In this podcast, Fedor Galkin, the Project Manager at Insilico Medicine, Inc., talks in detail about his studies in aging/longevity, human genotypes, and the microbiome.

Galkin attended Moscow State University and earned a degree in Bioengineering & Bioinformatics. Galkin’s work focuses on microbiome aging clocks based in deep learning. It is important to note that the microbiome can be utilized to predict the age of people, accurately, within but a few years.

Galkin provides information on some of the earliest microbiome aging clocks, and the technology that supports them. Some technologies can make important assessments based on blood biochemistry and gene expression levels; however, Galkin states there’s never been a clock that actually predicts age accurately, based on gut microbes. Galkin explains how they select and look at the various microbes in their study and research. And he talks about the correlations and organization within the microbes, and how with age, things will often fluctuate.

Galkin talks about how certain conditions, such as diabetes can make the gut microbes appear to be those of a much older person. And the bioengineering expert discusses nutrients, and supplements, etc. and how they can impact biological systems. Galkin explains their work on the species level and his expectations to research more on the functional and genetic level as well, regarding the human microbiome.

In this podcast:

How the microbiome can predict age
The various areas within the study of microbes
How blood chemistry and gene expression are involved

Fedor Galkin: Thanks to Future Tech Health Podcast for reaching out! We have discussed Insilico Medicine, Inc. microflora aging clock. I was a bit nervous while recording this podcast and mixed some things up. Eg combining “et alia” and “and others” into “et ales”, or calling “Bacteroidetes” phylum “Bacteroides”.

Here are some articles I had in mind, while discussing human microflora with Future Tech Podcast:

– PMC2702274 — Bacteroidetes/Firmicutes age fluctuation;
– PMID:26590418 — why there’s no such thing as universally best diet, and what bacteria have to do with that, by Eran Segal.
– PMC6355990 — how nutrient source affects microbes differently, also check Teichmann and Cockburn’s work on SCFA
– PMC4879732 — how bacteria co-abundance groups change with age;
– PMC4848870 — discussion on functional/taxonomic core from HMP data

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