ArticleTranslational psychiatry2024
Gut microbial CAZymes markers for depression.
Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of children's mental health disorders and implications in pharmacotherapy: a systematic review and meta-analysis.Postgraduate medicine · 2025Pooled it
- Functional gut microbiome signatures underlying interindividual variability in metabolic responses to red raspberry consumption.Scientific reports · 2026Trial
- AAnimals : an open access journal from MDPI · 2026Article
- Gut microbiota alterations and signatures across subthreshold depression and major depressive disorders in adolescents.Journal of translational medicine · 2026Article
- Objective diagnosis and treatment outcome prediction in major depressive disorder based on a machine learning framework with dried-serum NIRS digital biomarkers.BMC psychiatry · 2026Article
- Gut-brain axis in health and brain disease.Chinese medical journal · 2026Review
- Effects of dietary supplementation with Bacillus coagulans on growth and immune performance, rumen microorganisms, and metabolites of yaks.BMC microbiology · 2025Article
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Authors and funding
17 authors.
Funding
Abstract
Major depressive disorder (MDD) is a serious mental illness, characterized by disturbances of gut microbiome, it is required to further explore how the carbohydrate-active enzymes (CAZymes) were changed in MDD. Here, using the metagenomic data from patients with MDD (n = 118) and heath controls (HC, n = 118), we found that the whole CAZymes signatures of MDD were significantly discriminated from that in HC. α-diversity indexes of the two groups were also significantly different. The patients with MDD were characterized by enriched Glycoside Hydrolases (GHs) and Polysaccharide Lyases (PLs) relative to HC. A panel of makers composed of 9 CAZymes mainly belonging to GHs enabled to discriminate the patients with MDD and HC with AUC of 0.824. In addition, this marker panel could classify blinded test samples from the two groups with an AUC of 0.736. Moreover, we found that baseline 4 CAZymes levels also could predict the antidepressant efficacy after adjusted confounding factors and times of depressive episode. Our findings showed that MDD was associated with disturbances of gut CAZymes, which may help to develop diagnostic and predictive tools for depression.
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