ArticleEvidence-based complementary and alternative medicine : eCAM2011
Traditional Medicine to Modern Pharmacogenomics: Ayurveda Prakriti Type and CYP2C19 Gene Polymorphism Associated with the Metabolic Variability.
Article in Evidence-based complementary and alternative medicine : eCAM, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
- Reliability of Ayurvedic Diagnosis for Knee Osteoarthritis Patients: A Nested Diagnostic Study Within a Randomized Controlled Trial.Journal of alternative and complementary medicine (New York, N.Y.) · 2019Trial
- Trial
- Predicting susceptibility to inflammaging using a genetic inflammatory index through Prakriti-based phenotypic stratification.Frontiers in immunology · 2026Article
- The Brief Prakriti Inventory: Latent structure, reliability, and validity.Wellcome open research · 2025Article
- Prakriti (constitutional typology) in Ayurveda: a critical review of Prakriti assessment tools and their scientific validity.Frontiers in medicine · 2025Review
- The Dawn till Dusk of phytopharmaceuticals.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Review
- Pharmacokinetics of Siddha Antidiabetic Polyherbal Formulation Madhumega Chooranam in Healthy Volunteers.Cureus · 2024Article
- Comprehensive chemo-profiling of coumarins enriched extract derived fromSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023Article
- Ayurgenomics-based frameworks in precision and integrative medicine: Translational opportunities.Cambridge prisms. Precision medicine · 2023Review
- An Ayurgenomics Approach: Prakriti-Based Drug Discovery and Development for Personalized Care.Frontiers in pharmacology · 2022Review
- Ayurgenomics and Modern Medicine.Medicina (Kaunas, Lithuania) · 2020Review
- Comparative gut microbiome analysis of the3 Biotech · 2020Article
- A future perspective for regenerative medicine: understanding the concept of vibrational medicine.Future science OA · 2018Review
- Effect of yoga training on lipid metabolism in industrial workers with reference to body constitution (Journal of traditional and complementary medicine · 2017Article
- The Immunomodulatory Effects of Plant Extracts and Plant Secondary Metabolites on Chronic Neuroinflammation and Cognitive Aging: A Mechanistic and Empirical Review.Frontiers in pharmacology · 2017Review
- Prakriti-based research: Good reporting practices.Journal of Ayurveda and integrative medicine · 2016Article
- Exploring Ayurvedic Knowledge on Food and Health for Providing Innovative Solutions to Contemporary Healthcare.Frontiers in public health · 2016Review
- Genome-wide analysis correlates Ayurveda Prakriti.Scientific reports · 2015Article
- Ayurnutrigenomics: Ayurveda-inspired personalized nutrition from inception to evidence.Journal of traditional and complementary medicine · 2015Review
- DNA methylation analysis of phenotype specific stratified Indian population.Journal of translational medicine · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Indian medicine-Ayurveda-classifies the human population into three major constituents or Prakriti known as Vata, Pitta and Kapha types. Earlier, we have demonstrated a proof of concept to support genetic basis for Prakriti. The descriptions in Ayurveda indicate that individuals with Pitta Prakriti are fast metabolizers while those of Kapha Prakriti are slow metabolizers. We hypothesized that different Prakriti may have different drug metabolism rates associated with drug metabolizing enzyme (DME) polymorphism. We did CYP2C19 (Phase I DME) genotyping in 132 unrelated healthy subjects of either sex by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. We observed significant association between CYP2C19 genotype and major classes of Prakriti types. The extensive metabolizer (EM) genotype (∗1/∗1, ∗1/∗2, ∗1/∗3) was found to be predominant in Pitta Prakriti (91%). Genotype (∗1/∗3) specific for EM group was present only in Pitta Prakriti. Poor metabolizer (PM) genotype (∗2/∗2, ∗2/∗3, ∗3/∗3) was highest (31%) in Kapha Prakriti when compared with Vata (12%) and Pitta Prakriti (9%). Genotype (∗2/∗3) which is typical for PM group was significant in Kapha Prakriti (odds ratio = 3.5, P = .008). We observed interesting correlations between CYP2C19 genotypes and Prakriti with fast and slow metabolism being one of the major distinguishing and differentiating characteristics. These observations are likely to have significant impact on phenotype-genotype correlation, drug discovery, pharmacogenomics and personalized medicine.
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Registered trials
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