COMPOSITIONS FOR THE TREATMENT OF AGE RELATED DISORDERS

Abstract
The invention is directed to compositions for the prophylaxis, treatment and recovery of age related disorders. Compositions comprising a combination of parts of plants or plant extracts belonging to Crassulaceae, Araliaceae and Schisandraceae for the prophylaxis and treatment of age related disorders.
Description
FIELD OF THE INVENTION

The present invention relates to compositions of parts of plants or extracts, their use as dietary food supplements or phytomedicine and a method of preparation of such compositions. Particularly the invention relates to compositions for treatment of age related disorders.


BACKGROUND OF THE INVENTION

The use of plants for medicinal purposes, and the study of such use have a long history. Plants have been the basis for medical treatments through much of human history, and such traditional medicine is still widely practiced. Plants, parts of plants or extracts of plants are used to treat conditions and diseases. The therapeutic effect is based on the chemical compounds present in the plant. The combination of compounds present in the plant or extract defines the therapeutic effect. In phytomedicine, plant material is processed in a repeatable operation so that a discrete marker constituent is at a verified concentration. The plant material or extract is then considered standardized.


In phytomedicine often a combination of different plants, parts of plants or extracts is used.


An example of a phytomedicine containing different extracts is ADAPT-232. ADAPT-232 is a combination of natural compounds of plant origin, standardized for the content p-hydroxyphenethyl-gluco-pyranoside, and several lignans. It was used in Scandinavia since 1996 as a natural remedy. It has been shown to significantly improving attention and ability to concentrate expressed as a decrease in errors made and an increase in speed and accuracy of performance stressful cognitive tasks in various psychometric tests, both in healthy subject [Aslanyan et al., 2010], e.g. in cosmonauts [Bogatova et al., 1997; Panossian and Wagner, 2005] as well as in pneumonia patients in the course of antibiotic treatment [Narimanyan et al., 2005]. The mean duration of a standard antibiotic treatment significantly decreased in the group of patients receiving ADAPT-232 together with a standard treatment. Shorter therapy with antibiotics (5.67 days) compared with those receiving the placebo with a standard treatment (7.53 days) was required, that suggests beneficial health effect of ADAPT in the course of antibiotic treatment and recovery of patients [Narimanyan et al., 2005].


Surprisingly it has been shown that 210 unique genes are deregulated due to synergistic interaction of constituents of combination of parts of plants or plant extracts belonging to Crassulaceae, Araliaceae and Schisandraceae. These genes are involved in the development of age related disorders.


Examples of age related disorders are:

    • Deregulated level of apoptosis.
    • Spontaneous occurrence of tumours.
    • Dysfunction of hypothalamus-pituitary-adrenal system activity with influence on lipid and protein metabolism.
    • Negative impact on blood fats like cholesterol, HDL cholesterol, triglycerides.
    • Negative impact on carbohydrate metabolism like glucose.
    • Chronic inflammation and atherosclerosis.
    • Impaired health status and higher mortality


There are many aging associated diseases, which are developed because of age dependent increasing dysfunction and degeneration of vascular and immunocompetent cells. Examples of these diseases are cancer, gastrointestinal diseases, endocrine system disorders, inflammatory diseases, auditory diseases, cardiovascular diseases, immunological diseases, dermatological diseases and metabolic diseases.


Surprisingly it has been shown that combinations of part of plants or extracts of plants containing a combination of phenethyl- and phenylpropenyl glycosides, lignans, flavolignans, epigallocatechingallates, mono-, sequi- and triterpene glycosides derived from plants belonging to Crassulaceae, Araliaceae and Schisandraceae are effective in the prophylaxis and treatment of age related disorders.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 shows the main cellular functions most significantly affected by synergy derived effect of ADAPT-232.



FIG. 2 shows the main diseases most significantly affected by synergy derived effect of ADAPT-232.





DETAILED DESCRIPTION OF THE INVENTION

This invention is based on the unexpected finding that parts of plants or plant extracts of plants belonging to the family of Crassulaceae, Araliaceae and Schisandraceae comprising a combination of phenethyl- and phenylpropenyl glycosides, lignans, flavolignans, epigallocatechingallates, and mono-sequi- and triterpene glycosides are effective for prophylaxis, treatment and recovery of age related disorders.


In a preferred embodiment pantothenic acid or salts of pantothenic acid are added to the combination of extracts.


These parts of plants or plant extracts of plants belonging to the family of Crassulaceae, Araliaceae and Schisandraceae have a synergistic action on the expression of genes involved in development of age related disorders such as atherosclerosis, carcinogenesis, hypercholesterolemia, reduced physical endurance and liver detoxifying function, impaired protein synthesis, reduced activity of the hormonal system, and spontaneous promotion of tumours.


The invention is thus directed to methods and compositions for the treatment or prevention of the prevention and treatment of age related diseases and conditions.


The surprising synergistic effect of these extracts was demonstrated in isolated neuroglia cells and the beneficial effect of ADAPT-232 in aging was demonstrated in experiments in rats. ADAPT-232 has a homeostatic and anti-aging action on the age-related deterioration of function of the innate defence, cardiovascular and carcinogenesis. Repeated administration of ADAPT-232 diminish or prevent a range of age-related disorders including development and progression of cardiac insufficiency and hypercholesterolemia, reduced physical endurance and impaired protein synthesis, reduced activity of the hormonal system and spontaneous promotion of tumours.


Examples of age related disorders are:

    • Deregulated level of apoptosis.
    • Spontaneous occurrence of tumours.
    • Dysfunction of hypothalamus-pituitary-adrenal system activity with influence on lipid and protein metabolism.
    • Negative impact on blood fats like cholesterol, HDL cholesterol, triglycerides.
    • Impaired health status and higher mortality


For preventing ageing associated disorders the understanding of specific sets of genes involved in the ageing is important. Therefore the deregulation of the expression of specific set of genes, molecular networks and cellular intracellular signalling pathways by the compositions of the invention was investigated. Surprisingly it was established that the compositions of the inventions have a synergistic effect on the genes involved in development of age related disorders such as atherosclerosis and carcinogenesis.


The compositions of the invention decrease the cholesterol level in blood. Cholesterol is a lipid substance that is found in all body cells. It is located mainly in cell membranes, lipoproteins and metabolized into steroid hormones. The determination of serum cholesterol is one of the important tools in the diagnosis of atherosclerosis. High blood cholesterol is one of the major risk factors for heart disease. By the compositions of the invention the level in blood is reduced by more than 10%, preferably more than 20% and more preferably by more than 30% and even more preferably by more than 40%.


With respect to triglyceride the compositions of the invention stabilize the level of triglyceride.


The compositions of the invention also increase the level of albumin and protein in blood. In age related disorder the content of these compounds is often reduced. In a preferred embodiment the level is increased by more than 5% and in a more preferred embodiment by more than 10%.


The level of apoptosis is significantly influenced by the compositions of the invention. In a preferred embodiment the level of apoptosis is at least 10% less compared to placebo and more preferably at least 20% less and even more preferably at least 30% less compared to placebo.


The compositions of the invention are pharmaceutical compositions or dietary food products.


The invention relates to compositions of parts of plants or extracts of plants belonging to the families of Crassulaceae, Araliaceae and Schisandraceae.


Examples of plants from the plant family of Crassulaceae are Sedum rosea, Sedum maximum, Sedum auglicum, Sedum aruum, Sedum quadrifida, Sedum integrefolia, Sedum telephium, Sedum algida, Sedum crenulata, Sedum pinnatifida, Sedum hybridum, Sedum aizoon, Sedum purpureum, Sedum heterodonta, Sedum viridula, Sedum kirilowii, Sedum linearifolia, Sedum gelida, Sempervivum soboleferum. Especially suitable are the plants Sedum rosea and Sempervivum soboleferum. Examples of plants from the plant family of Araliaceae are Aralia elata, Aralia mandshurica, Eleutherococcus divaricatus, Eleutherococcus eleutheristylus, Eleutherococcus giraldii, Eleutherococcus nodiflorus, Eleutherococcus rehderianus, Eleutherococcus rufinervis, Eleutherococcus scandens, Eleutherococcus senticosus, Panax ginseng. Especially suitable are the plants Eleutherococcus senticosus and Aralia mandshurica.


Examples of plants from the plant family of Schisandraceae are Schisandra arisanensis, Schisandra bicolor, Schisandra chinensis, Schisandra tuberculata, Schisandra flaccidiramos, Schisandra glabra, Schisandra glaucescens, Schisandra henryi, Schisandra incarnate, Schisandra lancifolia, Schisandra micrantha, Schisandra neglecta, Schisandra plena, Schisandra propinqua and Schisandra tomentella. Especially suitable is the plant Schisandra chinensis.


Examples of the parts of the plants used are stems, stem barks, trunks, trunk barks, twigs, tubers, roots, toot barks, young shoots, seeds, rhizomes, flowers, fruits or leaves.


The combination of the invention comprises a combination of the chemical components phenethyl- and phenylpropenyl glycosides, lignans, flavolignans, epigallocatechingallates, mono-sequi- and triterpene glycosides.


The combination contains one or more of the following compounds:

  • (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol (salidroside)
  • 4-(2-hydroxyethyl)phenol (tyrosol)
  • (2S,3R,4S,5S,6R)-2-[(E)-3-phenylprop-2-enoxy]-6-[[(2S,3R,4S,5S)-3,4,5-trihydroxyoxan-2-yl]oxymethyl]oxane-3,4,5-triol (rosavin)
  • (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol (eleutheroside B)
  • (2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol (eleutheroside E)
  • 5,6,7,8-Tetrahydro-1,2,3,10,11,12-hexamethoxy-6,7-dimethyldibenzo [a,c]cycloocten-6-ol (schizandrin)
  • 1,2,3,13-tetramethoxy-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[3′,4′]cycloocta [1′,2′:4,5]benzo[1,2-d][1,3]dioxole (gamma-schizandrin)


The compounds are present in the composition as salts, solvates, isomers, hydrates, polymorphs or other modifications.


In a preferred embodiment the components of the composition are standardized with respect to the total amount of the composition for

    • (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol in an amount of about 0.01 to about 2.0% w/w, preferably 0.05 to 1.5% w/w and more preferably 0.1 to 0.5% w/w
    • 4-(2-hydroxyethyl)phenol in an amount of about 0.01 to about 1.0 m % w/w, preferably 0.02 to 0.5% w/w and more preferably 0.04 to 0.1% w/w
    • 0.3% to about 0.5% 2-(3-phenylprop-2-enoxy)-6-[(3,4,5-trihydroxyoxan-2-yl)oxymethyl]oxane-3,4,5-triol in an amount of about 0.01 to about 3.0% w/w, preferably 0.05 to 1.5% w/w and more preferably 0.1 to 0.5% w/w
    • (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol and (2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol in an amount of about 0.005 to about 2.0% w/w, preferably 0.008 to 1.0% w/w and more preferably 0.01 to 0.2% w/w
    • 5,6,7,8-Tetrahydro-1,2,3,10,11,12-hexamethoxy-6,7-dimethyldibenzo[a,c]cycloocten-6-ol, and 1,2,3,13-tetramethoxy-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[3′,4′]cycloocta [1′,2′:4,5]benzo[1,2-d][1,3]dioxole in an amount of about 0.01 to about 3.0% w/w, preferably 0.03 to 1.5% w/w and more preferably 0.05 to 0.5% w/w.


In a preferred embodiment the composition further contains pantothenic acid or a salt thereof. Examples of a pantothenic acid salt are calcium, hemi calcium, sodium, potassium, ammonium pantothenate. This compound is present in an amount of 0.5 to 500 mg preferably 1 to 250 mg and more preferably 10 to 150 mg per single dose. In relation to the total amount of the composition the pantothenic acid or salt thereof is present in an amount of 1 to 50% w/w and preferably 10 to 25% w/w.


The extracts and the mixture of extracts are prepared by methods to achieve the presence of the compounds of the composition in the extract.


In a preferred embodiment the composition is a combination of extracts.


An extract may be prepared by the following method:


a) Extracting each plant material from the Crassulaceae, Araliaceae and Schisandraceae families by a hydro-alcoholic solvent. Typically, the solvent is an ethanol/water mixture ranging from 1% ethanol to 99% ethanol. Other alcohols, such as methanol and butanol may be used. Preferably, the extraction process is a specific validated process that meets the Good Manufacturing Practice standards of U.S. Food and Drug Administration. The temperature of the extraction procedure can be in a range between 20° C. to 95° C. depending on length of extraction time and quality of the raw material.


b) Separating the extraction solvent from the plant material.


c) Evaporating alcohol to obtain spissum.


d) Homogenizing each spissum which contains the combination of extracts.


e) Determination of concentration of marker compound in each spissum.


f) Mixing spissum and optionally pharmaceutically acceptable excipients in a ratio to achieve target amounts of marker compounds.


g) Evaporating spissum to dryness.


h) Determination of marker compounds in dry extract.


g) Adjusting concentration of marker compounds in dry extract by pharmaceutically acceptable excipient to achieve a defined amount of marker compound for the respective extracts in relation to the final amount of the composition:


After evaporating alcohol the extract contains a remaining amount of the extraction solvent. This extract is known as spissum.


The homogenization of the spissum is done by stirring or any other appropriate method. In a preferred embodiment the stirring is performed at an elevated temperature. Preferably the temperature for stirring is between 40 and 80° C. and more preferably between 50 and 70° C.


Examples for the drying steps are heating, spry drying or any other suitable methods.


Standardization of the parts of plants or extract is done by testing each extract by HPLC and TLC.


The extract of Crassulaceae is standardized to the content of salidroside, rosavin and/or tyrosol.


The extract of Araliaceae is standardized to the content of eleutheroside B and/or eleutheroside E.


The extract of Schisandraceae is standardized to the content of schisandrine and/or gamma-schisandrine.


The dried extracts are further processed to manufacture pharmaceutical compositions or dietary food products. For this process pharmaceutically acceptable excipients may be used.


Examples of excipients are microcrystalline cellulose, cellulose derivatives, lactose, maltodextrines, talcum, gelatin, magnesium stearate, colloidal silicium, polyethylene glycoside and derivatives. Pharmaceutically acceptable antioxidants, preservatives, detergents, stabilizers may be present in the composition.


The final formulation of the compositions of the invention is any pharmaceutically acceptable formulation. Examples of formulations are a mixture of parts of plants, powder, solution, dispersion, suspension, granules, pellets, tablet, hard capsule, soft capsule, microcapsules, lozenge.


The formulation is applied once, twice, three or four times daily. A twice a day application is preferred. At each application time one, two, three, four or five, preferably two to four dosage units are applied.


Example 1

ADAPT-232 extract is prepared by extracting plant material from Eleutherococcus senticosus, Schizandra chinensis and Rhodiola rosea. The extraction is performed with 70% ethanol/water mixture for 6 hours at 60° C. The liquid extract is separated from the plant material, concentrated by evaporation to spissum (water content about 40%).


The aliquot of the spissum are analyzed by HPLC and TLC and standardized for the certain content of analytical markers by blending of two soft extracts obtained from first and second extraction of the same raw material. Combined extract is homogenized and stabilized by addition of preservatives, mixed with certain amount of matodextrin, homogenized at room temperature for several hours and spray dried at elevated temperature of 75 to 200° C.


The dry extracts are analyzed by TLC and HPLC and mixed in certain proportion to obtain homogenous powder standardized in relation to the total amount of composition for:

    • (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol 0.1 to 0.5% w/w;
    • (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol and (2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol 0.01 to 0.2% w/w;
    • 5,6,7,8-Tetrahydro-1,2,3,10,11,12-hexamethoxy-6,7-dimethyldibenzo[a,c]cycloocten-6-ol, and 1,2,3,13-tetramethoxy-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[3′,4′]cycloocta [1′,2′:4,5]benzo[1,2-d][1,3]dioxole 0.05 to 0.5% w/w.


Example 2

The extract is prepared according to example 1.


About 20% calcium pantothenate with respect to the composition is added.


Example 3

The amount of 380 mg of the dry extract of example 1 is mixed with 120 mg of excipients and filled in hard vegetable or gelatin capsules and packed into blisters.


In the final product the relative amount of (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol is 0.16%, the relative amount of (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol and (2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol is 0.08% and the amount of 5,6,7,8-Tetrahydro-1,2,3,10,11,12-hexamethoxy-6,7-dimethyldibenzo[a,c]cycloocten-6-ol, and 1,2,3,13-tetramethoxy-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[3′,4′]cycloocta [1′,2′:4,5]benzo[1,2-d][1,3]dioxole is 0.25%.


Example 4

The amount of 440 mg of the dry extract of example 2 is mixed with 60 mg of excipients and filled in hard vegetable or gelatine capsules and packed into blisters.


In the final product the relative amount of 20% for calcium pantothenate.


Example 5

The individual extracts of example 1 and the combination of extracts of example 1 were dissolved in ethanol 0.8% and tested for deregulation of gene expression in neuroglia cell line.


Human neuroglial cell line T98G (ATCC, CRL-1690) was grown in DMEM+GlutaMAX-I (Gibco, Darmstadt, Germany) with 10% foetal bovine serum (Gibco, Darmstadt) and 1% penicillin/streptomycin (Gibco, Darmstadt). Cells were maintained in a 37° C. incubator in a humidified atmosphere with 5% CO2. All experiments were conducted using cells in the logarithmic growth phase. T98G cells were seeded 24 hours before treatment with extracts on 6-well plates in a density of 150,000 cells per well. The next day, old medium was removed and cells were treated in a final volume of 3 ml.


Two technical replicates were performed for each sample. Cells were incubated with the test substances for 24 hours at 37° C. and then subjected to RNA isolation. Cells were harvested after 24 hours of treatment. Total RNA was isolated using InviTrap Spin Universal RNA Mini kit (Stratec Molecular, Berlin, Germany) and dissolved in RNAse free-water. The RNA of the two technical replicates was pooled (1:1) resulting in one sample for each treatment/control. The quality of total RNA was checked by gel analysis using the Total RNA Nano chip assay on an Agilent 2100 Bioanalyzer (Agilent Technologies GmbH, Berlin, Germany).


Microarray hybridizations were performed at the Institute of Molecular Biology (Mainz, Germany). Whole Human Genome RNA chips (8×60K Agilent) were used for gene expression profiling. Probe labelling and hybridization procedures were carried out following the One-Color Microarray-Based Gene Expression Analysis Protocol (http://www.chem.agilent.com/Library/usermanuals/Public/G4140900 40_GeneExpression_One-color_v6.5.pdf). Briefly, total RNA was labelled and converted to cDNA. Then, fluorescent cRNA (Cyanine 3-CTP) was synthesized and purified using the QIAgen RNeasy Kit. After fragmentation of the cRNA, samples were hybridized for 17 hours at 65° C. Microarray slides were washed and scanned with the Agilent Microarray Scanning system. Images were analyzed and data was extracted. The background was subtracted and data was normalized using the standard procedures of Agilent Feature Extraction Software. Expression data was further analyzed using Chipster software (http://chipster.csc.fi/) to filter genes by varying expression and significance. These steps include filtering genes to isolate those that were up- or down-regulated by one to three times the standard deviation (depending on the total number of extremely up- or down-regulated genes). A subsequent assessment of significance using empirical Bayes t-test further narrowed the pool of genes. All genes further considered showed a significant difference from the control with p-value<0.05, or otherwise are noted. Filtered data was used in Ingenuity pathway analysis for Core analysis, in order to determine networks and pathways influenced by the drug treatments (http://www.ingenuity.com/).


A microarray-based transcriptome-wide mRNA expression analysis was performed to identify possible targets of the tested substances in T98G cells. T98G cells were treated with test substances for 24 h in two technical replicates before total RNA was isolated and pooled for microarray hybridization. Significantly deregulated genes were identified compared to untreated controls (p<0.05) by means of Chipster software analysis.


The total number of deregulated genes in response to extracts was of the same order: 1075—deregulated by Eleutherococcus, 1087—deregulated by Schisandra, 1062—deregulated by Rhodiola, and 1056—deregulated by the combination ADAPT-232. Among the 1056 genes deregulated by ADAPT-232, there were 210 unique genes deregulated due to synergistic interaction of constituents (Table 1). Among them 89 genes are up regulated and 121 genes are down regulated more than two fold.









TABLE 1







Genes up- and down-regulated by ADAPT- 232 combination of extracts


in T98G cells. The values show fold changes compared to the


control (http://www.ingenuity.com/wp-content/themes/ingenuity-


qiagen/pdf/citation-guidelines/citing-ingenuity-products.pdf;


Entrez Gene Name, http://www.ncbi.nlm.nih.gov/gene/).










Gene symbol -
Fold




human (Entrez Gene)
Change
Location
Type(s)













ZSCAN10
18.765
Nucleus
transcription





regulator


PCDHAC1
8.754
Plasma Membrane
other


HHAT
8.574
Cytoplasm
enzyme


FAM5B
7.362
Cytoplasm
other


PHACTR3
5.816
Nucleus
other


B3GAT1
5.776
Cytoplasm
enzyme


SMC1B
5.657
Nucleus
transporter


UBE3D
5.278
Other
other


SUCNR1
4.959
Plasma Membrane
G-protein coupled





receptor


C1orf105
4.925
Other
other


OR2L13
4.627
Plasma Membrane
G-protein coupled





receptor


ANGPTL4
4.377
Extracellular Space
other


OR4C3
4.317
Plasma Membrane
G-protein coupled





receptor


SRL
4.199
Cytoplasm
other


TEX26
4.199
Other
other


SPTSSB
4.084
Cytoplasm
other


SLC16A10
3.864
Plasma Membrane
transporter


TACR1
3.784
Plasma Membrane
G-protein coupled





receptor


SLC6A14
3.732
Plasma Membrane
transporter


SYNPR
3.655
Plasma Membrane
transporter


TIFAB
3.605
Other
other


DTHD1
3.555
Other
other


EPPIN
3.555
Extracellular Space
other


OR5T3
3.434
Plasma Membrane
G-protein coupled





receptor


PCDHGA8
3.434
Other
other


LRRK2
3.340
Cytoplasm
kinase


UBASH3A
3.340
Cytoplasm
enzyme


CCL18
3.272
Extracellular Space
cytokine


ECHDC1
3.227
Cytoplasm
enzyme


RPL28
3.227
Cytoplasm
other


NKX2-4
3.182
Nucleus
transcription





regulator


KIF1A
3.138
Cytoplasm
other


TRBV2
3.138
Other
other


C6orf222
3.095
Other
other


ERP27
3.095
Other
other


GRTP1
3.095
Other
other


OR1A1
3.095
Plasma Membrane
G-protein coupled





receptor


RADIL
3.095
Other
other


ABCD2
3.074
Cytoplasm
transporter


FAM107A
3.053
Nucleus
other


SRY
3.053
Nucleus
transcription





regulator


DBX2
3.010
Nucleus
transcription





regulator


SPINK5
3.010
Extracellular Space
other


SYT4
3.010
Cytoplasm
transporter


BNIPL
2.969
Cytoplasm
other


CCKAR
2.868
Plasma Membrane
G-protein coupled





receptor


OR51A4
2.828
Plasma Membrane
other


CCDC173
2.789
Other
other


SPESP1
2.751
Cytoplasm
other


HM13
2.694
Cytoplasm
peptidase


MAB21L1
2.694
Nucleus
other


PCDH8
2.694
Plasma Membrane
other


DLL4
2.585
Extracellular Space
other


OSGIN1
2.567
Other
growth factor


ANO6
2.549
Plasma Membrane
ion channel


TEX36
2.549
Other
other


C9orf57
2.532
Other
other


TGM3
2.532
Cytoplasm
enzyme


CCDC148
2.514
Other
other


NOX5
2.497
Cytoplasm
ion channel


C20orf160
2.479
Other
other


PPP1R14D
2.479
Cytoplasm
other


DCDC1
2.462
Other
other


HS3ST3B1
2.462
Cytoplasm
enzyme


ANKS4B
2.428
Nucleus
transcription





regulator


LILRA6
2.428
Other
other


MMD2
2.428
Other
other


RD3L
2.428
Other
other


SLCO4C1
2.428
Plasma Membrane
transporter


LRP1B
2.412
Plasma Membrane
transmembrane





receptor


OR2L2
2.412
Plasma Membrane
G-protein coupled





receptor


SERPINA4
2.412
Extracellular Space
other


CHST9
2.395
Cytoplasm
enzyme


LRRC19
2.395
Other
other


RGS22
2.395
Cytoplasm
other


THSD4
2.395
Cytoplasm
other


ATXN8OS
2.378
Other
other


SPINK4
2.378
Extracellular Space
other


C9orf64
2.362
Other
other


LRFN5
2.362
Nucleus
other


ZNF534
2.362
Other
other


HPCAL1
2.346
Cytoplasm
other


SHANK2
2.346
Plasma Membrane
other


CXorf1
2.346
Other
other


LDHAL6B
2.329
Cytoplasm
enzyme


MYH15
2.329
Extracellular Space
other


NEUROD1
2.329
Nucleus
transcription





regulator


OR4D5
2.329
Plasma Membrane
G-protein coupled





receptor


LILRB1
2.313
Plasma Membrane
transmembrane





receptor


C1orf173
−2.346
Other
other


C2orf50
−2.346
Other
other


CD69
−2.346
Plasma Membrane
transmembrane





receptor


CR1
−2.346
Plasma Membrane
transmembrane





receptor


FAM179A
−2.346
Other
other


HIGD1C
−2.346
Other
other


IGSF1
−2.346
Plasma Membrane
other


LCE4A
−2.346
Other
other


NETO1
−2.346
Extracellular Space
other


PCDH19
−2.346
Extracellular Space
other


RNASE9
−2.346
Extracellular Space
other


SLC35D3
−2.346
Other
other


ST8SIA6
−2.346
Cytoplasm
enzyme


ADAM20
−2.362
Plasma Membrane
peptidase


CTCFL
−2.362
Nucleus
transcription





regulator


GARNL3
−2.362
Other
other


OR5AC2
−2.362
Plasma Membrane
G-protein coupled





receptor


SAMD3
−2.362
Other
other


WNT8B
−2.362
Extracellular Space
other


SYNPO2
−2.395
Cytoplasm
other


PROZ
−2.428
Extracellular Space
peptidase


ARMS2
−2.445
Cytoplasm
other


PCDHB18
−2.445
Other
other


RBP3
−2.462
Extracellular Space
transporter


SLC10A4
−2.462
Plasma Membrane
transporter


SLC17A6
−2.462
Plasma Membrane
transporter


PBLD
−2.479
Other
enzyme


SPINT1
−2.532
Extracellular Space
other


CASQ1
−2.549
Cytoplasm
other


HCN1
−2.549
Plasma Membrane
ion channel


AGTR2
−2.567
Plasma Membrane
G-protein coupled





receptor


SDPR
−2.567
Plasma Membrane
other


SEPT14
−2.567
Cytoplasm
other


GOT1L1
−2.585
Other
enzyme


PTPRQ
−2.585
Other
other


C12orf39
−2.621
Nucleus
other


C1orf100
−2.621
Other
other


LRTM2
−2.621
Other
other


OVCH1
−2.621
Other
other


PALMD
−2.621
Cytoplasm
other


S100Z
−2.621
Other
other


SH3BP5L
−2.621
Other
other


SLC10A6
−2.621
Plasma Membrane
transporter


SLC18A1
−2.621
Plasma Membrane
transporter


CXorf59
−2.639
Other
other


IFNW1
−2.676
Extracellular Space
cytokine


IFNA8
−2.751
Extracellular Space
cytokine


SLC12A1
−2.751
Plasma Membrane
transporter


C3orf77
−2.751
Other
other


ZFP42
−2.770
Nucleus
transcription





regulator


BMPER
−2.789
Extracellular Space
other


FLJ40194
−2.789
Other
other


KRTAP10-11
−2.789
Other
other


OR4K15
−2.789
Plasma Membrane
G-protein coupled





receptor


OR6C6
−2.789
Plasma Membrane
G-protein coupled





receptor


SASH3
−2.789
Cytoplasm
other


SLC16A8
−2.789
Plasma Membrane
transporter


SPAG17
−2.789
Other
other


SPOCK3
−2.789
Extracellular Space
other


ZFP64
−2.789
Nucleus
other


COCH
−2.848
Extracellular Space
other


FIGN
−2.868
Nucleus
other


PPP1R9A
−2.868
Plasma Membrane
other


TXLNB
−2.868
Cytoplasm
other


TYR
−2.868
Cytoplasm
enzyme


STAB1
−2.928
Plasma Membrane
transporter


C11orf16
−2.949
Other
other


GLP1R
−2.949
Plasma Membrane
G-protein coupled





receptor


ACMSD
−2.990
Cytoplasm
enzyme


PCDHA1
−2.990
Plasma Membrane
other


CLEC5A
−3.010
Plasma Membrane
other


OR4K5
−3.010
Plasma Membrane
G-protein coupled





receptor


PCDHA6
−3.010
Plasma Membrane
other


RGR
−3.010
Plasma Membrane
G-protein coupled





receptor


SPO11
−3.010
Nucleus
enzyme


PCDH17
−3.095
Other
other


WIF1
−3.095
Extracellular Space
other


DNAJB3
−3.117
Other
other


IL7
−3.117
Extracellular Space
cytokine


SPTBN4
−3.117
Cytoplasm
other


TRAT1
−3.117
Plasma Membrane
kinase


RASSF9
−3.204
Cytoplasm
transporter


CTNNA3
−3.294
Plasma Membrane
other


FLT3
−3.294
Plasma Membrane
kinase


LRRIQ3
−3.317
Other
other


CCDC67
−3.340
Other
other


GC
−3.340
Extracellular Space
transporter


TEKT5
−3.340
Other
other


UNC13C
−3.340
Cytoplasm
other


ZNF396
−3.340
Nucleus
transcription





regulator


GTSF1
−3.411
Cytoplasm
other


GH2
−3.434
Extracellular Space
other


TMPRSS11A
−3.434
Other
peptidase


FAM65B
−3.506
Other
other


SLC6A4
−3.506
Plasma Membrane
transporter


TRAV7
−3.580
Other
other


CDHR5
−3.630
Plasma Membrane
other


EPGN
−3.630
Extracellular Space
growth factor


GUCY2F
−3.630
Plasma Membrane
kinase


KIF12
−3.630
Cytoplasm
other


FPR2
−3.681
Plasma Membrane
G-protein coupled





receptor


CCL22
−3.732
Extracellular Space
cytokine


FAM124A
−3.784
Other
other


HEYL
−3.784
Nucleus
transcription





regulator


KRT75
−3.784
Cytoplasm
other


PTPN3
−3.811
Cytoplasm
phosphatase


BMP8B
−4.084
Extracellular Space
growth factor


CYP26C1
−4.141
Cytoplasm
enzyme


TPD52L1
−4.141
Cytoplasm
other


TMPRSS11F
−4.438
Other
peptidase


UNC45B
−4.959
Cytoplasm
other


MAGEA8
−5.169
Other
other


C1orf61
−5.618
Cytoplasm
other


SAMSN1
−6.277
Nucleus
other


GPR151
−6.869
Plasma Membrane
G-protein coupled





receptor


FAM153A
−7.434
Other
other


KCNV1
−7.835
Plasma Membrane
ion channel


OR10G7
−7.835
Plasma Membrane
G-protein coupled





receptor


EFCAB1
−8.000
Other
other


DYDC1
−9.063
Other
other


CD300LD
−9.448
Plasma Membrane
other









In the tables 2 to 15 below the genes affected by synergistic effect of the combination of extracts of example 1 in relation to the specific disorder are shown.









TABLE 2







Synergy induced effect of ADAPT on genes involved


in ageing related cardiovascular disorders.









Disease or Function




Annotation
p-Value
Entrez Gene Name





fibrosis of cardiac valve
1.08E−02
SLC6A4


fibrosis of valve leaflet
1.08E−02
SLC6A4


regression of artery
1.08E−02
DLL4


fibrosis of perivascular cuff
2.14E−02
AGTR2


congestive heart failure
2.62E−02
GLP1R, SLC12A1,




SLC6A4, STAB1


activation of endothelial cells
3.53E−03
BMPER, DLL4,




FPR2, SERPINA4


angiogenesis of capillary vessel
9.66E−03
GH2, STAB1


pH of vascular smooth muscle cells
1.08E−02
AGTR2


patterning of umbilical artery
1.08E−02
DLL4


remodeling of vasculature
1.93E−02
DLL4, SLC6A4


abnormal morphology of common
2.14E−02
DLL4


cardinal vein


diastolic pressure
2.25E−02
AGTR2, GLP1R,




LRRK2


abnormal morphology of atretic
3.20E−02
DLL4


vasculature


development of capillary plexus
3.20E−02
DLL4


network formation of vascular
3.20E−02
DLL4


endothelial cells


angiogenesis of leg
4.24E−02
AGTR2


cardiac contractility of
4.24E−02
GLP1R


left ventricle
















TABLE 3







Synergy induced effect of ADAPT on genes


involved in ageing related cell death.









Disease or Function




Annotation
p-Value
Entrez Gene Name





cell death of leukemic blasts
3.44E−04
FLT3, IL7


apoptosis of T cell acute
1.08E−02
IL7


lymphoblastic leukemia cells


apoptosis of induced pluripotent
1.08E−02
LRRK2


stem cells


breakdown of oocytes
1.08E−02
IL7


degeneration of dorsal root
1.08E−02
ABCD2


ganglion cells


delay in apoptosis of pre-B
1.08E−02
IL7


lymphocytes


regeneration of granulocytes
1.08E−02
IL7


regeneration of megakaryocytes
1.08E−02
IL7


survival of lymphoid tissue-
1.08E−02
IL7


inducing cells


survival of natural killer-22 cells
1.08E−02
IL7


survival of retinal rods
1.08E−02
NEUROD1


apoptosis of leukemic blasts
2.14E−02
IL7


cell viability of DN2 cells
2.14E−02
IL7


cell viability of pro T4 thymocytes
2.14E−02
IL7


cell viability of pro-T3 thymocytes
2.14E−02
IL7


survival of peripheral T lymphocyte
2.14E−02
IL7


apoptosis of medial smooth muscle
3.20E−02
AGTR2


cells


apoptosis of recent thymic emigrants
3.20E−02
IL7


cell viability of TREG cells
3.20E−02
IL7


cellular degradation
4.13E−02
ABCD2, IL7, KIF1A,




LRRK2, PTPRQ


survival of effector T lymphocytes
4.24E−02
IL7


survival of natural killer T
4.24E−02
IL7


lymphocytes
















TABLE 4







Synergy induced effect of ADAPT on genes involved in


ageing related to auditory diseases and functions.









Disease or Function




Annotation
p-Value
Entrez Gene Name





differentiation of cochlear duct
1.08E−02
NEUROD1


patterning of cochlear duct
1.08E−02
NEUROD1


orientation of stereocilia bundles
1.75E−02
PTPRQ, WIF1


fusion of stereocilia in inner hair
2.14E−02
PTPRQ


cells


patterning of sensory epithelium
2.14E−02
NEUROD1


differentiation of sensory epithelium
4.24E−02
NEUROD1


autosomal recessive deafness type 84
1.08E−02
PTPRQ


nonsyndromic deafness (DFNA9)
3.20E−02
COCH
















TABLE 5







Synergy induced effect of ADAPT on genes involved


in ageing related to cell degeneration.









Disease or Function




Annotation
p-Value
Entrez Gene Name





degeneration of germ cells
5.97E−03
BMP8B, SPO11


degeneration of dorsal root
1.08E−02
ABCD2


ganglion cells


degeneration of cells
1.72E−02
ABCD2, BMP8B, GUCY2F,




KIF1A, LRRK2, PTPRQ,




RBP3, SPO11


injury of dopaminergic
2.14E−02
DLL4


neurons


atrophy of acinar gland
3.20E−02
AGTR2


cells


degeneration of
3.20E−02
LRRK2


neuroblastoma cell lines


disruption of microvascular
3.20E−02
ANGPTL4


endothelial cells


dysfunction of retinal cone
3.20E−02
RBP3


cells


vacuolation of cardiomyocytes
3.20E−02
AGTR2


degeneration of male germ
4.24E−02
BMP8B


cells
















TABLE 6







Synergy induced effect of ADAPT on genes involved


in ageing related to dermatological diseases.









Disease or Function




Annotation
p-Value
Entrez Gene Name





malignant cutaneous melanoma
7.19E−03
BRINP2, C1orf173, CCDC148, CHDC2,


cancer

HCN1, LRP1B, NETO1, OR4D5, OR51A4,




PCDHA1, PTPN3, SLCO4C1, SPOCK3,




STAB1, TGM3, TYR


focal facial dermal dysplasia type 4
1.08E−02
CYP26C1


oculocutaneous albinism type 1B
1.08E−02
TYR


susceptibility to pseudofolliculitis
1.08E−02
KRT75


barbae


tyrosinase-negative oculocutaneous
1.08E−02
TYR


albinism


vitiligo vulgaris
1.26E−02
TYR, UBASH3A


skin cancer
1.54E−02
ANGPTL4, BRINP2, C1orf173, CCDC148,




CCL18, CHDC2, HCN1, LRP1B, NETO1,




OR4D5, OR51A4, PCDHA1, PTPN3, SLCO4C1,




SPOCK3, STAB1, TGM3, TYR


melasma
4.24E−02
TYR


malignant cutaneous melanoma
7.19E−03
BRINP2, C1orf173, CCDC148, CHDC2,


cancer

HCN1, LRP1B, NETO1, OR4D5, OR51A4,




PCDHA1, PTPN3, SLCO4C1, SPOCK3,




STAB1, TGM3, TYR


focal facial dermal dysplasia type 4
1.08E−02
CYP26C1


oculocutaneous albinism type 1B
1.08E−02
TYR


susceptibility to pseudofolliculitis
1.08E−02
KRT75


barbae


tyrosinase-negative oculocutaneous
1.08E−02
TYR


albinism


vitiligo vulgaris
1.26E−02
TYR, UBASH3A


skin cancer
1.54E−02
ANGPTL4, BRINP2, C1orf173, CCDC148,




CCL18, CHDC2, HCN1, LRP1B, NETO1,




OR4D5, OR51A4, PCDHA1, PTPN3, SLCO4C1,




SPOCK3, STAB1, TGM3, TYR


melasma
4.24E−02
TYR
















TABLE 7







Synergy induced effect of ADAPT on genes involved


in ageing related digestive system disorders.









Disease or Function




Annotation
p-Value
Entrez Gene Name





abnormal intestinal transit time
1.08E−02
CCKAR


of small intestine


formation of cecal patch
1.08E−02
IL7


development of enteroendocrine
2.14E−02
NEUROD1


cells


volume of gall bladder
2.14E−02
CCKAR


lack of islets of Langerhans
3.20E−02
NEUROD1


abnormal morphology of intestinal
3.88E−02
ANGPTL4, NEUROD1


mucosa
















TABLE 8







Synergy induced effect of ADAPT on genes involved


in ageing related to endocrine system disorders.









Disease or Function




Annotation
p-Value
Entrez Gene Name





abnormal secretion by pancreas
3.10E−03
CCKAR, GLP1R


Bartter syndrome type 1
1.08E−02
SLC12A1


central hypothyroidism and testicular
1.08E−02
IGSF1


enlargement


edema of pancreatic tissue
1.08E−02
CR1


maturity-onset diabetes of the young,
1.08E−02
NEUROD1


type VI


susceptibility to Graves' disease
1.08E−02
GC


type 3


maturity-onset diabetes of the young
1.93E−02
GLP1R, NEUROD1


acinar cell adenoma
2.14E−02
CCKAR


hyperplasia of C-cells
2.14E−02
GLP1R


autoimmune pancreatitis
2.52E−02
GC, PBLD
















TABLE 9







Synergy induced effect of ADAPT on genes involved


in ageing related to energy production.









Disease or Function




Annotation
p-Value
Entrez Gene Name





oxidation of 11-cis-retinal
1.08E−02
RBP3


oxidation of 11-cis-retinol
1.08E−02
RBP3


oxidation of L-dopa
2.14E−02
TYR


beta-oxidation of 22:6(n-3) fatty acids
3.20E−02
ABCD2
















TABLE 10







Synergy induced effect of ADAPT on genes involved


in ageing related gastrointestinal disorders.









Disease or Function




Annotation
p-Value
Entrez Gene Name





colon adenocarcinoma
3.94E−04
ACMSD, AGTR2, ANGPTL4, BRINP2, C1orf173,




CCDC173, CDHR5, CHDC2, CTCFL, CTNNA3,




FAM124A, FAM179A, FLT3, GARNL3, GOT1L1,




GPR151, GUCY2F, HM13, KIF1A, LCE4A,




LILRA6, LRFN5, LRP1B, LRRIQ3, LRRK2,




MYH15, NEUROD1, OR2L13, OR4K5, OR5AC2,




OVCH1, PCDH8, PCDHGA8, PTPRQ, RBP3,




RGS22, SAMD3, SAMSN1, SEPT14, SLC17A6,




SLCO4C1, SMC1B, SPO11, SPTBN4, SRL,




ST8SIA6, STAB1, TACR1, TEX26, TGM3,




TMPRSS11F, TOPAZ1, TYR, UNC13C, UNC45B,




ZFP64


abnormal secretion by
3.10E−03
CCKAR, GLP1R


pancreas


pediatric inflammatory bowel
3.10E−03
PHACTR3, TACR1


disease


colon cancer
3.12E−03
ACMSD, AGTR2, ANGPTL4, BRINP2, C1orf173,




CCDC173, CDHR5, CHDC2, CTCFL, CTNNA3,




FAM124A, FAM179A, FLT3, GARNL3, GOT1L1,




GPR151, GUCY2F, HM13, KIF1A, LCE4A,




LILRA6, LRFN5, LRP1B, LRRIQ3, LRRK2,




MYH15, NEUROD1, OR2L13, OR4K5, OR5AC2,




OVCH1, PCDH8, PCDHGA8, PTPRQ, RBP3,




RGS22, SAMD3, SAMSN1, SEPT14, SLC17A6,




SLCO4C1, SMC1B, SPO11, SPTBN14, SRL,




ST8SIA6, STAB1, TACR1, TEX26, TGM3,




TMPRSS11F, TOPAZ1, TPD52L1, TYR, UNC13C,




UNC45B, ZFP64


edema of pancreatic tissue
1.08E−02
CR1


maturity-onset diabetes of the
1.08E−02
NEUROD1


young, type VI


maturity-onset diabetes of the
1.93E−02
GLP1R, NEUROD1


young


colorectal cancer
2.09E−02
ACMSD, AGTR2, ANGPTL4, BRINP2, C1orf173,




CCDC173, CDHR5, CHDC2, CTCFL, CTNNA3,




FAM124A, FAM179A, FLT3, GARNL3, GOT1L1,




GPR151, GUCY2F, HM13, IFNW1, KIF1A,




LCE4A, LILRA6, LRFN5, LRP1B, LRRIQ3,




LRRK2, MAB21L1, MYH15, NEUROD1, OR2L13,




OR4K5, OR5AC2, OVCH1, PCDH8, PCDHGA8,




PTPRQ, RBP3, RGS22, SAMD3, SAMSN1,




SEPT14, SLC17A6, SLCO4C1, SMC1B, SPO11,




SPTBN4, SRL, ST8SIA6, STAB1, TACR1,




TEX26, TGM3, TMPRSS11F, TOPAZ1, TPD52L1,




TYR, UNC13C, UNC45B, ZFP64


acinar cell adenoma
2.14E−02
CCKAR


autoimmune pancreatitis
2.52E−02
GC, PBLD


irritable bowel syndrome
2.52E−02
CCKAR, SLC6A4


Sjogren's syndrome
3.04E−02
CCL18, CCL22, CD69, IL7
















TABLE 11







Synergy induced effect of ADAPT on genes involved


in ageing related to modulation immune functions.









Disease or Function




Annotation
p-Value
Entrez Gene Name





proliferation of pro-B lymphocytes
1.75E−02
FLT3, IL7


exit from cell cycle progression of pre-B
2.14E−02
IL7


lymphocytes


development of pro-B lymphocytes
2.95E−02
FLT3, IL7


chemoattraction of B lymphocytes
3.20E−02
CCL18


induction of pre-B lymphocytes
3.20E−02
IL7


generation of B lymphocytes
3.40E−02
CD69, IL7


differentiation of pro-B lymphocytes
4.13E−02
FLT3, IL7


quantity of pre-B1 lymphocytes
4.24E−02
IL7


expansion of B lymphocytes
4.38E−02
DLL4, IL7


chemotaxis of regulatory T lymphocytes
1.16E−04
CCL18, CCL22


cell movement of regulatory T lymphocytes
7.51E−04
CCL18, CCL22, STAB1


activation of leukocytes
2.55E−03
CCL22, CD300LD, CLEC5A,




CR1, DLL4, FLT3, FPR2,




GC, IFNA8, IFNW1, IL7,




LILRB1, SAMSN1, SASH3,




SUCNR1, TACR1, TRAV7,




TYR


activation of mononuclear leukocytes
4.09E−03
CCL22, CLEC5A, DLL4, FLT3,




IFNA8, IFNW1, IL7, LILRB1,




SAMSN1, SASH3, SUCNR1,




TACR1, TRAV7, TYR


migration of regulatory T lymphocytes
4.92E−03
CCL22, STAB1


activation of lymphocytes
6.81E−03
CCL22, DLL4, FLT3, IFNA8,




IFNW1, IL7, LILRB1,




SAMSN1, SASH3, SUCNR1,




TACR1, TRAV7, TYR


cell movement of naive T lymphocytes
7.11E−03
CCL18, CCL22


accumulation of lymphoid tissue-inducing cells
1.08E−02
IL7


attraction of Th2 cells
1.08E−02
CCL22


chemoattraction of leukocyte cell lines
1.08E−02
CCL22


chemoattraction of regulatory T lymphocytes
1.08E−02
CCL18


delay in initiation of activation of natural killer
1.08E−02
FLT3


cells


recruitment of peritoneal macrophages
1.08E−02
CCL22


activation of macrophages
1.16E−02
CCL22, CR1, GC, IFNA8,




IFNW1, IL7


activation of phagocytes
1.39E−02
CCL22, CD300LD, CLEC5A,




CR1, FPR2, GC, IFNA8,




IFNW1, IL7


chemotaxis of microglia
1.41E−02
FPR2, LRRK2


activation of myeloid cells
1.44E−02
CCL22, CLEC5A, CR1,




FPR2, GC, IFNA8,




IFNW1, IL7


activation of T lymphocytes
1.46E−02
CCL22, DLL4, IFNA8,




IFNW1, IL7, LILRB1,




SUCNR1, TACR1, TRAV7,




TYR


activation of helper T lymphocytes
1.58E−02
DLL4, IFNA8, IFNW1


activation of memory T lymphocytes
2.12E−02
IFNA8, IFNW1


chemoattraction of lymphocytes
2.12E−02
CCL18, CCL22


recruitment of Th2 memory cells
2.14E−02
CCL22


relocalization of T lymphocytes
2.14E−02
CD69


trafficking of regulatory T lymphocytes
2.14E−02
CCL22


migration of monocyte-derived dendritic cells
2.52E−02
CCL22, FPR2


adhesion of immune cells
2.94E−02
BMPER, CCL22, CD300LD,




CD69, CR1, FAM65B, FPR2,




IL7, STAB1


cell movement of thymocytes
2.95E−02
CCL22, CD69


aggregation of PBMCs
3.20E−02
IL7


chemoattraction of B lymphocytes
3.20E−02
CCL18


chemoattraction of natural killer cells
3.20E−02
CCL22


activation of Th1 cells
3.40E−02
IFNA8, IFNW1


attraction of T lymphocytes
3.40E−02
CCL18, CCL22


activation of mucosal-associated invariant T
4.24E−02
TRAV7


lymphocytes


susceptibility to Graves' disease type 3
1.08E−02
GC


vitiligo vulgaris
1.26E−02
TYR, UBASH3A


polyarticular juvenile rheumatoid arthritis
1.46E−02
CD69, CR1, FPR2, SLC6A4


infection of memory T lymphocytes
2.14E−02
IL7


lesioning of para-aortic lymph nodes
2.14E−02
SPINT1


autoimmune pancreatitis
2.52E−02
GC, PBLD


Sjogren's syndrome
3.04E−02
CCL18, CCL22, CD69, IL7


infection of naive T lymphocytes
4.24E−02
IL7
















TABLE 12







Synergy induced effect of ADAPT on genes involved


in ageing related to inflammatory response.









Disease or Function




Annotation
p-Value
Entrez Gene Name





polyarticular juvenile rheumatoid arthritis
1.46E−02
CD69, CR1, FPR2, SLC6A4


autoimmune pancreatitis
2.52E−02
GC, PBLD


activation of leukocytes
2.55E−03
CCL22, CD300LD, CLEC5A,




CR1, DLL4, FLT3, FPR2,




GC, IFNA8, IFNW1, IL7,




LILRB1, SAMSN1, SASH3,




SUCNR1, TACR1, TRAV7, TYR


activation of mononuclear leukocytes
4.09E−03
CCL22, CLEC5A, DLL4, FLT3,




IFNA8, IFNW1, IL7, LILRB1,




SAMSN1, SASH3, SUCNR1,




TACR1, TRAV7, TYR


proliferation of dendritic cells
6.27E−03
FLT3, IFNA8, IFNW1


activation of lymphocytes
6.81E−03
CCL22, DLL4, FLT3, IFNA8,




IFNW1, IL7, LILRB1, SAMSN1,




SASH3, SUCNR1, TACR1,




TRAV7, TYR


accumulation of lymphoid tissue-inducing cells
1.08E−02
IL7


chemoattraction of regulatory T lymphocytes
1.08E−02
CCL18


delay in initiation of activation of natural killer
1.08E−02
FLT3


cells


recruitment of peritoneal macrophages
1.08E−02
CCL22


activation of macrophages
1.16E−02
CCL22, CR1, GC, IFNA8,




IFNW1, IL7


antimicrobial response
1.25E−02
CCL22, CLEC5A, EPPIN,




IFNA8, IFNW1, LILRB1,




STAB1


activation of phagocytes
1.39E−02
CCL22, CD300LD, CLEC5A,




CR1, FPR2, GC, IFNA8,




IFNW1, IL7


chemotaxis of microglia
1.41E−02
FPR2, LRRK2


activation of myeloid cells
1.44E−02
CCL22, CLEC5A, CR1, FPR2,




GC, IFNA8, IFNW1, IL7


activation of T lymphocytes
1.46E−02
CCL22, DLL4, IFNA8, IFNW1,




IL7, LILRB1, SUCNR1, TACR1,




TRAV7, TYR


activation of helper T lymphocytes
1.58E−02
DLL4, IFNA8, IFNW1


antiviral response
1.65E−02
CCL22, CLEC5A, IFNA8, IFNW1,




LILRB1


activation of memory T lymphocytes
2.12E−02
IFNA8, IFNW1


chemoattraction of lymphocytes
2.12E−02
CCL18, CCL22


Th2 immune response of natural killer T
2.14E−02
IL7


lymphocytes


expansion of bone marrow dendritic cell
2.14E−02
FLT3


precursor


relocalization of T lymphocytes
2.14E−02
CD69


migration of monocyte-derived dendritic cells
2.52E−02
CCL22, FPR2


aggregation of PBMCs
3.20E−02
IL7


chemoattraction of B lymphocytes
3.20E−02
CCL18


chemoattraction of natural killer cells
3.20E−02
CCL22


inflammatory response of monocytes
3.20E−02
CLEC5A


activation of Th1 cells
3.40E−02
IFNA8, IFNW1


activation of mucosal-associated invariant T
4.24E−02
TRAV7


lymphocytes


proliferation of dendritic precursor cells
4.24E−02
FLT3


inflammatory response
4.66E−02
ABCD2, AGTR2, CCL18, CCL22,




CD69, CLEC5A, CR1, FPR2,




GC, IFNA8, IFNW1, IL7,




LRRK2, SASH3, TACR1
















TABLE 13







Synergy induced effect of ADAPT on genes involved


in ageing related to lipid metabolism.









Disease or Function




Annotation
p-Value
Entrez Gene Name





accumulation of very long chain
6.84E−04
ABCD2, CCL22


fatty acid


agglomeration of cholesterol
1.08E−02
CCKAR


conversion of tretinoin
1.08E−02
CYP26C1


entrance of calcifediol
1.08E−02
GC


formation of 11-cis-retinal
1.08E−02
RGR


oxidation of 11-cis-retinal
1.08E−02
RBP3


oxidation of 11-cis-retinol
1.08E−02
RBP3


utilization of triacylglycerol
1.08E−02
ANGPTL4


dephosphorylation of
2.14E−02
PTPRQ


phosphtidylinositol 5-


phosphate


mobilization of all-trans-
2.14E−02
RGR


retinyl esters


transport of vitamin D
2.14E−02
GC


beta-oxidation of 22:6(n-3)
3.20E−02
ABCD2


fatty acids


dephosphorylation of
3.20E−02
PTPRQ


phosphatidylinositol 3,5-


diphosphate


dephosphorylation of
3.20E−02
PTPRQ


phosphatidylinositol 4,5-


diphosphate


dephosphorylation of
3.20E−02
PTPRQ


phosphatidylinositol 4-


phosphate


elongation of very long chain
3.20E−02
ABCD2


fatty acid


concentration of corticosterone
3.59E−02
AGTR2, GLP1R, SLC6A4,




TACR1


dephosphorylation of
4.24E−02
PTPRQ


phosphatidylinositol 3,4-


diphosphate


excretion of prostaglandin E2
4.24E−02
SLC12A1


agglomeration of cholesterol
1.08E−02
CCKAR
















TABLE 14







Synergy induced effect of ADAPT on genes involved


in ageing related to metabolic diseases.









Disease or Function




Annotation
p-Value
Entrez Gene Name





Bartter syndrome type 1
1.08E−02
SLC12A1


central hypothyroidism and testicular
1.08E−02
IGSF1


enlargement


deficiency of protein z
1.08E−02
PROZ


hypokalemic alkalosis
1.08E−02
SLC12A1


maturity-onset diabetes of the young,
1.08E−02
NEUROD1


type VI


oculocutaneous albinism type 1B
1.08E−02
TYR


susceptibility to Graves' disease
1.08E−02
GC


type 3


susceptibility to reduced triglycerides
1.08E−02
ANGPTL4


tyrosinase-negative oculocutaneous
1.08E−02
TYR


albinism


maturity-onset diabetes of the young
1.93E−02
GLP1R, NEUROD1


hypernatremia
2.14E−02
SLC12A1


ocular albinism with sensorineurial
2.14E−02
TYR


deafnes


impaired fasting glucose
3.20E−02
GLP1R
















TABLE 15







Synergy induced effect of ADAPT on genes involved in ageing related to cancer.









Disease or Function




Annotation
p-Value
Entrez Gene Name





adenocarcinoma
1.06E−05
ABCD2, ACMSD, ADAM20, AGTR2, ANGPTL4, B3GAT1, BNIPL,




BRINP2, C1orf173, CCDC173, CCKAR, CDHR5, CHDC2,




CHST9, CR1, CTCFL, CTNNA3, DTHD1, FAM124A, FAM153A,




FAM179A, FLT3, GARNL3, GC, GOT1L1, GPR151, GUCY2F,




HM13, IGSF1, KIF1A, KRTAP10-11, LCE4A, LILRA6, LILRB1,




LRFN5, LRP1B, LRRIQ3, LRRK2, MYH15, NEUROD1, OR10G7,




OR2L13, OR2L2, OR4C3, OR4K5, OR5AC2, OR5T3, OVCH1,




PCDH8, PCDHA6, PCDHB18, PCDHGA8, PTPRQ, RASSF9, RBP3,




RGS22, SAMD3, SAMSN1, SASH3, SEPT14, SERPINA4,




SLC16A10, SLC17A6, SLCO4C1, SMC1B, SPO11, SPOCK3,




SPTBN4, SRL, ST8SIA6, STAB1, SYNPO2, SYNPR, TACR1,




TEKT5, TEX26, TGM3, TIFAB, TMEM257, TMPRSS11F, TOPAZ1,




TYR, UNC13C, UNC45B, WIF1, ZFP64, ZNF534


colon
3.94E−04
ACMSD, AGTR2, ANGPTL4, BRINP2, C1orf173, CCDC173, CDHR5,


adenocarcinoma

CHDC2, CTCFL, CTNNA3, FAM124A, FAM179A, FLT3, GARNL3,




GOT1L1, GPR151, GUCY2F, HM13, KIF1A, LCE4A, LILRA6,




LRFN5, LRP1B, LRRIQ3, LRRK2, MYH15, NEUROD1, OR2L13,




OR4K5, OR5AC2, OVCH1, PCDH8, PCDHGA8, PTPRQ, RBP3,




RGS22, SAMD3, SAMSN1, SEPT14, SLC17A6, SLCO4C1, SMC1B,




SPO11, SPTBN4, SRL, ST8SIA6, STAB1, TACR1, TEX26, TGM3,




TMPRSS11F, TOPAZ1, TYR, UNC13C, UNC45B, ZFP64


endometrioid
5.21E−04
AGTR2, BMPER, C1orf100, C9orf57, CASQ1, CCDC148, CCKAR,


carcinoma

CR1, CTNNA3, DCDC1, DYDC1, FAM179A, FAM65B, FLT3, GUCY2F,




HCN1, IGSF1, KRT75, LRP1B, LRRC19, LRRIQ3, LRRK2, NETO1,




NOX5, OR10G7, OR4D5, OR4K15, OR51A4, OR6C6, OVCH1, PCDH17,




PCDH19, PCDHA6, PLSCR2, PPP1R9A, PTPN3, RASSF9, RGS22,




S100Z, SAMD3, SMC1B, SPINK5, SPOCK3, SPTSSB, STAB1, TACR1,




TEKT5, TGM3, UNC13C, UNC45B, ZFP42, ZFP64, ZNF396, ZNF534


colon cancer
3.12E−03
ACMSD, AGTR2, ANGPTL4, BRINP2, C1orf173, CCDC173, CDHR5,




CHDC2, CTCFL, CTNNA3, FAM124A, FAM179A, FLT3, GARNL3,




GOT1L1, GPR151, GUCY2F, HM13, KIF1A, LCE4A, LILRA6, LRFN5,




LRP1B, LRRIQ3, LRRK2, MYH15, NEUROD1, OR2L13, OR4K5,




OR5AC2, OVCH1, PCDH8, PCDHGA8, PTPRQ, RBP3, RGS22, SAMD3,




SAMSN1, SEPT14, SLC17A6, SLCO4C1, SMC1B, SPO11, SPTBN4,




SRL, ST8SIA6, STAB1, TACR1, TEX26, TGM3, TMPRSS11F, TOPAZ1,




TPD52L1, TYR, UNC13C, UNC45B, ZFP64


malignant cutaneous
7.19E−03
BRINP2, C1orf173, CCDC148, CHDC2, HCN1, LRP1B, NETO1, OR4D5,


melanoma cancer

OR51A4, PCDHA1, PTPN3, SLCO4C1, SPOCK3, STAB1, TGM3, TYR


epithelial neoplasia
9.17E−03
ABCD2, ACMSD, ADAM20, AGTR2, ANGPTL4, ANO6, B3GAT1, BNIPL,




BRINP2, C1orf173, C1orf61, CCDC173, CCKAR, CDHR5, CHDC2,




CHST9, CR1, CTCFL, CTNNA3, DTHD1, FAM124A, FAM153A,




FAM179A, FLT3, FPR2, GARNL3, GC, GOT1L1, GPR151, GUCY2F,




HCN1, HM13, IGSF1, KIF1A, KRTAP10-11, LCE4A, LILRA6, LILRB1,




LRFN5, LRP1B, LRRIQ3, LRRK2, LRTM2, MYH15, NEUROD1, OR10G7,




OR1A1, OR2L13, OR2L2, OR4C3, OR4K5, OR5AC2, OR5T3, OVCH1,




PCDH19, PCDH8, PCDHA1, PCDHA6, PCDHB18, PCDHGA8, PTPRQ,




RADIL, RASSF9, RBP3, RGS22, SAMD3, SAMSN1, SASH3, SEPT14,




SERPINA4, SHANK2, SLC16A10, SLC17A6, SLCO4C1, SMC1B,




SPAG17, SPINK5, SPO11, SPOCK3, SPTBN4, SRL, ST8SIA6,




STAB1, SYNPO2, SYNPR, TACR1, TEKT5, TEX26, TGM3, TIFAB,




TMEM257, TMPRSS11F, TOPAZ1, TYR, UNC13C, UNC45B, WIF1,




ZFP64, ZNF534


carcinoma
1.04E−02
ABCD2, ACMSD, ADAM20, AGTR2, ANGPTL4, B3GAT1, BNIPL,




BRINP2, C1orf173, C1orf61, CCDC173, CCKAR, CDHR5, CHDC2,




CHST9, CR1, CTCFL, CTNNA3, DTHD1, FAM124A, FAM153A,




FAM179A, FLT3, GARNL3, GC, GOT1L1, GPR151, GUCY2F, HCN1,




HM13, IGSF1, KIF1A, KRTAP10-11, LCE4A, LILRA6, LILRB1,




LRFN5, LRP1B, LRRIQ3, LRRK2, LRTM2, MYH15, NEUROD1,




OR10G7, OR2L13, OR2L2, OR4C3, OR4K5, OR5AC2, OR5T3, OVCH1,




PCDH19, PCDH8, PCDHA1, PCDHA6, PCDHB18, PCDHGA8, PTPRQ,




RASSF9, RBP3, RGS22, SAMD3, SAMSN1, SASH3, SEPT14, SERPINA4,




SHANK2, SLC16A10, SLC17A6, SLCO4C1, SMC1B, SPAG17, SPINK5,




SPO11, SPOCK3, SPTBN4, SRL, ST8SIA6, STAB1, SYNPO2, SYNPR,




TACR1, TEKT5, TEX26, TGM3, TIFAB, TMEM257, TMPRSS11F, TOPAZ1,




TYR, UNC13C, UNC45B, WIF1, ZFP64, ZNF534


expansion of
1.08E−02
IL7


leukemia cells


metastasis of liver
1.08E−02
C1orf61


cell lines


size of brain tumor
1.08E−02
B3GAT1


tumorigenesis of
1.08E−02
ANGPTL4


endothelial cells


skin cancer
1.54E−02
ANGPTL4, BRINP2, C1orf173, CCDC148, CCL18, CHDC2, HCN1,




LRP1B, NETO1, OR4D5, OR51A4, PCDHA1, PTPN3, SLCO4C1,




SPOCK3, STAB1, TGM3, TYR


colorectal cancer
2.09E−02
ACMSD, AGTR2, ANGPTL4, BRINP2, C1orf173, CCDC173, CDHR5,




CHDC2, CTCFL, CTNNA3, FAM124A, FAM179A, FLT3, GARNL3,




GOT1L1, GPR151, GUCY2F, HM13, IFNW1, KIF1A, LCE4A, LILRA6,




LRFN5, LRP1B, LRRIQ3, LRRK2, MAB21L1, MYH15, NEUROD1,




OR2L13, OR4K5, OR5AC2, OVCH1, PCDH8, PCDHGA8, PTPRQ,




RBP3, RGS22, SAMD3, SAMSN1, SEPT14, SLC17A6, SLCO4C1,




SMC1B, SPO11, SPTBN4, SRL, ST8SIA6, STAB1, TACR1, TEX26,




TGM3, TMPRSS11F, TOPAZ1, TPD52L1, TYR, UNC13C, UNC45B, ZFP64









Example 6

The combination extract ADAPT-232 of example 1 and the combination extract ADAPT-232 with calcium pantothenate of example 2 were prepared in amylum suspension (1% w/v).


The randomised sets of experimental animals were divided into 4 study groups (control group C, ADAPT-232 groups Ai and A, and ADAPT-232+D-panthenol group B) such that each group comprised one set of 5 male rats and one set of 5 female rats. The placebo and study drugs were administered intragastrically over a 4 month (120 day) period at a dose of 2×76 mg/kg ADAPT-232 per day with 10 h interval or 2×86 mg/kg ADAPT-232 with calcium pantothenate. In the Ai group treatment was interrupted after 30 days for a period of 14 days.


The study population consisted of 45 white outbreed male and female aged 2.0-2.1 years with weights in the range 380-420 g. Prior to selection, animals were submitted to a 14 day acclimatization period (quarantine). Animals were selected for inclusion in the study on the basis that their weight did not deviate by more than ±5% from the population average for the gender. Animals were randomised into 9 sets of 5 animals (4 sets of male rats and 5 sets of female rats), and the members of each set were placed together in a cage, the label of which bore the identity numbers of the animals in that set.


Cages were maintained in separate rooms under a 12 h light-12 h dark regime at an air temperature within the range 19-25° C. and a relative humidity between 50 and 70%. The temperature and humidity were recorded daily whilst the levels of carbon dioxide and ammonia in the air were monitored constantly. The ventilation system employed was able to provide 15 facility volumes per hour, with carbon dioxide concentration not higher than 0.15 volume % and ammonia concentration not higher than 0.001 mg/l, at an air exchange rate controlled by an anemometer. The experimental animals were fed on standard granular fodder together with a mixed feed that included uncooked vegetables, bread, cottage cheese, vitamin food supplements and yeast. Rations were provided from a fodder trough fitted with a steel trellised cage cover appropriate for the age norm of the animals. Specially prepared filtered water was given ad libitum in standard autoclaved drinking bottles with steel tips.


At the end of the administration period animals were sacrificed.


Example 6.1

The effect on the cells programmed death/apoptosis was tested.


Spleens were homogenised and filtered, and the erythrocytes destroyed by the addition of ammonium chloride solution. The lymphocytes were suspended in RPMI 1640 medium supplemented with gentamycin and 10% embryonic serum and the cell density determined by counting in a Gorjaev chamber. The lymphocyte suspension was fixed with 8% formalin solution and an equal volume of a 5 mg/ml solution of the DNA-specific fluorochrome Hoechst 33342 added. Samples were incubated at room temperature for 10 min, washed, and the ratio of cells with “norm” and “apoptotic” DNA in the nucleus estimated by fluorescent microscopy. To the positive control was added tumour necrosis factor-alpha (TNF-alpha) to a concentration of 500 U/ml, and actinomycin D to a concentration of 1 mg/ml. The level of apoptosis was determined as the percentage ratio of cells with nuclei containing condensed chromatin in comparison with cells containing diffused chromatin (100 cells in the visual field were counted).


The studied drugs reduced the level of apoptosis significantly with respect to the positive control, and the efficacy of the therapy applied was: B>A>Ai.









TABLE 16







Effects of administration of the studied drugs for 120


days on the level of apoptosis in aged white rats.










Level of apoptosis (% ratio)












Groups
Males
Females







Native§
1.0 ± 0.1
1.1 ± 0.2



Control (placebo)
28.6 ± 3.3*
31.1 ± 0.2*



Ai
25.7 ± 3.6*
23.5 ± 4.3*



A
18.7 ± 3.3*
18.1 ± 3.9*



B
 9.0 ± 0.7*
 9.0 ± 0.6*



Positive control
80.0 ± 3.8 
79.0 ± 5.0 







The levels of apoptosis shown are arithmetic means ± SEM




§Non-treated healthy 5 month old rats




*Indicates a significant difference of the mean value compared with that of the positive control group (P < 0.05)




TNF-alpha stimulated splenocytes of aged rats







Example 6.2

The effect on the spontaneous occurrence of tumours was investigated. Each animal was examined and weighed every day throughout the drug administration period, and particular emphasis was given to the detection of tumours by palpation. Three of the experimental animals in the control group died in the middle of the 4th month of the study. The causes of death were: (i) pneumonia with hypostasis and leukocyte infiltration (in a male), (ii) suppurative inflammation of the uterine horns with abscesses and peritonitis (in a female), and (iii) unidentified virus infection with conjunctivitis and hemorrhagic alteration of the lungs and intestines (in a male).









TABLE 17







Effects of administration of the studied drugs on the


occurrence of tumours and the survival of aged white rats.









Days of administration of studied drug













Group total
30 days
60 days
90 days
120 days
















before
No. of
No. of
No. of
No. diagnosed
No. of


Groups
Gender
study
deaths
deaths
deaths
with tumours
deaths





Control
Males
5
0
0
0
2
2



Females
5
0
0
0
1
1


Ai
Males
5
0
0
0
0
0



Females
5
0
0
0
1
0


A
Males
5
0
0
0
0
0



Females
5
0
0
0
1
0


B
Males
5
0
0
0
0
0



Females
5
0
0
0
0
0









Example 6.3

The effect on hypothalamus-pituitary-adrenal system activity and on lipid and protein metabolism was performed. In order to determine the levels of 17-oxycorticosteroids (17-OCS) on day 120 of the study period, urine was collected over a 24 h period by placing the animals in Tecniplast Gazzada metabolic cages. The assay of 17-OCS was based on the formation of a yellow coloured product when the analyte was heated with phenylhydrazine in the presence of sulphuric acid and ethanol. Since 17-OCS is mainly present in urine in the form of glucuronate and sulphate conjugates, the assay involved hydrolysis with glucoronidase followed by extraction with chloroform and dichloromethane, and subsequent addition of a mixture of sulphuric acid and ethanol. A control assay was carried out in order to determine the level of non-specific colouration in the absence of phenylhydrazine.


At the end of the study period, the levels of 17-OCS, albumins and total proteins in the control animals had decreased from their baseline values of 11.3±1.2 μmole/day, 49.1±5.7 g/l and 75.5±4.5 g/l, respectively. In contrast, the level of cholesterol increased over the study period from its baseline value of 1.36±0.13 g/l, and this increase was particularly marked in male rats. Administration of ADAPT-232+calcium pantothenate to male rats (group B) led to increased synthesis of 17-OCS, albumins and total proteins but decreased the level of cholesterol. In males of groups Ai and A, however, the only positive effect of the studied drugs was on total protein content. Similar results were observed for females in the respective groups with the exception that continuous administration of ADAPT-232 (group A) facilitated the decrease of cholesterol level.


The treatment B prevented age-specific dysfunctions of the hypothalamus-pituitary-adrenal system and decreased age-related hypercholesterolemia and hypoproteinemia. Treatment A was less effective, but it stabilized lipid-synthesis and prevented hypercholesterolemia in female rats.









TABLE 18







Effects of administration of the studied drugs for 120


days on 17-oxycorticosteroids (17-OCS), cholesterol,


lipid and protein metabolism in aged white rats.









Groups












Control





Parameters
(placebo)
Ai
A
B










Males











17-OCS
 8.6 ± 0.6
9.6 ± 0.5
9.9 ± 0.4
11.1 ± 0.5*


(μmole/day)


Cholesterol
 3.4 ± 0.3
2.8 ± 0.2
2.7 ± 0.2
 2.3 ± 0.2*


(mmole/l)


Albumins (g/l)
39.4 ± 1.0
42.9 ± 1.9 
43.7 ± 2.0 
45.3 ± 1.1*


Protein (g/l)
69.8 ± 1.0
76.4 ± 2.0*
76.8 ± 1.8*
80.3 ± 1.2*







Females











17-OCS
 8.2 ± 0.5
9.1 ± 0.4
9.3 ± 0.5
10.4 ± 0.5*


(μmole/day)


Cholesterol
 2.6 ± 0.1
2.2 ± 0.2
 2.1 ± 0.2*
 1.8 ± 0.2*


(mmole/l)


Albumins (g/l)
38.2 ± 1.0
41.3 ± 2.0 
42.0 ± 2.0 
43.5 ± 1.0*


Protein (g/l)
69.2 ± 1.1
75.4 ± 2.1*
76.8 ± 2.0*
78.2 ± 2.0*





Values shown are arithmetic means ± SEM


*Indicates a significant difference of the mean value compared with that of the control group (P < 0.05)






Example 7

The combination of extracts ADAPT-232 with calcium pantothenate of example 2 was diluted in 0.5% starch water and given orally at a dose of 67 mg/kg daily for 4 months (group 2). The combination of extracts ADAPT-232 with calcium pantothenate was given at a dose of 91 mg/kg (group 3). At the same time, the control group of aged rats received 0.5% starch water solution as placebo (group 1).


The male Wistar rats weighed 430-480 g and were 23-26 months old at the start of the experiment. Six months old male Wistar rats, weighing 340-380 g, were used as young controls. The animals were allowed at least 14 days to acclimatize.


The experimental groups included animals with no deviations in their appearance. After the acclimatisation period, the animals were randomly divided by body weight into 8 groups (ten rats per group); 2 control groups (aged rats and young adult rats) and 6 experimental groups (aged rats). The doses administered to each animal was based on their individual body weight.


The animals were fed a complete pellet diet which was available ad libitum. In addition, drinking water was also available ad libitum. Both food and water were available through a cave in the steel wire grid cover. The rats, five animals per cage, were kept in polycarbonate cages type 3H (Charles River Laboratories Inc) with a steel wire grid cover. Each cage was illuminated to give a cycle of 12 hours light and 12 hours darkness.


The room temperature was kept at about 20-26° C., with a relative humidity of 30%-70%, and the air exchange was controlled using an anemometer. Ammonium and CO2 measurements were also taken. The ventilation system was designed to provide 15 air changes per hour to keep the CO2 level at ≦0.15% v/v and the ammonium level at ≦0.001 mg/l.


Example 7.1

The effects of the studied drugs on the blood cholesterol, HDL cholesterol and triglycerides of aged animals were evaluated. All animals were examined for blood biochemical parameters, such as total protein (TP), albumins, triglycerides (TRG), cholesterol and α-cholesterol (HDL) and.


Samples of fresh blood were collected from the inferior vena cava after overnight fasting and subsequent euthanasia (dead faint followed by cessation of breathing) of the experimental animals. Serum was isolated from the blood within 20 min of collection and the levels of lipids determined by automated colorimetric assay using a Cobas Integra (Roche, Hoffman La Roche Ltd, Basel, Switzerland) biochemical analyser and reagents. The method involved hydrolytic cleavage by cholesterol esterase of cholesterol and other sterol esters and triglycerides, followed by the action of peroxidase to yield a rose coloured product. The intensity of the absorption of the reaction mixture at 520 nm was linearly dependent on the cholesterol concentration, and the results were reported in mmol/l.









TABLE 19







Blood biochemical parameters of aged rats assayed


at day 0 (prior to administration) and day 120.














TRG
LDH





(M ± SEM)
(M ± SEM)


Group
N
Compound
mmol/l
U\l














baseline






1
10
Placebo
0.49 ± 0.04
492.2 ± 29.3


2
10
ADAPT
0.58 ± 0.04
498.5 ± 13.6


3
10
ADAPT
0.52 ± 0.04
545.3 ± 30.5


Day 120


Young
10

0.29 ± 0.04
299.7 ± 11.2


control


1
7
Placebo

0.54 ± 0.05▪


507.0 ± 49.3▪



2
8
ADAPT

0.64 ± 0.03▪


421.8 ± 21.6▪



3
9
ADAPT

0.53 ± 0.04▪


284.5 ± 28.5






differences are statistically significant (p = 0.05) from the control group of aged animals (group 1)


▪differences are statistically significant (p = 0.05) from the group of young adult animals






Example 7.2

The health status and mortality of rats during the experiment was investigated for the different treatment groups.


All animals showed normal appearance, behavioural reactions, motion and orientation activity at the start of the study and this was retained during administration of the test compounds. Indeed, there were no observed deviations in behaviour in all the groups of animals.


During the experiment cases of bronco-pulmonary diseases were observed in all groups of rats and the number of animals that fell ill and recovered from disease during administration of test compound were counted. The animals were considered ill when the following symptoms were observed: sneezing, coughing, complicated or infrequent breathing (accompanied with sound), discharges from nose and irritated mucosal membranes.









TABLE 20







The number of rats that suffered from bronco-pulmonary


diseases, percentage of mortality and recovery from diseases


during a 4-month treatment.
















Animals
Animals
Animals





Animals
recovered
demonstrated
died from
Total


Group
Compound
fell ill, %
from disease, %
chronic disease
disease, %
mortality, %





1
Placebo
90 (9/10)
11 (1/9)
55 (5/9)
33 (3/9)
33.3 (3/10)  


2
ADAPT
60 (6/10)
50 (3/6)
33 (2/6)
16 (1/6)
10 (1/10)


3
ADAPT
50 (5/10)
40 (2/5)
40 (2/5)
20 (1/5)
10 (1/10)








Claims
  • 1. A method of preventing, treating and recovering from an age related disorder, comprising administering to a subject with an age related disorder a composition, wherein the composition comprises a combination of one or more compounds selected from the group consisting of (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol,(2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol,(2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol,5,6,7,8-Tetrahydro-1,2,3,10,11,12-hexamethoxy-6,7-dimethyldibenzo[a,c]cycloocten-6-ol, and1,2,3,13-tetramethoxy-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[3′,4′]cycloocta [1′,2′:4,5]benzo[1,2-d][1,3]dioxole;and optionally pharmaceutically acceptable excipients.
  • 2. The method according to claim 1, wherein the compounds of the composition act synergistically on the ZSCAN10, PCDHAC1, HHAT, FAM5B, PHACTR3, B3GAT1, SMC1B, UBE3D, SUCNR1, C1orf105, OR2L13, ANGPTL4, OR4C3, SRL, TEX26, SPTSSB, SLC16A10, TACR1, SLC6A14, SYNPR, TIFAB, DTHD1, EPPIN, OR5T3, PCDHGA8, LRRK2, UBASH3A, CCL18, ECHDC1, RPL28, NKX2-4, KIF1A, TRBV2, C6orf222, ERP27, GRTP1, OR1A1, RADIL, ABCD2, FAM107A, SRY, DBX2, SPINK5, SYT4, BNIPL, CCKAR, OR51A4, CCDC173, SPESP1, HM13, MAB21L1, PCDH8, DLL4, OSGIN1, ANO6, TEX36, C9orf57, TGM3, CCDC148, NOX5, C20orf160, PPP1R14D, DCDC1, HS3ST3B1, ANKS4B, LILRA6, MMD2, RD3L, SLCO4C1, LRP1B, OR2L2, SERPINA4, CHST9, LRRC19, RGS22, THSD4, ATXN8OS, SPINK4, C9orf64, LRFN5, ZNF534, HPCAL1, SHANK2, CXorf1, LDHAL6B, MYH15, NEUROD1, OR4D5, LILRB1, C1orf173, C2orf50, CD69, CR1, FAM179A, HIGD1C, IGSF1, LCE4A, NETO1, PCDH19, RNASE9, SLC35D3, ST8SIA6, ADAM20, CTCFL, GARNL3, OR5AC2, SAMD3, WNT8B, SYNPO2, PROZ, ARMS2, PCDHB18, RBP3, SLC10A4, SLC17A6, PBLD, SPINT1, CASQ1, HCN1, AGTR2, SDPR, SEPT14, GOT1L1, PTPRQ, C12orf39, C1orf100, LRTM2, OVCH1, PALMD, S100Z, SH3BP5L, SLC10A6, SLC18A1, CXorf59, IFNW1, IFNA8, SLC12A1, C3orf77, ZFP42, BMPER, FLJ40194, KRTAP10-11, OR4K15, OR6C6, SASH3, SLC16A8, SPAG17, SPOCK3, ZFP64, COCH, FIGN, PPP1R9A, TXLNB, TYR, STAB1, C11orf16, GLP1R, ACMSD, PCDHA1, CLEC5A, OR4K5, PCDHA6, RGR, SPO11, PCDH17, WIF1, DNAJB3, IL7, SPTBN4, TRAT1, RASSF9, CTNNA3, FLT3, LRRIQ3, CCDC67, GC, TEKT5, UNC13C, ZNF396, GTSF1, GH2, TMPRSS11A, FAM65B, SLC6A4, TRAV7, CDHR5, EPGN, GUCY2F, KIF12, FPR2, CCL22, FAM124A, HEYL, KRT75, PTPN3, BMP8B, CYP26C1, TPD52L1, TMPRSS11F, UNC45B, MAGEA8, C1orf61, SAMSN1, GPR151, FAM153A, KCNV1, OR10G7, EFCAB1, DYDC1 and/or CD300LD.
  • 3. The method according to claim 2, wherein the age related disorder is selected from atherosclerosis, metabolic syndrome, protein metabolism, lipid metabolism and carcinogenesis.
  • 4. The method according to claim 1, wherein the composition comprises herbal material or extracts of plants belonging to a family selected from the group consisting of Crassulaceae, Araliaceae and Schisandraceae.
  • 5. The method according to claim 4, wherein the herbal material or extract is selected from the plants Sedum rosea, Schisandra chinensis and/or Eleutherococcus senticosus.
  • 6. The method according to claim 1, wherein the composition comprises pantothenic acid or a salt thereof.
  • 7. The method according to claim 1, wherein (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol is present in an amount of about 0.01 to about 2.0% w/w;wherein (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol and (2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol are present in an amount of about 0.005 to about 2.0% w/w;and wherein 5,6,7,8-Tetrahydro-1,2,3,10,11,12-hexamethoxy-6,7-dimethyldibenzo[a,c]cycloocten-6-ol, and 1,2,3,13-tetramethoxy-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[3′,4′]cycloocta [1′,2′:4,5]benzo[1,2-d][1,3]dioxole are present in an amount of about 0.01 to about 3.0% w/w.
  • 8. The method according to claim 6, wherein the pantothenic acid or a salt thereof is present in an amount of about 1 to 50% w/w.
  • 9. Composition comprising herbal material or extracts of plants belonging to the family of Crassulaceae, Araliaceae, and Schisandraceae wherein pantothenic acid or a salt thereof is present in the composition.
  • 10. A method for preparing a composition of extracts comprising the steps a) Extracting a plant material from the Crassulaceae, Araliaceae and/or Schisandraceae families by a hydro-alcoholic solvent at a temperature range 50° C. to 80° C. depending on length of extraction time and quality of the raw material.b) Separating the extraction solvent from each plant material.c) Evaporating alcohol to obtain spissum.d) Homogenizing each spissum which contains the combination of extracts.e) Determination of concentration of marker compound in each spissum.f) Mixing spissum and optionally pharmaceutically acceptable excipients in a ratio to achieve target amounts of marker compounds.g) Evaporating spissum to dryness.h) Determination of marker compounds in dry extract.g) Adjusting concentration of marker compounds in dry extract by pharmaceutically acceptable excipient to achieve a defined amount of marker compound for the respective extracts in relation to the final amount of the composition: wherein (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol is present in an amount of about 0.01 to about 2.0 m % w/w;wherein (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol and (2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol are present in an amount of about 0.005 to about 2.0% w/w; andwherein 5,6,7,8-Tetrahydro-1,2,3,10,11,12-hexamethoxy-6,7-dimethyldibenzo[a,c]cycloocten-6-ol and 1,2,3,13-tetramethoxy-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[3′,4′]cycloocta [1′,2′:4,5]benzo[1,2-d][1,3]dioxole are present in an amount of about 0.01 to about 3.0% w/w.
  • 11. The method according to claim 10, wherein the homogenization of the spissum is performed by stirring at elevated temperature.
  • 12. The method according to claim 1, wherein the composition is administered 2 times daily and the amount of 2 capsules each is applied.
  • 13. The method according to claim 1, wherein (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol is present in an amount of about 0.1 to about 0.5% w/w;wherein (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol and (2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol are present in an amount of about 0.01 to about 0.2% w/w;
  • 14. The method according to claim 6, wherein the pantothenic acid or a salt thereof is present in an amount of about 10 to 25% w/w.
  • 15. The method according to claim 10, wherein (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[2-(4-hydroxyphenyl)ethoxy]oxane-3,4,5-triol is present in an amount of about 0.05 to about 0.5% w/w;wherein (2R,3S,4S,5R,6S)-2-(hydroxymethyl)-6-[4-(3-hydroxyprop-1-enyl)-2,6-dimethoxyphenoxy]oxane-3,4,5-triol and (2R,3S,4R,5R,6S)-2-[4-[6-[3,5-dimethoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl] oxyphenyl]-1,3,3a,4,6,6a-hexahydrofuro[3,4-c]furan-3-yl]-2,6-dimethoxyphenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol are present in an amount of about 0.01 to about 0.2% w/w; andwherein 5,6,7,8-Tetrahydro-1,2,3,10,11,12-hexamethoxy-6,7-dimethyldibenzo[a,c]cycloocten-6-ol and 1,2,3,13-tetramethoxy-6,7-dimethyl-5,6,7,8-tetrahydrobenzo[3′,4′]cycloocta [1′,2′:4,5]benzo[1,2-d][1,3]dioxole are present in an amount of about 0.05 to about 0.5% w/w.
  • 16. The composition according to claim 9, wherein the pantothenic acid or a salt thereof is present in an amount of about 1 to 50% w/w.
  • 17. The composition according to claim 9, wherein the pantothenic acid or a salt thereof is present in an amount of about 10 to 25% w/w.
Priority Claims (1)
Number Date Country Kind
14184632.9 Sep 2014 EP regional
PCT Information
Filing Document Filing Date Country Kind
PCT/EP2015/070835 9/11/2015 WO 00