Tridosha vs Enterotypes of the human gut microbiome

Marut

Ayurveda, GUT, Microbes, Tridosha

Gut Microbes

An enterotype is a classification of living organisms based on its bacteriological ecosystem in the gut microbiome. So far, scientists identified three robust clusters (enterotypes hereafter) that are not nation or continent-specific (In 2011). They confirmed the enterotypes also in two published, larger cohorts suggesting that intestinal microbiota variation is generally stratified, not continuous. Bacteroides (enterotype 1), Prevotella (enterotype 2) and Ruminococcus (enterotype 3).[1]

In Ayurveda, our Prakriti is important for treatment. Each individual has different Prakriti. Kapha Prakriti, Pitta Prakriti, Vata Prakriti and mix.

3 clusters of microbiome. 3 Types of human nature (Physical Prakriti/Constitution/Mental Constitution)

No wonder, soon we will see missing link.

Points to note here:

1) Gut bacteria are related to your nature/Prakriti/Constitution
2) Gut bacteria changes with age and so your prakriti also change(Children – Kapha, Adult – Pitta, Old age – Vata)

Interesting time ahead


Research


 

[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3728647/

Enterotypes of the human gut microbiome

Abstract

Our knowledge on species and function composition of the human gut microbiome is rapidly increasing, but it is still based on very few cohorts and little is known about their variation across the world. Combining 22 newly sequenced fecal metagenomes of individuals from 4 countries with previously published datasets, we identified three robust clusters (enterotypes hereafter) that are not nation or continent-specific. We confirmed the enterotypes also in two published, larger cohorts suggesting that intestinal microbiota variation is generally stratified, not continuous. This further indicates the existence of a limited number of well-balanced host-microbial symbiotic states that might respond differently to diet and drug intake. The enterotypes are mostly driven by species composition, but abundant molecular functions are not necessarily provided by abundant species, highlighting the importance of a functional analysis for a community understanding. While individual host properties such as body mass index, age, or gender cannot explain the observed enterotypes, data-driven marker genes or functional modules can be identified for each of these host properties. For example, twelve genes significantly correlate with age and three functional modules with the body mass index, hinting at a diagnostic potential of microbial markers

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