Full-metagenome analysis helps identify depressing gut microbe

In a three-year study, researchers from Skoltech, Vavilov Institute of General Genetics of RAS, the Moscow-based Mental-Health Clinic No. 1 Named After N.A. Alexeev and Serbsky Federal Medical Research Centre of Psychiatry and Narcology have examined how gut microbes in patients with a major depressive disorder are different from those in mentally healthy people. After analyzing all genes present in the gut microbiome, the team pinpointed a particular bacterium — Faecalibacterium prausnitzii — responsible for the largest functional discrepancy between the healthy and the depressed datasets. The findings, which hold promise for express mental health diagnostics and “psychobiotic” medications, are reported in Biomedicines.

If you know which genes are represented to a lesser or greater extent in depressive patients compared with the healthy population, and which bacteria are responsible for this, you can attempt to do two things. First, you can use the analysis of fecal microbiota as a supplementary tool when diagnosing the mental disorder. Second, you can try to develop drugs that would ‘normalize’ gut microbiome in depressed patients.” 

Alexey Kovtun, Study Lead Author, Bio Research Intern, Skoltech 

To identify “depressing” gut germs, the researchers conducted so-called full-metagenome analysis. That is, they recovered and sequenced the entirety of bacterial DNA from the feces samples of a cohort of patients diagnosed with the major depressive disorder and a cohort of mentally healthy individuals. “The result is that we know both which genes and bacterial species are present in the microbiome of each group, and how strongly they are represented,” Kovtun said. 

The next step is identifying the set of genes that vary significantly between the healthy individuals and those with the mental disorder and zooming in on those particular genes to find out which of the bacteria carrying them are actually over- or underrepresented in the microbiome of depressed patients. 

One particular bacterium really stood out. It is called Faecalibacterium prausnitzii, and it is significantly less abundant in the gut of patients with the major depressive disorder. We linked it to three strongly underrepresented gene groups in the microbiome metagenome of those patients.” 

Alexey Kovtun

The first of the three notable gene sets is involved in the production of the hormone melatonin, which regulates the sleep-wake cycle. The second one is associated with the formation of the classical neurotransmitters glutamate and gamma-aminobutyric acid. The third one is comprised by multiple genes responsible for the synthesis of short-chain acids, whose deficiency has been linked to depression. 

According to the authors of the paper, the microbe whose role the study highlights — Faecalibacterium prausnitzii — has increasingly attracted the attention of researchers in the context of developing treatment options and diagnostic approaches for various diseases based on certain bacterial strains. The professional community is excited about this bacterium.

Hopefully, it could prove useful as a target for express test kits for mental disorder diagnostics and psychobiotic drugs promoting mental well-being by harmonizing patient microbiome. We hear a lot about prebiotics and probiotics — well, psychobiotics could be the next big thing, and our team is part of the global effort to make them a reality.”

Alexey Kovtun

The study reported in this story featured researchers from Vavilov Institute of General Genetics of RAS, Skolkovo Institute of Science and Technology, Moscow Institute of Physics and Technology, Mental-Health Clinic No. 1 Named after N.A. Alexeev, Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow State University of Food Production, and Caspian University.

Source:
Journal reference:

Kovtun, A.S., et al. (2022) Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder. Biomedicines. doi.org/10.3390/biomedicines10092162.

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