Ayurvedic Personalized Healthcare: Integrating Genomics, Epigenomics and Traditional Wisdom

Lakshmi Priya R; Devi S. Nair

doi:10.21760/jaims.9.11.27

Lakshmi Priya R Second Professional BAMS, Ayurveda College Coimbatore, Tamil Nadu, India.
Devi S. Nair Associate Professor & HOD, Dept. of Roga Nidana, Ayurveda College Coimbatore, Tamil Nadu, India.

DOI: https://doi.org/10.21760/jaims.9.11.27

Keywords: Ayurveda, Personalized healthcare, Genomics, Epigenomics, SNP Analysis, GWAS

Abstract

In the evolving landscape of personalized medicine, integrating Ayurvedic principles with modern genomic science presents a transformative opportunity for healthcare. This paper explores the concept of Prakriti, the unique constitution of individuals as defined in Ayurveda, and its potential correlation with genetic profiles. By merging Ayurvedic insights with genomic and epigenomic research, we propose a framework for personalized healthcare that considers both genetic predispositions and lifestyle factors. The study outlines practical approaches, including the use of Single Nucleotide Polymorphism (SNP) analysis to identify genetic variations linked to specific Prakriti types, and the role of epigenetics in understanding how lifestyle choices influence gene expression. Additionally, we discuss the implementation of Genome-Wide Association Studies (GWAS) to identify biomarkers that can enhance disease prevention and treatment strategies tailored to individual needs. By fostering collaboration between Ayurvedic practitioners and genomic researchers, we aim to promote a holistic understanding of health that bridges ancient wisdom with contemporary science. Ultimately, this integration not only enriches personalized healthcare but also paves the way for innovative treatment solutions that honor both genetic diversity and traditional knowledge.

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References

Personalized Medicine Coalition. "What is Personalized Medicine?" 2020.

Chatterjee B, Pancholi J. Prakriti-based medicine: A step towards personalized medicine. Ayu. 2011 Apr;32(2):141-6. doi: 10.41;03/0974-8520.92539. PMID: 22408293; PMCID: PMC3296331.

Understanding personality from Ayurvedic perspective for psychological assessment A case Shilpa, S1; Venkatesha Murthy, C. G.2 AYU (An International Quarterly Journal of Research in Ayurveda) 32(1):p 12-19, Jan–Mar 2011.

PRASHER, B., GIBSON, G. & MUKERJI, M. Genomic insights into ayurvedic and western approaches to personalized medicine. J Genet 95, 209–228 (2016).

Haider M, Dholakia D, Panwar A, Garg P, Gheware A, Singh D, Singhal K, Burse SA, Kumari S, Sharma A, Ray A, Medigeshi GR, Sharma U, Prasher B, Mukerji M. Transcriptome analysis and connectivity mapping of Cissampelos pareira L. provides molecular links of ESR1 modulation to viral inhibition. Sci Rep. 2021 Oct 11;11(1):20095.

Aggarwal S, Negi S, Jha P, Singh PK, Stobdan T, Pasha MA, Ghosh S, Agrawal A; Indian Genome Variation Consortium; Prasher B, Mukerji M. EGLN1 involvement in high-altitude adaptation revealed through genetic analysis of extreme constitution types defined in Ayurveda. Proc Natl Acad Sci U S A. 2010 Nov 2;107(44):18961-6. doi: 10.1073/pnas.1006108107. Epub 2010 Oct 18.

Sethi T. P., Prasher B., Mukerji M. (2011). Ayurgenomics: A New Way of Threading Molecular Variability for Stratified Medicine. ACS Chem. Biol. 6, 875–880. 10.1021/cb2003016

Chatterjee B., Pancholi J. (2011). Prakriti-based Medicine: A Step towards Personalized Medicine. Ayu 32, 141–146. 10.4103/0974-8520.92539

Hawkins R. D., Hon G. C., Ren B. (2010). Next-generation Genomics: an Integrative Approach. Nat. Rev. Genet. 11, 476–486. 10.1038/nrg2795

Al Aboud NM, Tupper C, Jialal I. Genetics, Epigenetic Mechanism. [Updated 2023 Aug 14]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-.

Sharma H., Keith Wallace R. (2020). Ayurveda and Epigenetics. Med. 10.3390/medicina56120687

Chatterjee B., Pancholi J. (2011). Prakriti-based Medicine: A Step towards Personalized Medicine. Ayu 32, 141–146. 10.4103/0974-8520.92539

Ram T. S., Munikumar M., Raju V. N., Devaraj P., Boiroju N. K., Hemalatha R., et al. (2022). In Silico evaluation of the Compounds of the Ayurvedic Drug, AYUSH-64, for the Action against the SARS-CoV-2 Main Protease. J. Ayurveda Integr. Med. 13, 100413. 10.1016/j.jaim.2021.02.004

Rotti H., Mallya S., Kabekkodu S. P., Chakrabarty S., Bhale S., Bharadwaj R., et al. (2015). DNA Methylation Analysis of Phenotype Specific Stratified Indian Population. J. Transl Med. 13, 151. 10.1186/s12967-015-0506-0

Govindaraj P., Nizamuddin S., Sharath A., Jyothi V., Rotti H., Raval R., et al. (2015). Genome-wide Analysis Correlates Ayurveda Prakriti. Sci. Rep. 5, 15786. 10.1038/srep15786

Prasher B., Negi S., Aggarwal S., Mandal A. K., Sethi T. P., Deshmukh S. R., et al. (2008). Whole Genome Expression and Biochemical Correlates of Extreme Constitutional Types Defined in Ayurveda. J. Transl Med. 6, 48. 10.1186/1479-5876-6-48.