ArticleMicroorganisms2023
The Association between Gut Microbiota and Depression in the Japanese Population.
Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Causal effects of gut microbiota and blood metabolites on subtypes of perinatal depression classified based on depressive symptom trajectories: a mendelian randomization study.Nutrition & metabolism · 2026Article
- Article
- Physical Activity Is Associated With Reduced Mild Depression and Altered Gut Microbiota in Japanese Adult Women.Cureus · 2025Article
- Gut microbiota and blood metabolites: unveiling their roles in hippocampal volume changes through Mendelian randomization and mediation analysis.Metabolic brain disease · 2025Article
- Anxiolytic, Antidepressant and Healthy Sleep-Promoting Potential of Rosmarinic Acid: Mechanisms and Molecular Targets.Neuropsychiatric disease and treatment · 2025Review
- Pharmacological modulation of the gut-brain axis: psychobiotics in focus for depression therapy.Frontiers in pharmacology · 2025Review
- A risk estimation method for depression based on the dysbiosis of intestinal microbiota in Japanese patients.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Depression is a leading cause of disease worldwide. The association between gut microbiota and depression has barely been investigated in the Japanese population. We analyzed Iwaki health check-up data collected from 2017 to 2019 and constructed generalized linear mixed models. The independent variable was the relative abundance of each of the 37 gut microbiota genera that were reported to be associated with depression. The dependent variable was the presence of depression assessed by the Center for Epidemiologic Studies Depression Scale. Potential confounders, including grip strength, gender, height, weight, smoking, and drinking habits, were adjusted in the regression models. Nine genera's regression coefficients (
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