THE USE OF GENE EXPRESSION PROFILING AS A BIOMARKER FOR ASSESSING THE EFFICACY OF HDAC INHIBITOR TREATMENT IN NEURODEGENERATIVE CONDITIONS

Abstract
The present invention relates to methods, arrays, and kits for identifying Alzheimer's disease phenotype and for assessing the efficacy of putative AD therapies. In some aspects provided, is a method of identifying the presence of an Alzheimer's disease phenotype in a subject comprising: performing an assay to measure an expression pattern of at least one Alzheimer's associated gene.
Description
FIELD OF THE INVENTION

The present invention relates to methods, arrays and kits for diagnosing and monitoring Alzheimer's disease and assessing efficacy of treatment.


BACKGROUND OF THE INVENTION

Alzheimer's disease (AD) is the leading cause of senile dementia worldwide, and leads to a marked loss in cognitive function, often reducing an afflicted person to an invalid state. AD has been estimated to afflict 5 to 11 percent of the population over age 65 and as much as 47 percent of the population over age 85. Moreover as adults born during the population boom of the 1940's and 1950's approach the age when AD becomes more prevalent, the control and treatment of AD will become an even more significant health care problem. However, to date there are no reliable methods to molecularly diagnose the disease or to monitor the efficacy of putative treatments.


SUMMARY OF THE INVENTION

This invention relates in some aspects to methods, arrays and kits for diagnosing and monitoring Alzheimer's disease and assessing efficacy of treatment. In some aspects provided, is a method of identifying the presence of an Alzheimer's disease phenotype in a subject comprising: performing an assay to measure an expression pattern of at least one Alzheimer's disease-associated gene in an isolated biological sample from the subject; and comparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene, wherein the results of the comparison are indicative of the presence of an Alzheimer's disease phenotype in the subject.


In another aspect provided, is a method of assessing the efficacy of a putative therapy for Alzheimer's disease in a subject in need thereof comprising obtaining a biological sample from the subject; administering the putative therapy to the subject to treat the Alzheimer's disease; measuring an expression pattern of at least one Alzheimer's disease-associated gene in the biological sample; and comparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene, wherein the results of the comparison are indicative of the efficacy of the putative therapy. In certain embodiments of the invention, the expression pattern of at least 5, at least 10, at least 25, at least 50, at least 75, at least 100, at least 125, at least 150, at least 175, at least 200, at least 225, at least 250 Alzheimer's disease-associated genes is measured, and compared to the appropriate reference expression pattern. In certain embodiment of the invention, a biological sample is selected from the group consisting of blood, serum, cerebrospinal fluid, urine and tissue. In certain embodiments, the appropriate reference expression pattern comprises expression levels of the Alzheimer's disease-associated genes in a biological sample obtained from a subject who does not have Alzheimer's disease. In certain embodiment of the invention, the appropriate reference expression pattern comprises expression levels of the Alzheimer's disease-associated genes in a biological sample obtained from the subject prior to treatment. In certain embodiments, the appropriate reference expression pattern comprises standard expression levels of the Alzheimer's disease-associated genes. In certain embodiments, the expression pattern of Alzheimer's disease associated genes of the subject is monitored over time. In certain embodiments, the Alzheimer's associated genes are selected based on their differential expression pattern in a biological sample obtained from a subject who does not have Alzheimer's disease against a subject who has Alzheimer's disease. In certain embodiments, the Alzheimer's associated genes are selected from Table 1, 2, and/or 3. In some embodiments, the Alzheimer's associated genes comprise Tbc1d2, Tspan33, and/or Kit.


In certain embodiments, the expression pattern of RNA encoded by the Alzheimer's disease associated genes is measured using a hybridization-based assay. In a further embodiment, the hybridization-based assay is an oligonucleotide array assay, an oligonucleotide conjugated bead assay, a molecular inversion probe assay, a serial analysis of gene expression (SAGE) assay, or an RT-PCR assay.


In certain embodiments, the expression pattern of proteins encoded by the Alzheimer's disease associated genes is measured using an antibody-based assay. In certain embodiments, the antibody-based assay is an antibody array assay, an antibody conjugated-bead assay, an enzyme-linked immunosorbent (ELISA) assay or an immunoblot assay.


In certain embodiments, the putative therapy is an HDAC inhibitor.


In some aspects provided, the invention relates to an array comprising oligonucleotide probes that hybridize to nucleic acids having sequence correspondence to mRNA of at least 10 Alzheimer's disease-associated genes, wherein the Alzheimer's disease-associated genes are selected based on their differential expression pattern in a biological sample obtained from a subject who does not have Alzheimer's disease against a subject who has Alzheimer's disease.


In some aspects provided, the invention relates to an array comprising antibodies that bind specifically to proteins encoded by at least 10 Alzheimer's disease-associated genes, wherein the Alzheimer's disease-associated genes are selected based on their differential expression pattern in a biological sample obtained from a subject who does not have Alzheimer's disease against a subject who has Alzheimer's disease.


In some aspects provided, the invention is a method of monitoring progression of Alzheimer's disease in a subject in need thereof comprising obtaining a first biological sample from the subject; measuring a first expression pattern of at least one Alzheimer's disease-associated gene in the biological sample; obtaining a second biological sample from the subject; measuring a second expression pattern of the at least one Alzheimer's disease-associated gene in the biological sample; and comparing the first expression pattern with the second expression pattern, wherein the results of the comparison are indicative of the extent of progression of Alzheimer's disease in the subject. In certain embodiments, the subject is treated with HDAC inhibitor therapy between obtaining the first and the second biological sample. In certain embodiments, the time between obtaining the first biological sample and obtaining the second biological sample from the subject is a time sufficient for a change in severity of Alzheimer's disease to occur in the individual.


In some embodiments, the method is a method for identifying a therapy for the subject, and wherein the method involves selecting an HDAC inhibitor as a therapy for the subject if the Alzheimer's disease associated gene that is modulated is a gene from Table 2 or 3. In certain embodiments, the method further comprises treating the subject with an HDAC inhibitor. In certain embodiments, the HDAC inhibitor is CI-994.


In some aspects provided, the invention relates to a kit comprising a package housing including one or more containers with reagent for measuring an expression pattern of at least one Alzheimer's disease-associated gene from the biological sample and instructions for determining the expression patterns of the at least one Alzheimer's disease-associated gene and comparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene. In certain embodiments, the reagent for measuring an expression pattern of at least one Alzheimer's disease-associated gene can be any of the arrays described herein.


According to some aspects of the invention, methods for treating a subject having Alzheimer's disease are provided. The methods comprise administering an inhibitor of an Alzheimer's disease gene upregulated in blood and brain to the subject in an amount effective to treat the subject. In some embodiments, the Alzheimer's disease gene upregulated in blood and brain is selected from the group consisting of Cdr2; Stk39; Tbc1d2; Bmp7; Nsdh1; Lbp; Tspan33; Cish; Fam46c; Cts1; Kit; Crtac1; Emilin1; Pafah2; Nqo1; Ptprf; and Ttc12.


In yet other aspects, the invention includes methods for treating inflammatory disorders of the brain and central nervous system (CNS). The method involves the administration of an HDAC inhibitor in an effective amount for treating the inflammatory disorder of the brain or CNS. In some embodiments the inflammatory disorder of the brain is an infectious agent associated disease such as encephalitis, Lyme's disease, abscess, meningitis, vasculitis, tropical spastic paraparesis, or cytomegalovirus (CMV) or human immunodeficiency virus (HIV) associated neuronal disease, or a non-cognitive neurodegenerative disease such as depression, multiple sclerosis, ADHD, ADD, anxiety, autism, Arachnoid cysts, Huntington's disease, Locked-in syndrome, Parkinson's disease, Tourette syndrome or bipolar disease.


In some embodiments the HDAC inhibitor is an HDAC2 inhibitor. The HDAC2 inhibitor may be a selective HDAC2 inhibitor. In other embodiments the HDAC2 inhibitor is non-selective but is not an HDAC1, HDAC5, HDAC6, HDAC7 and/or HDAC10 inhibitor. In yet other embodiments the HDAC2 inhibitor is an HDAC1/HDAC2 or an HDAC2/HDAC3 selective inhibitor or an HDAC1/HDAC2/HDAC3 selective inhibitor. In some embodiments the HDAC2 inhibitor is CI994.


In some embodiments the methods involve the measurement of inflammatory factors such as cytokines prior to, during and/or after treatment with the HDAC inhibitor. In some embodiments the inflammatory factors include at least one Alzheimer's disease-associated gene. In some embodiments the inflammatory factors are measured from a biological sample as described herein. The biological sample may be, for instance, blood or plasma.


In some aspects provided, the invention relates to a method of identifying the presence of an Alzheimer's disease phenotype in a subject. The method comprises performing an assay to measure a level of a beta-amyloid proteins in an isolated biological sample from the subject; and comparing the level of expression with an appropriate reference level of beta-amyloid proteins, wherein a lower level of beta-amyloid protein in the biological sample in comparison to a reference level associated with a normal subject is indicative of the presence of an Alzheimer's disease phenotype in the subject, and wherein the biological sample is a tissue other than the brain. In some embodiments, the biological sample is cerebrospinal fluid, blood or plasma.


Each of the embodiments and aspects of the invention can be practiced independently or combined. Also, the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting. The use of “including”, “comprising”, or “having”, “containing”, “involving”, and variations thereof herein, is meant to encompass the items listed thereafter and equivalents thereof as well as additional items.


These and other aspects of the inventions, as well as various advantages and utilities will be apparent with reference to the Detailed Description. Each aspect of the invention can encompass various embodiments as will be understood.


All documents identified in this application are incorporated in their entirety herein by reference.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a heatmap showing the expression levels of the 239 genes that are rescued by CI-994 treatment. These are the genes that are differentially expressed between SXFAD VEH, and SXFAD CI-994, but not differentially expressed between CON-VEH and SXFAD VEH (significance level p<0.05).



FIG. 2 is a heatmap showing 69 genes that are differentially expressed between wild type and SXFAD mice and rescued with CI-994 treatment. The 69 differentially expressed genes were identified by RNA-sequencing of PBMC of vehicle treated FAD, WT, and CI-994 treated FAD mice. Each line represents a differentially expressed gene and each row shows the gene expression averaged over two animals.





DETAILED DESCRIPTION OF THE INVENTION

The present invention relates, in one aspect, to the discovery of biomarkers for diagnosing Alzheimer's disease (AD) and for testing the efficiency of putative treatments. In some embodiments, the present invention relates to methods for identifying the presence of AD phenotype in a subject. In some embodiments, methods to assess the efficacy of a putative therapy for AD in a subject are provided. In some embodiments, methods of monitoring the progression of AD in a subject are provided. In some embodiments, the present invention relates to arrays comprising oligonucleotides or antibodies that recognize mRNAs and proteins of AD-associated genes.


AD is a degenerative brain disorder characterized by cognitive and noncognitive neuropsychiatric symptoms, which accounts for approximately 60% of all cases of dementia for patients over 65 years old. In Alzheimer's disease the cognitive systems that control memory have been damaged. Often long-term memory is retained while short-term memory is lost; conversely, memories may become confused, resulting in mistakes in recognizing people or places that should be familiar. Psychiatric symptoms are common in Alzheimer's disease, with psychosis (hallucinations and delusions) present in many patients. The neuropathology is characterized by the formation of amyloid plaques and neurofibrillary tangles in the brain.


Over the past years, it has been discovered that epigenetic mechanisms in terms of posttranslational histone modifications, such as acetylation, and DNA methylation are deregulated during the progression of AD and substantially contribute to the AD-related cognitive decline. Acetylation neutralizes the positive charge of the lysine side chain of histones, and is thought to impact chromatin structure in a manner that facilitates transcription (e.g., by allowing transcription factors increased access to DNA). In vivo, the acetylation state of chromatin is thought to be maintained by a dynamic balance between the activities of enzymes, histone acetyl transferases (HATs) and histone deacetylases (HDACs). Different classes of small molecule inhibitors of HDACs have shown promising potential in rescuing cognitive capacities in AD-related animal models. For example, the HDAC inhibitor 4-(acetylamino)-N-(2-aminophenyl)benzamide (CI-994) and its metabolite dinaline have been shown to improve cognitive function in vivo, and can be used to treat AD (see US 2011/0224303).


It has been demonstrated experimentally using a mouse model of familial AD, the 5XFAD mice, that a number of genes are differentially expressed in 5XFAD mice as compared to control mice without AD. Moreover, it was also discovered according to the invention that HDAC inhibitor treatment of the 5XFAD mice rescued to near completion the differentially expressed genes in 5XFAD mice to levels comparable to control mice indicating that the HDAC inhibitor treatment reversed multiple aspects of AD at the molecular level.


As described herein, a variety of genes are differentially expressed in subjects having AD as compared to subjects identified as not having AD. An “Alzheimer's disease-associated gene” is a gene whose expression level is modulated in an Alzheimer disease subject compared to the expression level of the same gene in a subject not having Alzheimer's disease. The difference in expression levels is statistically significant. Examples of AD-associated genes include, but are not limited to, the genes listed in Table 1, 2 and/or 3. In some embodiments, the AD-associated genes include, but are not limited to, Arc, Atp2b3, Bsg, Cdr2, Cnst, Coro2b, Cpne7, Kit, Lingo 1, and Stk39. In some embodiments, the AD-associated genes include, but are not limited to, Adcy1, Cabp7, Cxcl14, Igfbp5, Npas4, and Ppp1r1a. In some embodiments, the AD-associated genes include, but are not limited to Tbc1d2, Tspan33, and/or Kit. In some embodiments, the AD-associated genes are not Lbp, Crtac1 and/or Nqo1.


Accordingly, some aspects of the invention relate to methods of identifying the presence of an Alzheimer's disease phenotype in a subject. The method comprises performing an assay to measure an expression pattern of at least one Alzheimer's disease-associated gene in an isolated biological sample from the subject, and comparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene, wherein the results of the comparison are indicative of the presence of an Alzheimer's disease phenotype in the subject.


The methods disclosed herein may be used in combination with any one of a number of standard diagnostic approaches to identify AD in subjects, including but not limited to, mental status testing, physical and neurological exams, and brain imaging.


According to some aspects of the invention, methods of assessing the efficacy of a putative therapy for Alzheimer's disease in a subject are provided. The methods comprise obtaining a biological sample from the subject, administering the putative therapy to the subject to treat the Alzheimer's disease, measuring an expression pattern of at least one Alzheimer's disease-associated gene in the biological sample, and comparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene, wherein the results of the comparison are indicative of the efficacy of the putative therapy.


In some embodiments, the putative therapy for AD includes, but is not limited to, administration of an HDAC inhibitor. In some embodiments, the HDAC inhibitor is 4-(acetylamino)-N-(2-aminophenyl)benzamide (CI-994), its metabolite dinaline or pharmaceutically acceptable salts, esters, or prodrugs thereof. The CI-994 or dinaline may be administered at a dosage effectively low to maintain a cumulative effective CI-994 or dinaline serum concentration. The CI-994 or dinaline may be administered orally, transdermally, intravenously, cutaneously, subcutaneously, nasally, intramuscularly, intraperitonealy, intracranially, or intracerebroventricularly.


According to some aspects of the invention, methods of monitoring progression of Alzheimer's disease in a subject are provided. The methods comprise obtaining a first biological sample from the subject, measuring a first expression pattern of at least one Alzheimer's disease-associated gene in the biological sample, obtaining a second biological sample from the subject, measuring a second expression pattern of the at least one Alzheimer's disease-associated gene in the biological sample, comparing the first expression pattern with the second expression pattern, wherein the results of the comparison are indicative of the extent of progression of Alzheimer's disease in the subject.


As used herein, a “subject” refers to any mammal, including humans and non-humans, such as primates. Typically the subject is a human. A subject in need of identifying the presence of AD phenotype is any subject at risk of, or suspected of, having AD. A subject at risk of having AD may be a subject having one or more risk factors for AD. Risk factors for AD include, but are not limited to, age, family history, heredity and brain injury. Other risk factors will be apparent the skilled artisan. A subject suspected of having AD may be a subject having one or more clinical symptoms of AD. A variety of clinical symptoms of AD are known in the art. Examples of such symptoms include, but are not limited to, memory loss, depression, anxiety, language disorders (eg, anomia) and impairment in their visuospatial skills.


In some embodiments, the subject has AD. In some embodiments, the subject has AD and is undergoing a putative treatment for AD. The methods described herein may be used to determine the efficacy of a putative therapy for AD, i.e., for evaluating the responsiveness of the subject to a putative therapy for AD. Based on this evaluation, the physician may continue the therapy, if there is a favorable response, or discontinue and change to another therapy if the response is unfavorable.


The methods disclosed herein typically involve determining expression pattern of at least one AD-associated gene in a biological sample isolated from a subject. The methods may involve determining expression levels of at least 5, at least 10, at least 25, at least 50, at least 75, at least 100, at least 125, at least 150, at least 175, at least 200, at least 225, at least 250 Alzheimer's disease-associated genes in a biological sample isolated from a subject.


The expression pattern of the AD-associated genes may be measured by performing an assay to determine the expression level of an RNA encoded by an Alzheimer's disease associated gene. Examples of assay to measure RNA levels include, but are not limited to hybridization-based assays. Hybridization-based assay are well known in the art, and include, but are not limited to, an oligonucleotide array assay (e.g., microarray assays), an oligonucleotide conjugated bead assay (e.g., Multiplex Bead-based Luminex® Assays), a molecular inversion probe assay, a serial analysis of gene expression (SAGE) assay, northern blot assay, an in situ hybridization assay, cDNA array assays, RNase protein assays, or an RT-PCR assay. Multiplex systems, such as oligonucleotide arrays or bead-based nucleic acid assay systems are particularly useful for evaluating levels of a plurality of nucleic acids in simultaneously. RNA-Seq (mRNA sequencing using Ultra High throughput or Next Generation Sequencing) may also be used to determine expression levels. Other appropriate methods for determining levels of nucleic acids will be apparent to the skilled artisan.


The expression pattern of the AD-associated genes may be determined as the level of protein encoded by the genes. Examples of assays to measure protein levels include, but are not limited to, antibody-based assays. Antibody-based assays are well known in the art and include, but are not limited to, antibody array assays, antibody conjugated-bead assays, enzyme-linked immuno-sorbent (ELISA) assays, immunofluorescence microscopy assays, and immunoblot assays. Other methods for determining protein levels include mass spectroscopy, spectrophotometry, and enzymatic assays. Still other appropriate methods for determining levels of proteins will be apparent to the skilled artisan.


The methods may involve obtaining a biological sample from the subject. As used herein, the phrase “obtaining a biological sample” refers to any process for directly or indirectly acquiring a biological sample from a subject. For example, a clinical sample may be obtained (e.g., at a point-of-care facility, e.g., a physician's office, a hospital) by procuring a tissue or fluid sample (e.g., blood draw, spinal tap) from an individual. Alternatively, a biological sample may be obtained by receiving the biological sample (e.g., at a laboratory facility) from one or more persons who procured the sample directly from the individual.


In some embodiments, a first and second biological sample is obtained from the subject. In some embodiments, the subject is treated with a putative therapy for AD in the time between obtaining the first biological sample and obtaining the second biological sample from the subject. In some embodiments, the time between obtaining the first biological sample and obtaining the second biological sample the subject is a time sufficient for a change in severity of Alzheimer's disease to occur in the individual.


The term “biological sample” refers to a sample derived from a subject, e.g., a patient. Biological samples include, but are not limited to tissue (e.g., brain tissue), cerebrospinal fluid, blood, blood fractions (e.g., serum, plasma), sputum, fine needle biopsy samples, urine, peritoneal fluid, and pleural fluid, or cells therefrom (e.g., blood cells (e.g., white blood cells, red blood cells)). Accordingly, a biological sample may comprise a tissue, cell or biomolecule (e.g., RNA, protein). In some embodiments, the biological sample is a sample of peripheral blood, serum, cerebrospinal fluid, urine and tissue.


It is to be understood that a biological sample may be processed in any appropriate manner to facilitate determining expression levels of AD-associated genes. For example, biochemical, mechanical and/or thermal processing methods may be appropriately used to isolate a biomolecule of interest, e.g., RNA, protein, from a biological sample. A RNA sample may be isolated from a clinical sample by processing the biological sample using methods well known in the art and levels of an RNA encoded by an AD-associated gene may be determined in the RNA sample. A protein sample may be isolated from a clinical sample by processing the clinical sample using methods well known in the art, and levels of a protein encoded by an AD-associated gene may be determined in the protein sample. The expression levels of AD-associated genes may also be determined in a biological sample directly.


The methods disclosed herein also typically comprise comparing expression pattern of AD-associated genes with an appropriate reference expression pattern. An appropriate reference expression pattern can be determined or can be a pre-existing reference expression pattern. An appropriate reference expression pattern may be a threshold expression level of an AD-associated gene such that an expression level that is above or below the threshold level is indicative of AD in a subject. In some embodiments, the appropriate reference expression pattern comprises standard expression levels of the Alzheimer's disease-associated genes.


An appropriate reference expression pattern may be an expression pattern indicative of a subject that is free of AD. For example, an appropriate reference expression pattern may be representative of the expression level of a particular AD-associated gene in a biological sample obtained from a subject who does not have AD. When an appropriate reference expression pattern is indicative of a subject who does not have AD, a significant difference between an expression pattern determined from a subject in need of diagnosis or monitoring of AD and the appropriate reference expression pattern may be indicative of AD in the subject. Alternatively, when an appropriate reference expression pattern is indicative of the subject being free of AD, a lack of a significant difference between an expression pattern determined from a subject in need of diagnosis or monitoring of AD and the appropriate reference expression pattern may be indicative of the individual being free of AD.


An appropriate reference level may be an expression pattern indicative of AD. For example, an appropriate reference expression pattern may be representative of the expression pattern of an AD-associated gene in a biological sample obtained from a subject known to have AD. When an appropriate reference expression pattern is indicative of AD, a lack of a significant difference between an expression pattern determined from a subject in need of diagnosis and monitoring of AD and the appropriate reference expression pattern may be indicative of AD in the subject. Alternatively, when an appropriate reference expression pattern is indicative of AD, a significant difference between an expression pattern determined from a subject in need of diagnosis or monitoring of AD and the appropriate reference expression pattern may be indicative of the subject being free of AD.


An appropriate reference expression pattern may also comprise expression levels of the Alzheimer's disease-associated genes in a biological sample obtained from the subject prior to administration of a putative therapy for AD. In some embodiments, the expression pattern of AD-associated genes of the subject is monitored over time.


The magnitude of difference between an expression pattern and an appropriate reference expression pattern may vary. For example, a significant difference that indicates diagnosis or progression of AD may be detected when the expression level of an AD-associated gene in a biological sample is at least 1%, at least 5%, at least 10%, at least 25%, at least 50%, at least 100%, at least 250%, at least 500%, or at least 1000% higher, or lower, than an appropriate reference level of that gene. Similarly, a significant difference may be detected when the expression level of an AD-associated gene in a biological sample is at least 2-fold, at least 3-fold, at least 4-fold, at least 5-fold, at least 6-fold, at least 7-fold, at least 8-fold, at least 9-fold, at least 10-fold, at least 20-fold, at least 30-fold, at least 40-fold, at least 50-fold, at least 100-fold, or more higher, or lower, than the appropriate reference level of that gene. Significant differences may be identified by using an appropriate statistical test. Tests for statistical significance are well known in the art and are exemplified in Applied Statistics for Engineers and Scientists by Petruccelli, Chen and Nandram 1999 Reprint Ed.


It is to be understood that a plurality of expression levels may be compared with plurality of appropriate reference levels, e.g., on a gene-by-gene basis, as a vector difference, in order to assess the AD status of the subject or the efficacy of a putative treatment being administered to the subject. In such cases, Multivariate Tests, e.g., Hotelling's T2 test, may be used to evaluate the significance of observed differences. Such multivariate tests are well known in the art and are exemplified in Applied Multivariate Statistical Analysis by Richard Arnold Johnson and Dean W. Wichern Prentice Hall; 4th edition (Jul. 13, 1998).


According to some aspects of the invention, methods for identifying a therapy for a subject are provided. The methods comprise selecting an HDAC inhibitor as a therapy for the subject if the Alzheimer's disease associated gene that is modulated is a gene from Table 2 or 3. In some embodiments, the methods further comprise treating the subject with an HDAC inhibitor. In some embodiments, the HDAC inhibitor is CI-994.


According to some aspects of the invention, methods for treating a subject having Alzheimer's disease are provided. The methods comprise administering an inhibitor of an Alzheimer's disease gene upregulated in blood and brain to the subject in an amount effective to treat the subject. In some embodiments, the Alzheimer's disease gene upregulated in blood and brain is selected from the group consisting of Cdr2; Stk39; Tbc1d2; Bmp7; Nsdh1; Lbp; Tspan33; Cish; Fam46c; Cts1; Kit; Crtac1; Emilin1; Pafah2; Nqo1; Ptprf; and Ttc12.


Thus, in some aspects the specific Alzheimer's disease genes or corresponding proteins identified herein may be utilized as a therapeutic target. These genes/proteins can be targeted by specific reagents designed to interfere with their functions and or expression. For example many of the proteins corresponding to the Alzheimer's disease genes have specific receptors and therapeutic agents can be used to block the interactions of these proteins with their receptors or with other proteins in order to treat Alzheimer's disease. Additionally, some of the proteins corresponding to the Alzheimer's disease genes are enzymes. Therapeutics may be used to interfere with the enzymatic activities of these proteins. Additionally, the expression of these Alzheimer's disease genes can be inhibited using inhibitory RNA, particularly when the RNA can be targeted to the brain tissue as well as the peripheral blood. A therapeutic agent useful for blocking a protein-receptor or a protein-protein interaction is any type of reagent that binds to one or both of the proteins (receptor or ligand) and blocks the proteins from interacting. The reagent may be a protein, small molecule, nucleic acid or any other type of molecule which binds to and blocks the interaction, such as a receptor antagonist. For example the reagent may be (using antibodies, antibody fragments, peptides or peptidomimetics.


A therapeutic agent useful for blocking enzyme function is any reagent that interrupts the interaction or activity of the enzyme with it's substrate. For example the reagent may directly interfere with the interaction. For instance a structural antagonist of the substrate may compete for binding to the enzyme and block the interaction between the enzyme and substrate. Additionally the regent may indirectly interfere with the interaction by causing a conformational change or stability change in the enzyme which results in a loss of the enzymes ability to bind to the substrate or act on the substrate.


Methods for inhibiting the expression of Alzheimer's disease genes described herein are known in the art. For example, gene knockdown strategies may be used that make use of RNA interference (RNAi) and/or microRNA (miRNA) pathways including small interfering RNA (siRNA), short hairpin RNA (shRNA), double-stranded RNA (dsRNA), miRNAs, and other small interfering nucleic acid-based molecules known in the art. In one embodiment, vector-based RNAi modalities (e.g., shRNA or shRNA-mir expression constructs) are used to reduce expression of a gene encoding any of the Alzheimer's disease genes described herein.


The inhibitors are administered in an effective amount. An effective amount is a dose sufficient to provide a medically desirable result and can be determined by one of skill in the art using routine methods. In some embodiments, an effective amount is an amount which results in any improvement in the condition being treated. In some embodiments, an effective amount may depend on the type and extent of Alzheimer's disease being treated and/or use of one or more additional therapeutic agents. However, one of skill in the art can determine appropriate doses and ranges of inhibitors to use, for example based on in vitro and/or in vivo testing and/or other knowledge of compound dosages.


When administered to a subject, effective amounts of the inhibitor will depend, of course, on the severity of the disease; individual patient parameters including age, physical condition, size and weight, concurrent treatment, frequency of treatment, and the mode of administration. These factors are well known to those of ordinary skill in the art and can be addressed with no more than routine experimentation. In some embodiments, a maximum dose is used, that is, the highest safe dose according to sound medical judgment.


In the treatment of Alzheimer's disease, an effective amount is that amount which slows the progression of the disease, halts the progression of the disease, or reverses the progression of the disease. An effective amount includes that amount necessary to slow, reduce, inhibit, ameliorate or reverse one or more symptoms associated with Alzheimer's disease. In some embodiments, such terms refer to an improvement in memory function, and reading and writing skills.


An effective amount of a compound typically will vary from about 0.001 mg/kg to about 1000 mg/kg in one or more dose administrations, for one or several days (depending of course of the mode of administration and the factors discussed above). Actual dosage levels of the inhibitor can be varied to obtain an amount that is effective to achieve the desired therapeutic response for a particular patient, compositions, and mode of administration. The selected dosage level depends upon the activity of the particular compound, the route of administration, the tissue being treated, and prior medical history of the patient being treated. However, it is within the skill of the art to start doses of the inhibitor at levels lower than required to achieve the desired therapeutic effort and to gradually increase the dosage until the desired effect is achieved.


Described herein are oligonucleotide (nucleic acid) arrays that are useful in the methods for determining levels of multiple nucleic acids simultaneously. Also, described herein are antibody arrays that are useful in the methods for determining levels of multiple proteins simultaneously. Such arrays may be obtained or produced from commercial sources. Methods for producing nucleic acid arrays are well known in the art. For example, nucleic acid arrays may be constructed by immobilizing to a solid support large numbers of oligonucleotides, polynucleotides, or cDNAs capable of hybridizing to nucleic acids corresponding to mRNAs, or portions thereof. The skilled artisan is also referred to Chapter 22 “Nucleic Acid Arrays” of Current Protocols In Molecular Biology (Eds. Ausubel et al. John Wiley and #38; Sons NY, 2000), International Publication WO00/58516, U.S. Pat. No. 5,677,195 and U.S. Pat. No. 5,445,934 which provide non-limiting examples of methods relating to nucleic acid array construction and use in detection of nucleic acids of interest. In some embodiments, the nucleic acid arrays comprise, or consist essentially of, binding probes for mRNAs of at least 2, at least 5, at least 10, at least 20, at least 50, at least 100, at least 200, at least 300, or more genes selected from Table 1.


Methods for producing antibody arrays are also well known in the art. For example, antibody arrays may be constructed by fixing a collection of antibodies on a solid surface such as glass, plastic or silicon chip, for the purpose of detecting antigens. The skilled artisan is also referred to Rivas L A, García-Villadangos M, Moreno-Paz M, Cruz-Gil P, Gómez-Elvira J, Parro V (November 2008) “A 200-antibody microarray biochip for environmental monitoring: searching for universal microbial biomarkers through immunoprofiling”. Anal. Chem. 80 (21): 7970-9 and Chaga G S (2008). “Antibody arrays for determination of relative protein abundances”. Methods Mol. Biol. 441: 129-51, which provide non-limiting examples of methods relating to antibody array construction and use in detection of proteins of interest. In some embodiments, the antibody arrays comprise, or consist essentially of, antibodies for proteins of at least 2, at least 5, at least 10, at least 20, at least 50, at least 100, at least 200, at least 300, or more genes selected from Table 1.


Kits comprising reagents for measuring an expression pattern of at least one Alzheimer's disease-associated gene from the biological sample are also provided. Kits may include a package housing one or more containers with reagent for measuring an expression pattern of at least one Alzheimer's disease-associated gene from the biological sample and instructions for determining the expression patterns of the at least one Alzheimer's disease-associated gene and comparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene. Kits comprising the oligonucleotide and antibody arrays described herein are also included.


Methods for treating inflammatory disorders of the brain and central nervous system (CNS) by administering an HDAC inhibitor are also part of the invention. An inflammatory disorder of the brain or CNS is a disease associated with inflammation in the brain or CNS tissues. In some instances it is a disease caused by or associated with an infectious agent. Examples of diseases caused by or associated with an infectious agent include but are not limited to encephalitis, abscess, meningitis, vasculitis, tropical spastic paraparesis, and cytomegalovirus (CMV) and human immunodeficiency virus (HIV) associated neuronal disease. In other instances the inflammatory disorder of the brain or CNS is a non-cognitive neurodegenerative disease associated with inflammation in the brain or CNS tissues. Examples of these types of diseases include but are not limited to depression, multiple sclerosis, ADHD, ADD, anxiety, autism, Arachnoid cysts, Huntington's disease, Locked-in syndrome, Parkinson's disease, Tourette syndrome, schizophrenia and bipolar disease. In some embodiments the inflammatory disorder of the brain or CNS is not a cognitive neurodegenerative disease such as Alzheimer's disease.


Brain abscesses may result from bacterial, fungal or viral infection. Examples of fungal infections include coccidioidomycosis, aspergillosis, Cysticercosis, and Neurocysticercosis. Bacterial infections include bacterial meningitis arising from Hemophilus influenza, Neisseria meningitides (Meningococcus) and Streptococcus pneumonia and sarcoidosis. Encephalitis results from arthropod-borne arboviruses (Eastern and Western equine encephalitis, St. Louis encephalitis, California virus encephalitis) and West Nile virus. The enteroviruses, such as coxsackie-virus and echoviruses, can produce a meningoencephalitis, but a more benign aseptic meningitis is more common with these organisms. Herpes simplex virus causes a severe form of acute encephalitis. Lyme Disease associated with Borrelia burgdorferi is also an inflammatory disease of the brain or CNS. Other infectious agents include Toxoplasma, Listeria, Treponema, Rubella, Cytomegalovirus, and Herpes simplex type 2. Cryptococcosis and Pogressive Multifocal Leukoencephalopathy (PML) are associated with HIV.


The inflammatory disorder of the brain or CNS which are non-cognitive neurodegenerative disorders have unique and distinct symptoms, but each is associated with inflammation. The methods of the invention reduce brain and CNS inflammation and are therefore useful for treating this group of disorders. Arachnoid cysts are often results in headache, seizures, ataxia (lack of muscle control), hemiparesis, macrocephaly and ADHD. Huntington's disease is a degenerative neurological disorder resulting in a progressive decline associated with abnormal movements. Locked-in syndrome associated with excessive inflammation causes physical but not cognitive paralysis. Parkinson's disease is associated with bradykinesia (slow physical movement), muscle rigidity, and tremors. Tourette's syndrome is a neurological disorder, associated with physical tics and verbal tics. Multiple sclerosis is a chronic, inflammatory demyelinating disease, involving visual and sensation problems, muscle weakness, and depression.


The present invention is further illustrated by the following Example, which in no way should be construed as further limiting. The entire contents of all of the references (including literature references, issued patents, published patent applications, and co-pending patent applications) cited throughout this application are hereby expressly incorporated by reference.


EXAMPLE
Example 1

To test if high-throughput genome-wide RNA sequencing can be readily used a biomarker for HDAC inhibitor-mediated treatment of cognitive decline associate with AD, a mouse model of familial AD, the SXFAD mice were used. These mice harbor point mutations in the AD-related pathogenic presenilin and amyloid precursor protein pathways, and recapitulate the majority of human AD pathologies, including amyloid-β deposition, neurodegeneration, and cognitive impairments.


Adult male SXFAD mice were treated chronically, i.e., for one month, with daily intraperitoneal injections of the histone deacetylase inhibitor CI-994 (1 mg/kg), which had been shown to reduce AD-related cognitive impairments. After completion of treatment, mice were sacrificed, their brain regions dissected, and total RNA extracted of the hippocampus, a brain region important for memory formation and storage. The RNA was quality controlled using Agilent's bioanalyzer 5′ and 3′-end labeled and sequenced on an Illumina HiSeq sequencer with 200 million reads per sample. Sequence reads were aligned to the mouse genome, and quality-filtered. Differential analysis was then conducted using Cuffdiff with IIlumina iGenome mm9 UCSC gene annotation. A total of 3 SXFAD samples were treated with CI-994 (SXFAD CI-994), 3 SXFAD samples were treated with saline (SXFAD VEH) and 3 control littermates (CON VEH) treated with saline were processed.


In the SXFAD mice treated with saline, the majority of differentially expressed genes were upregulated, although there were a subset of genes that were downregulated. As shown in FIG. 1, RNA sequencing revealed that CI-994 of the SXFAD mice rescued to near completion the differentially expressed genes in SXFAD mice to levels comparable to control mice indicating that CI-994 reversed multiple aspects of AD at the molecular level. In particular, the rescue of the downregulated genes by CI994 was the most complete (100%). Importantly, these results also demonstrate that CI-994 is not only symptom modifying, but is also disease modifying.


Example 2

To test the potential of HDAC inhibitors as a novel disease-modifying approach against AD-related pathologies, two mouse models of AD-related pathologies, the CK-p25 and SXFAD were used. The former exhibits severe cognitive defects, alongside with profound neuronal loss and the presence of astrogliosis, beta-amyloid plaques and neurofibrillary tangles. The latter shows substantial cognitive decline, astogliosis and beta-amyloid deposition.


Chronic treatment with different HDAC inhibitors not only ameliorated cognitive deficits in both mouse models, but also reduced the amyloid burden in their brains, thereby demonstrating HDAC inhibitor treatment as a valuable disease modifying strategy.













TABLE 1





Rescue

CON-
5XFAD-
5XFAD-


Gene
Product
VEH
VEH
CI994



















1700026L06Rik
uncharacterized protein C9orf9
0.624239
2.51472
0.562431



homolog


4833427G06Rik
UPF0722 protein C11orf88
0.586386
3.15463
1.15558



homolog


Abhd2
abhydrolase domain-containing
15.6932
27.4262
16.6349



protein 2


Acaa2
3-ketoacyl-CoA thiolase,
13.3945
26.0835
15.6611



mitochondrial


Acacb
acetyl-Coenzyme A carboxylase
0.617337
1.39029
0.666905



beta precursor


Acss3
acyl-CoA synthetase short-chain
0.724694
1.88239
0.864404



family member 3, mitochondrial


Adcy1
adenylate cyclase type 1
138.844
79.0004
121.693


Aebp1
adipocyte enhancer-binding
2.92188
6.26373
4.33426



protein 1 precursor


Aldh1a1
retinal dehydrogenase 1
17.0089
9.36183
16.8375


Aldh2
aldehyde dehydrogenase,
33.598
48.5925
35.3667



mitochondrial precursor


Als2cr4
N/A
12.0086
24.844
14.5748


Angptl2
angiopoietin-related protein 2
0.891048
4.2822
1.51893



precursor


Antxr1
anthrax toxin receptor 1
3.22803
6.56718
4.10607


Apln
apelin precursor
9.76795
6.12249
9.12137


Arc
activity-regulated cytoskeleton-
66.4138
48.1849
77.622



associated protein


Arhgap28
rho GTPase-activating protein 28
0.127921
0.510226
0.180021


Arsg
arylsulfatase G precursor
11.8198
20.3
13.3427


Atf4
cyclic AMP-dependent
63.2085
81.1329
63.7327



transcription factor ATF-4


Atp10d
probable phospholipid-
0.529973
2.31843
0.853749



transporting ATPase VD



precursor


Atp11c
probable phospholipid-
2.33689
6.57379
3.64937



transporting ATPase 11C isoform



b


Atp2b3
plasma membrane calcium-
38.3395
60.8575
41.3436



transporting ATPase 3


Atp7a
ATPase, Cu++ transporting,
1.49419
3.26003
1.98727



alpha polypeptide


B230217C12Rik
uncharacterized protein
43.4852
31.7014
41.8821



LOC68127


BC049635
transmembrane protein
0.0540868
1.37492
0.51401



ENSP00000340100 homolog


Baiap2l1
brain-specific angiogenesis
0.273616
2.33057
0.622386



inhibitor 1-associated protein 2-



like protein 1


Bcam
basal cell adhesion molecule
4.24441
8.05677
5.37994



precursor


Bmp6
bone morphogenetic protein 6
4.02641
11.1645
5.71336



precursor


Bmp7
bone morphogenetic protein 7
2.45079
6.25389
2.93075



precursor


Brwd3
bromodomain and WD repeat-
1.68117
2.7935
1.78606



containing protein 3


Bsg
basigin, isoform C
259.511
403.804
282.696


Bst2
bone marrow stromal antigen 2
3.2881
11.7966
4.30741



precursor


Btbd3
BTB/POZ domain-containing
36.8885
23.5521
34.9585



protein 3


C1ql2
complement C1q-like protein 2
43.6231
26.5977
39.6924



precursor


C1qtnf5
complement C1q tumor necrosis
11.9862
35.9883
15.0312



factor-related protein 5 precursor


C230081A13Rik
pseudopodium-enriched atypical
9.29364
12.5865
8.24125



kinase 1


C530008M17Rik
uncharacterized protein
17.2628
22.2054
17.1167



KIAA1211


Cabp7
calcium-binding protein 7
208.995
159.797
205.981


Car14
carbonic anhydrase 14 precursor
4.78747
14.7654
6.58424


Ccdc141
coiled-coil domain containing
2.03824
3.97679
2.31681



141


Ccnd1
G1/S-specific cyclin-Dl
17.2602
11.6935
15.4148


Cdh3
cadherin 3 precursor
0.0235528
1.08593
0.368562


Cdr2
cerebellar degeneration-related
4.31589
11.4284
5.99428



protein 2


Cndp1
beta-Ala-His dipeptidase
0.0995992
0.828409
0.251373


Cnst
consortin
9.93687
14.2815
10.5531


Col17a1
collagen alpha-1(XVII) chain
0.012258
0.249454
0.0235052


Col18a1
collagen, type XVIII, alpha 1
0.641598
2.3876
0.783611



precursor


Col4a3
collagen alpha-3(IV) chain
0.0646655
0.396931
0.145896



precursor


Col4a4
collagen, type IV, alpha 4
0.132942
0.479793
0.17018


Coro2b
coronin-2B
59.395
76.6161
59.6533


Cpn1
carboxypeptidase N catalytic
0.0811035
0.793664
0.238107



chain precursor


Cpne7
copine-7
72.6339
103.506
72.8282


Cpt1b
carnitine O-palmitoyltransferase
0
0.551678
0



1, muscle isoform


Crb3
crumbs protein homolog 3
0.291716
2.77759
0.654551



precursor


Crhr2
corticotropin-releasing factor
0.595531
2.23327
0.6462



receptor 2 precursor


Crtac1
cartilage acidic protein 1
32.069
43.6956
33.2962



precursor


Crtap
cartilage-associated protein
2.37047
4.38652
2.38191



precursor


Ctnnal1
alpha-catulin
3.47457
7.98776
4.53785


Cul4b
cullin-4B
12.5653
21.7765
14.4206


Cxcl14
C-X-C motif chemokine 14
69.3377
48.3092
62.1186



precursor


Dab2
disabled homolog 2
1.99778
4.72126
2.76509


Dclk3
serine/threonine-protein kinase
6.04751
4.30744
6.88298



DCLK3


Dcn
decorin precursor
17.6465
26.1779
18.2706


Ddr2
discoidin domain-containing
1.51514
2.53485
1.21668



receptor 2 precursor


Dgkh

8.88537
6.08947
8.27716


Dio2
type II iodothyronine deiodinase
16.7737
9.34195
13.4167


Dmrt3
doublesex- and mab-3-related
0.645078
1.9143
0.669161



transcription factor 3


Dnahc11
dynein, axonemal, heavy chain 11
0.179947
0.418196
0.218072


Doc2b
double C2-like domain-
34.6523
24.2573
33.8561



containing protein beta


Dpep1
dipeptidase 1 precursor
0.0846536
0.520015
0.139907


Dpp7
dipeptidyl peptidase 2 precursor
7.36265
12.6549
8.54167


Dsg2
desmoglein-2 precursor
0.848692
1.66813
0.999317


Dsp
desmoplakin
8.29833
4.89359
8.25841


Ephx1
epoxide hydrolase 1 precursor
14.6948
25.3052
17.8668


Eps8l2
epidermal growth factor receptor
1.25456
2.6724
1.37889



kinase substrate 8-like protein 2


F11r
junctional adhesion molecule A
3.24994
6.67645
3.43792



precursor


Fads2
fatty acid desaturase 3
7.85965
12.5136
8.70066


Fam163b
uncharacterized protein
65.9083
43.1459
67.8893



LOC685169


Fam38a
piezo-type mechanosensitive ion
0.61923
1.5668
0.661317



channel component 1


Fras1
extracellular matrix protein
0.639782
1.10392
0.748983



FRAS1 precursor


Fst
frost
1.83579
0.698451
1.75528


Fxyd1
phospholemman precursor
32.7404
67.0955
37.5709


Fzd4
frizzled-4 precursor
3.07798
6.22743
3.61315


Fzd7
frizzled-7 precursor
3.6506
6.36982
4.15103


Gabra2
gamma-aminobutyric acid
45.8025
70.6867
45.2624



receptor subunit alpha-2



precursor


Galm
aldose 1-epimerase
1.35915
3.0491
1.68712


Gas6
growth arrest-specific protein 6
32.0329
56.7613
39.2248



precursor


Glb1l2
beta-galactosidase-1-like protein 2
0.372625
1.3626
0.548308


Glul
glutamine synthetase
274.777
177.415
251.125


Gm11744
progressive rod-cone
1.29786
5.55272
2.59425



degeneration protein homolog



precursor


Gm221
coiled-coil domain-containing
0.369657
1.23218
0.498957



protein C6orf97


Gm853
ornithine decarboxylase-like
0
0.191486
0


Gng7
guanine nucleotide-binding
76.6674
49.2731
64.066



protein G(I)/G(S)/G(O) subunit



gamma-7


Gprc5c
G-protein coupled receptor
0.932285
2.65099
1.25422



family C group 5 member C



isoform a precursor


Grm2
metabotropic glutamate receptor
13.9183
9.77447
13.2878



2 precursor


Gyltl1b
glycosyltransferase-like protein
0.118366
1.2708
0.192026



LARGE2


Hapln1
hyaluronan and proteoglycan link
12.1284
7.9551
10.6547



protein 1 precursor


Hbb-b2
hemoglobin subunit beta-2
5.7847
19.154
3.71396


Hemk1
hemK methyltransferase family
3.9302
8.20469
4.07362



member 1


Homer2
homer protein homolog 2
16.5669
10.5395
14.9404


Hsd11b1
cortico steroid 11-beta-
31.0186
20.2365
28.1849



dehydrogenase isozyme 1


Hspg2
basement membrane-specific
0.636205
1.09737
0.737224



heparan sulfate proteoglycan core



protein precursor


Ifi27l1
interferon, alpha-inducible
33.1532
55.4739
36.0763



protein 27 like 1 isoform 2


Igfbp5
insulin-like growth factor-binding
38.0494
29.4934
38.2003



protein 5 precursor


Igfbp7
insulin-like growth factor-binding
16.7404
30.5241
18.1462



protein 7 precursor


Igfn1
immunoglobulin-like and
0.0400676
0.407576
0.127126



fibronectin type III domain-



containing protein 1


Iqgap1
ras GTPase-activating-like
2.89759
4.31298
3.03842



protein IQGAP1


Isoc1
isochorismatase domain-
13.6633
10.1434
14.1426



containing protein 1


Kcnj10
ATP-sensitive inward rectifier
58.5816
41.6688
64.1636



potassium channel 10


Kcnj2
inward rectifier potassium
3.32953
2.1617
3.20513



channel 2


Kif9
kinesin-like protein KIF9 isoform
1.59288
3.60591
1.8759



1


Kit
mast/stem cell growth factor
19.5399
30.3057
18.7665



receptor precursor


Klhdc7a
kelch domain-containing protein
4.08318
6.5124
4.61306



7A


Lama5
laminin subunit alpha-5 precursor
0.800781
1.31662
0.886869


Lamp2
lysosome-associated membrane
32.4913
56.8491
40.9038



glycoprotein 2 isoform 2



precursor


Lct
lactase-phlorizin hydrolase
9.33636
5.73069
10.7663



preproprotein


Leprel4
synaptonemal complex protein
9.45108
13.3996
7.90701



SC65


Lingo1
leucine rich repeat and Ig domain
89.1295
115.554
88.754



containing 1 precursor


Llgl2
lethal(2) giant larvae protein
0.202787
0.963496
0.437277



homolog 2


Lmx1a
LIM homeobox transcription
0.252613
1.06817
0.503385



factor 1-alpha


Loxl1
lysyl oxidase homolog 1
1.43382
2.72047
1.48647



precursor


Loxl2
lysyl oxidase homolog 2
0.27556
0.612723
0.191226



precursor


Lrp10
low-density lipoprotein receptor-
14.2581
20.874
14.6733



related protein 10 precursor


Lrp5
low-density lipoprotein receptor-
2.44877
3.69413
2.43168



related protein 5 precursor


Ltc4s
leukotriene C4 synthase
5.52378
16.1504
7.10216


Lypd1
ly6/PLAUR domain-containing
49.6208
34.7748
47.9728



protein 1 precursor


Mccc1
methylcrotonoyl-CoA
5.24279
8.91975
5.41031



carboxylase subunit alpha,



mitochondrial


Mfsd7c
feline leukemia virus subgroup C
0.719071
1.70601
0.649977



receptor-related protein 2


Mmp15
matrix metallopeptidase 15
6.00865
9.13217
6.69899



precursor


Mpp7
MAGUK p55 subfamily member
0.769994
2.31846
1.16242



7 isoform 2


Myoc
myocilin precursor
12.4547
7.92294
11.9051


Myof
myoferlin
0.592499
1.93846
0.862876


Ndst4
bifunctional heparan sulfate N-
5.91472
3.53341
5.12937



deacetylase/N-sulfotransferase 4


Nek11
serine/threonine-protein kinase
0.411956
1.29101
0.580058



Nek11


Nid2
nidogen-2 precursor
0.600483
2.68029
1.14147


Nos1
nitric oxide synthase, brain
9.09696
12.1959
8.7895


Npas4
neuronal PAS domain-containing
4.00469
1.85785
3.8842



protein 4


Npr1
atrial natriuretic peptide receptor
1.39849
2.76668
1.7036



1 precursor


Npr3
atrial natriuretic peptide receptor
4.43706
7.71012
4.77945



3 isoform a precursor


Nqo1
NAD(P)H dehydrogenase
3.82878
6.31871
3.79412



[quinone] 1


Nt5dc1
5′-nucleotidase domain-
0.941295
2.18533
1.20464



containing protein 1


Ntn4
netrin 4 precursor
2.25261
4.49753
2.7778


Oca2
P protein
0.198144
1.52442
0.466956


Odz4
teneurin-4
7.93472
11.6456
7.19365


Ooep
oocyte-expressed protein
0.0563111
1.15859
0.0720188



homolog


Pbxip1
pre-B-cell leukemia transcription
15.8609
21.5464
16.2733



factor-interacting protein 1


Pcp4l1
Purkinje cell protein 4-like
41.1701
70.5608
50.8954



protein 1


Pgcp
carboxypeptidase Q precursor
6.29978
14.9086
8.02009


Phactr2
phosphatase and actin regulator 2
5.17232
9.12477
6.29506


Pla2g4e
cytosolic phospholipase A2
2.12889
0.884548
1.84977



epsilon


Plek2
pleckstrin-2
0.203647
1.46827
0.430062


Plekha2
pleckstrin homology domain-
10.3381
7.74972
12.177



containing family A member 2


Pltp
phospholipid transfer protein
32.0432
56.2175
36.9312



precursor


Plxnb2
plexin-B2 precursor
8.99607
15.0115
10.316


Polr1a
DNA-directed RNA polymerase I
4.88718
7.619
5.4566



subunit RPA1


Pon1
serum paraoxonase/arylesterase 1
0
0.874886
0.119983



precursor


Ppfibp2
protein tyrosine phosphatase,
1.94608
4.25408
2.52966



receptor-type, F interacting



protein, binding protein 2


Ppp1r1a
protein phosphatase 1 regulatory
70.8683
47.2999
67.7123



subunit 1A


Ppp1r1b
protein phosphatase 1 regulatory
32.6242
61.8645
37.5707



subunit 1B


Prelp
prolargin precursor
7.6691
15.2924
9.53012


Prox1
prospero homeobox protein 1
15.7074
10.5301
14.3616


Prps2
ribose-phosphate
9.91539
17.8129
12.0363



pyrophosphokinase 2


Ptpn14
tyrosine-protein phosphatase non-
1.65351
2.28015
1.31521



receptor type 14


Rab11fip1
rab11 family-interacting protein 1
0.418415
1.42688
0.698949



isoform 2


Rab20
ras-related protein Rab-20
0.673078
4.76363
1.27281


Rai14
ankycorbin
1.00592
1.85296
1.05342


Rbp3
retinol-binding protein 3
0.279339
0.0795398
0.52036



precursor


Rd3
protein RD3 isoform 2
0.292228
1.51799
0.665572


Ripk4
receptor-interacting
0.200004
0.688755
0.15646



serine/threonine-protein kinase 4


Robo3
roundabout homolog 3
2.91933
1.69267
2.95522


Rrh
visual pigment-like receptor
0.0537773
0.750069
0.0523507



peropsin


Rsph4a
radial spoke head protein 4
2.15178
4.68256
2.9407



homolog A


Scg5
neuroendocrine protein 7B2
209.728
129.591
219.826



precursor


Scn4b
sodium channel subunit beta-4
7.1377
5.17018
8.64274



precursor


Scube1
signal peptide, CUB and EGF-
4.37878
6.16819
4.58617



like domain-containing protein 1



precursor


Scube3
signal peptide, CUB and EGF-
0.428595
1.94397
0.628057



like domain-containing protein 3



precursor


Sdk1
protein sidekick-1
0.680194
1.1381
0.682146


Serinc2
serine incorporator 2 precursor
2.92189
4.9039
2.1423


Serpinb1b
leukocyte elastase inhibitor B
0.425173
2.42895
0.916896


Sfrp1
secreted frizzled-related protein 1
1.50564
8.21435
2.22656



precursor


Sfrp5
secreted frizzled-related protein 5
0.124305
4.32991
0.538409



precursor


Sh3d19
SH3 domain-containing protein
3.29706
7.26515
4.4249



19


Slc12a2
solute carrier family 12 member 2
16.1979
29.0989
20.5749


Slc12a4
solute carrier family 12 member 4
5.46407
8.69934
5.89774



isoform 1


Slc12a7
solute carrier family 12 member 7
0.837265
1.88202
1.124


Slc16a12
monocarboxylate transporter 12
0.751866
2.99108
1.22643


Slc16a2
monocarboxylate transporter 8
13.9329
27.5623
14.2113


Slc16a4
monocarboxylate transporter 5
1.40996
4.19366
2.15677


Slc16a9
monocarboxylate transporter 9
0.936307
3.01809
1.38469


Slc22a6
solute carrier family 22 member 6
0.781701
0.307055
0.787313


Slc23a2
solute carrier family 23 member 2
25.4985
35.3626
27.4105


Slc25a39
solute carrier family 25 member
30.328
41.6143
30.7081



39


Slc28a3
solute carrier family 28 member 3
0.0253638
0.532495
0.118665


Slc29a4
equilibrative nucleoside
10.2431
23.2085
11.9409



transporter 4


Slc37a2
sugar phosphate exchanger 2
0.460742
1.93774
0.838691


Slc39a4
zinc transporter ZIP4 precursor
0.776647
2.7583
1.07306


Slc4a10
sodium-driven chloride
43.9167
63.0669
46.0086



bicarbonate exchanger


Slc5a3
solute carrier family 5 (inositol
4.43941
7.60522
5.28894



transporters), member 3


Slc7a3
cationic amino acid transporter 3
1.24657
2.85656
1.49931


Slco1c1
solute carrier organic anion
17.1329
32.9264
20.1851



transporter family member 1C1


Smpdl3a
acid sphingomyelinase-like
19.0378
27.9583
19.7502



phosphodiesterase 3a precursor


Sntb1
beta-1-syntrophin
1.37431
2.97935
1.26937


Sod3
extracellular superoxide
4.35475
9.76844
6.09994



dismutase [Cu—Zn] precursor


Spag16
sperm-associated antigen 16
0.279303
1.28905
0.460786



protein


Spint2
serine protease inhibitor, Kunitz
10.8856
44.8051
15.9511



type 2 isoform a precursor


Sptlc3
serine palmitoyltransferase 3
0.13799
0.774689
0.23455


Ssfa2
sperm-specific antigen 2 homolog
9.69564
12.9974
10.0587


St6galnac2
alpha-N-acetylgalactosaminide
1.13226
4.6868
2.04296



alpha-2,6-sialyltransferase 2


Stk39
STE20/SPS1-related proline-
23.4886
42.4337
28.2125



alanine-rich protein kinase


Stra6
stimulated by retinoic acid gene 6
3.68191
7.80541
4.81665



protein


Tbc1d1
TBC1 domain family member 1
4.82631
2.96943
4.99315


Tbc1d2
TBC1 domain family member 2A
0.601313
2.11639
0.827272


Tbc1d9
TBC1 domain family member 9
18.7417
33.3274
19.741


Tbcel
tubulin-specific chaperone
16.9354
21.9454
17.0147



cofactor E-like protein


Tcn2
transcobalamin-2 precursor
6.71687
17.0888
9.13912


Tead1
transcriptional enhancer factor
3.68467
5.57789
4.07515



TEF-1 isoform 2


Tgfb2
transforming growth factor beta-2
16.9026
28.1203
21.5647



precursor


Tgfbi
transforming growth factor-beta-
1.02606
2.58149
1.20228



induced protein ig-h3 precursor


Tgfbr3
transforming growth factor beta
2.97682
5.77849
3.87974



receptor type 3 precursor


Timp2
metalloproteinase inhibitor 2
81.4295
120.556
84.9023



precursor


Tinagl1
tubulointerstitial nephritis
2.45869
5.00213
2.32016



antigen-like precursor


Tjp3
tight junction protein ZO-3
0.625603
1.99657
0.951327


Tlr2
toll-like receptor 2 precursor
0.621807
1.96697
1.03535


Tmed3
transmembrane emp24 domain-
17.2348
26.1727
18.8052



containing protein 3 precursor


Tmem108
transmembrane protein 108
8.20673
11.1922
8.4143



precursor


Tmem27
collectrin precursor
0.037105
1.14839
0.365653


Tmem98
transmembrane protein 98
8.92329
18.9354
10.1715


Tns1
tensin 1
3.9512
5.81114
3.86792


Tspan33
tetraspanin-33
14.3433
23.7053
15.0442


Ttc21a
tetratricopeptide repeat protein
0.690266
1.89625
1.10696



21A


Tuft1
tuftelin
0.895052
2.15741
1.14097


Vamp8
vesicle-associated membrane
10.4466
24.9316
13.404



protein 8


Vcam1
vascular cell adhesion protein 1
10.1223
13.7747
10.2949



precursor


Vcp
transitional endoplasmic
0.97429
2.928
1.54483



reticulum ATPase


Wdfy1
WD repeat and FYVE domain
7.51421
10.171
7.05013



containing 1


Wdr16
WD repeat-containing protein 16
0.854432
3.4711
1.6294


Wdr72
WD repeat domain 72
0.00638566
0.817544
0.18906


Wfs1
wolframin
40.0759
24.9153
43.1125


Zfp185
zinc finger protein 185 isoform a
0.745355
2.85428
1.3415


Zfp605
zinc finger protein 605
4.77237
8.21454
4.39751









Example 3

Three month old, male, SXFAD mice were treated for 1 month (every other day), via intraperitoneal injections with the histone deacetylase inhibitor; CI-994 (1 mg/kg), which has been shown to reduce AD-related cognitive impairments. After completion of treatment, blood was drawn and peripheral blood mononuclear cells were rapidly isolated. The cells were washed with PBS and total RNA was extracted using the RNeasy kit (Qiagen). RNA integrity was analyzed using the Bioanalyzer 2100 (Agilent) and the libraries were prepared using the Ovation Ultralow Library System kit (NuGen). Libraries were then pooled in equal amounts and high-throughput sequencing was performed on an Illumina HiSeq 2000 platform. Two individual biological replicates per condition were sequenced.


69 genes were found to be differentially expressed between wild type and SXFAD mice, which could be rescued to control levels with CI-994 treatment (FIG. 2). This result suggests pathological changes in the brain are reflected in the blood (via PBMCs) and HDAC inhibitors can not only reverse these changes but this rescue can be detected in circulating blood cells.


Moreover, 18 genes (Table 2) that are upregulated in the SXFAD blood samples, were also upregulated in the SXFAD brain samples. Of the 18 genes, three genes; Tbc1d2, Tspan33, and Kit, are rescued with CI-994 treatment in both the brain and blood samples.









TABLE 2







A list of 18 genes that are differentially expressed between 5XFAD


mice and littermate controls. Shown below are a list of 18 differentially


expressed genes identified by RNA-sequencing of PBMCs and brain


lysates. Gene differential analysis was performed by using Cuffdiff


(Trapnell et al., 2013) with Refseq gene database provided by Illumina.


A gene was considered differentially expressed with a fold change


of ≧1.4 and a significance of p ≦ 0.05.











Gene Name
Chromosome Locus
p-value







Cdr2
chr7: 128100549-128125826
1.88E−08



Stk39
chr2: 68048503-68310038
8.72E−07



Tbc1d2
chr4: 46617261-46663071
2.19E−06



Bmp7
chr2: 172695188-172765794
4.33E−05



Nsdhl
chrX: 70163859-70203867
5.93E−05



Lbp
chr2: 158132228-158158588
0



Tspan33
chr6: 29644255-29668558
0.000241



Cish
chr9: 107199019-107204292
0.00077



Fam46c
chr3: 100275458-100293115
0.000772



Ctsl
chr13: 64464521-64471614
0.002141



Kit
chr5: 75971011-76052746
0.002661



Crtac1
chr19: 42357526-42506273
0.012079



Emilin1
chr5: 31216158-31223646
0.021279



Pafah2
chr4: 133952274-133983327
0.027017



Nqo1
chr8: 109912124-109927105
0.029268



Ptprf
chr4: 117880817-117964002
0.031627



Ttc12
chr9: 49245065-49294330
0.047612

















TABLE 3







List of 69 differentially expressed genes








Gene
Full name





Podnl1
Podocan-Like 1


Gpr97
G Protein-Coupled Receptor 97


1500031L02Rik
Cep19 centrosomal protein 19


Cldn15
Claudin 15


Ceacam10
Carcinoembryonic antigen-related cell



adhesion molecule 10


Peli2
Pellino E3 Ubiquitin Protein Ligase Family



Member 2


F830002L21Rik
RIKEN cDNA F830002L21 gene


Mmp25
matrix metallopeptidase 25


Gpr84
G protein-coupled receptor 84provided


BC055004
Nxpe5 neurexophilin and PC-esterase



domain family, member 5


Itga1
integrin, alpha 1


Ccnb2
cyclin B2


Saa3
serum amyloid A 3


Olfml2b
olfactomedin-like 2B


Cd177
CD177 molecule


Spp1
secreted phosphoprotein 1


1810011H11Rik
RIKEN cDNA 1810011H11 gene



(1810011H11Rik), mRNA


Gca
grancalcin, EF-hand calcium binding



protein


Mir692-l
microRNA 692-1


CM3l4
chitinase 3-like 4


Reck
reversion-inducing-cysteine-rich protein



with kazal motifs


Tbc1d2
TBC1 domain family, member 2


Prnp
prion protein


Itgb2l
integrin beta 2-like


Olfm4
olfactomedin 4


Epb4.9
erythrocyte protein band 4.9


Paqr9
progestin and adipoQ receptor family



member IX


9030619P08Rik
RIKEN cDNA 9030619P08 gene


Add2
adducin 2 (beta)


Ly6i
lymphocyte antigen 6 complex, locus I


Bmpr1A
bone morphogenetic protein receptor, type



1A


Kit
kit oncogene


Galnt3
UDP-N-acetyl-alpha-D-



galactosamine: polypeptide N-



acetylgalactosaminyltransferase 3



(GalNAc-T3)


Klk1
kallikrein 1


BC117090
cDNA sequence BC1179090


Tgm1
transglutaminase 1


Ankrd22
ankyrin repeat domain 22


Stfa3
stefin A3


Rhou
ras homolog family member U


Rhov
ras homolog family member V


Padi4
peptidyl arginine deiminase, type IV


Snai1
snail family zinc finger 1


Lipg
lipase, endothelial


Sh3rf3
SH3 domain containing ring finger 3


Spint1
serine peptidase inhibitor, Kunitz type 1


Ctsl
cathepsin


Anxa3
annexin A3


Inhba
inhibin, beta A


Ank1
ankyrin 1, erythrocytic


Prtn3
proteinase 3


Atxn10
ataxin 10


A430107O13Rik (Cped1)
Cped1 cadherin-like and PC-esterase



domain containing 1


Trim10
tripartite motif containing 10


Rhoc
ras homolog family member C


Ly6f
Ly6f lymphocyte antigen 6 complex, locus



F


9530008L14Rik
RIKEN cDNA 9530008L14 gene


Kcnn3
potassium intermediate/small conductance



calcium-activated channel, subfamily N,



member 3


Dgat2
diacylglycerol O-acyltransferase 2


Plscr1
phospholipid scramblase 1


Adpgk
ADP-dependent glucokinase


Tnnt2
troponin T type 2 (cardiac)


Fam20c
family with sequence similarity 20,



member C


Tspan33
tetraspanin 33


Asb2
ankyrin repeat and SOCS box containing 2


Ggt1
gamma-glutamyltransferase 1


Acvrl1
activin A receptor type II-like 1


H20Ob
histocompatibility 2, O region beta locus


Clca1
chloride channel accessory 1


AA388235
expressed sequence AA388235








Claims
  • 1. A method of assessing the efficacy of a putative therapy for Alzheimer's disease in a subject in need thereof comprising: (a) administering the putative therapy to the subject to treat the Alzheimer's disease;(b) measuring an expression pattern of at least one Alzheimer's disease-associated gene in an isolated biological sample from the subject; and(c) comparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene, wherein the results of the comparison are indicative of the efficacy of the putative therapy.
  • 2. A method comprising: performing an assay to measure an expression pattern of at least one Alzheimer's disease-associated gene in an isolated biological sample from a subject; andcomparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene, wherein the results of the comparison are indicative of the presence of an Alzheimer's disease phenotype in the subject.
  • 3. The method of claim 2, wherein the expression pattern of at least 5, at least 10, at least 25, at least 50, at least 75, at least 100, at least 125, at least 150, at least 175, at least 200, at least 225, at least 250 Alzheimer's disease-associated genes is measured, and compared to the appropriate reference expression pattern.
  • 4. The method of claim 2, wherein the biological sample is selected from the group consisting of blood, serum, cerebrospinal fluid, urine and tissue.
  • 5. The method of claim 2, wherein the appropriate reference expression pattern comprises: (i) expression levels of the Alzheimer's disease-associated genes in a biological sample obtained from a subject who does not have Alzheimer's disease;(ii) expression levels of the Alzheimer's disease-associated genes in a biological sample obtained from the subject prior to treatment; and(iii) standard expression levels of the Alzheimer's disease-associated genes.
  • 6-9. (canceled)
  • 10. The method of claim 2, wherein the Alzheimer's associated genes comprise genes selected from Tables 1, 2 and/or 3
  • 11. The method of claim 2, wherein the Alzheimer's associated genes comprise Tbc1d2, Tspan33, and/or Kit.
  • 12. The method of claim 2, wherein the expression pattern of RNA encoded by the Alzheimer's disease associated genes is measured using a hybridization-based assay.
  • 13. (canceled)
  • 14. The method of claim 2, wherein the expression pattern of proteins encoded by the Alzheimer's disease associated genes is measured using an antibody-based assay.
  • 15. (canceled)
  • 16. The method of claim 1, wherein the putative therapy is an HDAC inhibitor.
  • 17. The method of claim 2, wherein the method is a method of monitoring progression of Alzheimer's disease in a subject in need thereof and wherein the method further comprises: (a) obtaining a first biological sample from the subject;(b) measuring a first expression pattern of at least one Alzheimer's disease-associated gene in the biological sample;(c) obtaining a second biological sample from the subject;(d) measuring a second expression pattern of the at least one Alzheimer's disease-associated gene in the biological sample;(e) comparing the first expression pattern with the second expression pattern, wherein the results of the comparison are indicative of the extent of progression of Alzheimer's disease in the subject.
  • 18. The method of claim 17, wherein between obtaining the first biological sample and obtaining the second biological sample, the subject is treated with HDAC inhibitor therapy.
  • 19. (canceled)
  • 20. The method of claim 2, wherein the method is a method for identifying a therapy for the subject, and wherein the method involves selecting an HDAC inhibitor as a therapy for the subject if the Alzheimer's disease associated gene that is modulated is a gene from Table 2 or 3.
  • 21. The method of claim 20, further comprising treating the subject with an HDAC inhibitor.
  • 22. (canceled)
  • 23-26. (canceled)
  • 27. The method of claim 2, wherein the at least Alzheimer's associated gene is wherein a lower level of beta-amyloid protein in the biological sample in comparison to a reference level associated with a normal subject is indicative of the presence of an Alzheimer's disease phenotype in the subject, and wherein the biological sample is a tissue other than the brain.
  • 28. The method of claim 27, wherein the biological sample is cerebrospinal fluid, blood or plasma.
  • 29-31. (canceled)
  • 32. A method of treating an inflammatory disorder of the brain or CNS administering to a subject an inflammatory disorder of the brain or CNS which is a non-cognitive neurodegenerative disorder an HDAC inhibitor in an effective amount to treat the disorder.
  • 33. The method of claim 32, further comprising performing an assay to measure an expression pattern of at least one Alzheimer's disease-associated gene in an isolated biological sample from a subject; and comparing the expression pattern with an appropriate reference expression pattern of the at least one Alzheimer's disease-associated gene, wherein the results of the comparison are indicative of the effectiveness of treating the disorder with an HDAC inhibitor.
  • 34. The method of claim 32, wherein the HDAC inhibitor is a specific HDAC 1, HDAC 2 and/or HDAC3 inhibitor.
  • 35. The method of claim 32, wherein the HDAC inhibitor is CI-994.
  • 36-37. (canceled)
RELATED APPLICATION

This application claims the benefit under 35 U.S.C. §119(e) of U.S. Provisional Application No. 61/696,426, filed Sep. 4, 2012, the entire content of which is hereby incorporated by reference.

FEDERALLY SPONSORED RESEARCH

This invention was made with government support under Grant No. NS078839 awarded by the National Institutes of Health. The government has certain rights in this invention.

PCT Information
Filing Document Filing Date Country Kind
PCT/US2013/058020 9/4/2013 WO 00
Provisional Applications (1)
Number Date Country
61696426 Sep 2012 US