Evidence map›Paper›PMID 41975251›Full record

ArticleBMC microbiology2026

Gut microbial metabolic disorder in depression: insights from computational modeling and mediation analysis.

Yuchen Zhang, Wenkai Lai, Meiling Wang, Shirong Lai, Qing Liu, Qi Luo, Zheng Chen, Da Zhao, Ziwei Wang, Fenglong Yang

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yuchen Zhang *Department of Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.
Wenkai Lai *School of Medical Imaging, Fujian Medical University, Fuzhou, 350122, China.
Meiling WangDepartment of Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.
Shirong LaiSchool of Medical Imaging, Fujian Medical University, Fuzhou, 350122, China.
Qing LiuSchool of Medical Imaging, Fujian Medical University, Fuzhou, 350122, China.
Qi LuoDepartment of Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.
Zheng ChenCollege of Life Science, Jiangxi Normal University, Jiangxi, 330000, China. chenzheng7@126.com.
Da ZhaoSchool of Information Engineering, Fujian Key Lab of Agriculture IOT Application, Sanming University, Sanming, Fujian, 365004, China.
Ziwei WangBiomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji'nan, 250117, China. amber4@yeah.net.
Fenglong YangDepartment of Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China. yangfenglong@fjmu.edu.cn.

Funding

Fujian Medical University Research Foundation of Talented Scholars XRCZX2022003Joint Funds for the Innovation of Science and Technology, Fujian province 2022J05055National Natural Science Foundation of China 62102065,62272321Science and Technology Plan Project of Taizhou 24ywa61
6 · The paper itself

Abstract

Depression is increasingly recognized as a disorder not only of the brain but also of systemic metabolic dysfunction, particularly involving the gut microbiota. Integrating multi-cohort gut microbiome data with constraint-based metabolic modeling, this study investigates how microbial metabolic fluxes mediate depressive symptoms. Significant alterations in microbial pathways, notably those related to amino acid metabolism and neurotransmitter precursors, were identified. Causal mediation analysis showed that gut microbial composition influenced depressive symptoms, significantly mediated by specific metabolites including butyrate, Cu2+, and tryptophan-derived compounds. This study, employing systems biology and mediation analysis, suggests that microbial metabolic activity mediates the gut-brain axis’s role in depression development and severity. These results enhance our understanding of microbiota-related mechanisms in mental health and highlight potential metabolic targets for depression treatment.

Indexed as

DepressionGastrointestinal MicrobiomeBacteriaButyratesComputer SimulationHumansMediation AnalysisMetabolic Networks and PathwaysButyratesDepression, Gut-brain axis, Metabolic modeling, Flux balance analysis, Causal mediation analysis, Potential Biomarkers

Identifiers

PMID41975251
PMCPMC13203000

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.