italy) with a highly sensitive diode array detector (equipped with a 5 cm light path flow cell) and set up between 200 and 300 nm wavelength. Data acquisition and analysis were performed by a PC using the ChromQuest® software package provided by the HPLC manufacturer.


Metabolites (listed below) related to tissue energy state, mitochondrial function antioxidants and representative of oxidative/nitrosative stress were separated, in a single chromatographic run, according to slight modifications of existing ion-pairing HPLC methods formerly (Lazzarino et al., Anal Biochem. 2003, 322: 51-59; Tavazzi et al., Clin Biochem. 2005, 38: 997-1008). Assignment and calculations of the compounds of interest in chromatographic runs of tissue extracts were carried out at the proper wavelengths (206, 234 and 260 nm) by comparing retention times, absorption spectra and areas of peaks with those of peaks of chromatographic runs of freshly-prepared ultra-pure standard mixtures with known concentrations.


List of compounds: Cytosine, Creatinine, Uracil, Beta-Pseudouridine, Cytidine, Hypoxanthine, Guanine, Xanthine, CDP-Choline, Ascorbic Acid, Uridine, Nitrite (NO2), reduced glutathione (GSH), Inosine, Uric Acid, Guanosine, CMP, Malondialdehyde (MDA), Nitrate (NO3), UMP, NAD+, ADO, IMP, GMP, UDP-glucose (UDP-Glc), UDP-galactose (UDP-Gal), UDP-N-acetyl-glucosamine (UDP-GlcNac), UDP-N-acetyl-galactosamine (UDP-GalNac), AMP, GDP-glucose, UDP, GDP, NADP+, ADP-Ribose, CTP, ADP, UTP, GTP, NADH, ATP, NADPH, Malonyl-CoA, Coenzyme A (CoA-SH), Acetyl-CoA, N-acetylaspartate (NAA).


HPLC Analysis of Free Amino Acids and Amino Group Containing Compounds


The simultaneous determination of primary free amino acids (FAA) and amino group containing compounds (AGCC) listed below) was performed using the precolumn derivatization of the sample with a mixture of OPA and MPA, as described in (Amorini et al., J Cell Mol Med. 2017, 21(3): 530-542; Amorino et al., Mol Cell Biochem. 2012, 359: 205-216). Briefly, the derivatization mixture composed by 25 mmol/l OPA, 1% MPA, 237.5 mmol/l sodium borate, pH 9.8 was prepared daily and placed in the autosampler. The automated precolumn derivatization of the samples (15 μl) with OPA-MPA was carried out at 24° C. and 25 μl of the derivatized mixture were loaded onto the HPLC column (Hypersil C-18, 250×4.6 mm, 5 μm particle size, thermostated at 21° C.) for the subsequent chromatographic separation. In order to quantify correctly Glutamate, deproteinized brain extracts were diluted 20 times with HPLC-grade H2O prior to the derivatization procedure and subsequent injection. Separation of OPA-AA and OPA-AGCC was carried out at a flow rate of 1.2 ml/min using two mobile phases (mobile phase A=24 mmol/l CH3COONa+24 mmol/l Na2HPO4+1% tetrahydrofurane+0.1% trifluoroacetic acid, pH 6.5; mobile phase B=40% CH3OH+30 CH3CN+30% H2O), using an appropriate step gradient Assignment and calculation of the OPA-AA and OPA-AGCC in chromatographic runs of whole brain extracts were carried out at 338 nm wavelengths by comparing retention times and areas of peaks with those of peaks of chromatographic runs of freshly-prepared ultra-pure standard mixtures with known concentrations.


List of FAA and AGCC compounds: aspartate (ASP), glutamate (GLU), asparagine (ASN), serine (SER), glutamine (GLN), histidine (HIS), glycine (GLY), threonine (THR), citrulline (CITR), arginine (ARG), alanine (ALA), taurine (TAU), γ-aminobutyrric acid (GABA), tyrosine (TYR), S-adenosyihomocysteine (SAH), L-cystathionine (L-Cystat), valine (VAL), methionine (MET), tryptophane (TRP), phenylalanine (PHE), isoleucine (ILE), leucine (LEU), ornithine (ORN), lysine (LYS).


Brain Tissue Processing for Histo-Morphological Analyses


After adequate anesthesia rats were transcardially perfused as described in (Di Pietro et al., Sci Rep. 2017, 7(1): 9189). Briefly, a thoracotomy was performed and a heparin solution was administered into the portal vein to avoid blood coagulation during all the operation. Afterwards, a right atrial incision was carried out and the perfusion needle was advanced into the ascending aorta. Perfusion was performed with 100 ml of Phosphate Buffer Solution (PBS) at pH 7.4 in order to wash out blood before further perfusion with 100 ml 4% paraformaldehyde (PFA) in PBS solution at pH 7.4. After rapid removal from the skull, each brain was post fixed by immersion in 4% PFA in PBS solution for 2 hours at 4° C. Cryoprotection was obtained by immersing the whole brain in PBS enriched with increasing sucrose solutions (10%, 20%, and 30%) for 24 hours at 4° C., then implanted in optimal cutting temperature embedding medium (OCT) (Thermo Shandon, Runcorn, UK) in peel-away mould containers (Agar Scientific, Essex, UK). Brain immersed in OCT were rapidly frozen in crushed dry ice before storage at −80° C.


Statistical Analysis


Differences across groups were estimated by the Student's t-test. Only two-tailed p-values of less than 0.05 were considered statistically significant


Results


Summary of Biochemical Data Recorded at 2 Days Post sTBI


Effects of Increasing Doses of LMW-DS on Brain Energy Metabolism Measured


Table 13 summarizes values referring to phosphorylated high-energy purine and pyrimidine compounds. It is particularly evident the depletion of triphosphate nucleotides (ATP, GTP, UTP and CTP) caused by sTBI, that was accompanied by an increase in ADP and in the N-acetylated derivatives of UDP-glucose (UDP-GlcNac) and UDP-galactose (UDP-GalNac).


At this time post injury, treatment with LMW-DS was only partly effective in improving cell energy metabolism: Significantly higher values of high energy phosphates (ATP, GTP, and CTP) were recorded with all the three dosages of the drug tested. No effects were seen on the concentrations of UTP and ADP. It is worth recalling that 48 hours post TBI in rats represents a critical time point for brain metabolism, coincident with maximal alterations of mitochondrial functions including changes in the mitochondrial quality control. In this experimental model of TBI, this time point could be considered a sort of “turning point” at which recovery or no recovery of cerebral metabolism is defined.









TABLE 13







Concentrations of energy metabolites (phosphorylated purines and pyrimidines) measured in


deproteinized brain homogenates of rats sacrificed at 2 days post-sTBI, without and with


a single administration of increasing doses of LWM-DS (1, 5 and 15 mg/kg b.w.), performed


30 minutes after brain trauma induction. Controls are represented by sham-operated animals.


Values are the mean ± S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only)
LMW-DS 1
LMW-DS 5
LMW-DS 15





CMP
13.52 ± 3.44

34.85 ± 7.11


29.39 ± 6.00


custom-character


custom-character



UMP
82.30 ± 9.82

151.45 ± 20.92


148.04 ± 20.45


custom-character


147.53 ± 20.38



IMP
 51.57 ± 4.610
 55.06 ± 10.36


45.97 ± 8.65



custom-character


custom-character



GMP
 82.81 ± 7.821

186.08 ± 23.36


205.06 ± 25.74


custom-character


178.88 ± 22.46



UDP-Glc
 51.00 ± 10.89
48.87 ± 7.24
45.14 ± 6.68

custom-character

43.41 ± 6.43


UDP-Gal
131.00 ± 13.26
127.11 ± 10.61

118.50 ± 9.89


custom-character


custom-character



UDP-GlcNac
 88.77 ± 19.55

102.34 ± 9.32

96.62 ± 8.80

custom-character


108.74 ± 9.90








custom-character



UDP-GalNac
38.82 ± 9.83

22.10 ± 3.26


21.24 ± 3.13


20.75 ± 3.06


22.37 ± 3.30



GDP Glucose
 85.35 ± 12.76
 89.05 ± 39.68
 65.66 ± 41.61
 83.81 ± 37.35
 84.24 ± 37.54


AMP
43.59 ± 9.90
 65.13 ± 41.27

62.04 ± 7.46

67.03 ± 11.85
66.26 ± 10.74


UDP
23.94 ± 6.75

64.40 ± 6.60


custom-character


custom-character


80.00 ± 8.20



GDP
 57.40 ± 14.06

167.28 ± 23.11


custom-character


183.27 ± 25.32


194.61 ± 26.88







custom-character



ADP-Ribose
12.69 ± 1.43
13.85 ± 2.78

custom-character


custom-character


23.06 ± 4.63



CTP
 41.85 ± 10.32

28.32 ± 5.73


33.01 ± 7.63



37.72 ± 7.63




37.53 ± 7.59




ADP
222.67 ± 30.99

297.53 ± 25.59


custom-character


custom-character


custom-character







custom-character


custom-character


custom-character



UTP
152.64 ± 17.39

100.79 ± 15.83


104.07 ± 16.34



142.82 ± 22.43



108.21 ± 16.99



GTP
569.00 ± 45.32

202.19 ± 21.33


custom-character


custom-character


custom-character







custom-character


custom-character


custom-character



ATP
2390.14 ± 213.98

1330.60 ± 77.96


custom-character


custom-character


custom-character







custom-character


custom-character


custom-character










In Tables 13-31, bold indicates significantly different from controls (p<0.05); bold underlined indicates significantly different from TBI (p<0.05); and bold italic indicates significantly different from both controls and TBI (p<0.05).


Effects of Increasing Doses of LMW-DS on Nicotinic Coenzymes


Values of oxidized (NAD+ and NADP+) and reduced (NADH and NADPH) nicotinic coenzymes are summarized in Table 14. This Table 14 also reports the calculated, a dimensional values of the NAD+/NADH ratio which is suitable to evaluate how much metabolism is dependent on glycolysis or on mitochondrial oxidative phosphorylation.


As previously observed herein, sTBI caused decrease of NAD+, NADP+ and of the NAD+/NADH ratio. At this time point, treatment with LMW-DS was effective only at the maximal dose tested (15 mg/kg b.w.) that produced significant protection of the nicotinic coenzyme pool and avoid the metabolic switch towards glycolysis, thereby indirectly suggesting overall better mitochondrial functions.









TABLE 14







Concentrations of nicotinic coenzymes measured in deproteinized brain homogenates


of rats sacrificed at 2 days post-sTBI, without and with a single administration


of increasing doses of LWM-DS (1, 5 and 15 mg/kg b.w.), performed 30 minutes


after brain trauma induction. Controls are represented by sham-operated animals.


Values are the mean ± S.D. of 12 animals in each group and are expressed as


nmol/g w.w. The NAD+/NADH ratio is adimensional.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15





NAD+
485.74 ± 37.06

379.70 ± 64.64


custom-character


376.85 ± 64.15



475.32 ± 80.91








custom-character



NADH
13.57 ± 1.94
12.45 ± 1.82

custom-character


custom-character


custom-character



NADP+
23.17 ± 4.58

17.68 ± 4.04


custom-character


custom-character



17.75 ± 4.06




NADPH
 8.51 ± 0.71
 7.94 ± 0.66

custom-character


custom-character

8.93 ± 0.74


NAD+/NADH
36.47 ± 5.46

34.99 ± 6.05

33.91 ± 9.32


36.61 ± 6.09




44.40 ± 7.67











Effects of Increasing Doses of LMW-DS on CoA-SH Derivatives


Table 15 reports data referring to free CoA-SH and CoA-SH derivatives. Particularly Acetyl-CoA is a crucial compound for mitochondrial metabolism allowing correct functioning of the tricarboxylic acid cycle (TCA cycle), thus ensuring continuous electron supply for the electron transfer chain (ETC). TCA is the major cell cycle for the generation of reduced coenzymes (NADH and FADH2) which, by transferring their electrons to mitochondrial complexes I and II, respectively, are the fuel for ETC and oxidative metabolism. All compounds, particularly Acetyl-CoA, are significantly affected by sTBI. A partial rescue of this compound was observed when 5 or 15 mg/kg b.w. LWM-DS was administered to animals 30 minutes post injury.









TABLE 15







Concentrations of free CoA-SH and CoA-SH derivatives (Acetyl-CoA and Malonyl-


CoA) measured in deproteinized brain homogenates of rats sacrificed at 2 days


post-TBI without and with a single administration of increasing doses of LWM-DS


(1, 5 and 15 mg/kg b.w.), performed 30 minutes after brain trauma induction.


Controls are represented by sham-operated animals. Values are the mean ±


S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15





Malonyl-CoA
15.02 ± 2.38

11.82 ± 2.50


custom-character


custom-character


custom-character



CoA-SH
26.31 ± 3.86

21.00 ± 2.32


custom-character


custom-character


custom-character



Acetyl-CoA
36.97 ± 5.43

28.32 ± 3.29


27.74 ± 3.23



34.85 ± 4.05



32.38 ± 3.77










Effects of Increasing Doses of LMW-DS on Antioxidants and Oxidative/Nitrosative Stress Biomarkers


Table 16 shows the concentrations of the main water-soluble brain antioxidants (ascorbic acid and GSH) and of biomarkers of oxidative (MDA) and nitrosative stress (—NO2 and —NO3). Malondialdehyde (MDA) originates from decomposition of unsaturated fatty acids of membrane phospholipids as a consequence of ROS-mediated lipid peroxidation. Nitrites (—NO2) and nitrates (—NO3) are stable end products of nitric oxide (NO) metabolism which, under pathological conditions, is generated in excess by an inducible form of nitric oxide synthase (iNOS) and gives raise to reactive nitrogen species (RNS) through the reaction with ROS:


At two days post impact, 25 to 45% decrease in both water-soluble antioxidants occurred in rats experiencing sTBI. Consequent increase in signatures of oxidative/nitrosative stress was also recorded. Administration of LWM-DS significantly ameliorated the concentrations of both ascorbic acid and reduced glutathione (GSH) with evident decrease of cerebral tissue nitrites and nitrates. These effects were more remarkable when 15 mg kg/b.w. where used.









TABLE 15







Concentrations of antioxidants and oxidative/nitrosative stress biomarkers measured in deproteinized


brain homogenates of rats sacrificed at 2 days post-TBI without and with a single administration


of increasing doses of LWM-DS (1, 5 and 15 mg/kg b.w.), performed 30 minutes after brain


trauma induction. Controls are represented by sham-operated animals. Values are the mean ±


S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15





ASCORBIC
3315.38 ± 351.59

2577.87 ± 148.36


2567.35 ± 147.76


2626.68 ± 151.17


custom-character



ACID





custom-character



GSH
3521.63 ± 275.04

1972.14 ± 287.59


custom-character


2067.79 ± 301.54



2418.94 ± 352.75








custom-character



MDA
 0.85 ± 0.26

27.30 ± 4.45


custom-character


32.73 ± 5.33


custom-character



NO2
142.93 ± 28.19

232.31 ± 27.99



158.36 ± 19.08



218.12 ± 26.28


custom-character



NO3
169.51 ± 20.79

266.82 ± 58.06


custom-character



148.41 ± 32.30



custom-character










Effects of Increasing Doses of LMW-DS on De-Phosphorylated Purines and Pyrimidines


The majority of the compounds reported in Table 16 originate from the degradation pathways of purine and pyrimidine nucleotides; and are indirectly connected to cell energy metabolism. Rats receiving sTBI had higher cerebral concentrations of all these compounds, but CDP-choline, most of which were positively affected by the drug administration.









TABLE 16







Concentrations of de-phosphorylated purines and pyrimidines measured in deproteinized


brain homogenates of rats sacrificed at 2 days post-TBI without and with a single administration


of increasing doses of LWM-DS (1, 5 and 15 mg/kg b.w.), performed 30 minutes after brain


trauma induction. Controls are represented by sham-operated animals. Values are the mean ±


S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15





CYTOSINE
14.14 ± 3.38

20.19 ± 2.47



13.47 ± 1.65




13.65 ± 1.67




13.57 ± 1.66




CREATININE
17.12 ± 2.49

31.08 ± 5.79



17.66 ± 3.29



custom-character


custom-character



URACIL
10.91 ± 2.27

15.64 ± 3.06


17.18 ± 3.36


17.83 ± 3.48


15.55 ± 3.04



β-
 6.89 ± 1.27
8.51 ± 1.71

custom-character


custom-character

 7.84 ± 1.57


PSEUDOURIDINE


CYTIDINE
12.76 ± 2.59

10.07 ± 1.82



13.79 ± 2.49



custom-character

11.46 ± 2.07


HYPDXANTHINE
 7.57 ± 0.93

15.22 ± 2.49


custom-character


custom-character

6.82 ± 1.12


GUANINE
 3.34 ± 0.88
5.11 ± 1.28

custom-character


custom-character


custom-character



XANTHINE
 7.61 ± 1.39

15.82 ± 1.64


custom-character

6.71 ± 0.70

custom-character



CDP choline
 7.97 ± 1.370
 8.23 ± 1.23
 8.23 ± 1.22

custom-character

7.07 ± 1.05


URIDINE
 64.08 ± 14.14

131.59 ± 23.17


custom-character


117.21 ± 20.64


custom-character







custom-character



custom-character



INOSINE
 89.43 ± 15.04

134.31 ± 17.51


custom-character


custom-character


142.91 ± 18.63







custom-character


custom-character



URIC ACID
 3.36 ± 0.64

37.73 ± 7.74


custom-character


custom-character


custom-character







custom-character



GUANOSINE
21.10 ± 5.56
19.69 ± 3.27

custom-character


custom-character



24.35 ± 4.05




ADENOSINE
46.71 ± 7.39
68.07 ± 16.30
68.91 ± 16.50

custom-character

53.25 ± 12.75







custom-character










Effects of Increasing Doses of LMW-DS on N-Acetylaspartate (NAA)


NAA is the most abundant N-acetylated amino acid of the mammalian brain, with concentrations almost equaling those of the neurotransmitter glutamate in humans. Notwithstanding the biological role of NAA has not yet been fully elucidated, we have clearly showed, in both preclinical and clinical studies, that TBI decreases NAA concentrations and that its time course changes following head injury mirrors those of ATP. Particularly, we found that sTBI causes an irreversible modification in NAA homeostasis, that NAA is a good surrogate marker of brain energy metabolism and that decrease and recovery of NAA levels are much slower than symptom clearance in post-concussed athletes. Hence, NAA has a particular relevance in studies on TBI.


Decrease by 40% in whole brain NAA was observed in sTBI rats (FIG. 24) at two days post impact LMW-DS produced beneficial effects on NAA concentrations when administered at 5 or 15 mg/kg b.w. Although significantly lower than controls, NAA in rats administered with either one of the two drug dosages was significantly higher than values found in sTBI rats, with highest NAA levels found in rats receiving the highest dose of LMW-DS.


Effects of Increasing Doses of LMW-DS on Free Amino Acids Involved in Neurotransmission


Compounds listed in Table 17 are amino acids directly (GLU, GABA) of indirectly (GLN, ASP, ASN, GLY, SER, THR, ALA) involved in neurotransmission. Particularly, GLU is the main excitatory amino acid, counteracted in its action by GABA. Excitotoxicity of GLU is modulated by SER, GLY, THR and ALA and it is linked to the function of the GLU-GLN cycle involving neurons and astrocytes. As shown in a previous study (16), we here found that most of these amino acids increased in sTBI rats at two days post injury. Treating animals with a single administration of LMW-DS was partly effective when the drug was subcutaneously infused at 5 or 15 mg/kg b.w. In most cases, values of the different compounds were significantly better than those found in the group of untreated sTBI animals but not than those of controls.









TABLE 17







Concentrations of free amino acids with neurotransmitter functions measured


in deproteinized brain homogenates of rats sacrificed at 2 days post-TBI


without and with a single administration of increasing doses of LWM-DS


(1, 5 and 15 mg/kg b.w.), performed 30 minutes after brain trauma induction.


Controls are represented by sham-operated animals. Values are the mean ±


S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15





ASP
2.88 ± 0.88

4.55 ± 0.63


4.17 ± 0.99


4.15 ± 0.95



3.05 ± 0.42




GLU
9.92 ± 0.83

12.88 ± 0.60


12.52 ± 0.91


custom-character


custom-character



ASN
0.10 ± 0.03

0.14 ± 0.02


0.13 ± 0.02


custom-character


custom-character



SER
0.64 ± 0.17

0.82 ± 0.07


custom-character


custom-character


custom-character



GLN
3.89 ± 0.87
4.34 ± 0.42
4.37 ± 0.59

4.55 ± 0.44

4.21 ± 0.51


GLY
0.78 ± 0.13

1.38 ± 0.27


1.35 ± 0.26


1.43 ± 0.28


1.18 ± 0.23



THR
0.69 ± 0.18
0.76 ± 0.16
0.70 ± 0.15
0.77 ± 0.17


0.61 ± 0.13




ALA
0.41 ± 0.11

0.58 ± 0.06


custom-character


custom-character


custom-character



GABA
1.36 ± 0.22

1.93 ± 0.17


1.87 ± 0.17


1.99 ± 0.18


custom-character










Effects of Increasing Doses of LMW-DS on Free Amino Acids Involved in the Methyl Cycle


Free amino acids reported in Table 18 are involved either in the so called methyl cycle, regulating the homeostasis of compounds acting as methyl donors in cell metabolism, or in the formation of cysteine, the sole amino acid having a free—SH group. Severe head trauma caused significant changes in the main actors of this important metabolic pathway. Restoration of methionine was accomplished by LWM-DS at any dose tested. Drug treatment was partly effective in normalizing the other amino acids. Comments to changes in L-Cystathionine (L-Cystat) will be given in the corresponding Table at 7 days post impact.









TABLE 18







Concentrations of free amino acids involved in the methyl cycle and homeostasis


of —SH groups measured in deproteinized brain homogenates of rats sacrificed


at 2 days post-TBI without and with a single administration of increasing doses


of LWM-DS (1, 5 and 15 mg/kg b.w.), performed 30 minutes after brain trauma


induction. Controls are represented by sham-operated animals. Values are the


mean ± S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5 (
LMW-DS 15





SAH
0.03 ± 0.01

0.07 ± 0.01


0.07 ± 0.02


0.07 ± 0.02


0.06 ± 0.02



L-Cystat
0.15 ± 0.03

0.31 ± 0.06


custom-character


0.31 ± 0.06


custom-character



MET
0.03 ± 0.01

0.02 ± 0.01



0.04 ± 0.01



custom-character



0.03 ± 0.01











Effects of increasing doses of LMW-DS on free amino acids involved in the generation of nitric oxide (NO) Table 19 illustrates concentrations of the free amino acids directly involved in the generation of NO, in the reaction catalyzed by nitric oxide synthases (NOS), a family of enzymes existing in three isoforms: endothelial NOS (eNOS), neuronal NOS (nNOS), inducible NOS (iNOS). The last isoform (iNOS) is the one involved in nitrosative stress. Nitric oxide is generated through a complex reaction in which arginine (ARG) donates a nitrogen atom undergoing a partial oxidation and forming citruline (CITR) and NO. Animals at 2 days post sTBI showed concomitant decrease in ARG and increase in CITR, in line with data showing increase in the stable NO end products nitrites and nitrates (Table 15). Administration of LMW-DS was particularly effective when the 15 mg/kg b.w. dose was used.









TABLE 19







Concentrations of free amino acids involved in nitric oxide formation measured


in deproteinized brain homogenates of rats sacrificed at 2 days post-TBI


without and with a single administration of increasing doses of LWM-DS (1,


5 and 15 mg/kg b.w.), performed 30 minutes after brain trauma induction.


Controls are represented by sham-operated animals. Values are the mean ±


S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15





CITR
0.03 ± 0.01

0.03 ± 0.01


custom-character


custom-character


custom-character



ARG
0.17 ± 0.03

0.11 ± 0.03


0.13 ± 0.03


0.13 ± 0.03



0.16 ± 0.04




ORN
0.02 ± 0.01
0.02 ± 0.01
0.02 ± 0.01
0.01 ± 0.01
0.02 ± 0.01









Effects of Increasing Doses of LMW-DS on Long-Chain Free Amino Acids


The free amino acids reported in Table 20 represents a source of carbon skeleton useful to generate a-ketoacids that cells use to replenish the TCA cycle. Among these compounds, only isoleucine (ILE) was significantly affected by sTBI and restored in rats receiving drug treatment.









TABLE 20







Concentrations of long chain free amino acids measured in deproteinized


brain homogenates of rats sacrificed at 2 days post-TBI without and


with a single administration of increasing doses of LWM-DS (1, 5 and


15 mg/kg b.w.), performed 30 minutes after brain trauma induction. Controls


are represented by sham-operated animals. Values are the mean ±


S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15





VAL
0.07 ± 0.02
0.06 ± 0.03
0.07 ± 0.03
0.08 ± 0.03
0.06 ± 0.03


ILE
0.03 ± 0.01

0.05 ± 0.01


custom-character


custom-character


custom-character



LEU
0.04 ± 0.01
0.04 ± 0.01

custom-character


custom-character

0.04 ± 0.01


LYS
0.23 ± 0.03
0.28 ± 0.10
0.29 ± 0.11

0.37 ± 0.14


0.32 ± 0.12










Effects of Increasing Doses of LMW-DS on Free Amino Acids Acting as Osmolytes and Aromatic Free Amino Acids


Results summarized in Table 21 clearly show that sTBI caused the increase in the concentrations of all these free amino acids. Particularly, the increase in taurine (TAU) may suggest the attempt to counteract cell edema by increasing the levels of one of the most important brain osmolyte. Differently, increase in aromatic free amino acids may suggest reduced biosynthesis of the neurotransmitters serotonin (formed from tryptophan) and dopamine (generated from the biotransformation of phenylalanine first and tyrosine then). No remarkable effects of LMW-DS administration were observed at this time point after impact.









TABLE 21







Concentrations of free amino acids acting as osmolytes and aromatic free amino


acids measured in deproteinized brain homogenates of rats sacrificed at 2


days post-TBI without and with a single administration of increasing doses


of LWM-DS (1, 5 and 15 mg/kg b.w.), performed 30 minutes after brain trauma


induction. Controls are represented by sham-operated animals. Values are the


mean ± S.D. of 12 animals in each group and are expressed as nmol/g w.w.












Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15





TAU
3.82 ± 0.61

4.84 ± 0.46


4.98 ± 0.47


5.15 ± 0.49


4.59 ± 0.43



HYS
0.05 ± 0.01

0.06 ± 0.01


custom-character


custom-character


custom-character



TYR
0.13 ± 0.03

0.17 ± 0.03


0.18 ± 0.03


0.20 ± 0.03


0.17 ± 0.03



TRP
0.01 ± 0.01

0.02 ± 0.01


0.02 ± 0.01


0.03 ± 0.01


custom-character



PHE
0.03 ± 0.01

0.05 ± 0.01


custom-character


custom-character


custom-character










Summary of Biochemical Data Recorded at 7 Days Post STBI


Effects of Increasing Doses of LMW-DS on Brain Energy Metabolism Measured


Table 22 summarizes values referring to phosphorylated high-energy purine and pyrimidine compounds. It is particularly evident the no amelioration of the depletion of triphosphate nucleotides (ATP, GTP, UTP and CTP) was observed at 7 days post sTBI. Concomitant increase in AMP and ADP was accompanied by significant changes in the concentrations of UDP derivatives (UDP-Glc, UDP-Gal, UDP-GlcNac and UDP-GalNac). In general, it should be underlined that longer times post injury were often characterized by worsening of the biochemical, metabolic, molecular alterations induced by sTBI.


At this time post injury, treatment with LMW-DS produced a general improvement of cerebral energy metabolism, more evident when drug administration dose was higher than 1 mg/kg b. w. Although differences with controls were recorded even in rats receiving repeat administration of 15 mg kg/b. w. LWM-DS, significantly higher values of nucleotide triphosphates were found in drug treated animals. Of particular relevance is the progressive recovery of the calculated, a dimensional value of the ATP/ADP ratio (which is considered as a good indicator of the mitochondrial phosphorylating capacity) that progressively increased by increasing the dose of drug administered to sTBI animals.









TABLE 22







Concentrations of energy metabolites (phosphorylated purines and pyrimidines) measured in


deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of


increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration


of 15 mg/kg b.w.). Controls are represented by sham-operated animals. Values are the mean ± S.D. of 12


animals in each group and are expressed as nmol/g w.w.


















LMW-DS
LMW-DS


Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
15
15-R





CMP
13.52 ±
30.98 ±
25.41 ±

custom-character


custom-character

31.21 ±



3.44
3.18
10.81

custom-character


custom-character

13.28


UMP
82.30 ±
139.70 ±

custom-character


custom-character


custom-character


custom-character




9.82
27.06

custom-character


custom-character


custom-character


custom-character



IMP
51.57 ±
110.07 ±

custom-character


custom-character


custom-character


custom-character




4.61
28.19

custom-character


custom-character


custom-character


custom-character



GMP
82.81 ±
164.41 ±
113.06 ±
101.42 ±

custom-character


custom-character




7.82
77.81
53.51
48.00

custom-character


custom-character



UDP-Glc
51.00 ±
39.28 ±

custom-character

58.10 ±

custom-character


custom-character




10.89
7.98

custom-character

11.81

custom-character


custom-character



UDP-Gal
131.00 ±
112.58 ±
130.20 ±
132.66 ±
137.57 ±
135.15 ±



13.26
7.74
8.95
9.12
9.46
9.29


UDP-
88.77 ±
134.24 ±
85.36 ±
85.14 ±

custom-character

86.42 ±


GlcNac
19.55
46.44
29.53
29.45

custom-character

29.89


UDP-
38.82 ±
13.08 ±
15.85 ±

custom-character


custom-character

16.50 ±


GalNac
9.83
3.75
4.54

custom-character


custom-character

4.73


GDP
85.35 ±
90.43 ±

custom-character


custom-character


custom-character


custom-character



Glucose
12.76
10.58

custom-character


custom-character


custom-character


custom-character



AMP
43.59 ±
55.86 ±
43.13 ±
59.50 ±

custom-character

43.12 ±



9.90
4.39
3.39
4.68

custom-character

3.39


UDP
23.94 ±
45.30 ±
38.59 ±
44.19 ±

custom-character


custom-character




6.75
6.37
5.43
6.22

custom-character


custom-character



GDP
57.40 ±
112.05 ±
121.72 ±

custom-character

122.07 ±
109.06 ±



14.06
12.80
13.91

custom-character

13.95
12.46


ADP-
12.69 ±
22.64 ±

custom-character


custom-character

19.21 ±
13.23 ±


Ribose
1.43
5.68


4.82
3.32


CTP
41.85 ±
34.12 ±

custom-character


custom-character


custom-character


custom-character




10.32
9.03

custom-character


custom-character


custom-character


custom-character



ADP
222.67 ±
302.60 ±
286.78 ±
289.27 ±
276.83 ±

custom-character




30.99
40.30
38.19
38.52
36.87

custom-character



UTP
152.64 ±
108.55 ±

custom-character


custom-character


custom-character


custom-character




17.39
19.01

custom-character


custom-character


custom-character


custom-character



GTP
569.00 ±
375.24 ±

custom-character


custom-character


custom-character


custom-character




45.32
34.12

custom-character


custom-character


custom-character


custom-character



ATP
2390.14 ±
1561.36 ±

custom-character


custom-character


custom-character


custom-character




213.98
125.60

custom-character


custom-character


custom-character


custom-character



ATP/ADP
10.99 ±
5.23 ± 0.66

custom-character


custom-character


custom-character


custom-character




2.21









To better show that drug effects were related to the drug dosage, we graphically reported in FIG. 25 results concerning ATP. It is possible to observe that ATP increase was somehow related to the dosage administered and that drug administration produced significant increases of the most important high energy phosphate at any dose tested.


Effects of Increasing Doses of LMW-DS on Nicotinic Coenzymes


Values of oxidized (NAD+ and NADP+) and reduced (NADH and NADPH) nicotinic coenzymes are summarized in Table 23. Table 23 also reports the calculated, a dimensional value of the NAD+/NADH ratio which is suitable to evaluate how much metabolism is dependent on glycolysis or on mitochondrial oxidative phosphorylation.


As formerly observed, profound decrease of nicotinic coenzymes and of the NAD+/NADH ratio was recorded in sTBI rats at 7 days post injury. With the exclusion of the lowest dose, treatment with LMW-DS produced significant improvement of the concentrations of nicotinic coenzymes. Particularly, single and repeat administration of 15 mg/kg b.w. LMW-DS were able to normalize NAD+ level and to restore the correct NAD+/NADH ratio determined in control animals.









TABLE 23







Concentrations of nicotinic coenzymes measured in deproteinized brain homogenates of rats


sacrificed at 7 days post-sTBI, without and with administration of increasing doses of LWM-DS


(single administration of 1, 5 and 15 mg/kg b.w. and repeated administration of 15 mg/kg b.w.).


Controls are represented by sham-operated animals. Values are the


mean ± S.D. of 12 animals in each group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





NAD+
485.74 ± 37.06 
249.37 ± 35.32 
268.14 ± 37.97 

custom-charactercustom-character

491.52 ± 69.61 

custom-charactercustom-character



NADH
13.57 ± 1.94 
8.98 ± 1.55
8.20 ± 1.41
8.83 ± 1.26

custom-charactercustom-character


custom-charactercustom-character



NADP+
23.17 ± 4.58 
11.69 ± 4.29 

custom-charactercustom-character

24.45 ± 8.97 
23.75 ± 8.72 

custom-charactercustom-character



NADPH
8.51 ± 0.71
10.66 ± 2.48 

custom-charactercustom-character

12.30 ± 2.86 

custom-character

11.21 ± 2.60 


NAD+/NADH
36.47 ± 5.46 
27.51 ± 5.83 
33.91 ± 9.32 
33.90 ± 7.19 

custom-charactercustom-character

37.47 ± 9.46 









Effects of Increasing Doses of LMW-DS on CoA-SH Derivatives


Table 24 reports data referring to free CoA-SH and CoA-SH derivatives. Remarkable positive effects of the administration of 5 or 15 mg/kg b.w. (this dose both as a single and repeat administration) were detected both for CoA-SH and Acetyl-CoA, suggesting much more favorable metabolic conditions for the functioning of the TCA cycle.









TABLE 24







Concentrations of free CoA-SH and CoA-SH derivatives (Acetyl-CoA and Malonyl-CoA) measured


in deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of


increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration


of 15 mg/kg b.w.). Controls are represented by sham-operated animals. Values are the mean ± S.D. of 12


animals in each group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





Malonyl-CoA
15.02 ± 2.38 
13.01 ± 2.35 
5.43 ± 0.98

custom-character


custom-character

12.56 ± 2.27 


CoA-SH
26.31 ± 3.86 
26.44 ± 3.39 

custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character

45.76 ± 5.87 


Acetyl-CoA
36.97 ± 5.43 
18.28 ± 3.11 

custom-charactercustom-character


custom-charactercustom-character

38.60 ± 6.57 
37.91 ± 6.46 









Effects of Increasing Doses of LMW-DS on Antioxidants and Oxidative/Nitrosative Stress Biomarkers


Table 25 shows the concentrations of the main water-soluble brain antioxidants (ascorbic acid and GSH) and of biomarkers of oxidative (MDA) and nitrosative stress(—NO2 and —NO3). At 7 days post impact no recovery in the concentrations of both water-soluble antioxidants occurred in rats experiencing sTBI. Remarkably high levels of signatures of oxidative/nitrosative stress were also recorded. The effects of the administration of the highest single and repeat dose of LWM-DS were particularly beneficial to rescue the concentrations of both ascorbic acid and reduced glutathione (GSH) with evident decrease of cerebral tissue nitrites and nitrates. These effects were also significant when 5 mg kg/b.w. where used.









TABLE 25







Concentrations of antioxidants and oxidative/nitrosative stress biomarkers measured in


deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of


increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration


of 15 mg/kg b.w.). Controls are represented by sham-operated animals. Values are the mean ± S.D. of 12


animals in each group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





ASCORBIC
3315.38 ± 351.59 
2251.89 ± 271.20 
2177.22 ± 262.21 
2195.87 ± 264.45 

custom-charactercustom-character


custom-charactercustom-character



ACID








GSH
3521.63 ± 275.04 
1752.50 ± 231.01 
1627.30 ± 214.51 

custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character



MDA
0.85 ± 0.26
10.70 ± 1.77 
32.98 ± 5.44 

custom-charactercustom-character


custom-character


custom-character



NO2
142.93 ± 28.19 
241.72 ± 52.37 

custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character

130.69 ± 28.31 


NO3
169.51 ± 20.79 
315.71 ± 53.92 
153.62 ± 26.24 

custom-charactercustom-character

161.99 ± 27.67 

custom-charactercustom-character










To better appreciate that drug effects were related to the drug dosage, we graphically reported in FIGS. 26 and 27 results concerning Ascorbic acid and GSH.


Effects of Increasing Doses of LMW-DS on De-Phosphorylated Purines and Pyrimidines


A further worsening in the majority of the compounds reported in Table 26, originating from the degradation pathways of purine and pyrimidine nucleotides and indirectly connected to cell energy metabolism, were observed in rats receiving sTBI at 7 days post injury. Most of these compounds were positively affected by the drug administration.









TABLE 26







Concentrations of de-phosphorylated purines and pyrimidines measured in deproteinized brain


homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of increasing doses of


LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration of 15 mg/kg b.w.).


Controls are represented by sham-operated animals. Values are the mean ± S.D. of 12 animals in each


group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





CYTOSINE
14.14 ± 3.38 
21.43 ± 4.60 
16.03 ± 3.44 
12.67 ± 2.72 
13.87 ± 2.98 

custom-character



CREATININE
17.12 ± 2.49 
7.68 ± 1.36

custom-character


custom-character


custom-character


custom-character



URACIL
10.91 ± 2.27 
22.71 ± 4.67 

custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character

24.13 ± 4.96 


β-
6.89 ± 1.27
23.36 ± 4.33 

custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character



PSEUDOURIDINE








CYTIDINE
12.76 ± 2.59 
29.68 ± 10.44
29.67 ± 10.44
26.51 ± 9.33 
33.06 ± 11.63

custom-charactercustom-character



HYPOXANTHINE
7.57 ± 0.93
24.66 ± 7.18 

custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character


custom-character



GUANINE
3.34 ± 0.87
5.21 ± 2.22
6.86 ± 2.92
7.92 ± 3.37
5.27 ± 2.24
3.32 ± 1.41


XANTHINE
7.61 ± 1.39
13.58 ± 3.84 
12.53 ± 3.54 
14.33 ± 4.05 
12.71 ± 3.60 
11.24 ± 3.18 


CDP choline
7.97 ± 1.37
7.90 ± 2.54
6.26 ± 2.01
10.37 ± 3.33 
10.06 ± 3.23 

custom-charactercustom-character



URIDINE
64.08 ± 14.14
84.44 ± 20.01

custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character

97.21 ± 23.03


INOSINE
89.43 ± 15.04
139.98 ± 15.70 

custom-charactercustom-character


custom-charactercustom-character


custom-charactercustom-character

139.26 ± 15.62 


URIC ACID
3.36 ± 0.64
25.06 ± 5.96 

custom-character


custom-charactercustom-character


custom-character


custom-character



GUANOSINE
21.10 ± 5.56 
31.85 ± 6.64 
19.11 ± 3.98 
33.42 ± 6.96 
20.91 ± 4.36 
19.66 ± 4.10 


ADENOSINE
46.71 ± 7.39 
69.37 ± 51.38

custom-charactercustom-character


custom-charactercustom-character

55.95 ± 41.44
40.84 ± 30.25









Effects of Increasing Doses of LMW-DS on N-Acetylaspartate (NAN)


As previously mentioned, sTBI causes an irreversible modification in NAA homeostasis. Even in this study, we found that at 7 days post sTBI whole brain NAA was about 50% lower than that measured in control rats, see FIG. 28 Interestingly, a dose dependent increase in NAA was detected in rats receiving increasing doses of single LMW-DS or repeat administrations of the maximal dose tested.


Effects of Increasing Doses of LMW-DS on Free Amino Acids Involved in Neurotransmission


Compounds listed in Table 27 are amino acids directly (GLU, GABA) of indirectly (GLN, ASP, AASN, GLY, SER, THR, ALA) involved in neurotransmission. Most of these amino acids had still higher in sTBI rats at 7 days post injury when compared with controls. It is evident from this Table that administration of LMW-DS was effective particularly when the drug was subcutaneously infused at 15 mg/kg b.w., either in a single or in repeat administrations. Particularly relevant is the normalization of GLU, thus indicating that LMW-DS is capable to abolish excitotoxicity cause by excess GLU release after sTBI.









TABLE 27







Concentrations of free amino acids with neurotransmitter functions measured in deproteinized


brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of increasing doses


of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated administration of 15 mg/kg b.w.).


Controls are represented by sham-operated animals. Values are the mean ± S.D. of 12 animals in each


group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





ASP
2.88 ± 0.88
4.14 ± 0.75
4.17 ± 0.67
3.63 ± 0.59

custom-character

2.42 ± 0.39


GLU
9.92 ± 0.83
12.26 ± 1.03 
12.14 ± 1.02 
11.82 ± 0.99 
10.25 ± 0.86 

custom-charactercustom-character



ASN
0.10 ± 0.03
0.10 ± 0.02
0.10 ± 0.02
0.10 ± 0.02
0.10 ± 0.02
0.10 ± 0.02


SER
0.64 ± 0.17
1.04 ± 0.18
0.92 ± 0.16

custom-character

0.76 ± 0.12

custom-character



GLN
3.89 ± 0.87
3.97 ± 0.41
4.10 ± 0.42
3.86 ± 0.40
3.73 ± 0.38
3.88 ± 0.40


GLY
0.78 ± 0.13
0.91 ± 0.17
0.98 ± 0.20
0.88 ± 0.15
0.78 ± 0.12
0.78 ± 0.10


THR
0.69 ± 0.18
0.76 ± 0.10
0.71 ± 0.12
0.71 ± 0.15
0.72 ± 0.14
0.77 ± 0.14


ALA
0.41 ± 0.11
0.51 ± 0.05

custom-character

0.44 ± 0.05
0.38 ± 0.04
0.47 ± 0.05


GABA
1.36 ± 0.22
1.78 ± 0.18
1.73 ± 0.18
1.63 ± 0.17
1.43 ± 0.15
1.38 ± 0.14









Effects of Increasing Doses of LMW-DS on Free Amino Acids Involved in the Methyl Cycle


As shown in Table 28, levels of free amino acids involved either in the so called methyl cycle or in the formation of cysteine, were still different in sTBI rats at 7 days post impact, when compared to corresponding values of controls. Increase in MET was observed in animals receiving the highest dose of LWM-DS (both as single or as repeat administrations). As already observed at 2 days post injury, these drug levels produced a significant increase in L-Cystathionine (L-Cystat). Since this compound is an intermediate in the generation of cysteine (CYS), it is conceivable to hypothesize that increase in L-Cystat may produce a consequent increase in CYS. It is worth recalling that determination of CYS requires a specific additional HPLC assay with additional derivatization with F-MOC, a fluorescent compound that reacts with secondary amine and with CYS.









TABLE 28







Concentrations of free amino acids involved in the methyl cycle and homeostasis of -SH groups measured in


deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of


increasing doses of LWM-DS (single administration of 1,5 and 15 mg/kg b.w. and repeated


administration of 15 mg/kg b.w.). Controls are represented by sham-operated animals.


Values are the mean ± S.D. of 12 animals in each group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





SAH
0.03 ± 0.01
0.05 ± 0.01
0.04 ± 0.01

custom-character

0.04 ± 0.01
0.04 ± 0.04


L-Cystat
0.15 ± 0.03
0.23 ± 0.04
0.24 ± 0.04
0.26 ± 0.04
0.25 ± 0.04

custom-character



MET
0.03 ± 0.01
0.03 ± 0.01
0.03 ± 0.01
0.04 ± 0.01
0.04 ± 0.01

custom-character










Effects of Increasing Doses of LMW-DS on Free Amino Acids Involved in the Generation of Nitric Oxide (NO)


Table 29 illustrates concentrations of the free amino acids directly involved in the generation of NO. Animals at 7 days post sTBI showed still concomitant decrease in ARG and increase in CITR, in line with data showing increase in the stable NO end products nitrites and nitrates (Table 15). Administration of LMW-DS was particularly effective when 5 or 15 mg/kg b.w. (single and repeat) were used.









TABLE 29







Concentrations of free amino acids involved in nitric oxide formation measured in deproteinized


brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of


increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated


administration of 15 mg/kg b.w.). Controls are represented by sham-operated animals.


Values are the mean ± S.D. of 12 animals in each group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





CITR
0.03 ± 0.01
0.04 ± 0.02
0.03 ± 0.01
0.03 ± 0.01
0.03 ± 0.01
0.03 ± 0.01


ARG
0.17 ± 0.03
0.13 ± 0.02
0.13 ± 0.02
0.15 ± 0.02
0.14 ± 0.02

custom-character



CRN
0.02 ± 0.01
0.01 ± 0.01
0.01 ± 0.01

custom-character


custom-character

0.02 ± 0.01









Effects of Increasing Doses of LMW-DS on Long-Chain Free Amino Acids


The free amino acids reported in Table 30, representing a source of carbon skeleton useful to generate a-ketoacids that cells use to replenish the TCA cycle, were practically normal at 7 days post sTBI and any other group of animals treated with the drug of interest.









TABLE 30







Concentrations of long chain free amino acids measured in deproteinized


brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of


increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated


administration of 15 mg/kg b.w.). Controls are represented by sham-operated animals.


Values are the mean ± S.D. of 12 animals in each group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





VAL
0.07 ± 0.02
0.07 ± 0.01
0.08 ± 0.01
0.08 ± 0.01

custom-character

0.07 ± 0.01


ILE
0.03 ± 0.01
0.03 ± 0.01

custom-character


custom-character


custom-character

0.03 ± 0.01


LEU
0.04 ± 0.01
0.04 ± 0.01

custom-character


custom-character


custom-character

0.04 ± 0.01


LYS
0.23 ± 0.03
0.19 ± 0.03
0.19 ± 0.06
0.21 ± 0.04
0.21 ± 0.05
0.23 ± 0.07









Effects of Increasing Doses of LMW-S on Free Amino Acids Acting as Osmolytes and Aromatic Free Amino Acid


Results summarized in Table 31 clearly show that sTBI caused the increase in the concentrations of taurine (TAU) at 7 days after injury. LMW-DS administration normalized TAU concentrations and caused the increase in aromatic amino acids.









TABLE 31







Concentrations of free amino acids acting as osmolytes and aromatic free amino acids measured in


deproteinized brain homogenates of rats sacrificed at 7 days post-sTBI, without and with administration of


increasing doses of LWM-DS (single administration of 1, 5 and 15 mg/kg b.w. and repeated


administration of 15 mg/kg b.w.). Controls are represented by sham-operated animals.


Values are the mean ± S.D. of 12 animals in each group and are expressed as nmol/g w.w.













Compound
Controls
TBI only
LMW-DS 1
LMW-DS 5
LMW-DS 15
LMW-DS 15-R





HYS
0.05 ± 0.01
0.06 ± 0.01
0.06 ± 0.01
0.06 ± 0.01
0.06 ± 0.01
0.06 ± 0.01


TAU
3.82 ± 0.61
4.36 ± 0.56
4.02 ± 0.51
3.51 ± 0.44
3.38 ± 0.44
3.47 ± 0.44


TYR
0.13 ± 0.03
0.14 ± 0.02
0.13 ± 0.02
0.13 ± 0.02
0.14 ± 0.02
0.14 ± 0.02


TRP
0.02 ± 0.01
0.02 ± 0.01

custom-character

0.02 ± 0.01

custom-character


custom-character



PHE
0.03 ± 0.01
0.04 ± 0.01

custom-character


custom-character


custom-character


custom-character










Discussion


TBI is one of the most common neurodegenerative diseases and represents the leading cause of death under years of age in Western countries. Its incidence is on the rise and by 2020 the World Health Organization estimates that TBI will be the largest cause of disability worldwide. Depending on the severity of the symptoms related to TBI (evaluated by the Glasgow Coma Scale), it is possible to identify three different types of TBI: mild TBI (mTBI), moderate TBI and severe TBI (sTBI). It has been calculated that the ratio in the occurrence of mTBI to sTBI is approximately 22 to 1. Unfortunately, the consequences of a TBI are often invalidating and possibly leading to permanent or temporary impairment of cognitive, physical and psychosocial functions, with an associated diminished or altered state of consciousness. Thus, patients are affected in some important aspects, primarily the ability to be independent, to correctly work and to maintain social relationships.


TBI is considered a complicated pathological process consisting of a primary insult (the impact force acting on the brain tissue) directly inducing a scarcely predictable secondary insult characterized by a cascade of biochemical, metabolic and molecular changes causing profound mitochondrial malfunctioning in cerebral cells. The severity of the damage depends on the impact force acting on the cerebral tissue; in fact, this event induces a stretching of axonal and neuronal fibers, triggering the biochemical and molecular events, which are not simultaneous with the insurgence of clinical symptoms.


To date, there are no satisfying pharmacological treatments capable to decrease mortality and improve recovery of TBI patients. Putative pharmacological treatments are generally tested in their ability to interfere with the neurometabolic cascade triggered by the primary insult, such as the biochemical and molecular alterations occurring to the cerebral tissue metabolism, as well as the vascular and hematic flow changes strictly correlated with tissue damages.


Previous studies have demonstrated a significant correlation between the severity of TBI and energy deficit associated with the increase rate of the anaerobic metabolism, mitochondrial dysfunction, increase production of reactive oxygen (ROS) and nitrogen species (RNS) and enhance in excitatory amino acid release. Moreover, N-acetylated amino acid N-acetylaspartate (NAA) is a reliable surrogate biomarker useful to monitor in vivo the state of the energetic metabolism. Indeed, since mitochondrial NAA biosynthesis has a high indirect energy expenditure, changes in NAA intracerebral concentration are closely related to changes in homeostasis of some parameters related to energy metabolism (ATP, GTP, ADP, AMP, Acetyl-CoA, CoA-SH and NAD+) and to mitochondrial phosphorylating capacity (ATP/ADP).


The study conducted to evaluate the effects of increasing doses of LMW-DS on a large panel of brain metabolites in rats experiencing sTBI at different times post injury evidenced that the administration of this compound produces a general amelioration of cerebral metabolism.


LMW-DS was effective in restoring mitochondrial related energy metabolism, profoundly imbalanced in sTBI animals with no treatment, with positive effects on the concentration of triphosphates purine and pyrimidine nucleotides. Particularly, ATP levels, at 7 days post impact, were only 16% lower than the value of controls, whilst in sTBI rats a 35% decrease was found (Table 21 and FIG. 25). Remarkably, NAA concentration in animals treated with LMW-DS at the same time point was only 16% lower than the value of controls, whilst sTBI animals showed 48% lower values of this compound. This finding once again strongly confirms the strict connection between the homeostasis of NAA and correct mitochondrial energy metabolism, and underlines the importance of pharmacological interventions capable to act positively on mitochondrial functioning.


The general amelioration of brain metabolism produced by LMW-DS administration also involved nicotinic coenzymes and metabolism of free CoA-SH and CoA-SH derivatives. This implies that drug treated animals, notwithstanding submitted to sTBI, had quasi-normal coenzymes to ensure correct oxido-reductive reactions and to allow a good functioning of the TCA cycle.


The aforementioned improvement of brain metabolism certainly contributed to the other remarkable drug effect, i.e., the abolishment of GLU excitotoxicity. Additionally, the drug affected sulphur-containing amino acids. Possibly, this effect might be related to the drug molecule that contains S atoms. Increasing the bioavailability of this atom might have produced a net increase in the biosynthesis of these amino acids, one of them (MET) is crucial in the methylation reaction and in the so called methyl cycle.


Further positive effects recorded in this study were the increase in antioxidants and the decrease of biochemical signatures of oxidative/nitrosative stress in sTBI rats receiving administration of LMW-DS. Even this phenomenon might well be connected with the normalization of mitochondrial functions, since dysfunctional mitochondria are the main intracellular source of both ROS and RNS. Of relevance is that the effects of LMW-DS were more evident at 7 than at 2 days post sTBI. This strongly suggest that the general amelioration of brain metabolism caused by the drug administration is not a transitory phenomenon. Also, it is worth underlining that, under the present experimental conditions, drug effects are often related to the dose administered, even though the repeat administration of 15 mg/kg b.w. was often similar to the single administration of the same dosage. That is, it was not always advantageous to repeat the administration of the drug.


This contradictory result might have the following explanation: 1) it is well known that sTBI induces breakdown of the blood brain barrier (BBB); 2) it is possible that uptake by the brain tissue of LMW-DS is highly favored during period of BBB alterations/breakdown; 3) if the hypothesis in point 2) is correct, then the administration performed at 30 minutes post injury might had occurred when BBB was still open/altered; 4) if the hypotheses of points 2) and 3) are correct, then the administration early post injury, when BBB is still open/altered, might have facilitated the passage of the compound within the cerebral compartment, allowing the drug to elicit its beneficial effects on brain metabolism and functions, including normalization of the BBB; 5) if what reported in point 4) is correct, it means that the administration of 15 mg/kg b.w. of LMW-DS at 30 minutes post sTBlin addition to start brain metabolism normalization, also caused the closure of the BBB so that the second (at 3 days) and the third (at 5 days) drug administrations occurred under unfavorable condition for a further significant passage within the brain compartment, thus limiting the possibility to obtain additional effects with a repeat drug administration protocol.


Example 8

In this study LMW-DS was characterized by profiling in the BioMAP Diversity PLUS panel. The BioMAP® panel consists of human primary cell-based systems designed to model different aspects of the human body in an in vitro format. The 12 systems in the BioMAP® Diversity PLUS panel (Table 32) allow test agent characterization in an unbiased way across a broad set of systems modeling various human disease states. The BioMA®P systems are constructed with one or more primary cell types from healthy human donors, with stimuli, such as cytokines or growth factors, added to capture relevant signaling networks that naturally occur in human tissue or pathological conditions. Vascular biology is modeled in both a Th1 (3C system) and a Th2 (4H system) inflammatory environment, as well as in a Th1 inflammatory state specific to arterial smooth muscle cells (CASM3C system). Additional systems recapitulate aspects of the systemic immune response including monocyte-driven Th1 inflammation (LPS system) or T cell stimulation (SAg system), chronic Th1 inflammation driven by macrophage activation (IMphg system) and the T cell-dependent activation of B cells that occurs in germinal centers (BT system). The BE3C system (Th1) and the BF4T system (Th2) represent airway inflammation of the lung, while the MyoF system models myofibroblast-lung tissue remodeling. Lastly, skin biology is addressed in the KF3CT system modeling Th1 cutaneous inflammation and the HDF3CGF system modeling wound healing.


Each test agent generates a signature BioMAP® profile that is created from the changes in protein biomarker readouts within individual system environments. Biomarker readouts (7-17 per system) are selected for therapeutic and biological relevance, are predictive for disease outcomes or specific drug effects and are validated using agents with known mechanism of action (MoA). Each readout is measured quantitatively by immune-based methods that detect protein, e.g., ELISA, or functional assays that measure proliferation and viability. BioMAP® readouts are diverse and include cell surface receptors, cytokines, chemokines, matrix molecules and enzymes. In total, the BioMAP® Diversity PLUS panel contains 148 biomarker readouts that capture biological changes that occur within the physiological context of the particular BioMAP® system.


Materials and Methods


Four concentrations of LMW-DS (150 nM, 440 nM, 1.3 μM, 4 μM) were investigated in the BioMAP Diversity PLUS panel by Eurofins.


Methods for Diversity PLUS


Human primary cells in BioMAP systems are used at early passage (passage 4 or earlier) to minimize adaptation to cell culture conditions and preserve physiological signaling responses. All cells are from a pool of multiple donors (n=2-6), commercially purchased and handled according to the recommendations of the manufacturers. Human blood derived CD14+ monocytes are differentiated into macrophages in vitro before being added to the /Mphg system. Abbreviations are used as follows: Human umbilical vein endothelial cells (HUVEC), Peripheral blood mononuclear cells (PBMC), Human neonatal dermal fibroblasts (HDFn), B cell receptor (BCR), T cell receptor (TCR) and Toll-like receptor (TLR).


Cell types and stimuli used in each system are as follows: 3C system [HUVEC+(IL-1β, TNFα and IFNγ)], 4H system [HUVEC+(IL-4 and histamine)], LPS system [PBMC and HUVEC+LPS (TLR4 ligand)], SAg system [PBMC and HUVEC+TCR ligands], BT system [CD19+ B cells and PBMC+(α-IgM and TCR ligands)], BF4T system [bronchial epithelial cells and HDFn+(TNFα and IL-4)], BE3C system [bronchial epithelial cells+(IL-1β, TNFα and IFNγ)], CASM3C system [coronary artery smooth muscle cells+(IL-1β, TNFα and IFNγ)], HDF3CGF system [HDFn+(IL-1β, TNFα, IFNγ, EGF, bFGF and PDGF-BB)], KF3CT system [kerainocytes and HDFn+(IL-1β, TNFα, IFNγ and TGFβ)], MyoF system [differentiated lung myofibroblasts+(TNFα and TGFβ)] and /Mphg system [HUVEC and M1 macrophages+Zymosan (TLR2 ligand)].


Systems are derived from either single cell types or co-culture systems. Adherent cell types are cultured in 96 or 384-well plates until confluence, followed by the addition of PBMC (SAg and LPS systems). The BT system consists of CD19+B cells co-cultured with PBMC and stimulated with a BCR activator and low levels of TCR stimulation. Test agents prepared in either DMSO (small molecules; final concentration ≤0.1%) or PBS (biologics) are added at the indicated concentrations 1-hr before stimulation, and remain in culture for 24-hrs or as otherwise indicated (48-hrs, MyoF system; 72-hrs, BT system (soluble readouts); 168-hrs, BT system (secreted IgG)). Each plate contains drug controls (e.g., legacy control test agent colchicine at 1.1 μM), negative controls (e.g., non-stimulated conditions) and vehicle controls (e.g., 0.1% DMSO) appropriate for each system. Direct ELISA is used to measure biomarker levels of cell-associated and cell membrane targets. Soluble factors from supernatants are quantified using either HTRF® detection, bead-based multiplex immunoassay or capture ELISA. Overt adverse effects of test agents on cell proliferation and viability (cytotoxicity) are detected by sulforhodamine B (SRB) staining, for adherent cells, and alamarBlue® reduction for cells in suspension. For proliferation assays, individual cell types are cultured at subconfluence and measured at time points optimized for each system (48-hrs: 3C and CASM3C systems; 72-hrs: BT and HDF3CGF systems; 96-hrs: SAg system). Cytotoxicity for adherent cells is measured by SRB (24-hrs: 3C, 4H, LPS, SAg, BF4T, BE3C, CASM3C, HDF3CGF, KF3CT, and /Mphg systems; 48-hrs: MyoF system), and by alamarBlue staining for cells in suspension (24-hrs: SAg system; 42-hrs: BT system) at the time points indicated.


Data Analysis


Biomarker measurements in a test agent-treated sample are divided by the average of control samples (at least 6 vehicle controls from the same plate) to generate a ratio that is then log10 transformed. Significance prediction envelopes are calculated using historical vehicle control data at a95% confidence interval.


Profile Analysis


Biomarker activities are annotated when 2 or more consecutive concentrations change in the same direction relative to vehicle controls, are outside of the significance envelope and have at least one concentration with an effect size >20% (|log10 ratio|>0.1). Biomarker key activities are described as modulated if these activities increase in some systems, but decrease in others. Cytotoxic conditions are noted when total protein levels decrease by more than 50% (log10 ratio of SRB or alamarBlue levels <−0.3) and are indicated by a thin black arrow above the X-axis. A compound is considered to have broad cytotoxicity when cytotoxicity is detected in 3 or more systems. Concentrations of test agents with detectable broad cytotoxicity are excluded from biomarker activity annotation and downstream benchmarking, similarity search and cluster analysis. Antiproliferative effects are defined by an SRB or alamarBlue log10 ratio value <−0.1 from cells plated at a lower density and are indicated by grey arrows above the X-axis. Cytotoxicity and antiproliferative arrows only require one concentration to meet the indicated threshold for profile annotation.


Benchmark Analysis


Common biomarker readouts are annotated when the readout for both profiles is outside of the significance envelope with an effect size >20% in the same direction. Differentiating biomarkers are annotated when one profile has a readout outside of the significance envelope with an effect size >20%, and the readout for the other profile is either inside the envelope or in the opposite direction. Unless specified, the top non-cytotoxic concentration of both the test agent and benchmark agent are included in the benchmark overlay analysis.


Similarity Analysis


Common biomarker readouts are annotated when the readout for both profiles is outside of the significance envelope with an effect size >20% in the same direction. Concentrations of test agents that have 3 or more detectable systems with cytotoxicity are excluded from similarity analysis. Concentrations of test agents that have 1-2 systems with detectable cytotoxicity will be included in the similarity search analysis, along with an overlay of the database match with the top concentration of the test agent. This will be followed by an additional overlay of the next highest concentration of the test agent containing no systems with detectable cytotoxicity and the respective database match. To determine the extent of similarity between BioMAP® profiles of compounds run in the Diversity PLUS panel, we have developed a custom similarity metric (BioMAP Z-Standard) that is a combinatorial approach that has improved performance in mechanism classification of reference agents compared to other measures tested (including Pearson's and Spearman's correlation coefficients). This approach more effectively accounts for variations in the number of data points, systems, active biomarker readouts and the amplitude of biomarker readout changes that are characteristic features of BioMAP® profiles. A Pearson's correlation coefficient (r) is first generated to measure the linear association between two profiles that is based on the similarity in the direction and magnitude of the relationship. Since the Pearson's correlation can be influenced by the magnitude of any biomarker activity, a per-system weighted average Tanimoto metric is used as a filter to account for underrepresentation of less robust systems. The Tanimoto metric does not consider the amplitude of biomarker activity, but addresses whether the identity and number of readouts are in common on a weighted, per system basis. A real-value Tanimoto metric is calculated first by normalizing each profile to the unit vector






(


e
.
g
.

,

A
=

A


A





)




and then applying the following formula:








A
·
B




A


+


B


-

A
·
B



,




where A and B are the 2 profile vectors. Then, it is incorporated into a system weighted-averaged real-value Tanimoto metric in this calculation:











W
i

·

T
i






W
i



.




The calculation uses the real-value Tanimoto score for each ith system (Ti) and the weight of each ith system (Wi). Wi is calculated for each system in the following formula:







1

1
+

exp


(


-
100

×

(
)


)


l

r

-


0
.
0


9



,




where lr is the largest absolute value of the ratios from the 2 profiles being compared. Based on the optimal performance of reference compounds, profiles are identified as having mechanistically relevant similarity if the Pearson's correlation coefficient (r)≥0.7. Finally, a Fisher r-to-z-transformation is used to calculate a z-score to convert a short tail distribution into a normal distribution as follows:






z
=

0.5


log

1

0






1
+
r


1
-
r


.






Then the BioMAP® Z-Standard, which adjusts for the number of common readouts (CR), is generated according to the following formula: Z-Standard=z·√{square root over (CR−3)}. A larger BioMAP® Z-Standard value corresponds to a higher confidence level, and this is the metric used to rank similarity results.


Cluster Analysis


Cluster analysis (function similarity map) uses the results of pairwise correlation analysis to project the “proximity” of agent profiles from multi-dimensional space into two dimensions. Functional clustering of the agent profiles generated during this analysis uses Pearson correlation values for pairwise comparisons of the profiles for each agent at each concentration, and then subjects the pairwise correlation data to multidimensional scaling. Profiles that are similar with a Pearson's correlation coefficient (r)≥0.7 are connected by lines. Agents that do not duster with one another are interpreted as mechanistically distinct. This analysis is performed for projects with 3 or more agents tested. Cytotoxic concentrations are excluded from cluster analysis.


Mechanism HeatMAP Analysis


Mechanism HeatMAP analysis provides a visualization of the test compound and 19 consensus mechanisms allowing comparison of biomarker activities across all compound concentrations and consensus mechanisms. The synthetic consensus profiles used in the Mechanism HeatMAP analysis are representative BioMAP® profiles of the average of multiple compounds from structurally distinct chemical classes. Profiles were calculated by averaging the values for each biomarker endpoint for all profiles selected (multiple agents at different concentrations) to build the consensus mechanism profile. Biomarker activities are colored in the heatmap for consensus mechanisms and compounds when they have expression relative to vehicle controls outside of the significance envelope. Red represents increased protein expression, blue represents decreased expression and white indicates levels that were unchanged or within filtering conditions. Darker shades of color represent greater change in biomarker activity relative to vehicle control. The Mechanism HeatMAP was prepared using R and the gplots package for R.


Assay Acceptance Criteria


A BioMAP® assay includes the multi-parameter data sets generated by the BioMAP® platform for agents tested in the systems that make up the Diversity PLUS panel. Assays contain drug controls (e.g., legacy control test agent colchicine), negative controls (e.g., non-stimulated conditions), and vehicle controls (e.g., DMSO) appropriate for each system. BioMAP assays are plate-based, and data acceptance criteria depend on both plate performance (% CV of vehicle control wells) and system performance across historical controls for that system. The QA/QC Pearson Test is performed by first establishing the 1% false negative Pearson cutoff from the reference dataset of historical positive controls. The process iterates through every profile of system biomarker readouts in the positive control reference dataset, calculating Pearson values between each profile and the mean of the remaining profiles in the dataset. The overall number of Pearson values used to determine the 1% false negative cutoff is the total number of profiles present in the reference dataset. The Pearson value at the one percentile of all values calculated is the 1% false negative Pearson cutoff. A system will pass if the Pearson value between the experimental plate's negative control or drug control profile and the mean of the historical control profiles in the reference dataset exceeds this 1% false negative Pearson cutoff. Overall assays are accepted when each individual system passes the Pearson test and 95% of all project plates have % CV <20%.


Results


The BioMAP® Diversity PLUS panel contained 12 individual BioMAP human primary cell-based co-culture system as shown in Table 32.









TABLE 32







BioMAP ® Diversity PLUS panel










System
Disease/Tissue
Human cell



name
relevance
types
Biomarker readouts





3C
Cardiovascular
Venular
CCL2/MCP-1, CD106/VCAM-1,



Disease, Chronic
endothelial cells
CD141/Thrombomodulin, CD142/Tissue



Inflammation

Factor, CD54/ICAM-1, CD62E/E-Selectin,





CD87/uPAR, CXCL8/IL-8, CXCL9/MIG,





HLA-DR, Proliferation, SRB


4H
Allergy, Asthma,
Venular
CCL2/MCP-1, CCL26/Eotaxin-3,



Autoimmunity
endothelial cells
CD106/VCAM-1, CD62P/P-Selectin,





CD87/uPAR, SRB, VEGFR2


BE3C
COPD, Lung
Bronchial
CD54/ICAM-1, CD87/uPAR, CXCL10/IP-10,



Inflammation
epithelial cells
CXCL11/I-TAC, CXCL8/IL-8, CXCL9/MIG,





EGFR, HLA-DR, IL-1 α, Keratin 8/18, MMP-1,





MMP-9, PAI-I, SRB, tPA, uPA


BF4T
Allergy, Asthma,
Bronchial
CCL2/MCP-1, CCL26/Eotaxin-3,



Fibrosis, Lung
epithelial cells +
CD106/VCAM-1, CD54/ICAM-1, CD90,



Inflammation
Dermal
CXCL8/IL-8, IL-1 α, Keratin 8/18, MMP-1,




fibroblasts
MMP-3, MMP-9, PAI-I, SRB, tPA, uPA


BT
Allergy, Asthma,
B cells +
B cell Proliferation, PBMC Cytotoxicity,



Autoimmunity,
Peripheral blood
Secreted IgG, sIL-17A, sIL-17F,



Oncology
mononuclear
sIL-2, sIL-6, sTNF-α




cells


CASM3C
Cardiovascular
Coronary artery
CCL24/MCP-1, CD106/VCAM-1,



Inflammation,
smooth muscle
CD141/Thrombomodulin, CD142/Tissue



Restenosis
cells
Factor, CD87/uPAR, CXCL8/IL-8,





CXCL9/MIG, HLA-DR, IL-6, LDLR, M-CSF,





PAI-I, Proliferation, Serum Amyloid A, SRB


HDF3CGF
Chronic
Dermal
CCL2/MCP-1, CD106/VCAM-1, CD54/ICAM-1,



Inflammation,
fibroblasts
Collagen I, Collagen III, CXCL10/IP-10,



Fibrosis

CXCL11/I-TAC, CXCL8/IL-8, CXCL9/MIG,





EGFR, M-CSF, MMP-I, PAI-I,





Proliferation_72 hr, SRB, TIMP-1, TIMP-2


KF3CT
Dermatitis,
Dermal
CCL2/MCP-1, CD54/ICAM-1, CXCL10/IP-10,



Psoriasis
fibroblasts +
CXCL8/IL-8, CXCL9/MIG, IL-1 α, MMP-9,




Keratinocytes
PAI-I, SRB, TIMP-2, uPA


LPS
Cardiovascular
Peripheral blood
CCL2/MCP-1, CD106/VCAM-1,



Disease, Chronic
mononuclear
CD141/Thrombomodulin, CD142/Tissue



Inflammation
cells + Venular
Factor, CD40, CD62E/E-Selectin, CD69,




endothelial cells
CXCL8/IL-8, IL-1 α, M-CSF, sPGE2, SRB,





sTNF-α


MyoF
Chronic
Lung fibroblasts
bFGF, CD106/VCAM-1, Collagen I, Collagen III,



Inflammation,

Collagen IV, CXCL8/IL-8, Decorin, MMP-1,



Fibrosis, Matrix

PAI-I, SRB, TIMP-I, α-SM Actin



Remodeling,



Wound Healing


SAg
Autoimmune
Peripheral blood
CCL2/MCP-1, CD38, CD40, CD62E/E-



Disease, Chronic
mononuclear
Selectin, CD69, CXCL8/IL-8, CXCL9/MIG,



Inflammation
cells + Venular
PBMC Cytotoxicity, Proliferation, SRB




endothelial cells


/Mphg
Cardiovascular
Macrophages +
CCL2/MCP-1, CCL3/MIP-1 α, CD106/VCAM-1,



Disease, Chronic
Venular
CD40, CD62E/E-Selectin, CD69,



Inflammation,
endothelial cells
CXCL8/IL8, IL-1 α, M-CSF, sIL-10, SRB,



Restenosis

SRB-Mphg









Biomarker activities were annotated when two or more consecutive concentrations changed in the same direction relative to vehicle controls, were outside of the 95% significance envelope, and had at least one concentration with an effect size >20% (|log10 ratio|>0.1). Biomarker key activities were described as modulated if these activities increased in some systems, but decreased in others.


LMW-DS was active with 25 annotated readouts. LMW-DS was not cytotoxic for any of the human primary cells at the concentrations tested in this study. LMW-DS mediated changes in key biomarker activities included inflammation-related activities in the form of decreased vascular cell adhesion molecule 1 (VCAM-1), monocyte chemoattractant protein-1 (MCP-1), soluble tumor necrosis factor alpha (sTNFα), interferon-inducible Tcell apha chemoattractant (I-TAC), monokine induced by gamma interferon (MIG), and interferon gamma-induced protein 10 (IP-10) and increased Eotaxin 3 (Eot3), and interleukin 8 (IL-8). LMW-DS also had immunomodulatory activities in the form of decreased secreted immunoglobulin G (sIgG) and macrophage colony-stimulating factor (M-CSF) and increased soluble IL-17A (sIL-17A), and duster of differentiation 69 (CD69). LMW-DS also showed tissue remodeling activities in the form of increased matrix metalloproteinase-1 (MMP-1), plasminogen activator inhibitor-1 (PAI-1), urokinase plasminogen activator receptor (uPAR) and epidermal growth factor receptor (EGFR), and hemostasis-related activities in the form of increased thrombomodulin (TM). Table 33 summaries the effects of LMW-DS on the 12 different human primary cells in the BioMAP® Diversity PLUS panel.









TABLE 33







Summary of BioMAP ® Diversity PLUS results












Increased
Decreased




biomarker
biomarker



Cell system
activity
activity







3C
IL-8




4H
uPAR



LPS
IL-8
sTNFα



SAg
IL-8



BT
sIL-17A
sIgG, sIL-17F



BF4T
Eot3



BE3C



CASM3C
TM
VCAM-1, MIG



HDF3CGF
EGFR, MMP-1,
VCAM-1, IP-10,




PAI-1
ITAC, MIG, M-CSF



KF3CT
IL-8
MCP-1



MyoF
IL-8



/Mphg
IL-8, CD69










The BioMAP® Reference Database contains >4,500 BioMAP® profiles of bioactive agents (biologics, approved drugs, chemicals and experimental agents) and can be used to classify and identify the most similar profiles.


In an unsupervised search for mathematically similar compound profiles from the BioMAP® Reference Database, LMW-DS (4 M) is most similar to clexane (30 μg/ml) (Pearson's correlation coefficient, r=0.701). Clexane (enoxaparin sodium) is a low molecular weight heparin that is an anticoagulant used to treat deep vein thrombosis (DVT). There are five common activities that are annotated within the following systems: BT (sIgG, sIL-17A), CASM3C (MIG), and HDF3CGF (VCAM-1, IP-10).


Discussion


In study LMW-DS was characterized by profiling in the BioMAP® Diversity PLUS panel of human primary cell-based assays modeling complex tissue and disease biology of organs (vasculature, immune system, skin, lung) and general tissue biology. The BioMAP Diversity PLUS panel evaluated the biological impact of LMW-DS in conditions that preserve the complex crosstalk and feedback mechanisms that are relevant to in vivo outcomes.


LMW-DS was active and noncytotoxic at the concentrations tested in this study. LMW-DS was modestly and selectively antiproliferative to human primary endothelial cells at the top concentration only (4 μM). LMW-DS profiles had 25 annotated readouts indicating modulation of immune and inflammation-related readouts as well as matrix related biomarkers. Specific activities included decreased inflammation-related VCAM-1, MCP-1, sTNFα, 1-TAC, MIG, and IP-10 as well as increased IL-8. Modestly increased Eotaxin-3 was observed in the BF4T system at the lower concentrations only. Immunomodulatory activities included decreased sIgG and IL-17A and IL-17F in the BT system, but without any antiproliferative effects on B cells. Decreased M-CSF and increased CD69 were also identified. LMW-DS also modulated tissue remodeling biomarkers including increased MMP-1, PAI-1, uPAR, EGFR, and the hemostasis-related TM. Key inflammation biomarkers including MIG, VCAM, IP-10 and ITAC were decreased over all tested concentrations in the CASM3C and HDF3CGF systems, while an increase in the chemotactic factor IL-8 was noted in multiple systems. Together these data indicate that LMW-DS plays a role in regulating immune activation and/or immune resolution responses in the context of inflammation and wound healing biology.


The modulations of the inflammatory markers indicate utility of LMW-DS in treating multiple chronic and acute inflammatory conditions and diseases including inflammatory components, such as ALS.


Initially after injury, the innate/proinflammatory response and selected components of the acquired immune response are up-regulated to maintain a defense against foreign pathogens, clear tissue debris present at the injury site, and orchestrate tissue remodeling, cell proliferation and angiogenic processes associated with the wound response. However, for proper wound healing to progress, this initial inflammatory response has to be regulated or shut down so as to allow for the reestablishment of matrix, recellularization and tissue remodeling. Such immune resolving activities were induced by LMW-DS, including activation of MMP-1, PAR-1 and uPAR, indicating an induced immune resolution having utility in treating tissue damaged by trauma, including neurotrauma, which otherwise would result in deleterious fibrosis formation.


LMW-DS modulated a lot of biomarker activities in the HDF3CGF system but merely IL-8 in the MyoF system. Both systems include fibroblasts but HDF3CGF models wound healing and matrix remodeling in connection with such wound healing, whereas MyoF is more a fibrosis model of collagen deposition. The results thereby indicate that LMW-DS had immunomodulatory and tissue remodeling activities but without inducing undesired collagen fibrosis, which could result in deleterious fibrosis deposition.


In conclusion, LMW-DS seems to normalize and resolve the inflammation present in tissue after trauma or a disease and these results are thereby consistent with the effects of LMW-DS seen in foregoing Examples.


Example 9

The aim of this Example was to determine the neuroprotective effects of different doses of LMW-DS (1, 5 and 15 mg/kg) in sTBI using gene expression studies followed by functional analysis of the differentially regulated genes.


Materials and Methods


Induction of sTBI and Drug Administration Protocol


The experimental protocol used in this study was approved by the Ethical Committee of the Catholic University of Rome, according to international standards and guidelines for animal care. Male Wistar rats of 300-350 g body weight were fed with standard laboratory diet and water ad libitum in a controlled environment. As the anesthetic mixture, the animals received 35 mg/kg b.w. ketamine and 0.25 mg/kg body weight midazolam by i.p. injection. Severe traumatic brain injury (sTBI) was induced by dropping a 450 g weight from 2 m height on to the rat head that had been protected by a metal disk previously fixed on the skull, according to the “weight drop” impact acceleration model (Marmarou et al., A new model of diffuse brain injury in rats. Part I: Pathophysiology and biomechanics. J Neurosurg. 1994; 80: 291-300). Rats that suffered from skull fracture, seizures, nasal bleeding, or did not survive the impacts, were excluded from the study. At the end of each period of treatment, rats were anesthetized again and then immediately sacrificed.


Test Compound


LMW-DS (Tikomed AB) was provided at a stock concentration of 20 mg/ml and was kept in a temperature-monitored refrigerator at 4° C. LMW-DS aliquots were diluted to the appropriate dosing concentration in sterile saline prior to delivery of a single subcutaneous injection.


Acute Phase—1


Three doses of LMW-DS were administered subcutaneously 30 minutes post-TBI. The animals were sacrificed at 2 days post-TBI. The animals were divided into the following subgroups:


1. n=4 animals subjected to sTBI and receiving a subcutaneous injection of 0.5 ml of LMW-DS at a concentration of 15 mg/kg


2. n=4 animals subjected to sTBI and receiving a subcutaneous injection of 0.5 ml of LMW-DS at a concentration of 5 mg/kg


3. n=4 animals subjected to sTBI and receiving a subcutaneous injection of 0.5 ml of LMW-DS at a concentration of 1 mg/kg


Acute Phase—2


Three doses of LMW-DS were administered subcutaneously 30 minutes post-TBI. The animals were sacrificed at 7 days post-TBI. The animals were divided into the following subgroups:


4. n=4 animals subjected to sTBI and receiving a subcutaneous injection of 0.5 ml of LMW-DS at a concentration of 15 mg/kg


5. n=4 animals subjected to sTBI and receiving a subcutaneous injection of 0.5 ml of LMW-DS at a concentration of 5 mg/kg


6. n=4 animals subjected to sTBI and receiving a subcutaneous injection of 0.5 ml of LMW-DS at a concentration of 1 mg/kg


7. n=4 animals subjected to sTBI and receiving three repeated subcutaneous injections of 0.5 ml of LMW-DS at a concentration of 15 mg/kg


sTBI—No Treatment


8. n=4 animals subjected to sTBI only and sacrificed at 2 days post-TBI


9. n=4 animals subjected to sTBI only and sacrificed at 7 days post-TBI


Sham Operated (Healthy Control)


10. n=4 animals receiving anesthesia only.


Cerebral Tissue Processing


An in vivo craniectomy was performed on all animals during anesthesia After carefully removing the rats skull, the brain was exposed and removed with a surgical spatula and quickly dropped in RNALater and preserved at 4° C. for further processing.


RNA Extraction and Array Analysis


RNA extraction and array processing was carried out by SourceBioscience. The arrays used were the Agilent Rat expression arrays.


Statistical Analysis


Statistical analysis was performed to quantitate the effect of sTBI on the brain in this model. The follow-on analyses looked at the effects of LMW-DS in this model using different iterations and algorithms. Statistical analysis was carried out using the Metaboanalyst software package. Gene expression changes of 10% with a p<0.05 were regarded as significant


Results


Differential Gene Expression Seen 2 Days after sTBI


Within 2 days of sTBI the brain gene expression changes significantly with a relatively small number of genes (221) up and downregulated.


The administration of 1 mg/kg LMW-DS within 30 minutes after injury altered the TBI-specific gene expression in 372 genes, the administration of 5 mg/kg LMW-DS within 30 minutes after TBI altered the TBI-specific gene expression in 702 genes and the administration of 15 mg/kg within 30 minutes after TBI alters the TBI-specific gene expression in 247 genes within 2 days of sTBI.


The LMW-DS treated animals differed from the healthy controls in the expression of 209 genes (1 mg/kg LMW-DS), 258 genes (5 mg/kg LMW-DS) and 47 genes (15 mg/kg LMW-DS).


Differential Gene Expression Seen 7 Days after sTBI


Within 7 days of sTBI the brain gene expression changes significantly with a large number of genes (2739) up and downregulated.


The administration of 1 mg/kg LMW-DS within 30 minutes after injury altered the TBI-specific gene expression in 3602 genes, the administration of 5 mg/kg LMW-DS within 30 minutes after TBI altered the TBI-specific gene expression in 3852 genes and the administration of 15 mg/kg within 30 minutes after TBI alters the TBI-specific gene expression in 3901 genes within 7 days of sTBI.


The LMW-DS treated animals differed from the healthy controls in the expression of 282 genes (1 mg/kg LMW-DS), 398 genes (5 mg/kg LMW-DS) and 158 genes (15 mg/kg LMW-DS). The LMW-DS treated animals (3 repeated doses of 15 mg/kg LMW-DS) differed from the healthy controls in the expression of 234 genes.


Comparison Analysis of Expression Changes Seen with LMW-DS


The comparison of the significantly affected genes in different statistical iterations provided information on how LMW-DS changed the TBI induced gene expression.


The comparison for 2 days post-TBI indicated that from the 221 genes deregulated by TBI (2 days) only 22 (10%), 51 (23%) and 19 (8.5%) remained deregulated relative to healthy control animals when 1 mg/kg, 5 mg/kg and 15 mg/kg LMW-DS was given, respectively.


The comparison for 7 days post-TBI indicated that from the 2741 genes deregulated by TBI (7 days) only 124 (4.5%), 169 (6.1%) and 85 (3.1%) remained deregulated relative to healthy control animals when 1 mg/kg, 5 mg/kg and 15 mg/kg LMW-DS was given, respectively. The remaining number of deregulated genes relative healthy animals for the 3 repeated doses of 15 mg/kg LMW-DS relative to healthy control animals were 116 (4.25%).


Pathway Analysis and Mechanistic Studies


Pathway analysis of the differentially regulated genes was carried out using the Ingenuity pathway analysis package. The analysis was performed with special reference to pathways and molecular processes and diseases associated with neurodegenerative disease, including dementia, Alzheimer's disease, ALS, TBI and stroke, and with scarring and fibrosis, including glaucoma and normal pressure hydrocephalus (NPH) after subarachnoid haemorrhage.


Although the effects induced by TBI within 2 days were relatively small, the alterations in many neurodegeneration and scaring-related canonical pathways were significant Most of these pathway alterations were counteracted by LMW-DS given within 30 minutes of the TBI (Table 34 and 35). Similar to the pathways, the number of significantly affected molecular processes and diseases within 2 days of TBI was modest. However, the effect of TBI was mostly abolished by LMW-DS given 30 minutes after the injury (Table 36 and 37).









TABLE 34







Canonical pathways affected by TBI after 2 days and the effects


of LMW-DS relative to control (p values and z scores)















Canonical







Canonical
pathways







pathways
affected







affected in
in scar







dementia and
formation

TBI + 1
TBI + 5
TBI + 15


Ingenuity Canonical
neurodegenerative
and fibrosis

mg/kg
mg/kg
mg/kg


Pathways
disease (p value)
(p value)
TBI
LMW-DS
LMW-DS
LMW-DS
















Dendritic Cell
10.5
33.6
−1
*




Maturation








Role of NFAT in
5.53
15.1
−0.447
0.378




Regulation of the








Immune Response








Osteoarthritis Pathway
17.6
43.2
0.447
−1.342
−2.646



Role of NFAT in
18.1
16.1
0.447

−1.633



Cardiac Hypertrophy








NF-kB Signaling
8.97
36.4
0.447

−2



Ephrin B Signaling

4
1





RhoA Signaling

2.58
1





Endothelin-1 Signaling
12.2
14.1
1.633
*




IL-1 Signaling
3.22
7.14
2
−1




Axonal Guidance
11
17.3
*





Signaling








CREB Signaling in
17.8
3.94
*





Neurons








Phospholipase C
4.22
11.6
*





Signaling








Role of Osteoblasts,
8.77
47.7
*





Osteoclasts and








Chondrocytes in








Rheumatoid Arthritis








Thrombin Signaling
3.11
10.2
*





Hepatic Fibrosis/
15.1
68.7
*





Hepatic Stellate Cell








Activation








Fey Receptor-mediated
7.62
6.87
*





Phagocytosis in








Macrophages and








Monocytes








VDR/RXR Activation
4.65
10.2
*





Role of Wnt/GSK-3p


*





Signaling in the








Pathogenesis of








Influenza








Calcium-induced T
3.2
4.29
*





Lymphocyte Apoptosis








Antioxidant Action of
6.6
8.13
*





Vitamin C








Phospholipases

1.76
*





Cdc42 Signaling

1.97
*





Role of Pattern
11.6
28.6
*





Recognition Receptors








in Recognition of








Bacteria and Viruses








Hepatic Cholestasis
12.5
24.6
*





Neuroprotective Role of
7.23
1.73
*





THOP1 in Alzheimer's








Disease








Type I Diabetes Mellitus
6.73
24.6
*





Signaling








Nur77 Signaling in T
1.41
3.45
*





Lymphocytes








Cytotoxic T
2.73
2.21
*





Lymphocyte-mediated








Apoptosis of Target








Cells








Th2 Pathway
5.34
28.9
*





Toll-like Receptor
4.77
16.8
*





Signaling








Choline Biosynthesis III

1.33
*





DNA Methylation and


*





Transcriptional








Repression Signaling








T Helper Cell
4.27
28.4
*





Differentiation








Role of Cytokines in
3.44
17.2
*





Mediating








Communication








between Immune Cells








iCOS-iCOSL Signaling
3.52
17.3
*





in T Helper Cells








Allograft Rejection

5.54
*





Signaling








Autoimmune Thyroid

8.75
*





Disease Signaling








Graft-versus-Host
1.8
6.77
*





Disease Signaling








Communication
4.99
14.2
*





between Innate and








Adaptive Immune Cells








Crosstalk between
5.34
14.8
*





Dendritic Cells and








Natural Killer Cells








Systemic Lupus
9.46
13.3
*





Erythematosus








Signaling








Altered T Cell and B
4.04
22.5
*





Cell Signaling in








Rheumatoid Arthritis








Role of
5.07
10.7
*





Hypercytokinemia/hyper








chemokinemia in the








Pathogenesis of








Influenza








O × 40 Signaling
1.86
3.25
*





Pathway








Hematopoiesis from
3.84
12.4
*





Pluripotent Stem Cells








Antigen Presentation
1.69
1.29
*





Pathway








Adrenomedullin
10.4

*
*
−2.236



Signaling pathway











* ambiguous effect













TABLE 35







Canonical pathways affected by TBI after 2 days and the effects of LMW-DS















Canonical







Canonical
pathways







pathways
affected







affected in
in scar







dementia and
formation

TBI + 1
TBI + 5
TBI + 15


Ingenuity Canonical
neurodegenerative
and fibrosis

mg/kg
mg/kg
mg/kg


Pathways
disease (p value)
(p value)
TBI
LMW-DS
LMW-DS
LMW-DS





Dendritic Cell
sign affected
sign
Inhibited
*




Maturation

affected






Role of NFAT in
sign affected
sign
Inhibited
Activated




Regulation of the

affected






Immune Response








Osteoarthritis Pathway
sign affected
sign
Activated
Inhibited
Inhibited





affected






Role of NFAT in
sign affected
sign
Activated

Inhibited



Cardiac Hypertrophy

affected






NF-kB Signaling
sign affected
sign
Activated

Inhibited





affected






Ephrin B Signaling

sign
Activated







affected






RhoA Signaling

sign
Activated







affected






Endothelin-1 Signaling
sign affected
sign
Activated
*






affected






IL-1 Signaling
sign affected
sign
Activated
Inhibited






affected






Axonal Guidance
sign affected
sign
*





Signaling

affected






CREB Signaling in
sign affected
sign
*





Neurons

affected






Phospholipase C
sign affected
sign
*





Signaling

affected






Role of Osteoblasts,
sign affected
sign
*





Osteoclasts and

affected






Chondrocytes in








Rheumatoid Arthritis








Thrombin Signaling
sign affected
sign
*







affected






Hepatic Fibrosis/
sign affected
sign
*





Hepatic Stellate Cell

affected






Activation








Fey Receptor-mediated
sign affected
sign
*





Phagocytosis in

affected






Macrophages and








Monocytes








VDR/RXR Activation
sign affected
sign
*







affected






Role of Wnt/GSK-3B


*





Signaling in the








Pathogenesis of








Influenza








Calcium-induced T
sign affected
sign
*





Lymphocyte Apoptosis

affected






Antioxidant Action of
sign affected
sign
*





Vitamin C

affected






Phospholipases

sign
*







affected






Cdc42 Signaling

sign
*







affected






Role of Pattern
sign affected
sign
*





Recognition Receptors

affected






in Recognition of








Bacteria and Viruses








Hepatic Cholestasis
sign affected
sign
*







affected






Neuroprotective Role of
sign affected
sign
*





THOP1 in Alzheimer's

affected






Disease








Type I Diabetes Mellitus
sign affected
sign
*





Signaling

affected






Nur77 Signaling in T
sign affected
sign
*





Lymphocytes

affected






Cytotoxic T
sign affected
sign
*





Lymphocyte-mediated

affected






Apoptosis of Target








Cells








Th2 Pathway
sign affected
sign
*







affected






Toll-like Receptor
sign affected
sign
*





Signaling

affected






Choline Biosynthesis III

sign
*







affected






DNA Methylation and


*





Transcriptional








Repression Signaling








T Helper Cell
sign affected
sign
*





Differentiation

affected






Role of Cytokines in
sign affected
sign
*





Mediating

affected






Communication








between Immune Cells








iCOS-iCOSL Signaling
sign affected
sign
*





in T Helper Cells

affected






Allograft Rejection

sign
*





Signaling

affected






Autoimmune Thyroid

sign
*





Disease Signaling

affected






Graft-versus-Host
sign affected
sign
*





Disease Signaling

affected






Communication
sign affected
sign
*





between Innate and

affected






Adaptive Immune Cells








Crosstalk between
sign affected
sign
*





Dendritic Cells and

affected






Natural Killer Cells








Systemic Lupus
sign affected
sign
*





Erythematosus

affected






Signaling








Altered T Cell and B
sign affected
sign
*





Cell Signaling in

affected






Rheumatoid Arthritis








Role of
sign affected
sign
*





Hypercytokinemia/hyper

affected






chemokinemia in the








Pathogenesis of








Influenza








O × Signaling
sign affected
sign
*





Pathway

affected






Hematopoiesis from
sign affected
sign
*





Pluripotent Stem Cells

affected






Antigen Presentation
sign affected
sign
*





Pathway

affected






Adrenomedullin
sign affected

*
*
Inhibited



Signaling pathway





* ambiguous effect













TABLE 36







Diseases and molecular functions affected by TBI after


2 days and the effects of LMW-DS (P values and z scores)














Diseases and
Diseases and







functions
functions







affected in
affected in







dementia and
fibrosis and

TBI + 1
TBI + 5
TBI + 15


Diseases of functions
neurodegeneration
scarring

mg/kg
mg/kg
mg/kg


annotation
(p value)
(p value)
TBI
LMW-DS
LMW-DS
LMW-DS
















MAPKKK cascade


−2.236





Apoptosis of tumor cell lines
4.41E−93 
5.28E−155
−2.077


0.09


Abdominal carcinoma


−1.98
−1.715
−2.631



Carcinoma


−1.941
−0.127
−2.071



Synthesis of cyclic AMP


−1.794





Cell death of tumor cell lines
3.79E−88 
5.76E−159
−1.705

−1.947



Survival of organism
1.39E−73 
 3.6E−208
−1.599
−0.095




Paired-pulse facilitation


−1.4





Resorption of bone


−1.353

−0.478



Proliferation of hematopoietic


−1.331

−2.951



progenitor cells








Epithelial neoplasm


−1.223

−1.393



Cytostasis of tumor cell lines


−1.2





Self-renewal of cells


−1.199





Digestive system cancer


−1.131

−2.221



Cell proliferation of leukocyte


−1.083

−2.754



cell lines








Paired-pulse facilitation of


−1





synapse








Osteoclastogenesis of bone


−1





cells








Development of connective

1.1E−76 
−0.973
−0.332




tissue cells








Binding of tumor cell lines

2.44E−75 
−0.957
2.397




T cell development

4.12E−88 
−0.928





Tumorigenesis of tissue


−0.885





Growth of lymphoid organ


−0.881





Lymphopoiesis

5.45E−106
−0.874
0.583
−3.105



Lymphocyte homeostasis

6.36E−90 
−0.855

−2.94



Hypersensitive reaction

1.77E−82 
−0.832





Behavior
7.65E−146

−0.793
1.334
−2.009
−0.139


Proliferation of bone marrow


−0.762





cell lines








Necrosis
3.13E−153
1.37E−251
−0.719
−0.361
−1.503
−0.477


Proliferation of blood cells
4.3E−57
4.19E−154
−0.687
−1.083




Feeding


−0.668

−0.895



Digestive organ tumor


−0.666
−0.604
−1.149



Non-hematologic malignant


−0.63
−0.243




neoplasm








Analgesia


−0.587





Abdominal cancer


−0.57
−1.538
−2.553



Differentiation of T


−0.568





lymphocytes








Proliferation of lymphatic
4.71E−58 
2.05E−141
−0.559
−1.112




system cells








Proliferation of thymocytes


−0.555





Cell movement of tumor cells


−0.555





Protein kinase cascade


−0.412





Hepatic injury
2.69E−66 

−0.339





Leukopoiesis

4.76E−137
−0.296
1.185
−3.549



Development of


−0.295





hematopoietic progenitor cells








Regeneration of neurons


−0.277





Quantity of neuroglia


−0.277

−1.446



Experimentally-induced


−0.262
−0.816




arthritis








Proliferation of lymphocytes
2.25E−52 
1.05E−119
−0.244
−0.852




Differentiation of


−0.223
0.487




hematopoietic progenitor cells








Cell proliferation of T

6.09E−108
−0.211
−1.097




lymphocytes








Place preference


−0.192





Non-hematological solid


−0.167





tumor








Adhesion of tumor cell lines


−0.093
2.074




Inflammation of joint
3.04E−121
4.99E−137
−0.079
−0.053




Rheumatic Disease
1.08E−145
7.12E−183
−0.079
−0.053




Hematopoiesis of bone


−0.07





marrow cells








Hematologic cancer
1.05E−92 
2.16E−115
−0.063

−1.067



Thrombus


−0.042
1




Apoptosis
7.51E−135
1.07E−244
−0.011
−0.337
0.601
−0.502


Non-melanoma solid tumor


−0.001

−1.249



Formation of osteoclasts


Ambiguous








effect





Atelectasis


*





Quantity of osteoblasts


*





Development of

8.45E−77 
0.026





hematopoietic system








Quantity of lymphocytes

7.81E−128
0.042


−0.943


Cell death of blood cells
5.88E−70 
3.48E−151
0.045
1.082




Development of cytoplasm


0.066





Hematopoiesis of


0.083





hematopoietic progenitor cells








Cell death of leukemia cell


0.084





lines








Concentration of


0.119

−0.911



prostaglandin








Polyarthritis


0.133





Cell death
6.48E−155
3.74E−254
0.142
−0.793
0.051
−0.141


Memory deficits


0.152





Differentiation of adipocytes


0.168





Interaction of lymphocytes


0.186





Binding of lymphocytes


0.186





Cellular homeostasis
1.04E−117
1.56E−154
0.202
0.19
−3.19



Incidence of tumor


0.21
−1.131
−0.731



Quantity of lymphatic system

1.35E−136
0.219
−0.701




cells








Cell death of immune cells
4.29E−72 
1.75E−147
0.225
1.001
−1



Locomotion
1.34E−66 

0.239

−0.039



Hematopoiesis of bone


0.265





marrow








Differentiation of connective
1.6E−52 
3.39E−143
0.278
0.73




tissue cells








Cell death of antigen


0.306

−0.62



presenting cells








Differentiation of osteoclasts


0.339
−0.223




Lymphatic system tumor
4.79E−88 

0.339





Neoplasia of leukocytes
5.5E−88
1.29E−149
0.339

−0.48



Lymphoid cancer
1.85E−77 
1.81E−114
0.339





Lymphocytic neoplasm
2.2E−82
4.25E−139
0.339

−0.48



Lymphocytic cancer
3.97E−73 

0.339

−0.48



Lymphoproliferative disorder
2.49E−83 
1.95E−104
0.339

−0.48



Release of Ca2+


0.342





Interaction of mononuclear


0.343
1.626




leukocytes








Binding of mononuclear


0.343





leukocytes








Concentration of fatty acid


0.395





Edema
2.05E−71 
6.78E−82 
0.447

3.386



Quantity of osteoclasts


0.447





Quantity of epithelial tissue


0.447

−0.028



Differentiation of bone cells

1.39E−102
0.463
−0.341




Malignant solid tumor


0.475
−0.562
−1.492



Chemotaxis of tumor cell lines


0.495





Quantity of amino acids


0.516





Quantity of bone cells


0.537





Quantity of mononuclear

1.1E−133
0.539





leukocytes








Formation of reactive oxygen


0.555





species








Quantity of blood cells
8.73E−61 
1.92E−184
0.62
−1.479

−0.34


Quantity of connective tissue

3.02E−74 
0.622
0.637




cells








Abdominal neoplasm


0.628
−0.154
−0.927



Release of metal


0.647





Angiogenesis of


0.689





extraembryonic tissue








Development of


0.689





extraembryonic tissue








Hematopoietic neoplasm
2.37E−95 

0.692





Quantity of connective tissue

4.84E−113
0.702





Concentration of eicosanoid


0.734





Binding of breast cancer cell


0.747





lines








Damage of liver
7.95E−76 
4.11E−168
0.784





Quantity of leukocytes
7.27E−55 
1.75E−172
0.803
−1.163




Size of body


0.813

−4.771



Cell movement of breast

1.15E−73 
0.836





cancer cell lines








Formation of muscle cells


0.842





Migration of breast cell lines


0.849





Vascularization

1.92E−105
0.881





Vasculogenesis
3.63E−68 
6.72E−185
0.894

−2.274



Release of prostaglandin E2


0.911





Cell proliferation of lymphoma


0.97





cell lines








Aggregation of blood cells


0.976





Activation of endothelial cells


1





Cell movement of cervical


1.009





cancer cell lines








Cell survival
1.22E−94 
4.03E−184
1.01





Attachment of cells


1.041





Inflammation of organ
1.21E−228
*
1.041
−1.295




Transcription of DNA


1.044





Metastasis of carcinoma cell


1.067





lines








Fusion of muscle cells


1.091





Aggregation of cells

1.14E−83 
1.104





Formation of muscle


1.107





Vascularization of eye


1.109





Differentiation of muscle cell


1.117





lines








Quantity of cells
2.72E−102
2.87E−233
1.121
−0.765
−3.092
−0.797


Quantity of bone


1.159
−1.985




Cell movement of breast cell


1.172





lines








Activation of T lymphocytes


1.193





Activation of lymphocytes


1.221
−1.158




Activation of blood cells
1.69E−56 
3.43E−146
1.258
0.086




Quantity of phagocytes

 4.3E−140
1.289
−2.061




Aggregation of blood platelets


1.299





Development of vasculature
1.8E−77
1.84E−221
1.299

−1.534



Solid tumor


1.31
−0.186




Extracranial solid tumor


1.311
0.056
−0.992



Cancer


1.318





Activation of leukocytes
2.75E−57 
5.84E−135
1.325
0.086




G1 phase of tumor cell lines


1.342





Myelopoiesis of bone marrow


1.342





Cell-mediated response


1.387





Interaction of protein


1.4





Chemotaxis

4.9E−120
1.425

−3.642



Cell movement of epithelial


1.446





cell lines








Fusion of cells


1.446





G1/S phase transition


1.455





Apoptosis of muscle cells

2.49E−119
1.467
0.041




Pelvic tumor
1.81E−59 

1.491
−0.651




Transcription of RNA

2.71E−75 
1.519

−2.488



Transcription

3.3E−92
1.537





G1 phase

6.31E−76 
1.609





Migration of brain cells


1.616





Activation of cells
3.66E−78 
6.43E−190
1.629
0.836




Proliferation of leukemia cell

5.94E−78 
1.662





lines








Migration of neurons


1.676





Neovascularization of eye


1.677





Apoptosis of stem cells


1.686





Leukocyte migration
1.46E−79 
3.36E−205
1.694
1.296
−2.163



Expression of RNA

5.44E−90 
1.78





Necrosis of muscle
3.34E−54 
1.37E−133
1.792





Cell movement of tumor cell
1.17E−69 
1.12E−156
1.812

−2.078



lines








Interphase

1.99E−94 
1.823





Growth of tumor
2.27E−68 
2.81E−193
1.937

−1.233



Genital tumor
1.07E−52 

1.981
0.13




Attachment of tumor cell lines


1.982





Adipogenesis of connective


1.982





tissue








Quantity of IL-6 in blood


1.982





Quantity of TN Fin blood


2





Inflammation of body cavity
 6.8E−184
*
2.004
−1.757




Inflammation of absolute
1.33E−208
*
2.016
−1.359




anatomical region








Cell movement
1.08E−108
5.26E−246
2.142
1.948
−3.723



Metabolism of hormone


2.185

−1.632



Synthesis of hormone


2.185
0.977
−1.632



Migration of cells
6.76E−103
4.26E−241
2.188
2.093
−3.087



Cell movement of vascular


2.213
−0.588




smooth muscle cells








Inflammatory response
2.02E−74 
9.77E−181
2.246
1.159




Secretion of molecule
1.66E−75 

2.281

1.634



Cell movement of muscle

6.73E−75 
2.393
−0.26




cells








Transport of molecule
1.58E−117

2.597
2.421
0.248





* ambiguous effect













TABLE 37







Diseases and molecular functions affected by TBI after 2 days and the effects of LMW-DS














Diseases and
Diseases and







functions
functions



affected in
affected in


Diseases or
dementia and
fibrosis and

TBI + 1
TBI + 5
TBI + 15


functions
neurodegeneration
scarring
Effect
mg/kg
mg/kg
mg/kg


annotation
(p value)
(p value)
TBI
LMW-DS
LMW-DS
LMW-DS





MAPKKK cascade


Inhibited





Apoptosis of tumor
4.41E−93
5.28E−155
Inhibited


Activated


cell lines


Abdominal carcinoma


Inhibited
Inhibited
Inhibited


Carcinoma


Inhibited
Inhibited
Inhibited


Synthesis of cyclic AMP


Inhibited


Cell death of tumor
3.79E−88
5.76E−159
Inhibited

Inhibited


cell lines


Survival of organism
1.39E−73
 3.6E−208
Inhibited
Inhibited


Paired-pulse facilitation


Inhibited


Resorption of bone


Inhibited

Inhibited


Proliferation of


Inhibited

Inhibited


hematopoietic


progenitor cells


Epithelial neoplasm


Inhibited

Inhibited


Cytostasis of tumor


Inhibited


cell lines


Self-renewal of cells


Inhibited


Digestive system cancer


Inhibited

Inhibited


Cell proliferation of


Inhibited

Inhibited


leukocyte cell lines


Paired-pulse facilitation


Inhibited


of synapse


Osteoclastogenesis of


Inhibited


bone cells


Development of

1.1E−76
Inhibited
Inhibited


connective tissue cells


Binding of tumor

2.44E−75 
Inhibited
Activated


cell lines


T cell development

4.12E−88 
Inhibited


Tumorigenesis of tissue


Inhibited


Growth of lymphoid


Inhibited


organ


Lymphopoiesis

5.45E−106
Inhibited
Activated
Inhibited


Lymphocyte

6.36E−90 
Inhibited

Inhibited


homeostasis


Hypersensitive

1.77E−82 
Inhibited


reaction


Behavior
 7.65E−146

Inhibited
Activated
Inhibited
Inhibited


Proliferation of bone


Inhibited


marrow cell lines


Necrosis
 3.13E−153
1.37E−251
Inhibited
Inhibited
Inhibited
Inhibited


Proliferation of
 4.3E−57
4.19E−154
Inhibited
Inhibited


blood cells


Feeding


Inhibited

Inhibited


Digestive organ tumor


Inhibited
Inhibited
Inhibited


Non-hematologic


Inhibited
Inhibited


malignant neoplasm


Analgesia


Inhibited


Abdominal cancer


Inhibited
Inhibited
Inhibited


Differentiation of


Inhibited


T lymphocytes


Proliferation of
4.71E−58
2.05E−141
Inhibited
Inhibited


lymphatic system cells


Proliferation of


Inhibited


thymocytes


Cell movement of


Inhibited


tumor cells


Protein kinase cascade


Inhibited


Hepatic injury
2.69E−66

Inhibited


Leukopoiesis

4.76E−137
Inhibited
Activated
Inhibited


Development of


Inhibited


hematopoietic


progenitor cells


Regeneration of


Inhibited


neurons


Quantity of neuroglia


Inhibited

Inhibited


Experimentally-induced


Inhibited
Inhibited


arthritis


Proliferation of
2.25E−52
1.05E−119
Inhibited
Inhibited


lymphocytes


Differentiation of


Inhibited
Activated


hematopoietic


progenitor cells


Cell proliferation of

6.09E−108
Inhibited
Inhibited


T lymphocytes


Place preference


Inhibited


Non-hematological


Inhibited


solid tumor


Adhesion of tumor


Inhibited
Activated


cell lines


Inflammation of joint
 3.04E−121
4.99E−137
Inhibited
Inhibited


Rheumatic Disease
 1.08E−145
7.12E−183
Inhibited
Inhibited


Hematopoiesis of bone


Inhibited


marrow cells


Hematologic cancer
1.05E−92
2.16E−115
Inhibited

Inhibited


Thrombus


Inhibited
Activated


Apoptosis
 7.51E−135
1.07E−244
Inhibited
Inhibited
Activated
Inhibited


Non-melanoma


Inhibited

Inhibited


solid tumor


Formation of


osteoclasts


Atelectasis


Quantity of osteoblasts


Development of

8.45E−77 
Activated


hematopoietic system


Quantity of lymphocytes

7.81E−128
Activated


Inhibited


Cell death of blood cells
5.88E−70
3.48E−151
Activated
Activated


Development of cytoplasm


Activated


Hematopoiesis of


Activated


hematopoietic


progenitor cells


Cell death of leukemia


Activated


cell lines


Concentration of


Activated

Inhibited


prostaglandin


Polyarthritis


Activated


Cell death
 6.48E−155
3.74E−254
Activated
Inhibited
Activated
Inhibited


Memory deficits


Activated


Differentiation of


Activated


adipocytes


Interaction of


Activated


lymphocytes


Binding of lymphocytes


Activated


Cellular homeostasis
 1.04E−117
1.56E−154
Activated
Activated
Inhibited


Incidence of tumor


Activated
Inhibited
Inhibited


Quantity of lymphatic

1.35E−136
Activated
Inhibited


system cells


Cell death of
4.29E−72
1.75E−147
Activated
Activated
Inhibited


immune cells


Locomotion
1.34E−66

Activated

Inhibited


Hematopoiesis of


Activated


bone marrow


Differentiation of
 1.6E−52
3.39E−143
Activated
Activated


connective tissue cells


Cell death of antigen


Activated

Inhibited


presenting cells


Differentiation of


Activated
Inhibited


osteoclasts


Lymphatic system
4.79E−88

Activated


tumor


Neoplasia of leukocytes
 5.5E−88
1.29E−149
Activated

Inhibited


Lymphoid cancer
1.85E−77
1.81E−114
Activated


Lymphocytic neoplasm
 2.2E−82
4.25E−139
Activated

Inhibited


Lymphocytic cancer
3.97E−73

Activated

Inhibited


Lymphoproliferative
2.49E−83
1.95E−104
Activated

Inhibited


disorder


Release of Ca2+


Activated


Interaction of


Activated
Activated


mononuclear


leukocytes


Binding of


Activated


mononuclear


leukocytes


Concentration of


Activated


fatty acid


Edema
2.05E−71
6.78E−82 
Activated

Activated


Quantity of osteoclasts


Activated


Quantity of epithelial


Activated

Inhibited


tissue


Differentiation of

1.39E−102
Activated
Inhibited


bone cells


Malignant solid tumor


Activated
Inhibited
Inhibited


Chemotaxis of tumor


Activated


cell lines


Quantity of amino acids


Activated


Quantity of bone cells


Activated


Quantity of

 1.1E−133
Activated


mononuclear


leukocytes


Formation of reactive


Activated


oxygen species


Quantity of blood cells
8.73E−61
1.92E−184
Activated
Inhibited

Inhibited


Quantity of connective

3.02E−74 
Activated
Activated


tissue cells


Abdominal neoplasm


Activated
Inhibited
Inhibited


Release of metal


Activated


Angiogenesis of


Activated


extraembryonic tissue


Development of


Activated


extraembryonic tissue


Hematopoietic
2.37E−95

Activated


neoplasm


Quantity of

4.84E−113
Activated


connective


tissue


Concentration of


Activated


eicosanoid


Binding of breast


Activated


cancer cell lines


Damage of liver
7.95E−76
4.11E−168
Activated


Quantity of leukocytes
7.27E−55
1.75E−172
Activated
Inhibited


Size of body


Activated

Inhibited


Cell movement of

1.15E−73 
Activated


breast cancer


cell lines


Formation of


Activated


muscle cells


Migration of breast


Activated


cell lines


Vascularization

1.92E−105
Activated


Vasculogenesis
3.63E−68
6.72E−185
Activated

Inhibited


Release of


Activated


prostaglandin E2


Cell proliferation of


Activated


lymphoma cell lines


Aggregation of


Activated


blood cells


Activation of


Activated


endothelial cells


Cell movement of


Activated


cervical cancer


cell lines


Cell survival
1.22E−94
4.03E−184
Activated


Attachment of cells


Activated


Inflammation of organ
 1.21E−228
*
Activated
Inhibited


Transcription of DNA


Activated


Metastasis of


Activated


carcinoma cell lines


Fusion of muscle cells


Activated


Aggregation of cells

1.14E−83 
Activated


Formation of muscle


Activated


Vascularization of eye


Activated


Differentiation


Activated


of muscle


cell lines


Quantity of cells
 2.72E−102
2.87E−233
Activated
Inhibited
Inhibited
Inhibited


Quantity of bone


Activated
Inhibited


Cell movement of


Activated


breast cell lines


Activation of


Activated


T lymphocytes


Activation of


Activated
Inhibited


lymphocytes


Activation of
1.69E−56
3.43E−146
Activated
Activated


blood cells


Quantity of phagocytes

 4.3E−140
Activated
Inhibited


Aggregation of


Activated


blood platelets


Development of
 1.8E−77
1.84E−221
Activated

Inhibited


vasculature


Solid tumor


Activated
Inhibited


Extracranial solid tumor


Activated
Activated
Inhibited


Cancer


Activated


Activation of leukocytes
2.75E−57
5.84E−135
Activated
Activated


G1 phase of tumor


Activated


cell lines


Myelopoiesis of


Activated


bone marrow


Cell-mediated response


Activated


Interaction of protein


Activated


Chemotaxis

 4.9E−120
Activated

Inhibited


Cell movement of


Activated


epithelial cell lines


Fusion of cells


Activated


G1/S phase transition


Activated


Apoptosis of

2.49E−119
Activated
Activated


muscle cells


Pelvic tumor
1.81E−59

Activated
Inhibited


Transcription of RNA

2.71E−75 
Activated

Inhibited


Transcription

3.3E−92
Activated


G1 phase

6.31E−76 
Activated


Migration of brain cells


Activated


Activation of cells
3.66E−78
6.43E−190
Activated
Activated


Proliferation of

5.94E−78 
Activated


leukemia


cell lines


Migration of neurons


Activated


Neovascularization


Activated


of eye


Apoptosis of stem cells


Activated


Leukocyte migration
1.46E−79
3.36E−205
Activated
Activated
Inhibited


Expression of RNA

5.44E−90 
Activated


Necrosis of muscle
3.34E−54
1.37E−133
Activated


Cell movement of
1.17E−69
1.12E−156
Activated

Inhibited


tumor cell lines


Interphase

1.99E−94 
Activated


Growth of tumor
2.27E−68
2.81E−193
Activated

Inhibited


Genital tumor
1.07E−52

Activated
Activated


Attachment of


Activated


tumor cell lines


Adipogenesis of


Activated


connective tissue


Quantity of


Activated


IL-6 in blood


Quantity of TNF in


Activated


blood


Inflammation of
 6.8E−184
*
Activated
Inhibited


body cavity


Inflammation of
 1.33E−208
*
Activated
Inhibited


absolute anatomical


region


Cell movement
 1.08E−108
5.26E−246
Activated
Activated
Inhibited


Metabolism of hormone


Activated

Inhibited


Synthesis of hormone


Activated
Activated
Inhibited


Migration of cells
 6.76E−103
4.26E−241
Activated
Activated
Inhibited


Cell movement of


Activated
Inhibited


vascular smooth


muscle cells


Inflammatory response
2.02E−74
9.77E−181
Activated
Activated


Secretion of molecule
1.66E−75

Activated

Activated


Cell movement of

6.73E−75 
Activated
Inhibited


muscle cells


Transport of molecule
 1.58E−117

Activated
Activated
Activated





* ambiguous effect






The effects induced by TBI within 7 days were significant with a large number of genes deregulated. Consequently, the alterations in many neurodegeneration and scaring-related canonical pathways were significant Most of these pathway alterations were counteracted by ILB given within 30 minutes of the TBI (Table 38 and 39). Similar to the pathways the number of significantly affected molecular processes and diseases within 7 days of TBI was large and the effects were significant. However, the effect of TBI was mostly abolished by LMW-DS given 30 minutes after the injury (Table 40 and 41).









TABLE 38







Canonical pathways affected by TBI after 7 days and the effects of LMW-DS relative to control (p values and z scores)















Canonical









pathways
Canonical



affected in
pathways



dementia and
affected in




TBI + 15


Ingenuity
neurodegenerative
scar formation

TBI + 1
TBI + 5
TBI + 15
mg/kg


canonical
disease
and fibrosis

mg/kg
mg/kg
mg/kg
repeated dose


pathways
(p value)
(p value)
TBI
LMW-DS
LMW-DS
LMW-DS
LMW-DS

















Axonal Guidance
11
17.3
*






Signaling


CREB Signaling in
17.8
3.94
−3.703


Neurons


Opioid Signaling
20.8

−3.048
−0.447
*

0.816


Pathway


Synaptic Long Term
13.7
4.67
−4.061
1.342
1

1.342


Depression


Synaptic Long Term
14.3
3.49
−3.479


Potentiation


GNRH Signaling
17.9
9.75
−3.592

2


Molecular Mechanisms
14.6
32.2
*


of Cancer


CXCR4 Signaling
4.2
10.3
−1.622


Neuropathic Pain
16.9
3.31
−3.55



*


Signaling In Dorsal


Horn Neurons


Factors Promoting
4.56
12.6
*


Cardiogenesis in


Vertebrates


Cholecystokinin/Gastrin-
7.43
9.52
−1.219


mediated Signaling


Calcium Signaling
33.2
6.28
−3.781


Osteoarthritis Pathway
17.6
43.2
−1.64

−1


Epithelial Adherens
2.74
21.8
*


Junction Signaling


Endothelin-1 Signaling
12.2
14.1
−1.155
1.342
1.633
1


Cardiac Hypertrophy
14.6
19.9
−2.828

1


Signaling


Glutamate Receptor
12.1

−2.53


Signaling


GPCR-Mediated
12.4

−2.121


Nutrient Sensing in


Enteroendocrine Cells


Actin Cytoskeleton
1.66
12.5
−3.286


Signaling


UVC-Induced MAPK
6.23
8.51
−1.147


Signaling


Dopamine-DARPP32
16.2
2.58
−2.611


Feedback in cAMP


Signaling


Role of NFAT in
18.1
16.1
−3.244

*

0.447


Cardiac Hypertrophy


Phospholipase C
4.22
11.6
−2.534

1
2


Signaling


Role of Macrophages,
14.2
53.2
*


Fibroblasts and


Endothelial Cells in


Rheumatoid Arthritis


Role of Osteoblasts,
8.77
47.7
*


Osteoclasts and


Chondrocytes in


Rheumatoid Arthritis


Agrin Interactions at
4.16
6.61
−2.4


Neuromuscular Junction


Aldosterone Signaling
4.23
3.44
−2.335


in Epithelial Cells


Protein Kinase A
6.1
8.04
−1.386

−1.342


Signaling


PTEN Signaling
9.31
28.9
2.828


Gap Junction Signaling
13.4
21.8
*


G Beta Gamma
14.7
5.48
−3.413
1


2.236


Signaling


Wnt/β-catenin Signaling

8.18
0.686

−1


Thrombin Signaling
3.11
10.2
−2


Glioblastoma Multiform
3.92
16.4
−1.48


Signaling


Corticotropin Releasing
18.1
7.67
−1.414


Hormone Signaling


Tec Kinase Signaling
4.92
17.4
−1.257


nNOS Signaling in Neurons
13
3.94
−1.89


Cellular Effects of
6.22
2.54
*


Sildenafil (Viagra)


IL-8 Signaling
9.79
34.7
−1.982

2.646


Ephrin Receptor
4.59
8.64
−4.004



2.236


Signaling


Basal Cell Carcinoma

3.44
0


Signaling


Colorectal Cancer
10.2
38.4
−1.155

−0.378


Metastasis Signaling


PPARα/RXRα
8.12
16.4
2.335

*


Activation


Neuregulin Signaling
6.88
10.7
−2.558


Hepatic Fibrosis/
15.1
68.7
*


Hepatic Stellate Cell


Activation


Ephrin B Signaling

4
−2.668


GP6 Signaling Pathway
1.86

−2.959


Regulation of the
3.69
30
*


Epithelial-Mesenchymal


Transition Pathway


UVA-Induced MAPK
6.66
9.44
−2.683


Signaling


Signaling by Rho
2.29
8.92
−2.412

1

1


Family GTPases


Pyridoxal 5′-phosphate
4.9

−1.789


Salvage Pathway


Huntington's Disease
20.9
6.68
−2.121


Signaling


ErbB Signaling
6.54
14.8
−2.887


α-Adrenergic Signaling
5.91
1.99
−2.357


Fcγ Receptor-mediated
7.62
6.87
0.6

2.236


Phagocytosis in


Macrophages and


Monocytes


Natural Killer Cell
4.39
5.95
*


Signaling


Renin-Angiotensin
13.2
18.9
−2.646


Signaling


RhoGDI Signaling

2.14
1.976


GPCR-Mediated
4.53

0.218


Integration of


Enteroendocrine


Signaling Exemplified


by an L Cell


HGF Signaling
7.48
17.4
−3.138


Gaq Signaling
12.2
15.2
−2.401


14-3-3-mediated
12.2
23.7
−1.134


Signaling


P2Y Purigenic Receptor
7.16
7.78
−2.191


Signaling Pathway


G-Protein Coupled
22.1
18.1
*


Receptor Signaling


PCP pathway

2.56
−0.243


Thyroid Cancer
9.4
7.72
*


Signaling


Melatonin Signaling
8.59

−0.471


Mouse Embryonic Stem
1.35
17.9
−2.502


Cell Pluripotency


IL-3 Signaling
4.09
16.8
−2.711


Integrin Signaling
1.36
12.4
−2.846


Androgen Signaling
12.2
2.95
−2.065


Nitric Oxide Signaling
11.7
12.9
−3


in the


Cardiovascular


System


Paxillin Signaling
1.56
10.6
−3.578


Fc Epsilon RI Signaling
5.05
15.7
−0.756



−1


NGF Signaling
9.02
14.7
−3.024


Adrenomedullin
10.4

−2.03
−1
−0.632
*
−0.378


signaling pathway


Semaphorin Signaling

1.33
*


in Neurons


FLT3 Signaling in
1.8
14.4
−3.128



*


Hematopoietic


Progenitor Cells


fMLP Signaling in
3.74
14.3
−2.502


Neutrophils


Phagosome Formation
5.65
6.16
*


Ovarian Cancer Signaling
6.42
21.1
−3.606


VDR/RXR Activation
4.65
10.2
1.069

*


Leukocyte
6.36
19.7
−2.92

1.342


Extravasation Signaling


D-myo-inositol


−0.632


(1,4,5)-Trisphosphate


Biosynthesis


Salvage Pathways of
3.02

−1.46


Pyrimidine


Ribonucleotides


Wnt/Ca+ pathway
4.79
1.59
−1.698


Role of NANOG in

17
−3.051


Mammalian Embryonic


Stem Cell Pluripotency


Virus Entry via
3.75
11
*


Endocytic Pathways


Type II Diabetes
19
16.1
−0.894


Mellitus Signaling


Rac Signaling
2.62
13.5
−4.426


CCR3 Signaling in
3.08
10.5
−2.558


Eosinophils


cAMP-mediated
15.8
10
−2.722

−2
1


signaling


Notch Signaling
3.05

−0.378


HER-2 Signaling in
3.27
13.1
*


Breast Cancer


Caveolar-mediated
1.96
5.58
*


Endocytosis Signaling


CCR5 Signaling
16.3
4.77
0


in Macrophages


Sperm Motility
4.03
1.76
−1.961


Regulation of Actin-

2.14
−0.218


based Motility by Rho


Adipogenesis pathway
4.87
13.9
*


Growth Hormone
6.85
9.43
−2.065


Signaling


B Cell Receptor
9.59
28.2
−3.212



−0.447


Signaling


PI3K Signaling in
7.67
20.4
−2.887

1.89


B Lymphocytes


Role of Tissue Factor
5.6
27.1
*


in Cancer


Human Embryonic Stem
3.32
19.9
*


Cell Pluripotency


TGF-β Signaling
2.26
24.2
−1.886


Erythropoietin Signaling
4.67
16.7
*


Antiproliferative Role of

8.4
−3.207


Somatostatin Receptor 2


ERK/MAPK Signaling
5.66
12.8
−3.667

1


p70S6K Signaling
6.22
11.9
−3.024


CNTF Signaling

13.2
−3.638


GDNF Family Ligand-
3.68
9.29
−2.183


Receptor Interactions


BMP signaling pathway
5.09
17.7
−2.183


Role of NFAT in
5.53
15.1
−2.921
0.816
2.53

2.236


Regulation of the


Immune Response


Neuroinflammation
54.8

−1.809

1.941


Signaling Pathway


Germ Cell-Sertoli Cell
3.63
23.6
*


Junction Signaling


Glioma Signaling
6.44
18.2
−3.13


Netrin Signaling
14.4
2.95
*


Role of Wnt/GSK-3β


0.577


Signaling in the


Pathogenesis of


Influenza


Production of Nitric
13.7
27.7
−1

2.236


Oxide and Reactive


Oxygen Species in


Macrophages


Cardiac β-adrenergic
3.77

−1.886


Signaling


Calcium-induced T
3.2
4.29
−1.069


Lymphocyte Apoptosis


UVB-Induced MAPK
7.17
9.71
−1.5


Signaling


ErbB4 Signaling
3.93
8.87
−2.183


Gαs Signaling
8.77
3.53
−1.964


RAR Activation
6.66
8.92
*


1D-myo-inositol


−1.134


Hexakisphosphate


Biosynthesis II


(Mammalian)


Acute Myeloid
2.95
14.1
−1.964


Leukemia Signaling


Relaxin Signaling
3.61
10.1
−3.3


NF-κB Activation by
3.27
15.1
−3.13


Viruses


Telomere Extension


*


by Telomerase


Superpathway of

2.44
−2.655



2


Inositol Phosphate


Compounds


PAK Signaling
1.8
11.5
−2.4


GABA Receptor
30.6

*


Signaling


IL-4 Signaling
3.7
11.8
*


Prolactin Signaling
4.56
12.3
−2.357


Phenylalanine


*


Degradation I (Aerobic)


ILK Signaling
6.57
24.1
−1.567

1.89


Thrombopoietin
6.39
10.3
−2.5


Signaling


STAT3 Pathway
9.57
25.5
−2.4

*


Parkinson's Signaling
7.06
1.7
*


SAPK/JNK Signaling
2.17
7.22
−1.706


NRF2-mediated
8.95
10.5
−1.4


Oxidative Stress


Response


Melanocyte
2.8
7.64
−3.13


Development and


Pigmentation Signaling


RhoA Signaling

2.58
−1.043


FcγRIIB Signaling
11.9
8.78
−1.265


in B Lymphocytes


eNOS Signaling
29
9.79
−1.961


FAK Signaling
1.82
14.4
*


Serotonin Receptor
9.58

*


Signaling


PEDF Signaling
6.56
25.5
−2.524


VEGF Family Ligand-
4.77
13.3
−2.357


Receptor Interactions


Breast Cancer
5.84
11
*


Regulation by


Stathmin1


D-myo-inositol-5-


−1.671


phosphate Metabolism


IL-10 Signaling
6.55
23.3
*


IL-15 Signaling
3.78
25
*


Sertoli Cell-Sertoli Cell
5.76
21.6
*


Junction Signaling


JAK/Stat Signaling
2.4
20.2
−2.828


Apoptosis Signaling
13
13.8
2.524


PDGF Signaling
6.67
20.4
−3.441


Non-Small Cell Lung
3.49
13.7
−2.324


Cancer Signaling


D-myo-inositol (1,4,5)-


0


trisphosphate


Degradation


Gαi Signaling
9.38
9.83
−1.964


Glutamate Dependent
2

*


Acid Resistance


PKCθ Signaling in
10.7
17.3
−2.558

2


T Lymphocytes


Role of IL-17F in
4.79
11.7
−2.53


Allergic Inflammatory


Airway Diseases


Amyotrophic Lateral
28.1
13.5
−1.886


Sclerosis Signaling


TWEAK Signaling
5
4.46
−0.333


Sphingosine-1-
5.14
7.9
−0.426


phosphate Signaling


Superpathway of D-myo-inositol
1.37

−0.378


(1,4,5)-trisphosphate


Metabolism


Mechanisms of Viral
5.27

*


Exit from Host Cells


CDK5 Signaling
8.38
3.35
−2.524


IL-1 Signaling
3.22
7.14
−1.069

1

*


D-myo-inositol


−0.816


(1,3,4)-trisphosphate


Biosynthesis


Leptin Signaling in
5.34
4.55
−1.89


Obesity


Acute Phase Response
18.7
37.8
−1.877

1.89

−0.447


Signaling


Pancreatic
9.68
35.1
−1.606


Adenocarcinoma


Signaling


LPS-stimulated MAPK
7.31
18.4
−1.886


Signaling


Cancer Drug
5.87
11
*


Resistance By Drug


Efflux


Calcium Transport I


0


Antioxidant Action
6.6
8.13
0.229


of Vitamin C


Phospholipases

1.76
−0.277


3-phosphoinositide


−2.117



2


Degradation


Urea Cycle

1.44
*


Regulation of Cellular
1.3
8.67
−1.667


Mechanics by Calpain


Protease


Angiopoietin Signaling
2.01
12
−3.051


Role of MAPK Signaling
4.53
13.7
*


in the Pathogenesis of


Influenza


IL-6 Signaling
7.42
32.4
−2.711

1

*


ERK5 Signaling
3.67
6.1
−2.673
−2
−0.447


GM-CSF Signaling
3.32
25.7
−3.606


Oncostatin M Signaling
2.22
15.3
−2.333


Circadian Rhythm
4.89

*


Signaling


Inhibition of
10.7
12.7
1.134


Angiogenesis


by TSP1


3-phosphoinositide

3.42
−2.828


Biosynthesis


Tyrosine Biosynthesis


*


IV


Dendritic Cell
10.5
33.6
−0.557

1.897


Maturation


Glycoaminoglycan-


*


protein Linkage Region


Biosynthesis


NF-κB Signaling
8.97
36.4
−2.921
−0.447
*

0.447


RAN Signaling


*


Macropinocytosis
5.53
15
−1.941


Signaling


PPAR Signaling
3.53
20.5
1.886

−1.342


nNOS Signaling in
15.4
1.44
*


Skeletal Muscle Cells


HMGB1 Signaling
8.48
38.7
−1.46

1.134


Actin Nucleation by

2.98
−1.155


ARP-WASP Complex


Insulin Receptor
5.78
8.97
−1.877


Signaling


mTOR Signaling
2.43
6.06
−1.89

1





* ambiguous effect













TABLE 39







Canonical pathways affected by TBI after 7 days and the effects of LMW-DS















Canonical









pathways
Canonical



affected in
Pathways



dementia and
affected in




TBI + 15


Ingenuity
neurodegenerative
scar formation

TBI + 1
TBI + 5
TBI + 15
mg/kg


canonical
disease
and fibrosis

mg/kg
mg/kg
mg/kg
repeated dose


pathways
(p value)
(p value)
TBI
LMW-DS
LMW-DS
LMW-DS
LMW-DS

















Axonal
11
17.3
*






Guidance


Signaling


CREB Signaling
17.8
3.94
Inhibited


in Neurons


Opioid Signaling
20.8

Inhibited
Inhibited
*

Activated


Pathway


Synaptic Long
13.7
4.67
Inhibited
Activated
Activated

Activated


Term


Depression


Synaptic Long
14.3
3.49
Inhibited


Term


Potentiation


GNRH
17.9
9.75
Inhibited

Activated


Signaling


Molecular
14.6
32.2
*


Mechanisms of


Cancer


CXCR4
4.2
10.3
Inhibited


Signaling


Neuropathic
16.9
3.31
Inhibited



*


Pain Signaling


In Dorsal Horn


Neurons


Factors
4.56
12.6
*


Promoting


Cardiogenesis


in Vertebrates


Cholecystokinin/
7.43
9.52
Inhibited


Gastrin-mediated


Signaling


Calcium
33.2
6.28
Inhibited


Signaling


Osteoarthritis
17.6
43.2
Inhibited

Inhibited


Pathway


Epithelial
2.74
21.8
*


Adherens


Junction


Signaling


Endothelin-1
12.2
14.1
Inhibited
Activated
Activated
Activated


Signaling


Cardiac
14.6
19.9
Inhibited

Activated


Hypertrophy


Signaling


Glutamate
12.1

Inhibited


Receptor


Signaling


GPCR-Mediated
12.4

Inhibited


Nutrient


Sensing in


Enteroendocrine


Cells


Actin
1.66
12.5
Inhibited


Cytoskeleton


Signaling


UVC-Induced
6.23
8.51
Inhibited


MAPK Signaling


Dopamine-DARPP32
16.2
2.58
Inhibited


Feedback in


cAMP Signaling


Role of NFAT
18.1
16.1
Inhibited

*

Activated


in Cardiac


Hypertrophy


Phospholipase
4.22
11.6
Inhibited

Activated
Activated


C Signaling


Role of
14.2
53.2
*


Macrophages,


Fibroblasts and


Endothelial


Cells in


Rheumatoid


Arthritis


Role of
8.77
47.7
*


Osteoblasts,


Osteoclasts and


Chondrocytes in


Rheumatoid


Arthritis


Agrin
4.16
6.61
Inhibited


Interactions at


Neuromuscular


Junction


Aldosterone
4.23
3.44
Inhibited


Signaling in


Epithelial Cells


Protein Kinase
6.1
8.04
Inhibited

Inhibited


A Signaling


PTEN Signaling
9.31
28.9
Activated


Gap Junction
13.4
21.8
*


Signaling


G Beta Gamma
14.7
5.48
Inhibited
Activated


Activated


Signaling


Wnt/β-catenin

8.18
Activated

Inhibited


Signaling


Thrombin
3.11
10.2
Inhibited


Signaling


Glioblastoma
3.92
16.4
Inhibited


Multiform


Signaling


Corticotropin
18.1
7.67
Inhibited


Releasing


Hormone


Signaling


Tec Kinase
4.92
17.4
Inhibited


Signaling


nNOS Signaling
13
3.94
Inhibited


in Neurons


Cellular Effects
6.22
2.54
*


of Sildenafil


(Viagra)


IL-8 Signaling
9.79
34.7
Inhibited

Activated


Ephrin Receptor
4.59
8.64
Inhibited



Activated


Signaling


Basal Cell

3.44


Carcinoma


Signaling


Colorectal
10.2
38.4
Inhibited

Inhibited


Cancer


Metastasis


Signaling


PPARα/RXRα
8.12
16.4
Activated

*


Activation


Neuregulin
6.88
10.7
Inhibited


Signaling


Hepatic Fibrosis/
15.1
68.7
*


Hepatic


Stellate Cell


Activation


Ephrin B

4
Inhibited


Signaling


GP6 Signaling
1.86

Inhibited


Pathway


Regulation of
3.69
30
*


the Epithelial-


Mesenchymal


Transition


Pathway


UVA-Induced
6.66
9.44
Inhibited


MAPK Signaling


Signaling by
2.29
8.92
Inhibited

Activated

Activated


Rho Family


GTPases


Pyridoxal 5′-
4.9

Inhibited


phosphate


Salvage


Pathway


Huntington's
20.9
6.68
Inhibited


Disease


Signaling


ErbB Signaling
6.54
14.8
Inhibited


α-Adrenergic
5.91
1.99
Inhibited


Signaling


Fcγ Receptor-
7.62
6.87
Activated

Activated


mediated


Phagocytosis in


Macrophages


and Monocytes


Natural Killer
4.39
5.95
*


Cell Signaling


Renin-
13.2
18.9
Inhibited


Angiotensin


Signaling


RhoGDI

2.14
Activated


Signaling


GPCR-Mediated
4.53

Activated


Integration of


Enteroendocrine


Signaling


Exemplified by


an L Cell


HGF Signaling
7.48
17.4
Inhibited


Gaq Signaling
12.2
15.2
Inhibited


14-3-3-mediated
12.2
23.7
Inhibited


Signaling


P2Y Purigenic
7.16
7.78
Inhibited


Receptor


Signaling


Pathway


G-Protein
22.1
18.1
*


Coupled


Receptor


Signaling


PCP pathway

2.56
Inhibited


Thyroid Cancer
9.4
7.72
*


Signaling


Melatonin
8.59

Inhibited


Signaling


Mouse
1.35
17.9
Inhibited


Embryonic


Stem Cell


Pluripotency


IL-3 Signaling
4.09
16.8
Inhibited


Integrin
1.36
12.4
Inhibited


Signaling


Androgen
12.2
2.95
Inhibited


Signaling


Nitric Oxide
11.7
12.9
Inhibited


Signaling in the


Cardiovascular


System


Paxillin
1.56
10.6
Inhibited


Signaling


Fc Epsilon RI
5.05
15.7
Inhibited



Inhibited


Signaling


NGF Signaling
9.02
14.7
Inhibited


Adrenomedullin
10.4

Inhibited
Inhibited
Inhibited
*
Inhibited


signaling


pathway


Semaphorin

1.33
*


Signaling in


Neurons


FLT3 Signaling
1.8
14.4
Inhibited



*


in


Hematopoietic


Progenitor Cells


fMLP Signaling
3.74
14.3
Inhibited


in Neutrophils


Phagosome
5.65
6.16
*


Formation


Ovarian Cancer
6.42
21.1
Inhibited


Signaling


VDR/RXR
4.65
10.2
Activated

*


Activation


Leukocyte
6.36
19.7
Inhibited

Activated


Extravasation


Signaling


D-myo-inositol


Inhibited


(1,4,5)-


Trisphosphate


Biosynthesis


Salvage
3.02

Inhibited


Pathways of


Pyrimidine


Ribonucleotides


Wnt/Ca+
4.79
1.59
Inhibited


pathway


Role of NANOG

17
Inhibited


in Mammalian


Embryonic


Stem Cell


Pluripotency


Virus Entry via
3.75
11
*


Endocytic


Pathways


Type II Diabetes
19
16.1
Inhibited


Mellitus


Signaling


Rac Signaling
2.62
13.5
Inhibited


CCR3 Signaling
3.08
10.5
Inhibited


in Eosinophils


cAMP-mediated
15.8
10
Inhibited

Inhibited
Activated


signaling


Notch
3.05

Inhibited


Signaling


HER-2
3.27
13.1
*


Signaling in


Breast Cancer


Caveolar-
1.96
5.58
*


mediated


Endocytosis


Signaling


CCR5 Signaling
16.3
4.77


in Macrophages


Sperm Motility
4.03
1.76
Inhibited


Regulation of

2.14
Inhibited


Actin-based


Motility by Rho


Adipogenesis
4.87
13.9
*


pathway


Growth
6.85
9.43
Inhibited


Hormone


Signaling


B Cell Receptor
9.59
28.2
Inhibited



Inhibited


Signaling


PI3K Signaling
7.67
20.4
Inhibited

Activated


in B


Lymphocytes


Role of Tissue
5.6
27.1
*


Factor in Cancer


Human
3.32
19.9
*


Embryonic


Stem Cell


Pluripotency


TGF-β Signaling
2.26
24.2
Inhibited


Erythropoietin
4.67
16.7
*


Signaling


Antiproliferative

8.4
Inhibited


Role of


Somatostatin


Receptor 2


ERK/MAPK
5.66
12.8
Inhibited

Activated


Signaling


p70S6K
6.22
11.9
Inhibited


Signaling


CNTF Signaling

13.2
Inhibited


GDNF Family
3.68
9.29
Inhibited


Ligand-Receptor


Interactions


BMP signaling
5.09
17.7
Inhibited


pathway


Role of NFAT in
5.53
15.1
Inhibited
Activated
Activated

Activated


Regulation of


the Immune


Response


Neuroinflammation
54.8

Inhibited

Activated


Signaling


Pathway


Germ Cell-
3.63
23.6
*


Sertoli Cell


Junction


Signaling


Glioma
6.44
18.2
Inhibited


Signaling


Netrin Signaling
14.4
2.95
*


Role of


Activated


Wnt/GSK-3β


Signaling in the


Pathogenesis of


Influenza


Production of
13.7
27.7
Inhibited

Activated


Nitric Oxide and


Reactive


Oxygen Species


in Macrophages


Cardiac β-
3.77

Inhibited


adrenergic


Signaling


Calcium-induced
3.2
4.29
Inhibited


T Lymphocyte


Apoptosis


UVB-Induced
7.17
9.71
Inhibited


MAPK Signaling


ErbB4 Signaling
3.93
8.87
Inhibited


Gas Signaling
8.77
3.53
Inhibited


RAR Activation
6.66
8.92
*


1D-myo-inositol


Inhibited


Hexakisphosphate


Biosynthesis


II (Mammalian)


Acute Myeloid
2.95
14.1
Inhibited


Leukemia


Signaling


Relaxin
3.61
10.1
Inhibited


Signaling


NF-κB
3.27
15.1
Inhibited


Activation by


Viruses


Telomere


*


Extension by


Telomerase


Superpathway

2.44
Inhibited



Activated


of Inositol


Phosphate


Compounds


PAK Signaling
1.8
11.5
Inhibited


GABA Receptor
30.6

*


Signaling


IL-4 Signaling
3.7
11.8
*


Prolactin
4.56
12.3
Inhibited


Signaling


Phenylalanine


*


Degradation I


(Aerobic)


ILK Signaling
6.57
24.1
Inhibited

Activated


Thrombopoietin
6.39
10.3
Inhibited


Signaling


STAT3 Pathway
9.57
25.5
Inhibited

*


Parkinson's
7.06
1.7
*


Signaling


SAPK/JNK
2.17
7.22
Inhibited


Signaling


NRF2-mediated
8.95
10.5
Inhibited


Oxidative Stress


Response


Melanocyte
2.8
7.64
Inhibited


Development


and


Pigmentation


Signaling


RhoA Signaling

2.58
Inhibited


FcγRIIB
11.9
8.78
Inhibited


Signaling in B


Lymphocytes


eNOS Signaling
29
9.79
Inhibited


FAK Signaling
1.82
14.4
*


Serotonin
9.58

*


Receptor


Signaling


PEDF Signaling
6.56
25.5
Inhibited


VEGF Family
4.77
13.3
Inhibited


Ligand-Receptor


Interactions


Breast Cancer
5.84
11
*


Regulation by


Stathmin1


D-myo-inositol-


Inhibited


5-phosphate


Metabolism


IL-10 Signaling
6.55
23.3
*


IL-15 Signaling
3.78
25
*


Sertoli Cell-
5.76
21.6
*


Sertoli Cell


Junction


Signaling


JAK/Stat
2.4
20.2
Inhibited


Signaling


Apoptosis
13
13.8
Activated


Signaling


PDGF Signaling
6.67
20.4
Inhibited


Non-Small Cell
3.49
13.7
Inhibited


Lung Cancer


Signaling


D-myo-inositol


(1,4,5)-trisphosphate


Degradation


Gαi Signaling
9.38
9.83
Inhibited


Glutamate
2

*


Dependent Acid


Resistance


PKCθ Signaling
10.7
17.3
Inhibited

Activated


in T Lymphocytes


Role of IL-17F
4.79
11.7
Inhibited


in Allergic


Inflammatory


Airway


Diseases


Amyotrophic
28.1
13.5
Inhibited


Lateral


Sclerosis


Signaling


TWEAK
5
4.46
Inhibited


Signaling


Sphingosine-
5.14
7.9
Inhibited


1-phosphate


Signaling


Superpathway
1.37

Inhibited


of D-myo-inositol


(1,4,5)-trisphosphate


Metabolism


Mechanisms of
5.27

*


Viral Exit from


Host Cells


CDK5 Signaling
8.38
3.35
Inhibited


IL-1 Signaling
3.22
7.14
Inhibited

Activated

*


D-myo-inositol


Inhibited


(1,3,4)-trisphosphate


Biosynthesis


Leptin Signaling
5.34
4.55
Inhibited


in Obesity


Acute Phase
18.7
37.8
Inhibited

Activated

Inhibited


Response


Signaling


Pancreatic
9.68
35.1
Inhibited


Adenocarcinoma


Signaling


LPS-stimulated
7.31
18.4
Inhibited


MAPK Signaling


Cancer Drug
5.87
11
*


Resistance By


Drug Efflux


Calcium


Transport I


Antioxidant
6.6
8.13
Activated


Action of


Vitamin C


Phospholipases

1.76
Inhibited


3-phosphoinositide


Inhibited



Activated


Degradation


Urea Cycle

1.44
*


Regulation of
1.3
8.67
Inhibited


Cellular


Mechanics by


Calpain


Protease


Angiopoietin
2.01
12
Inhibited


Signaling


Role of MAPK
4.53
13.7
*


Signaling in the


Pathogenesis of


Influenza


IL-6 Signaling
7.42
32.4
Inhibited

Activated

*


ERK5 Signaling
3.67
6.1
Inhibited
Inhibited
Inhibited


GM-CSF
3.32
25.7
Inhibited


Signaling


Oncostatin M
2.22
15.3
Inhibited


Signaling


Circadian
4.89

*


Rhythm


Signaling


Inhibition of
10.7
12.7
Activated


Angiogenesis


by TSP1


3-phosphoinositide

3.42
Inhibited


Biosynthesis


Tyrosine


*


Biosynthesis IV


Dendritic Cell
10.5
33.6
Inhibited

Activated


Maturation


Glycoaminoglycan-


*


protein


Linkage Region


Biosynthesis


NF-κB
8.97
36.4
Inhibited
Inhibited
*

Activated


Signaling


RAN Signaling


*


Macropinocytosis
5.53
15
Inhibited


Signaling


PPAR Signaling
3.53
20.5
Activated

Inhibited


nNOS Signaling
15.4
1.44
*


in Skeletal


Muscle Cells


HMGB1
8.48
38.7
Inhibited

Activated


Signaling


Actin Nucleation

2.98
Inhibited


by ARP-WASP


Complex


Insulin Receptor
5.78
8.97
Inhibited


Signaling


mTOR
2.43
6.06
Inhibited

Activated


Signaling
















TABLE 40







Diseases and molecular functions affected by TBI after 7 days and the effects of LMW-DS (p values and z scores)
















Diseases and








Diseases and
functions




TBI + 15



functions affected
affected in




mg/kg



in dementia and
fibrosis and

TBI + 1
TBI + 5
TBI + 15
repeated


Diseases or functions
neurodegeneration
scarring (p

mg/kg
mg/kg
mg/kg
dose


annotation
(p value)
value)
TBI
LMW-DS
LMW-DS
LMW-DS
LMW-DS

















Cell movement
 1.1E−108
5.3E−246
−6.524
−1.01
2.297

0.154


Size of body


−6.2

0.748

0.67


Organization of
1.61E−68
3.76E−76 
−5.922

2.174

1.922


cytoskeleton


Migration of cells
 6.8E−103
4.3E−241
−5.885

2.659

0.271


Organization of
4.68E−69
7.6E−74 
−5.875



1.922


cytoplasm


Cell survival
1.22E−94

4E−184

−5.807

1.966


Formation of cellular
2.84E−52

−5.739



1.183


protrusions


Development of
7.82E−63

−5.726

1.106

0.688


neurons


Quantity of cells
 2.7E−102
2.9E−233
−5.577

0.634
0.991
0.493


Microtubule dynamics
 2.4E−63

−5.549

1.82

1.962


Cell viability
9.14E−94

1E−176

−5.42
−1.584
1.879


Cell viability of tumor
7.56E−63
1.1E−114
−5.022

0.991


cell lines


Developmental


−4.97
−0.152


0.849


process of synapse


Development of gap


−4.826



0.849


junctions


Formation of plasma


−4.725
−0.152


membrane


Cell-cell contact


−4.682



1.504


Assembly of


−4.584


intercellular junctions


Formation of


−4.329



0.391


intercellular junctions


Morphogenesis of
4.16E−54

−4.318



0.205


neurons


Neuritogenesis
2.04E−53

−4.318


Invasion of cells
1.26E−64
1.1E−148
−4.317

1.32


Homing of cells


2E−126

−4.314


Chemotaxis

4.9E−120
−4.232

1.873


Angiogenesis
6.89E−75

1E−210

−4.219

0.294


Development of
 1.8E−77
1.8E−221
−4.218

0.295


vasculature


Collapse of growth


−4.145


cone


Cell movement of
1.17E−69
1.1E−156
−4.06

1.492


tumor cell lines


Vasculogenesis
3.63E−68
6.7E−185
−3.982

0.507


Neurotransmission
 3.7E−100

−3.909



1.214


Cell movement of

2.38E−86 
−3.817

2.084


endothelial cells


Transactivation of


−3.66


RNA


Transactivation


−3.651


Long-term potentiation
6.19E−76

−3.624


Transcription

3.3E−92 
−3.459

1.317
0.747


Transcription of RNA

2.71E−75 
−3.445

1.221
0.517


Synaptic transmission


−3.371


of cells


Plasticity of synapse


−3.364


Potentiation of
1.58E−77

−3.319


synapse


Migration of

1.18E−81 
−3.312

2.16


endothelial cells


Synaptic transmission
 8.3E−97

−3.304


Long-term potentiation


−3.278


of brain


Migration of tumor cell
9.34E−62
5.5E−134
−3.236


lines


Quantity of neurons
1.57E−59

−3.147


Quantity of nervous
4.93E−60

−3.126


tissue


Development of

1.77E−77 
−3.125

−0.336


genitourinary system


Long-term potentiation


−3.102


of cerebral cortex


Cellular homeostasis
   1E−117
1.6E−154
−3.087

1.615


Expression of RNA

5.44E−90 
−3.057

1.797


Growth of connective

4.3E−157
−3.055

−0.324


tissue


Non-hematologic


−2.986

−0.243

−0.223


malignant neoplasm


Synaptic transmission


−2.963


of nervous tissue


Shape change of


−2.953


neurites


Branching of neurites


−2.881


Transcription of DNA


−2.793


Long-term potentiation


−2.789


of hippocampus


Behavior
 7.7E−146

−2.715


Development of body

7.2E−188
−2.709

1.09


trunk


Cognition
 9.8E−112

−2.679


Branching of neurons


−2.669


Learning
 1.2E−108

−2.66



0.469


Sprouting
6.17E−59

−2.655


Branching of cells
8.41E−54

−2.65



0.397


Coordination


−2.648


Potentiation of


−2.611


hippocampus


Long-term memory


−2.571


Differentiation of


−2.556


neurons


Cell movement of
2.64E−79
2.3E−210
−2.533


blood cells


Leukocyte migration
1.46E−79
3.4E−205
−2.532

3.062
2.365


Shape change of


−2.531


neurons


Dendritic


−2.491



−0.169


growth/branching


Memory
1.31E−83

−2.473


Carcinoma


−2.446

−0.403
1.067
−0.358


Genitourinary


−2.425


adenocarcinoma


Formation of brain


−2.415


Growth of tumor
2.27E−68
2.8E−193
−2.369

2.295


Growth of organism

5.6E−102
−2.364


Synthesis of lipid
1.14E−78
5.59E−92 
−2.355
0.033
1.937


Respiratory system


−2.335


development


Differentiation of


−2.329


osteoblasts


Conditioning


−2.324


Proliferation of
4.49E−61

−2.298


neuronal cells


Male genital neoplasm


−2.296


Synaptic depression


−2.292


Development of
8.97E−54
4.4E−109
−2.287

0.262


epithelial tissue


Density of neurons


−2.27


Proliferation of

4.7E−152
−2.237

−0.747


connective tissue cells


Formation of lung


−2.236


Prostatic carcinoma


−2.219


Formation of


−2.212


rhombencephalon


Innervation


−2.204


Guidance of axons


−2.194


Genitourinary


−2.191

1.131


carcinoma


Discomfort
 4.2E−181

−2.184


Metabolism of


−2.158
−1.066


hormone


Cell movement of


−2.143


neurons


Long term depression


−2.107


Differentiation of


−2.093


osteoblastic-lineage


cells


Outgrowth of cells
2.39E−58

−2.085


Malignant solid tumor


−2.079

0.423


Non-hematological


−2.073

0.021

−0.913


solid tumor


Growth of neurites
5.41E−59

−2.054


Transport of molecule
 1.6E−117

−2.045

1.854

1.143


Formation of


−2.042


hippocampus


Prostatic tumor


−2.02


Formation of muscle


−2.01


Genital tumor
1.07E−52

−2.009

0.305


Fibrogenesis


−1.986


Prostatic


−1.982


adenocarcinoma


Adenocarcinoma


−1.939

−0.155

−0.944


Transport of K+


−1.912


Abdominal cancer


−1.902
−2.426
−0.474

−2.015


Cardiogenesis

2.07E−92 
−1.895


Malignant neoplasm of


−1.889


retroperitoneum


Development of


−1.886


central nervous


system cells


Development of


−1.882


reproductive system


Epithelial neoplasm


−1.877
−1.313

0.775
−0.999


Malignant neoplasm of


−1.864


male genital organ


Development of head


−1.851

1.213


Development of body


−1.851

1.213


axis


Patterning of


−1.835


rhombencephalon


Axonogenesis


−1.798


Tumorigenesis of


−1.785
−0.998
−0.832
0.918
−1.333


tissue


Synthesis of nitric
2.05E−53
1.3E−98 
−1.752


oxide


Melanoma


−1.723


Outgrowth of neurites
5.63E−52

−1.714


Urinary tract cancer
6.04E−53

−1.698


Abdominal


−1.687

0.73


adenocarcinoma


Transport of ion


−1.687



1.109


Hyperalgesia
1.56E−55

−1.679


Development of


−1.661


cerebral cortex


Dyskinesia
 3.5E−136

−1.657


Proliferation of smooth

5.2E−120
−1.64


muscle cells


Differentiation of
 1.6E−52
3.4E−143
−1.635
−0.349
0.769

−0.011


connective tissue cells


Prostate cancer


−1.628


Muscle contraction


−1.623


Pelvic tumor
1.81E−59

−1.62
−1.214
0.445


Transport of metal ion


−1.609


Formation of filaments


−1.578


Genital tract cancer


−1.575


Neoplasia of epithelial


−1.555


cells


Transport of cation


−1.55


Quantity of connective

4.8E−113
−1.546

0.609


tissue


Differentiation of


−1.543


nervous system


Migration of neurons


−1.538


Transport of metal


−1.527



1


Upper gastrointestinal


−1.501


tract cancer


Malignant
5.22E−63

−1.497
−0.537
0.346


genitourinary solid


tumor


Development of


−1.481


central nervous


system


Differentiation of bone

3.9E−104
−1.458

1.012


Proliferation of muscle
1.11E−56
1.8E−148
−1.458


cells


Formation of dendrites


−1.436


Development of


−1.435


cytoplasm


Spatial learning


−1.431


Disorder of basal
 6.6E−167

−1.423


ganglia


Cued conditioning


−1.414


Formation of


−1.408


cytoskeleton


Transport of inorganic


−1.402


cation


Neurological signs
 2.6E−167

−1.359


Development of


−1.353


genital tumor


Pelvic cancer
 1.1E−54

−1.328


Central nervous
2.25E−65
1.15E−85 
−1.321


system cancer


Cell cycle progression

3.6E−129
−1.3

1.58


Heart rate

3.1E−76 
−1.29


Action potential of


−1.279


neurons


Action potential of


−1.279


cells


Phosphorylation of


−1.272


protein


Abdominal carcinoma


−1.258
−1.987
−0.831


Digestive system


−1.241
−1.96
−1.792

−1.513


cancer


Squamous-cell


−1.234


carcinoma


Formation of forebrain


−1.212


Formation of


−1.212


telencephalon


Hyperesthesia
2.75E−59

−1.204


Differentiation of bone

1.4E−102
−1.199
−1.799
0.85
0.903
−0.237


cells


Cancer of secretory
 3.5E−54

−1.193

0.64


structure


Pancreatic ductal


−1.177


carcinoma


Pancreatic ductal


−1.177


adenocarcinoma


Pancreatic


−1.177


adenocarcinoma


Quantity of metal ion
 2.5E−56

−1.165


Organization of actin


−1.164


cytoskeleton


Development of


−1.158


0.152


carcinoma


B-cell non-Hodgkin


−1.154


lymphoma


Formation of actin


−1.139


stress fibers


Mature B-cell
6.27E−65

−1.131


neoplasm


Glioblastoma
3.36E−56

−1.103


Pancreatic cancer


−1.089


Sensory disorders
7.43E−58

−1.063


Development of


−1.062


gastrointestinal tract


Quantity of metal
8.53E−63
1.99E−81 
−1.061
0.415


Cell movement of
8.57E−58
1.3E−173
−1.047

3.907
1.197


myeloid cells


Function of muscle

6.94E−87 
−1.043


Cancer


−1.035

0.905
1.705


Formation of actin


−1.028


filaments


Head and neck


−1.026


carcinoma


Excitatory


−1


postsynaptic potential


Progressive
 6.6E−215

−0.963


neurological disorder


Development of


−0.952


adenocarcinoma


Cancer of cells
 7.6E−56
1.17E−97 
−0.927

0.742


Concentration of


−0.917
−0.32


0.825


hormone


Genitourinary tumor
6.65E−66

−0.908

1.388
1.746


Abdominal neoplasm


−0.871

0.061
−0.272
−1.116


Spatial memory


−0.869


Urinary tract tumor
8.53E−58
3.28E−74 
−0.863


Head and neck cancer


−0.86

−1.154


Upper gastrointestinal


−0.849


carcinoma


Extraadrenal


−0.821


retroperitoneal tumor


Secretion of molecule
1.66E−75

−0.8

1.386


Astrocytoma


−0.786


Gonadal tumor


−0.732


Quantity of
3.84E−52
2.39E−87 
−0.732
0.49


−0.017


carbohydrate


Ductal carcinoma


−0.728


Development of


−0.724


digestive system


Tumorigenesis of


−0.713


reproductive tract


Development of

1.1E−76 
−0.712
−0.005
1.638
0.766
−0.005


connective tissue cells


Neoplasia of cells
1.65E−64
4.1E−103
−0.704

0.474


Non-melanoma solid


−0.698

0.01
1.121
−1.478


tumor


Ovarian tumor


−0.668


Growth of epithelial
 3.1E−59
7.7E−164
−0.65

−1.58


tissue


Pancreatic carcinoma


−0.649


Fear


−0.637


Quantity of Ca2+
1.96E−55

−0.627
−0.11


0.224


Lung cancer
1.74E−74
1.33E−95 
−0.602


Ossification of bone


−0.588


Abnormality of


−0.524


cerebral cortex


Function of smooth


−0.516


muscle


Female genital


−0.502


neoplasm


Emotional behavior
1.13E−57

−0.502


Solid tumor


−0.473

1.29
0.992


Malignant connective

3.28E−97 
−0.471


or soft tissue


neoplasm


Liver tumor


−0.451
−1.91


Respiratory system
4.27E−70
2.31E−95 
−0.451


tumor


Cognitive impairment
 7.8E−118

−0.428


Thoracic cancer
5.97E−75
6.2E−100
−0.425


Glioma
2.96E−58

−0.416


Central nervous
4.16E−69
7.45E−77 
−0.411


system tumor


Central nervous
9.68E−69
1.55E−76 
−0.411


system solid tumor


Liquid tumor
3.25E−66
1.21E−82 
−0.398


Skin carcinoma


−0.391


Leukemic tumor
4.28E−54

−0.379


Gastrointestinal tract


−0.377


cancer


Abnormality of


−0.365


cerebrum


Concentration of lipid
2.48E−87
6.3E−118
−0.361

−0.575

−0.204


Glioma cancer
1.45E−57
5.12E−74 
−0.351


Tumor in nervous
 8.7E−72
3.4E−77 
−0.337


system


Colon cancer


−0.314


Upper gastrointestinal


−0.295


tract tumor


Hepatobiliary system


−0.293


cancer


Head and neck tumor


−0.269

−0.355


Colorectal cancer


−0.251


Liver cancer


−0.25


Proliferation of

4.7E−125
−0.219

−1.196


epithelial cells


Breast or pancreatic
1.55E−69

−0.211

−1.026


cancer


Tumorigenesis of


−0.168
−1.981

0.152


epithelial neoplasm


Development of


−0.152


colorectal tumor


Weight gain
1.15E−72

−0.15
0.625


Quantity of steroid


−0.127


hormone


Lung carcinoma
 3.9E−61

−0.113


B-cell


−0.085


lymphoproliferative


disorder


B-cell neoplasm
1.39E−70

−0.085


B cell cancer


−0.085


Lung tumor
1.04E−78
8.1E−103
−0.082


Gastrointestinal


−0.068


carcinoma


Epileptic seizure


−0.054


Endocrine gland tumor


−0.049

−0.067


Oscillation of Ca2+


−0.035


Tauopathy
0
5.43E−89 
*


Extracranial solid


0.01

0.369
1.474
0.529


tumor


Development of


0.02

0.669


sensory organ


Malignant neoplasm of


0.048


large intestine


Pancreatobiliary tumor


0.052


Secretion of


0.083


neurotransmitter


Sarcoma

1.96E−92 
0.083


Connective tissue

4.4E−105
0.086


tumor


Epilepsy
1.79E−93

0.091


Liver carcinoma


0.101


Cell death of brain
 6.8E−111

0.108


Thermoregulation


0.122


Pancreatic tumor


0.125


Skin tumor


0.148

−2.396


Thoracic neoplasm
2.34E−79
2.5E−108
0.173


Development of


0.174


respiratory system


tumor


Necrosis of epithelial
4.75E−82
6.8E−155
0.183

1.674


tissue


Cell death of central
   3E−107

0.185


nervous system cells


B-cell lymphoma


0.19


Cell death of tumor
3.79E−88
5.8E−159
0.215

−0.811
0.178


cell lines


Digestive organ tumor


0.227
−1.396
−1.348

−1.481


Connective or soft

1.2E−119
0.231


tissue tumor


Formation of eye


0.251

1.664


Neuronal cell death
 9.9E−137
4.87E−88 
0.254


Stomach tumor


0.275


Growth of axons


0.275


Disorder of pregnancy


0.29


Breast or colorectal
 6.1E−55

0.33

−1.953


cancer


Sensory system


0.335

−0.307


development


Development of lung


0.347


tumor


Cell death of brain
 7.5E−108

0.349


cells


Neurodegeneration of


0.385


cerebral cortex


Anxiety


0.388


Breast carcinoma


0.418


Obesity
 5.6E−152

0.419

0.493

2.18


Development of


0.44


intestinal tumor


Development of


0.455
−1.326

−0.774


malignant tumor


Lung adenocarcinoma


0.468


Skin cancer


0.488


Non-small cell lung
1.09E−56

0.493


carcinoma


Movement Disorders
   2E−227

0.536


Diffuse lymphoma


0.555


Gastric lesion


0.565


Occlusion of artery
   3E−152
3.2E−178
0.586


Non-Hodgkin


0.621


lymphoma


Locomotion
1.34E−66

0.697


Breast or ovarian


0.73


carcinoma


Breast cancer
2.25E−70
2.2E−134
0.73


Glucose metabolism
 1.4E−184
1.4E−170
0.75

0.439


disorder


Incidence of tumor


0.782
−1.614

−0.865


Atherosclerosis
 9.5E−131
2.8E−174
0.783


Amyloidosis
0
1.46E−91 
0.812


Liver lesion

1.4E−110
0.833


Mood Disorders
 2.4E−173

0.836


Depressive disorder
 9.7E−162

0.836


Lymphohematopoietic
1.28E−94
6.2E−121
0.845


cancer


Paired-pulse


0.852


facilitation


Lymphoreticular
6.38E−75

0.856

−1.224


neoplasm


Colon tumor


0.864


Apoptosis of tumor cell
4.41E−93
5.3E−155
0.867

−0.941
0.783


lines


Cell death of epithelial
4.48E−69

3E−123

0.886

1.993


cells


Vaso-occlusion
 6.2E−151
2.9E−179
0.909
1.264


Subcutaneous tumor


0.911


Colorectal tumor


0.93


Occlusion of blood
 1.7E−152
3.4E−180
0.969


vessel


Lymphatic system
4.79E−88

0.977

−0.956


tumor


Breast or ovarian
 7.8E−65
4.6E−113
1.011

−1.953


cancer


Hypertrophy
1.65E−56
2.6E−219
1.011


Hematologic cancer
1.05E−92
2.2E−115
1.074
−1.067
−1.725

−2.216


Large intestine


1.126
−1.192


neoplasm


Lymphoid cancer
1.85E−77
1.8E−114
1.127

−0.956


Hypertension
4.14E−89

1.128


Gastrointestinal


1.181


adenocarcinoma


Frequency of tumor


1.228
−2.128

−1.519


Lymphohematopoietic
  1E−96
6.2E−133
1.232


neoplasia


Skin lesion


1.234

−0.111

0.532


Neck neoplasm


1.257


Mammary tumor
3.35E−72
5.2E−153
1.261


Motor dysfunction or
 7.7E−228

1.269


movement disorder


Gastrointestinal tumor


1.279
−1.029
−1.215

−1.284


Hematologic cancer of
2.64E−71

4E−144

1.314

−1.486


cells


Disorder of blood
3.79E−97

1.325


pressure


Hematopoietic
2.37E−95

1.338
−0.686
−1.002

−2.027


neoplasm


Seizure disorder
   3E−118

1.343



1.376


Seizures
1.01E−97

1.362


Necrosis
 3.1E−153
1.4E−251
1.376

0.228
0.213


Peripheral vascular
 5.7E−170

1.389

1


disease


Lymphoproliferative
2.49E−83

2E−104

1.435

−1.727


disorder


Neoplasia of
 5.5E−88
1.3E−149
1.44

−1.486


leukocytes


Intestinal tumor


1.486

−1.09


Lymphocytic cancer
3.97E−73

1.569

−1.486


Lymphocytic
 2.2E−82
4.3E−139
1.569

−1.486


neoplasm


Cell death of muscle
 1.7E−54
9.9E−127
1.829


cells


Renal impairment
 4.4E−100
3.2E−101
1.835

0.555


Failure of kidney
4.17E−85
4.4E−107
1.835

0.555


Cerebrovascular
 1.3E−186

1.845


dysfunction


Lymphoma
 4.3E−54

1E−143

1.896

−1.224


Development of


1.909


digestive organ tumor


Cell death of muscle

1.7E−134
1.921


Necrosis of muscle
3.34E−54
1.4E−133
1.921


Neurodegeneration
3.46E−85

2.046


Abnormality of heart
1.36E−63
7.5E−128
2.157


ventricle


Development of
 2.1E−59

2.423


benign tumor


Benign Tumors
3.71E−75

2.493


Benign lesion
9.74E−87

2.695


Cell death
 6.5E−155
3.7E−254
3.326

0.791
−1.269


Apoptosis
 7.5E−135
1.1E−244
3.418

−0.676
−0.256


Hyperactive behavior


4.022


Bleeding
7.55E−94
2.5E−102
4.287

−2.118


Neonatal death


6.487


Perinatal death


8.086


Morbidity or mortality
 4.8E−108
2.3E−216
11.646

−2.848


Organismal death
   2E−109
3.5E−213
11.962

−2.885
















TABLE 41







Diseases and molecular functions affected by TBI after 7 days and the effects of LMW-DS
















Diseases and








Diseases and
functions




TBI + 15



functions affected
affected in




mg/kg



in dementia and
fibrosis and

TBI + 1
TBI + 5
TBI + 15
repeat


Diseases or functions
neurodegeneration
scarring (p

mg/kg
mg/kg
mg/kg
dose


annotation
(p value)
value)
TBI
LMW-DS
LMW-DS
LMW-DS
LMW-DS





Cell movement
 1.1E−108
5.3E−246
Inhibited
Inhibited
Activated

Activated


Size of body


Inhibited

Activated

Activated


Organization of
1.61E−68
3.76E−76 
Inhibited

Activated

Activated


cytoskeleton


Migration of cells
 6.8E−103
4.3E−241
Inhibited

Activated

Activated


Organization of
4.68E−69
7.6E−74 
Inhibited



Activated


cytoplasm


Cell survival
1.22E−94

4E−184

Inhibited

Activated


Formation of
2.84E−52

Inhibited



Activated


cellular


protrusions


Development of
7.82E−63

Inhibited

Activated

Activated


neurons


Quantity of cells
 2.7E−102
2.9E−233
Inhibited

Activated
Activated
Activated


Microtubule
 2.4E−63

Inhibited

Activated

Activated


dynamics


Cell viability
9.14E−94

1E−176

Inhibited
Inhibited
Activated


Cell viability of
7.56E−63
1.1E−114
Inhibited

Activated


tumor cell lines


Developmental


Inhibited
Inhibited


Activated


process of


synapse


Development of


Inhibited



Activated


gap junctions


Formation of


Inhibited
Inhibited


plasma


membrane


Cell-cell contact


Inhibited



Activated


Assembly of


Inhibited


intercellular


junctions


Formation of


Inhibited



Activated


intercellular


junctions


Morphogenesis of
4.16E−54

Inhibited



Activated


neurons


Neuritogenesis
2.04E−53

Inhibited


Invasion of cells
1.26E−64
1.1E−148
Inhibited

Activated


Homing of cells


2E−126

Inhibited


Chemotaxis

4.9E−120
Inhibited

Activated


Angiogenesis
6.89E−75

1E−210

Inhibited

Activated


Development of
 1.8E−77
1.8E−221
Inhibited

Activated


vasculature


Collapse of


Inhibited


growth cone


Cell movement of
1.17E−69
1.1E−156
Inhibited

Activated


tumor cell lines


Vasculogenesis
3.63E−68
6.7E−185
Inhibited

Activated


Neurotransmission
 3.7E−100

Inhibited



Activated


Cell movement of

2.38E−86 
Inhibited

Activated


endothelial cells


Transactivation of


Inhibited


RNA


Transactivation


Inhibited


Long-term
6.19E−76

Inhibited


potentiation


Transcription

3.3E−92 
Inhibited

Activated
Activated


Transcription of

2.71E−75 
Inhibited

Activated
Activated


RNA


Synaptic


Inhibited


transmission of


cells


Plasticity of


Inhibited


synapse


Potentiation of
1.58E−77

Inhibited


synapse


Migration of

1.18E−81 
Inhibited

Activated


endothelial cells


Synaptic
 8.3E−97

Inhibited


transmission


Long-term


Inhibited


potentiation of


brain


Migration of tumor
9.34E−62
5.5E−134
Inhibited


cell lines


Quantity of
1.57E−59

Inhibited


neurons


Quantity of
4.93E−60

Inhibited


nervous tissue


Development of

1.77E−77 
Inhibited

Inhibited


genitourinary


system


Long-term


Inhibited


potentiation of


cerebral cortex


Cellular
   1E−117
1.6E−154
Inhibited

Activated


homeostasis


Expression of

5.44E−90 
Inhibited

Activated


RNA


Growth of

4.3E−157
Inhibited

Inhibited


connective tissue


Nonhematologic


Inhibited

Inhibited

Inhibited


malignant


neoplasm


Synaptic


Inhibited


transmission of


nervous tissue


Shape change of


Inhibited


neurites


Branching of


Inhibited


neurites


Transcription of


Inhibited


DNA


Long-term


Inhibited


potentiation of


hippocampus


Behavior
 7.7E−146

Inhibited


Development of

7.2E−188
Inhibited

Activated


body trunk


Cognition
 9.8E−112

Inhibited


Branching of


Inhibited


neurons


Learning
 1.2E−108

Inhibited



Activated


Sprouting
6.17E−59

Inhibited


Branching of cells
8.41E−54

Inhibited



Activated


Coordination


Inhibited


Potentiation of


Inhibited


hippocampus


Long-term


Inhibited


memory


Differentiation of


Inhibited


neurons


Cell movement of
2.64E−79
2.3E−210
Inhibited


blood cells


Leukocyte
1.46E−79
3.4E−205
Inhibited

Activated
Activated


migration


Shape change of


Inhibited


neurons


Dendritic


Inhibited



Inhibited


growth/branching


Memory
1.31E−83

Inhibited


Carcinoma


Inhibited

Inhibited
Activated
Inhibited


Genitourinary


Inhibited


adenocarcinoma


Formation of brain


Inhibited


Growth of tumor
2.27E−68
2.8E−193
Inhibited

Activated


Growth of

5.6E−102
Inhibited


organism


Synthesis of lipid
1.14E−78
5.59E−92 
Inhibited
Activated
Activated


Respiratory


Inhibited


system


development


Differentiation of


Inhibited


osteoblasts


Conditioning


Inhibited


Proliferation of
4.49E−61

Inhibited


neuronal cells


Male genital


Inhibited


neoplasm


Synaptic


Inhibited


depression


Development of
8.97E−54
4.4E−109
Inhibited

Activated


epithelial tissue


Density of


Inhibited


neurons


Proliferation of

4.7E−152
Inhibited

Inhibited


connective tissue


cells


Formation of lung


Inhibited


Prostatic


Inhibited


carcinoma


Formation of


Inhibited


rhombencephalon


Innervation


Inhibited


Guidance of


Inhibited


axons


Genitourinary


Inhibited

Activated


carcinoma


Discomfort
 4.2E−181

Inhibited


Metabolism of


Inhibited
Inhibited


hormone


Cell movement of


Inhibited


neurons


Long term


Inhibited


depression


Differentiation of


Inhibited


osteoblastic-


lineage cells


Outgrowth of cells
2.39E−58

Inhibited


Malignant solid


Inhibited

Activated


tumor


Non-


Inhibited

Activated

Inhibited


hematological


solid tumor


Growth of
5.41E−59

Inhibited


neurites


Transport of
 1.6E−117

Inhibited

Activated

Activated


molecule


Formation of


Inhibited


hippocampus


Prostatic tumor


Inhibited


Formation of


Inhibited


muscle


Genital tumor
1.07E−52

Inhibited

Activated


Fibrogenesis


Inhibited


Prostatic


Inhibited


adenocarcinoma


Adenocarcinoma


Inhibited

Inhibited

Inhibited


Transport of K+


Inhibited


Abdominal cancer


Inhibited
Inhibited
Inhibited

Inhibited


Cardiogenesis

2.07E−92 
Inhibited


Malignant


Inhibited


neoplasm of


retroperitoneum


Development of


Inhibited


central nervous


system cells


Development of


Inhibited


reproductive


system


Epithelial


Inhibited
Inhibited

Activated
Inhibited


neoplasm


Malignant


Inhibited


neoplasm of male


genital organ


Development of


Inhibited

Activated


head


Development of


Inhibited

Activated


body axis


Patterning of


Inhibited


rhombencephalon


Axonogenesis


Inhibited


Tumorigenesis of


Inhibited
Inhibited
Inhibited
Activated
Inhibited


tissue


Synthesis of nitric
2.05E−53
1.3E−98 
Inhibited


oxide


Melanoma


Inhibited


Outgrowth of
5.63E−52

Inhibited


neurites


Urinary tract
6.04E−53

Inhibited


cancer


Abdominal


Inhibited

Activated


adenocarcinoma


Transport of ion


Inhibited



Activated


Hyperalgesia
1.56E−55

Inhibited


Development of


Inhibited


cerebral cortex


Dyskinesia
 3.5E−136

Inhibited


Proliferation of

5.2E−120
Inhibited


smooth muscle


cells


Differentiation of
 1.6E−52
3.4E−143
Inhibited
Inhibited
Activated

Inhibited


connective tissue


cells


Prostate cancer


Inhibited


Muscle


Inhibited


contraction


Pelvic tumor
1.81E−59

Inhibited
Inhibited
Activated


Transport of metal


Inhibited


ion


Formation of


Inhibited


filaments


Genital tract


Inhibited


cancer


Neoplasia of


Inhibited


epithelial cells


Transport of


Inhibited


cation


Quantity of

4.8E−113
Inhibited

Activated


connective tissue


Differentiation of


Inhibited


nervous system


Migration of


Inhibited


neurons


Transport of metal


Inhibited



Activated


Upper


Inhibited


gastrointestinal


tract cancer


Malignant
5.22E−63

Inhibited
Inhibited
Activated


genitourinary solid


tumor


Development of


Inhibited


central nervous


system


Differentiation of

3.9E−104
Inhibited

Activated


bone


Proliferation of
1.11E−56
1.8E−148
Inhibited


muscle cells


Formation of


Inhibited


dendrites


Development of


Inhibited


cytoplasm


Spatial learning


Inhibited


Disorder of basal
 6.6E−167

Inhibited


ganglia


Cued conditioning


Inhibited


Formation of


Inhibited


cytoskeleton


Transport of


Inhibited


inorganic cation


Neurological
 2.6E−167

Inhibited


signs


Development of


Inhibited


genital tumor


Pelvic cancer
 1.1E−54

Inhibited


Central nervous
2.25E−65
1.15E−85 
Inhibited


system cancer


Cell cycle

3.6E−129
Inhibited

Activated


progression


Heart rate

3.1E−76 
Inhibited


Action potential of


Inhibited


neurons


Action potential of


Inhibited


cells


Phosphorylation


Inhibited


of protein


Abdominal


Inhibited
Inhibited
Inhibited


carcinoma


Digestive system


Inhibited
Inhibited
Inhibited

Inhibited


cancer


Squamous-cell


Inhibited


carcinoma


Formation of


Inhibited


forebrain


Formation of


Inhibited


telencephalon


Hyperesthesia
2.75E−59

Inhibited


Differentiation of

1.4E−102
Inhibited
Inhibited
Activated
Activated
Inhibited


bone cells


Cancer of
 3.5E−54

Inhibited

Activated


secretory


structure


Pancreatic ductal


Inhibited


carcinoma


Pancreatic ductal


Inhibited


adenocarcinoma


Pancreatic


Inhibited


adenocarcinoma


Quantity of metal
 2.5E−56

Inhibited


ion


Organization of


Inhibited


actin cytoskeleton


Development of


Inhibited


Activated


carcinoma


B-cell non-


Inhibited


Hodgkin


lymphoma


Formation of actin


Inhibited


stress fibers


Mature B-cell
6.27E−65

Inhibited


neoplasm


Glioblastoma
3.36E−56

Inhibited


Pancreatic cancer


Inhibited


Sensory disorders
7.43E−58

Inhibited


Development of


Inhibited


gastrointestinal


tract


Quantity of metal
8.53E−63
1.99E−81 
Inhibited
Activated


Cell movement of
8.57E−58
1.3E−173
Inhibited

Activated
Activated


myeloid cells


Function of

6.94E−87 
Inhibited


muscle


Cancer


Inhibited

Activated
Activated


Formation of actin


Inhibited


filaments


Head and neck


Inhibited


carcinoma


Excitatory


Inhibited


postsynaptic


potential


Progressive
 6.6E−215

Inhibited


neurological


disorder


Development of


Inhibited


adenocarcinoma


Cancer of cells
 7.6E−56
1.17E−97 
Inhibited

Activated


Concentration of


Inhibited
Inhibited


Activated


hormone


Genitourinary
6.65E−66

Inhibited

Activated
Activated


tumor


Abdominal


Inhibited

Activated
Inhibited
Inhibited


neoplasm


Spatial memory


Inhibited


Urinary tract
8.53E−58
3.28E−74 
Inhibited


tumor


Head and neck


Inhibited

Inhibited


cancer


Upper


Inhibited


gastrointestinal


carcinoma


Extraadrenal


Inhibited


retroperitoneal


tumor


Secretion of
1.66E−75

Inhibited

Activated


molecule


Astrocytoma


Inhibited


Gonadal tumor


Inhibited


Quantity of
3.84E−52
2.39E−87 
Inhibited
Activated


Inhibited


carbohydrate


Ductal carcinoma


Inhibited


Development of


Inhibited


digestive system


Tumorigenesis of


Inhibited


reproductive tract


Development of

1.1E−76 
Inhibited
Inhibited
Activated
Activated
Inhibited


connective tissue


cells


Neoplasia of cells
1.65E−64
4.1E−103
Inhibited

Activated


Non-melanoma


Inhibited

Activated
Activated
Inhibited


solid tumor


Ovarian tumor


Inhibited


Growth of
 3.1E−59
7.7E−164
Inhibited

Inhibited


epithelial tissue


Pancreatic


Inhibited


carcinoma


Fear


Inhibited


Quantity of Ca2+
1.96E−55

Inhibited
Inhibited


Activated


Lung cancer
1.74E−74
1.33E−95 
Inhibited


Ossification of


Inhibited


bone


Abnormality of


Inhibited


cerebral cortex


Function of


Inhibited


smooth muscle


Female genital


Inhibited


neoplasm


Emotional
1.13E−57

Inhibited


behavior


Solid tumor


Inhibited

Activated
Activated


Malignant

3.28E−97 
Inhibited


connective or soft


tissue neoplasm


Liver tumor


Inhibited
Inhibited


Respiratory
4.27E−70
2.31E−95 
Inhibited


system tumor


Cognitive
 7.8E−118

Inhibited


impairment


Thoracic cancer
5.97E−75
6.2E−100
Inhibited


Glioma
2.96E−58

Inhibited


Central nervous
4.16E−69
7.45E−77 
Inhibited


system tumor


Central nervous
9.68E−69
1.55E−76 
Inhibited


system solid


tumor


Liquid tumor
3.25E−66
1.21E−82 
Inhibited


Skin carcinoma


Inhibited


Leukemic tumor
4.28E−54

Inhibited


Gastrointestinal


Inhibited


tract cancer


Abnormality of


Inhibited


cerebrum


Concentration of
2.48E−87
6.3E−118
Inhibited

Inhibited

Inhibited


lipid


Glioma cancer
1.45E−57
5.12E−74 
Inhibited


Tumor in nervous
 8.7E−72
3.4E−77 
Inhibited


system


Colon cancer


Inhibited


Upper


Inhibited


gastrointestinal


tract tumor


Hepatobiliary


Inhibited


system cancer


Head and neck


Inhibited

Inhibited


tumor


Colorectal cancer


Inhibited


Liver cancer


Inhibited


Proliferation of

4.7E−125
Inhibited

Inhibited


epithelial cells


Breast or
1.55E−69

Inhibited

Inhibited


pancreatic cancer


Tumorigenesis of


Inhibited
Inhibited

Activated


epithelial


neoplasm


Development of


Inhibited


colorectal tumor


Weight gain
1.15E−72

Inhibited
Activated


Quantity of steroid


Inhibited


hormone


Lung carcinoma
 3.9E−61

Inhibited


B-cell


Inhibited


lymphoproliferative


disorder


B-cell neoplasm
1.39E−70

Inhibited


B cell cancer


Inhibited


Lung tumor
1.04E−78
8.1E−103
Inhibited


Gastrointestinal


Inhibited


carcinoma


Epileptic seizure


Inhibited


Endocrine gland


Inhibited

Inhibited


tumor


Oscillation of Ca2+


Inhibited


Tauopathy
0
5.43E−89 
*


Extracranial solid


Activated

Activated
Activated
Activated


tumor


Development of


Activated

Activated


sensory organ


Malignant


Activated


neoplasm of large


intestine


Pancreatobiliary


Activated


tumor


Secretion of


Activated


neurotransmitter


Sarcoma

1.96E−92 
Activated


Connective tissue

4.4E−105
Activated


tumor


Epilepsy
1.79E−93

Activated


Liver carcinoma


Activated


Cell death of brain
 6.8E−111

Activated


Thermoregulation


Activated


Pancreatic tumor


Activated


Skin tumor


Activated

Inhibited


Thoracic
2.34E−79
2.5E−108
Activated


neoplasm


Development of


Activated


respiratory


system tumor


Necrosis of
4.75E−82
6.8E−155
Activated

Activated


epithelial tissue


Cell death of
   3E−107

Activated


central nervous


system cells


B-cell lymphoma


Activated


Cell death of
3.79E−88
5.8E−159
Activated

Inhibited
Activated


tumor cell lines


Digestive organ


Activated
Inhibited
Inhibited

Inhibited


tumor


Connective or soft

1.2E−119
Activated


tissue tumor


Formation of eye


Activated

Activated


Neuronal cell
 9.9E−137
4.87E−88 
Activated


death


Stomach tumor


Activated


Growth of axons


Activated


Disorder of


Activated


pregnancy


Breast or
 6.1E−55

Activated

Inhibited


colorectal cancer


Sensory system


Activated

Inhibited


development


Development of


Activated


lung tumor


Cell death of brain
 7.5E−108

Activated


cells


Neurodegeneration


Activated


of cerebral


cortex


Anxiety


Activated


Breast carcinoma


Activated


Obesity
 5.6E−152

Activated

Activated

Activated


Development of


Activated


intestinal tumor


Development of


Activated
Inhibited

Inhibited


malignant tumor


Lung


Activated


adenocarcinoma


Skin cancer


Activated


Non-small cell
1.09E−56

Activated


lung carcinoma


Movement
   2E−227

Activated


Disorders


Diffuse lymphoma


Activated


Gastric lesion


Activated


Occlusion of
   3E−152
3.2E−178
Activated


artery


Non-Hodgkin


Activated


lymphoma


Locomotion
1.34E−66

Activated


Breast or ovarian


Activated


carcinoma


Breast cancer
2.25E−70
2.2E−134
Activated


Glucose
 1.4E−184
1.4E−170
Activated

Activated


metabolism


disorder


Incidence of


Activated
Inhibited

Inhibited


tumor


Atherosclerosis
 9.5E−131
2.8E−174
Activated


Amyloidosis
0
1.46E−91 
Activated


Liver lesion

1.4E−110
Activated


Mood Disorders
 2.4E−173

Activated


Depressive
 9.7E−162

Activated


disorder


Lymphohematopoietic
1.28E−94
6.2E−121
Activated


cancer


Paired-pulse


Activated


facilitation


Lymphoreticular
6.38E−75

Activated

Inhibited


neoplasm


Colon tumor


Activated


Apoptosis of
4.41E−93
5.3E−155
Activated

Inhibited
Activated


tumor cell lines


Cell death of
4.48E−69

3E−123

Activated

Activated


epithelial cells


Vaso-occlusion
 6.2E−151
2.9E−179
Activated
Activated


Subcutaneous


Activated


tumor


Colorectal tumor


Activated


Occlusion of
 1.7E−152
3.4E−180
Activated


blood vessel


Lymphatic system
4.79E−88

Activated

Inhibited


tumor


Breast or ovarian
 7.8E−65
4.6E−113
Activated

Inhibited


cancer


Hypertrophy
1.65E−56
2.6E−219
Activated


Hematologic
1.05E−92
2.2E−115
Activated
Inhibited
Inhibited

Inhibited


cancer


Large intestine


Activated
Inhibited


neoplasm


Lymphoid cancer
1.85E−77
1.8E−114
Activated

Inhibited


Hypertension
4.14E−89

Activated


Gastrointestinal


Activated


adenocarcinoma


Frequency of


Activated
Inhibited

Inhibited


tumor


Lymphohematopoietic
  1E−96
6.2E−133
Activated


neoplasia


Skin lesion


Activated

Inhibited

Activated


Neck neoplasm


Activated


Mammary tumor
3.35E−72
5.2E−153
Activated


Motor dysfunction
 7.7E−228

Activated


or movement


disorder


Gastrointestinal


Activated
Inhibited
Inhibited

Inhibited


tumor


Hematologic
2.64E−71

4E−144

Activated

Inhibited


cancer of cells


Disorder of blood
3.79E−97

Activated


pressure


Hematopoietic
2.37E−95

Activated
Inhibited
Inhibited

Inhibited


neoplasm


Seizure disorder
   3E−118

Activated



Activated


Seizures
1.01E−97

Activated


Necrosis
 3.1E−153
1.4E−251
Activated

Activated
Activated


Peripheral
 5.7E−170

Activated

Activated


vascular disease


Lymphoproliferative
2.49E−83

2E−104

Activated

Inhibited


disorder


Neoplasia of
 5.5E−88
1.3E−149
Activated

Inhibited


leukocytes


Intestinal tumor


Activated

Inhibited


Lymphocytic
3.97E−73

Activated

Inhibited


cancer


Lymphocytic
 2.2E−82
4.3E−139
Activated

Inhibited


neoplasm


Cell death of
 1.7E−54
9.9E−127
Activated


muscle cells


Renal impairment
 4.4E−100
3.2E−101
Activated

Activated


Failure of kidney
4.17E−85
4.4E−107
Activated

Activated


Cerebrovascular
 1.3E−186

Activated


dysfunction


Lymphoma
 4.3E−54

1E−143

Activated

Inhibited


Development of


Activated


digestive organ


tumor


Cell death of

1.7E−134
Activated


muscle


Necrosis of
3.34E−54
1.4E−133
Activated


muscle


Neurodegeneration
3.46E−85

Activated


Abnormality of
1.36E−63
7.5E−128
Activated


heart ventricle


Development of
 2.1E−59

Activated


benign tumor


Benign Tumors
3.71E−75

Activated


Benign lesion
9.74E−87

Activated


Cell death
 6.5E−155
3.7E−254
Activated

Activated
Inhibited


Apoptosis
 7.5E−135
1.1E−244
Activated

Inhibited
Inhibited


Hyperactive


Activated


behavior


Bleeding
7.55E−94
2.5E−102
Activated

Inhibited


Neonatal death


Activated


Perinatal death


Activated


Morbidity or
 4.8E−108
2.3E−216
Activated

Inhibited


mortality


Organismal death
   2E−109
3.5E−213
Activated

Inhibited





* ambiguous effect






Discussion


LMW-DS was able to counteract and reverse the effects of TBI in most pathways and molecular process. The data indicated that LMW-DS was able to normalize tissue gene expression and function after TBI. The functions and pathways studied were highly relevant to neurodegenerative disease as well as fibrosis and scarring. From the results it was apparent that LMW-DS was able to affect these pathways in a beneficial way even when the disruption was severe.


The embodiments described above are to be understood as a few illustrative examples of the present invention. It will be understood by those skilled in the art that various modifications, combinations and changes may be made to the embodiments without departing from the scope of the present invention. In particular, different part solutions in the different embodiments can be combined in other configurations, where technically possible.

Claims
  • 1. A method for dissolving scars, the method comprises administering dextran sulfate, or a pharmaceutically acceptable salt thereof, to a subject suffering from fibrosis or a fibrotic disease, disorder or condition to dissolve an established scar in the subject.
  • 2. The method according to claim 1, wherein the dextran sulfate, or the pharmaceutically acceptable derivative thereof, has an average molecular weight equal to or below 10 000 Da.
  • 3. The method according to claim to 2, wherein the average molecular weight is within a range of 2 000 and 10 000 Da.
  • 4. The method according to claim to 3, wherein the average molecular weight is within a range of 3 000 and 10 000 Da.
  • 5. The method according to claim to 4, wherein the average molecular weight is within a range of and more preferably within a range of 3 500 and 9 500 Da.
  • 6. The method according to claim to 5, wherein the average molecular weight is within a range of 4 500 and 7 500 Da.
  • 7. The method according to claim to 6, wherein the average molecular weight is within a range of 4 500 and 5 500 Da.
  • 8. The method according to according to claim 1, wherein the dextran sulfate, or the pharmaceutically acceptable derivative thereof, has an average sulfur content in a range from 15 to 20%.
  • 9. The method according to according to claim 8, wherein the dextran sulfate, or the pharmaceutically acceptable derivative thereof, has an average sulfur content of about 17%.
  • 10. The method according to claim 1, wherein the dextran sulfate, or the pharmaceutically acceptable salt thereof, has a number average molecular weight (Mn) as measured by nuclear magnetic resonance (NMR) spectroscopy within an interval of 1850 and 3500 Da.
  • 11. The method according to claim 10, wherein the dextran sulfate, or the pharmaceutically acceptable salt thereof, has a Mn as measured by NMR spectroscopy within an interval of 1850 and 2500 Da.
  • 12. The method according to claim 11, wherein the dextran sulfate, or the pharmaceutically acceptable salt thereof, has a Mn as measured by NMR spectroscopy within an interval of 1850 and 2300 Da.
  • 13. The method according to claim 12, wherein the dextran sulfate, or the pharmaceutically acceptable salt thereof, has a Mn as measured by NMR spectroscopy within an interval of 1850 and 2000 Da.
  • 14. The method according to claim 1, wherein the dextran sulfate, or the pharmaceutically acceptable salt thereof, has an average sulfate number per glucose unit within an interval of 2.5 and 3.0.
  • 15. The method according to claim 14, wherein the dextran sulfate, or the pharmaceutically acceptable salt thereof, has an average sulfate number per glucose unit within an interval of 2.5 and 2.8.
  • 16. The method according to claim 15, wherein the dextran sulfate, or the pharmaceutically acceptable salt thereof, has an average sulfate number per glucose unit within an interval of 2.6 and 2.7.
  • 17. The method according to claim 1, wherein the dextran sulfate, or the pharmaceutically acceptable salt thereof, has on average 5.1 glucose units and an average sulfate number per glucose unit of 2.6 to 2.7.
  • 18. The method according to claim 1, wherein the pharmaceutically acceptable salt thereof is a sodium salt of dextran sulfate.
  • 19. The method according to claim 1, wherein administering dextran sulfate, or the pharmaceutically acceptable salt thereof, comprises administering an aqueous injection solution comprising dextran sulfate, or the pharmaceutically acceptable salt thereof, to the subject
  • 20. The method according to claim 1, wherein administering dextran sulfate, or the pharmaceutically acceptable salt thereof, comprises systemically administering dextran sulfate, or the pharmaceutically acceptable salt thereof, to the subject
  • 21. The method according to claim 20, wherein administering dextran sulfate, or the pharmaceutically acceptable salt thereof, comprises intravenously or subcutaneously administering dextran sulfate, or the pharmaceutically acceptable salt thereof, to the subject
  • 22. The method according to claim 1, wherein the fibrotic disease, disorder or condition is selected from the group consisting of glaucoma, proliferative vitreoretinopathy, brain or spinal trauma injuries, sub-arachnoid hemorrhage in the brain, invasive surgical procedures, surgical adhesions, rotator cuff injuries, burns, reconstructive surgery, pulmonary fibrosis, idiopathic pulmonary fibrosis, progressive massive fibrosis, radiation-induced lung injury following treatment for cancer, cirrhosis, biliary atresia, atrial fibrosis, endomyocardial fibrosis, old myocardial infarction, glial scar, pancreatitis, arthrofibrosis, Crohn's disease, Dupuytren's contracture, keloid, mediastinal fibrosis, myelofibrosis, Peyronie's disease, nephrogenic systemic fibrosis, retroperitoneal fibrosis, scleroderma or systemic sclerosis.
Provisional Applications (1)
Number Date Country
62555848 Sep 2017 US
Divisions (1)
Number Date Country
Parent 16644575 Mar 2020 US
Child 18056301 US