Evidence mapPaperPMID 39349486Full record

SynthesisNPJ biofilms and microbiomes2024

A population-scale analysis of 36 gut microbiome studies reveals universal species signatures for common diseases.

Wen Sun, Yue Zhang, Ruochun Guo, Shanshan Sha, Changming Chen, Hayan Ullah, Yan Zhang, Jie Ma, Wei You, Jinxin Meng and 7 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in NPJ biofilms and microbiomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. High-throughput analyses ofGut microbes · 2026
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  13. [The intestinal microbiota in inflammatory bowel diseases].Innere Medizin (Heidelberg, Germany) · 2025
    Review
  14. Article
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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

17 authors.

Wen Sun *Centre for Translational Medicine, Shenzhen Bao'an Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, 518000, China.ORCID http://orcid.org/0009-0002-3624-5870
Yue Zhang *Puensum Genetech Institute, Wuhan, 430076, China.ORCID http://orcid.org/0000-0002-9982-7352
Ruochun Guo *Puensum Genetech Institute, Wuhan, 430076, China.
Shanshan Sha *Department of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China.
Changming Chen *Department of Rheumatology and Immunology, The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, China.
Hayan UllahDepartment of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China.
Yan ZhangDepartment of Traditional Chinese Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Jie MaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100700, China.
Wei YouDepartment of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Jinxin MengPuensum Genetech Institute, Wuhan, 430076, China.
Qingbo LvPuensum Genetech Institute, Wuhan, 430076, China.
Lin ChengDepartment of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China.
Shao FanDepartment of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China.
Rui LiDepartment of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China.
Xiaohong MuDepartment Orthopedics, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China. muxiaohong2006@163.com.
Shenghui LiPuensum Genetech Institute, Wuhan, 430076, China. lsh2@qq.com.ORCID http://orcid.org/0000-0003-1071-8510
Qiulong YanDepartment of Microbiology, Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China. qiulongy1988@163.com.ORCID http://orcid.org/0000-0002-2697-4562

Funding

Beijing University of Chinese Medicine (BUCM) 2180072120049Beijing University of Chinese Medicine (BUCM) 5050071720001National Natural Science Foundation of China (National Science Foundation of China) 81503455
6 · The paper itself

Abstract

The gut microbiome has been implicated in various human diseases, though findings across studies have shown considerable variability. In this study, we reanalyzed 6314 publicly available fecal metagenomes from 36 case-control studies on different diseases to investigate microbial diversity and disease-shared signatures. Using a unified analysis pipeline, we observed reduced microbial diversity in many diseases, while some exhibited increased diversity. Significant alterations in microbial communities were detected across most diseases. A meta-analysis identified 277 disease-associated gut species, including numerous opportunistic pathogens enriched in patients and a depletion of beneficial microbes. A random forest classifier based on these signatures achieved high accuracy in distinguishing diseased individuals from controls (AUC = 0.776) and high-risk patients from controls (AUC = 0.825), and it also performed well in external cohorts. These results offer insights into the gut microbiome's role in common diseases in the Chinese population and will guide personalized disease management strategies.

Indexed as

BacteriaFecesGastrointestinal MicrobiomeBiodiversityCase-Control StudiesChinaHumansMetagenomeMetagenomics

Identifiers

PMID39349486
PMCPMC11442664

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.