“Genome-wide analysis correlates Ayurveda Prakriti” – Excerpt

Excerpts from a fascinating study published recently in Nature, “Genome-wide analysis correlates Ayurveda Prakriti, 29th Oct ’15:

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.….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.

Introduction
Among the traditional systems of medicine practiced all over the world, Ayurveda of India has a documented history dating back to 1500 BCE1,2.

…The basic concepts of Ayurveda are; 1. five elements – panchabhuta – which constitute the physical universe including the human body and; 2. three doshas (Vata, Pitta and Kapha) or constitutional types of every human. These doshas refer broadly to the functions of motion, digestion and cumulation. Though all three doshas exist in every human being one is dominant based on which an individual’s Prakriti is determined. Prakritis are discreet phenotypes and they are determined on the basis of physical, psychological, physiological and behavioural traits, and independent of social, ethnic and geographical variables1,3,4. The etymology of these Sanskrit terms suggests that Vata originates from movement, Pitta from digestion and Kapha from cumulation. Since Prakritis underlie an individual’s predisposition to disease as well as response to treatment, it is imperative in Ayurvedic practice to identify the Prakriti of a patient before treatment5.

Concept of Prakriti in Ayurveda and its relationship with genomics was hypothesized over a decade ago6. … While these studies have shown the association of specific genes with the phenotype of a particular Prakriti, the association of genomic variations with Prakriti classification was lacking. This is the first attempt to classify the Prakritis using genome-wide SNP markers and to provide a scientific basis for Prakriti classification.

Thanks to my friend Sanjay for alerting me to this research study

B Shantanu

Political Activist, Blogger, Advisor to start-ups, Seed investor. One time VC and ex-Diplomat. Failed mushroom farmer; ex Radio Jockey. Currently involved in Reclaiming India - One Step at a Time.

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1 Response

  1. B Shantanu says:

    There is something to be said for the old tradition of ‘Shat-Pavali’ (100 steps in MarathI) that should be taken after a meal!
    See Just 2 Minutes of Walking After a Meal Is Surprisingly Good for You By Rachel Fairbank writing in the NYT, Aug. 4, 2022 from which:
    …Scientists have also found that going for a 15-minute walk after a meal can reduce blood sugar levels, which can help ward off complications such as Type 2 diabetes. But, as it turns out, even just a few minutes of walking can activate these benefits.

    In a meta-analysis, recently published in the journal Sports Medicine, researchers looked at the results of seven studies that compared the effects of sitting versus standing or walking on measures of heart health, including insulin and blood sugar levels. They found that light walking after a meal, in increments of as little as two to five minutes, had a significant impact in moderating blood sugar levels.
    ….
    All seven studies showed that just a few minutes of light-intensity walking after a meal were enough to significantly improve blood sugar levels compared to, say, sitting at a desk or plopping down on the couch. When participants went for a short walk, their blood sugar levels rose and fell more gradually.

    For people with diabetes, avoiding sharp fluctuations in blood sugar levels is a critical component in managing their illness. It’s also thought that sharp spikes and crashes in blood sugar levels can contribute to developing Type 2 diabetes.