Title

Ayurgenomics for stratified medicine: TRISUTRA consortium initiative across ethnically and geographically diverse Indian populations

Authors

Bhavana Prasher, Institute of Genomics and Integrative Biology India
Binuja Varma, Institute of Genomics and Integrative Biology India
Arvind Kumar, Institute of Genomics and Integrative Biology India
Bharat Krushna Khuntia, Institute of Genomics and Integrative Biology India
Rajesh Pandey, Institute of Genomics and Integrative Biology India
Ankita Narang, Institute of Genomics and Integrative Biology India
Pradeep Tiwari, Institute of Genomics and Integrative Biology India
Rintu Kutum, Institute of Genomics and Integrative Biology India
Debleena Guin, Institute of Genomics and Integrative Biology India
Ritushree Kukreti, Institute of Genomics and Integrative Biology India
Debasis Dash, Institute of Genomics and Integrative Biology India
Mitali Mukerji, Institute of Genomics and Integrative Biology India
S. Aggarwal, Institute of Genomics and Integrative Biology India
V. Natarajan, Institute of Genomics and Integrative Biology India
S. Salvi, Chest Research Foundation
P. Aatreya, Institute of Genomics and Integrative Biology India
S. Unni, Institute of Genomics and Integrative Biology India
N. Mishra, Institute of Genomics and Integrative Biology India
N. Mudgal, Institute of Genomics and Integrative Biology India
P. B. Dutta, Institute of Genomics and Integrative Biology India
R. Rani, Institute of Genomics and Integrative Biology India
S. Choudhury, Institute of Genomics and Integrative Biology India
V. Gupta, Institute of Genomics and Integrative Biology India
S. Sahni, Institute of Genomics and Integrative Biology India
B. Ghirase, KEM Hospital
B. S. Prasad, K.L.E. Academy of Higher Education & Research
S. Harti, K.L.E. Academy of Higher Education & Research
G. Vedantam, K.L.E. Academy of Higher Education & Research
A. Mulla, K.L.E. Academy of Higher Education & Research
V. Parvatikar, K.L.E. Academy of Higher Education & Research
T. K. Biswas, Medical College and Hospital Kolkata
S. Choudhary, Medical College and Hospital Kolkata
S. Pandit, Medical College and Hospital Kolkata

Article Type

Research Article

Publication Title

Journal of Ethnopharmacology

Abstract

Background Genetic differences in the target proteins, metabolizing enzymes and transporters that contribute to inter-individual differences in drug response are not integrated in contemporary drug development programs. Ayurveda, that has propelled many drug discovery programs albeit for the search of new chemical entities incorporates inter-individual variability “Prakriti” in development and administration of drug in an individualized manner. Prakriti of an individual largely determines responsiveness to external environment including drugs as well as susceptibility to diseases. Prakriti has also been shown to have molecular and genomic correlates. We highlight how integration of Prakriti concepts can augment the efficiency of drug discovery and development programs through a unique initiative of Ayurgenomics TRISUTRA consortium. Methods Five aspects that have been carried out are (1) analysis of variability in FDA approved pharmacogenomics genes/SNPs in exomes of 72 healthy individuals including predominant Prakriti types and matched controls from a North Indian Indo-European cohort (2) establishment of a consortium network and development of five genetically homogeneous cohorts from diverse ethnic and geo-climatic background (3) identification of parameters and development of uniform standard protocols for objective assessment of Prakriti types (4) development of protocols for Prakriti evaluation and its application in more than 7500 individuals in the five cohorts (5) Development of data and sample repository and integrative omics pipelines for identification of genomic correlates. Results Highlight of the study are (1) Exome sequencing revealed significant differences between Prakriti types in 28 SNPs of 11 FDA approved genes of pharmacogenomics relevance viz. CYP2C19, CYP2B6, ESR1, F2, PGR, HLA-B, HLA-DQA1, HLA-DRB1, LDLR, CFTR, CPS1. These variations are polymorphic in diverse Indian and world populations included in 1000 genomes project. (2) Based on the phenotypic attributes of Prakriti we identified anthropometry for anatomical features, biophysical parameters for skin types, HRV for autonomic function tests, spirometry for vital capacity and gustometry for taste thresholds as objective parameters. (3) Comparison of Prakriti phenotypes across different ethnic, age and gender groups led to identification of invariant features as well as some that require weighted considerations across the cohorts. Conclusion Considering the molecular and genomics differences underlying Prakriti and relevance in disease pharmacogenomics studies, this novel integrative platform would help in identification of differently susceptible and drug responsive population. Additionally, integrated analysis of phenomic and genomic variations would not only allow identification of clinical and genomic markers of Prakriti for application in personalized medicine but also its integration in drug discovery and development programs.

First Page

274

Last Page

293

DOI

10.1016/j.jep.2016.07.063

Publication Date

2-2-2017

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