Evidence map›Paper›PMID 41540343›Full record

ArticleBMC microbiology2026

Antibacterial activity and mechanism analysis of deoxycholic acid against Clostridium perfringens.

Xinglong Song, Qingyun Guo, Zhenyu Zhong, Jiade Bai, Meihui Wang, Congshan Yang, Qingxun Zhang

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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Xinglong SongNational Conservation and Research Center for Milu, Beijing, 100076, China.
Qingyun GuoNational Conservation and Research Center for Milu, Beijing, 100076, China.
Zhenyu ZhongNational Conservation and Research Center for Milu, Beijing, 100076, China.
Jiade BaiNational Conservation and Research Center for Milu, Beijing, 100076, China.
Meihui WangNational Conservation and Research Center for Milu, Beijing, 100076, China.
Congshan YangCollege of Veterinary Medicine, Anhui Agricultural University, Hefei, 230036, Anhui Province, China.
Qingxun ZhangNational Conservation and Research Center for Milu, Beijing, 100076, China. zhangqingxun1990@126.com.

Funding

BJAST 25CA005
6 · The paper itself

Abstract

backgroundDeoxycholic acid (DCA), a gut microbiota-derived secondary metabolite, exhibits broad-spectrum antimicrobial activity, particularly against Clostridium perfringens(C. perfringens). However, its specific antibacterial mechanism remains unclear.

objectiveTo investigate the antibacterial activity and mechanism of DCA against C. perfringens, this study employed in vitro experiments combined with transcriptomic analysis to explore the inhibitory effects and underlying mechanism of DCA on C. perfringens.

resultThe results indicate that DCA can effectively inhibit the formation of C. perfringens biofilms, disrupt their cell walls, increase cell membrane permeability, and cause nucleic acid leakage. Transcriptome analysis revealed that DCA can up-regulating the oxidative phosphorylation pathway in C. perfringens and down-regulating antioxidant activity, peroxidase activity, and oxidoreductase activity, suggesting its potential antibacterial mechanism. This study provides insights into the antimicrobial activity of DCA and its mechanisms, laying a theoretical foundation for its development as a novel antimicrobial agent or feed additive.

Indexed as

Anti-Bacterial AgentsClostridium perfringensDeoxycholic AcidBiofilmsCell Membrane PermeabilityCell WallGene Expression ProfilingMicrobial Sensitivity TestsAnti-Bacterial AgentsDeoxycholic AcidAntimicrobial activityClostridium perfringensDeoxycholic acidTranscriptomics

Identifiers

PMID41540343
PMCPMC12947345

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.