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- (2015) Volume 9, Issue 6

Modern Human Genetic Meets Traditional Medicine. New Opportunities?

Diego Di Lorenzo*

Laboratory of Molecular Diagnostics/Pharmacogenetics and Department of Diagnostics, Civic Hospital of Brescia, 25123 Brescia, Italy

*Corresponding Author:

Diego Di Lorenzo
Laboratory of Molecular Diagnostics/ Pharmacogenetics and Department of Diagnostics
Civic Hospital of Brescia, 25123 Brescia, Italy
Tel: 0039 030 3996805
Fax: 0039 030 3995095
E-mail: diego.dilorenzo@yahoo.it

Received Date: August 12, 2015; Accepted Date: September 10, 2015; Published Date: September 30, 2015

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It is an interesting time when modern science may validate aspects of ancient approaches to health care. Nowadays, this might be the case for Ayurveda, the most ancient system of medicine (dated 3500 B.C.) [1]. Originally from India, it is widely practiced in that country and is rapidly spreading all over the world as a natural system for health care.

Ayurveda has one of its main foundations in the universal concept of prakriti (“nature”), that represents, in regards to the human being, its psycho-physical constitution, more finely subdefined by the tridosha theory into the three doshas Vata, Pitta and Kapha. Each of these doshas represents a different aspect of an individual’s constitution, physiological functions and organic regulations that remain somewhat permanent during human lifetime. Recent evidence has emerged connecting the concepts of the prakriti with genotypes, metabolic pathways and their association with physiological functions and disease predisposition. It has thus been proposed that this birth constitution is programmed in the person’s DNA.

The modern acceptance of the DNA-based concepts of personalized medicine and disease predisposition as main issues for future developments in the science of health, appears to have convenient links with the concept of prakriti: distinct phenotypes (prakriti) on the bases of distinct genotypes (genetics). The recent availability of the omics-technologies amped up research into these concepts and highlighted elements of possible shared utility between modern medicine and Ayurveda. The application of systems biology tools to the study of prakritis representing certain genotypes, seems to reveal differences at the level of the expression of genes known to play roles in disease predisposition and progression such as hub genes and genes enriched in core biological processes like transport, regulation of protein kinases activity and immune response [2]. At genetic level a couple of pioneering works showed that analysis of individuals phenotypised using a Prakriti-based approach, could uncover genetic variations that are associated with adaptation to external environment [3] and susceptibility to diseases [4].

Beyond hypothesizing that such discoveries propose new integrated approaches to a more personalised health care, in clinical research a novel combinatorial “ayur-genomics” approach seems to offer quite convenient opportunities to capture variability among individuals. This might be important to overcome sample/ clinical heterogeneity, which is undoubtedly a major limitation in the identification of genetic determinants underlying common complex traits. In conclusion, this groundbraking approach shows all the elements to encourage deeper studies into the adoption of the prakriti concept for an optimised design of costly clinical trials aimed at unravelling constitution-disease predisposition correlates and intervention strategies.

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References

  1. Sharma P(2003) Charaka Samhita.(With English translation) Chaukamba Orientalia, Varanasi; (7eds) ? (4 volumes).
  2. Prasher B, Negi S, Aggarwal S, Mandal AK, Sethi TP, et al. (2008) Whole genome expression and biochemical correlates of extreme constitutional types defined in Ayurveda. J Transl Med 6:48.
  3. Aggarwal S, Negi S, Jha P, Singh PK, Stobdan T, Pasha MAQ, et al. (2010) EGLN1 involvement in high-altitude adaptation revealed through genetic analysis of extreme constitution types defined in Ayurveda. Proc Natl Acad Sci 107:18961-18966.
  4. Juyal RC, Negi S, Wakhode P, Bhat S, Bhat B, et al. (2012) Potential of ayurgenomics approach in complex trait research: leads from a pilot study on rheumatoid arthritis. PLoS One 7: e45752.