Evidence map›Paper›PMID 40038576›Full record

ReviewGut microbes2025

Interbacterial warfare in the human gut: insights from Bacteroidales' perspective.

Kun Jiang, Xinxin Pang, Weixun Li, Xiaoning Xu, Yan Yang, Chengbin Shang, Xiang Gao

Abstract readReview
In one paragraph

Review in Gut microbes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  12. A nonenzymatic effector disruptsProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
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  15. The gut commensalFrontiers in microbiology · 2025
    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

7 authors.

Kun JiangState Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Xinxin PangState Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Weixun LiState Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Xiaoning XuState Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Yan YangState Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Chengbin ShangState Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Xiang GaoState Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.ORCID 0000-0001-6397-5639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Competition and cooperation are fundamental to the stability and evolution of ecological communities. The human gut microbiota, a dense and complex microbial ecosystem, plays a critical role in the host's health and disease, with competitive interactions being particularly significant. As a dominant and extensively studied group in the human gut, Bacteroidales serves as a successful model system for understanding these intricate dynamic processes. This review summarizes recent advances in our understanding of the intricate antagonism mechanisms among gut Bacteroidales at the biochemical or molecular-genetic levels, focusing on interference and exploitation competition. We also discuss unresolved questions and suggest strategies for studying the competitive mechanisms of Bacteroidales. The review presented here offers valuable insights into the molecular basis of bacterial antagonism in the human gut and may inform strategies for manipulating the microbiome to benefit human health.

Indexed as

AntibiosisBacteroidetesGastrointestinal MicrobiomeGastrointestinal TractMicrobial InteractionsHumansBacterial competitionBacteroidalesexploitation competitioninterference competition

Identifiers

PMID40038576
PMCPMC11901371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.