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Is it possible to predict biological age with gut microbiome?

Models and anti-ageing intervention design enables new ageing clock development


Key points from article :

Team analyzed 13 studies on human gut microbiome to develop ageing biomarker clock from it.

They trained a deep neural network using over 1000 microflora samples.

Resulting clock predicted the age of the person with mean margin of error of 5.9 to 6.8 years.

The microbiome does change in a somewhat predictable manner in the context of ageing.

It may be possible to refine the clock further for much higher accuracy.

Next step is to identify the specific bacterial populations influencing rate of ageing.

Provides a starting point for building host ageing, gut community succession into single narrative.

Researchers from Harvard Medical School and Insilico Medicine, published in iScience.

Mentioned in this article:

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Harvard Medical School

Graduate medical school of Harvard University

Insilico Medicine

Biotechnology company that uses artificial intelligence to develop new drugs and for aging research


Interdisciplinary open access journal

Vadim Gladyshev

Professor of Medicine at Harvard Medical School

Topics mentioned on this page:
Biological Age, Microbiome