Evidence map›Paper›PMID 41564867›Full record

ArticleCell reports. Medicine2026

Microbiota-metabolome interplay in depression: Metabolic insights and diagnostic potential.

Mingliang Zhao, Penghong Liu, Mingzhi Pan, Yuhuai Guo, Tao Sun, Zhenxing Ren, Xiaojiao Zheng, Mengci Li, Xiaowen Chao, Jijun Wang and 17 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 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. Article
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

27 authors.

Mingliang ZhaoCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Penghong LiuDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China; Shanxi Medical University, Taiyuan 030001, China; Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan 030001, China.
Mingzhi PanSuzhou Guangji Hospital & Affiliated Guangji Hospital of Soochow University, Soochow University, Suzhou, Jiangsu 215137, P.R. China.
Yuhuai GuoCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Tao SunCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Zhenxing RenCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Xiaojiao ZhengCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Mengci LiCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Xiaowen ChaoCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Jijun WangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, P.R. China.
Jiahui ZengShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, P.R. China.
Xiaohua LiuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, P.R. China.
Yong YangSuzhou Guangji Hospital & Affiliated Guangji Hospital of Soochow University, Soochow University, Suzhou, Jiangsu 215137, P.R. China.
Peiyang LuoCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Dan ZhengCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Junliang KuangCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Keke DingCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Aihua ZhaoCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Kun GeCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Yingjun OuyangDepartment of Neurology, Guangzhou First People's Hospital, Guangzhou 510030, China.
Guoxiang XieHuman Metabolomics Institute, Inc., Shenzhen 518109, China.
Ping LiuSchool of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China.
Chuang WangSchool of Basic Medical Science, Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Tianlu ChenCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China. Electronic address: chentianlu@sjtu.edu.cn.
Tianhong ZhangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai Intelligent Psychological Evaluation and Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, P.R. China. Electronic address: zhang_tianhong@126.com.
Ning SunDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China; Shanxi Medical University, Taiyuan 030001, China; Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan 030001, China. Electronic address: sunning82628@163.com.
Wei JiaCenter for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China; Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong, China. Electronic address: weijia2@hku.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mounting evidence highlights the interplay between gut microbiota, metabolism, and depression. In this study, we analyze fecal and serum metabolomes in first-episode depression and matched controls (n = 186), with validation in three independent cohorts (n = 223, 85, 52) including drug intervention. Significant disruptions are noted in 53 gut microbial species, 12 microbiota-related metabolic pathways, and 34 metabolites in depressive individuals compared to controls. Sixteen metabolites exhibit reversal after drug administration. Partial Spearman analysis identifies 271 species-metabolite correlations, and mediation analysis unveils 61 metabolite-mediated species-depression correlations. Key features associated with depression, including Bifidobacterium longum, Parasutterella excrementihominis, tyrosine, serotonin, and homovanillic acid, are highlighted. A machine learning model with 34 metabolites achieves area under the receiver operating characteristic (ROC) curve values of 0.82 and 0.80 in discriminating depression from control in test and validation sets. Our findings highlight metabolites as key mediators linking microbiota to depression and as valuable indicators for its identification.

Indexed as

DepressionGastrointestinal MicrobiomeMetabolomeFecesFemaleHumansMachine LearningMaleROC Curvecorrelationsdepressionmachine learningmediation analysismetabolismmicrobiota

Identifiers

PMID41564867
PMCPMC12866080

What Socratic 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 Socratic graph.