Genome-wide analysis correlates Ayurveda Prakriti
Open accessAbstract
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.
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Treatment with Tinospora cordifolia was found to reduce mortality comparable to that of a combination of metronidazole and gentamicin.
“Treatment with Tinospora cordifolia was found to reduce the mortality comparable to that of a combination of metronidazole and gentamicin.$^{1}$^{6}”
From Contemporary Conversations between Ayurveda and Biomedicine (2014) · cites this paper as [16]
The Results and Discussions passage concerns genetic associations among Prakriti groups, while the Methods passages describe genotyping and sequencing; page numbers are unavailable in our copy. Searches for Tinospora cordifolia, mortality, metronidazole, and gentamicin found no passage addressing the treatment comparison. (LLM, conf=0.76)
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- Authors
- Govindaraj, P., Nizamuddin, S., Sharath, A., Jyothi, V., Rotti, H., Raval, R., Nayak, J., Bhat, B. K., Prasanna, B. V., Shintre, P., Sule, M., Joshi, K. S., Dedge, A. P., Bharadwaj, R., Gangadharan, G. G., Nair, S., Gopinath, P. M., Patwardhan, B., Kondaiah, P., Satyamoorthy, K., Valiathan, M. V. S., & Thangaraj, K.
- Affiliations
- Centre for Cellular and Molecular Biology (IN)
- Manipal Academy of Higher Education (IN)
- Sri Dharmasthala Manjunatheshwara College of Ayurveda & Hospital Udupi (IN)
- Foundation for Revitalisation of Local Health Traditions (IN)
- Savitribai Phule Pune University (IN)
- Indian Institute of Science Bangalore (IN)
- ORCID
- Venue
- Scientific Reports
- Published
- 2015-10-29
- Volume
- 5
- Issue
- 1
- Pages
- 15786-15786
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC4625161
- OpenAlex
- W2176913036
- Cited by
- 172
- References
- 6
- Citations by year
- 2026: 25 · 2025: 22 · 2024: 15 · 2023: 20 · 2022: 19 · 2021: 19 · 2020: 16 · 2019: 8 · 2018: 5 · 2017: 7 · 2016: 14 · 2015: 1 · 2014: 1
- FWCI
- 17.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- NOT FOUND REPOSITORY (Indian Institute of Science Bangalore) (acceptedVersion)
- Greater South Information System
- Funders
- Department of Science and Technology, Ministry of Science and Technology, India
- Principal Scientific Adviser to the Government of India
- Topics
- Health Sciences › Medicine › Complementary and alternative medicine › Traditional Chinese Medicine Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Keywords
- Ayurveda, Prakriti, Vata dosha, Pitta, Kapha, single nucleotide polymorphisms, PGM1, Charaka Samhita, personalized medicine, genetic ancestry
- MeSH terms
- Female, Humans, Male, Medicine, Ayurvedic, Phosphoglucomutase, Polymorphism, Single Nucleotide, Genome-Wide Association Study
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