Ayurgenomics in Kayachikitsa: Integrating Molecular Genetics and Clinical Genomics for Precision Ayurveda and Personalised Internal Medicine
Keywords:
Ayurgenomics, Kayachikitsa, Prakriti, molecular genetics, clinical genomics, precision Ayurveda, EGLN1, personalized medicine, Trisutra, pharmacogenomicsAbstract
Background: Ayurveda, the ancient Indian system of medicine, emphasizes individual uniqueness through Prakriti stratification (Vata, Pitta, Kapha). Modern medicine is transitioning toward personalized genomics but lacks methods to stratify inter-individual differences in ethnically matched populations.
Objective: To explore Ayurgenomics—a novel integrative framework combining Ayurvedic Prakriti with molecular and clinical genomics—for precision Ayurveda in Kayachikitsa (internal medicine).
Methods: Genome-wide SNP analysis of 262 well-classified individuals across three Prakriti types; exome sequencing of 72 healthy participants; machine learning-based phenotypic trait analysis; and molecular phenotyping (biochemical, haematological, gene expression profiling).
Results: Fifty-two SNPs significantly differentiated Prakriti types (p ≤ 1×10−5). Principal component analysis classified individuals irrespective of ancestry. The oxygen sensor gene EGLN1 emerged as a hub gene linking Dosha Prakriti to high-altitude adaptation and asthma severity. Twenty-eight SNPs from 11 FDA-approved pharmacogenomic genes (e.g., CYP2C19, CYP2C9, CFTR) showed significant differences between Prakriti types.
Conclusion: Ayurgenomics provides a molecular framework for integrating genomics with Ayurvedic principles, enabling predictive, preventive, and personalized internal medicine in Kayachikitsa.
