Discover Your Ayurgenomic Constitution (Prakriti)
Bridging 5,000-year-old Ayurvedic clinical phenotyping with high-throughput genomic sequencing, metabolic pathways, and precision medicine. Assess your unique constitutional profile (*Tridosha*), receive customized dietary/lifestyle protocols, and explore the landmark molecular research validating it.
Understanding VPK: Systems Biology in Ayurveda
Ayurvedic medicine categorizes human physiological variability into three primary constitutional forces called Doshas: Vata, Pitta, and Kapha. Your baseline combination at birth forms your Prakriti, an invariant genomic fingerprint that influences tissue metabolism, immunological responses, and disease vulnerabilities.
Movement, Signal Transduction & Neurogenesis
Governs bodily movements, impulse propagation, cell cycle arrest, and respiratory mechanics. Characterized by light, cold, dry, and swift properties.
Metabolism, Energy Flux & Inflammation
Controls enzymatic transformations, thermoregulation, digestion (*Agni*), and cellular respiration. Characterized by hot, sharp, and intense properties.
Structure, Anabolism & Fluid Homeostasis
Maintains musculoskeletal integrity, cellular lubrication, tissue mass, and immunity. Characterized by heavy, slow, stable, and smooth properties.
Interactive Prakriti Assessment Simulation
Complete this 15-parameter phenotypic assessment based on the standardized double-blind clinical criteria published by Prasher et al. Select the option that best reflects your lifetime baseline traits.
Custom Dietary & Lifestyle Protocol (Ahara & Vihara)
Your Personalized Biological & Genomic Correlates
Prasher et al. (2008) Deep Study Analysis
For clinicians, geneticists, and researchers seeking to inspect the empirical molecular foundation: explore the full assay architecture, biochemical markers, microarray gene expression datasets, and post-2008 findings.
Clinical Phenotype Matrix & Tri-Dosha Biological Foundations
Multi-Layer Screening Architecture & Cohort Selection
Initial Clinical Screening
Screened by 2 independent Ayurvedic clinicians (ages 18-40).
Genetic Homogeneity
Clustered against 24 reference populations via SNP arrays.
Double-Blind Verification
Swapped candidates between clinicians + software scoring.
Assay Execution
33 biochemical parameters, cDNA 19Kv8 arrays & qPCR.
Empirical Biochemical & Hematological Profiling
33 biochemical markers were measured across healthy subjects. Statistically significant variations ($p \le 0.05$) emerged between phenotypes despite all values staying within healthy clinical reference ranges.
Transcriptomic Architecture & Validated Gene Loci
Microarray analysis identified 159 DEGs in males and 92 in females. 53 core biological hub genes were uncovered, with 31% overlapping known complex disease susceptibility loci (OMIM/GAD).
Post-2008 Breakthroughs & High-Altitude Genomics
EGLN1 & High-Altitude Hypoxia Susceptibility
The EGLN1 gene targets $HIF-1\alpha$ for degradation. The $TT$ genotype—causing baseline overexpression and altitude maladaptation—is significantly overrepresented in Kapha individuals and absent in native high-altitude Sherpas.
PGM1 & Metabolic Energy Flux (Agni)
PGM1 regulates glucose-1-phosphate to glucose-6-phosphate conversion. The missense variant rs11208257 exhibits high allele frequency polarization in Pitta cohorts.
Methodological Critique & Strategic Roadmap
Study Limitations (2008 Paper)
- Cohort Size ($N=96$): Ideal for extreme phenotyping, but underpowered for subtle polygenic networks.
- cDNA Sample Pooling: Pooling RNA (5 samples/pool) reduced biological noise but masked individual variances.
- Sexual Dimorphism: Strong hormonal confounding (159 male DEGs vs 92 female DEGs with only 5 overlapping genes).
Future Precision Health Horizon
- AI Digital Phenotyping: Combining questionnaire scoring with wearable sensor pulse analysis (*Nadi Pariksha*).
- Single-Cell Multi-Omics: Mapping real-time transcriptomic shifts across gut microbiome dynamics.
- Stratified Clinical Trials: Stratifying patient arms by *Prakriti* to optimize drug efficacy and prevent adverse reactions.