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Gut microbiome, and immune cells mediated effect on depression: A two-step, two-sample Mendelian randomization
Canrong Chen1, Ding Zhang1, Donglin Wu1
1Guangxi University of Chinese Medicine, Nanning, 530200, China.
Experimental Gerontology
|July 26, 2024
Summary
The gut microbiota influences depression through immune cells. Methionine biosynthesis III is a key gut microbiome factor causally linked to depression, mediated by specific immune cell traits.
Area of Science:
- Genetics and Microbiology
- Immunology
- Psychiatry
Background:
- The gut microbiota (GM) is implicated in immune-related diseases and depression (Dep).
- The precise role of immune cells (ImC) in mediating the GM-Dep relationship remains unclear.
Purpose of the Study:
- To investigate if immune cells mediate the effect of the gut microbiota on depression.
- To identify and quantify the role of specific immune characteristics as potential mediators.
Main Methods:
- Utilized pooled genome-wide association study (GWAS) statistics for gut microbiota (n=7738) and immune cells (n=3757).
- Employed a mediated Mendelian randomization (MR) approach using depression data (n=47,696) to assess causal relationships.
- Investigated the mediating role of immune cells in the association between gut microbiota and depression.
Main Results:
- Genetically predicted gut microbiota showed significant correlations with both immune cells and depression.
- MR analysis identified five specific microbiomes, including Methionine biosynthesis III, with significant causal effects on depression.
- Five immune cell traits, such as T cell proportions and specific CD markers, were significantly associated with both GM and depression, with CD27 on peripheral blood plasma cells mediating 7.88% of the effect.
Conclusions:
- Gut microbiota plays a potential causal role in depression, mediated by immune cells.
- Findings elucidate the pathogenic mechanisms of GM in depression and highlight immune mediation risks.
- Suggests exploring immunologic intervention therapies for depression patients.

