DNA methylation analysis of phenotype specific stratified Indian population.

BACKGROUND: DNA methylation and its perturbations are an established attribute to a wide spectrum of phenotypic variations and disease conditions. Indian traditional system practices personalized medicine through indigenous concept of distinctly descriptive physiological, psychological and anatomical features known as prakriti. Here we attempted to establish DNA methylation differences in these three prakriti phenotypes. METHODS: Following structured and objective measurement of 3416 subjects, whole blood DNA of 147 healthy male individuals belonging to defined prakriti (Vata, Pitta and Kapha) between the age group of 20-30years were subjected to methylated DNA immunoprecipitation (MeDIP) and microarray analysis. After data analysis, prakriti specific signatures were validated through bisulfite DNA sequencing. RESULTS: Differentially methylated regions in CpG islands and shores were significantly enriched in promoters/UTRs and gene body regions. Phenotypes characterized by higher metabolism (Pitta prakriti) in individuals showed distinct promoter (34) and gene body methylation (204), followed by Vata prakriti which correlates to motion showed DNA methylation in 52 promoters and 139 CpG islands and finally individuals with structural attributes (Kapha prakriti) with 23 and 19 promoters and CpG islands respectively. Bisulfite DNA sequencing of prakriti specific multiple CpG sites in promoters and 5'-UTR such as; LHX1 (Vata prakriti), SOX11 (Pitta prakriti) and CDH22 (Kapha prakriti) were validated. Kapha prakriti specific CDH22 5'-UTR CpG methylation was also found to be associated with higher body mass index (BMI). CONCLUSION: Differential DNA methylation signatures in three distinct prakriti phenotypes demonstrate the epigenetic basis of Indian traditional human classification which may have relevance to personalized medicine.

Genome-wide DNA methylation profiling after Ayurveda intervention to bronchial asthmatics identifies differential methylation in several transcription factors with immune process related function.

BACKGROUND: The Indian traditional medicinal system, Ayurveda, describes several lifestyle practices, processes and medicines as an intervention to treat asthma. Rasayana therapy is one of them and although these treatment modules show improvement in bronchial asthma, their mechanism of action, particularly the effect on DNA methylation, is largely understudied. OBJECTIVES: Our study aimed at identifying the contribution of DNA methylation changes in modulating bronchial asthma phenotype upon Ayurveda intervention. MATERIALS AND METHODS: In this study, genome-wide methylation profiling in peripheral blood DNA of healthy controls and bronchial asthmatics before (BT) and after (AT) Ayurveda treatment was performed using array-based profiling of reference-independent methylation status (aPRIMES) coupled to microarray technique. RESULTS: We identified 4820 treatment-associated DNA methylation signatures (TADS) and 11,643 asthma-associated DNA methylation signatures (AADS), differentially methylated [FDR (≤0.1) adjusted p-values] in AT and HC groups respectively, compared to BT group. Neurotrophin TRK receptor signaling pathway was significantly enriched for differentially methylated genes in bronchial asthmatics, compared to AT and HC subjects. Additionally, we identified over 100 differentially methylated immune-related genes located in the promoter/5'-UTR regions of TADS and AADS. Various immediate-early response and immune regulatory genes with functions such as transcription factor activity (FOXD1, FOXD2, GATA6, HOXA3, HOXA5, MZF1, NFATC1, NKX2-2, NKX2-3, RUNX1, KLF11), G-protein coupled receptor activity (CXCR4, PTGER4), G-protein coupled receptor binding (UCN), DNA binding (JARID2, EBF2, SOX9), SNARE binding (CAPN10), transmembrane signaling receptor activity (GP1BB), integrin binding (ITGA6), calcium ion binding (PCDHGA12), actin binding (TRPM7, PANX1, TPM1), receptor tyrosine kinase binding (PIK3R2), receptor activity (GDNF), histone methyltransferase activity (MLL5), and catalytic activity (TSTA3) were found to show consistent methylation status between AT and HC group in microarray data. CONCLUSIONS: Our study reports the DNA methylation-regulated genes in bronchial asthmatics showing improvement in symptoms after Ayurveda intervention. DNA methylation regulation in the identified genes and pathways represents the Ayurveda intervention responsive genes and may be further explored as diagnostic, prognostic, and therapeutic biomarkers for bronchial asthma in peripheral blood.

Dosha phenotype specific Ayurveda intervention ameliorates asthma symptoms through cytokine modulations: Results of whole system clinical trial.

ETHNOPHARMACOLOGICAL RELEVANCE: Over the past few decades, there have been significant scientific advances leading to improved understanding of asthma as a disease and treatment providing immediate relief. However, prevention of recurrent attacks, exacerbations and disease cure remains a challenge. Ayurveda refers to bronchial asthma as Tamaka Swasa and it is well explained in Charaka Samhita. Management of asthma in Ayurveda includes removal of vitiated Kapha through Shodhana, Shamana procedures, herbal and herbomineral formulations in addition to advising a healthy lifestyle and diet. Several clinical trials on Ayurvedic formulations for treatment of asthma are reported, however, whole system management of asthma has rarely been studied in the manner in which it is actually being practiced. Ayurveda therapeutics provides Dosha specific approaches, which needs biological investigation. AIM OF THE STUDY: The objective of our study was to investigate lung functions and cytokine changes in Asthmatic individuals in response to Ayurvedic intervention. METHODS: The study design was approved by the Institutional Ethics Committee of Tilak Ayurveda Mahavidyalaya (TAMV) & Sheth Tarachand Ramnath Charitable Ayurveda Hospital and followed guidelines of the Declaration of Helsinki and Tokyo for humans. It was conducted as a whole system individualized pragmatic clinical trial and written consent of patients was collected before enrollment. One hundred and fifteen patients with mild-to-moderate asthma were divided into 2 sub-groups depending on their disease subsets and administered phenotype specific ayurvedic interventions. Seventy six asthma patients completed the treatment. Serum IgE levels, blood eosinophil counts, spirometry and blood cytokine levels were measured before the start of treatment and six months at the end of treatment. Age and sex matched healthy participants (n=69) were recruited in the study for comparison of cytokines levels. RESULTS: Significant improvements in FEV1(% predicted) (p<0.0001) and FVC (% predicted) (p=0.0001) was observed in asthmatic patients who underwent Ayurvedic treatment. Circulating levels of IgE (p<0.03) and eosinophil numbers (p=0.001) reduced significantly in the asthmatics after Ayurvedic treatment. This was associated with significant reduction in levels of circulating cytokines. Levels of Th2, Th1 and inflammatory cytokines in the peripheral blood were higher than healthy control participants at baseline (p values <0.0001) and reduced significantly after ayurvedic intervention. CONCLUSION: This proof of concept study highlights the potential benefits and possible mechanism of Ayurvedic interventions in patients with mild-to-moderate asthma. The interventions significantly reduced IgE and eosinophil count, also improved lung function and reduced levels of circulating Th2 cytokines.

Genome-wide analysis correlates Ayurveda Prakriti.

The practice of Ayurveda, the traditional medicine of India, is based on the concept of three major constitutional types (Vata, Pitta and Kapha) defined as "Prakriti". To the best of our knowledge, no study has convincingly correlated genomic variations with the classification of Prakriti. In the present study, we performed genome-wide SNP (single nucleotide polymorphism) analysis (Affymetrix, 6.0) of 262 well-classified male individuals (after screening 3416 subjects) belonging to three Prakritis. We found 52 SNPs (p ≤ 1 × 10(-5)) were significantly different between Prakritis, without any confounding effect of stratification, after 10(6) permutations. Principal component analysis (PCA) of these SNPs classified 262 individuals into their respective groups (Vata, Pitta and Kapha) irrespective of their ancestry, which represent its power in categorization. We further validated our finding with 297 Indian population samples with known ancestry. Subsequently, we found that PGM1 correlates with phenotype of Pitta as described in the ancient text of Caraka Samhita, suggesting that the phenotypic classification of India's traditional medicine has a genetic basis; and its Prakriti-based practice in vogue for many centuries resonates with personalized medicine.

Determinants of prakriti, the human constitution types of Indian traditional medicine and its correlation with contemporary science.

BACKGROUND: Constitutional type of an individual or prakriti is the basic clinical denominator in Ayurveda, which defines physical, physiological, and psychological traits of an individual and is the template for individualized diet, lifestyle counseling, and treatment. The large number of phenotype description by prakriti determination is based on the knowledge and experience of the assessor, and hence subject to inherent variations and interpretations. OBJECTIVE: In this study we have attempted to relate dominant prakriti attribute to body mass index (BMI) of individuals by assessing an acceptable tool to provide the quantitative measure to the currently qualitative ayurvedic prakriti determination. MATERIALS AND METHODS: The study is cross sectional, multicentered, and prakriti assessment of a total of 3416 subjects was undertaken. Healthy male, nonsmoking, nonalcoholic volunteers between the age group of 20-30 were screened for their prakriti after obtaining written consent to participate in the study. The prakriti was determined on the phenotype description of ayurvedic texts and simultaneously by the use of a computer-aided prakriti assessment tool. Kappa statistical analysis was employed to validate the prakriti assessment and Chi-square, Cramer's V test to determine the relatedness in the dominant prakriti to various attributes. RESULTS: We found 80% concordance between ayurvedic physician and software in predicting the prakriti of an individual. The kappa value of 0.77 showed moderate agreement in prakriti assessment. We observed a significant correlations of dominant prakriti to place of birth and BMI with Chi-square, P < 0.01 (Cramer's V-value of 0.156 and 0.368, respectively). CONCLUSION: The present study attempts to integrate knowledge of traditional ayurvedic concepts with the contemporary science. We have demonstrated analysis of prakriti classification and its association with BMI and place of birth with the implications to one of the ways for human classification.