Evidence map›Paper›PMID 41059042›Full record

ArticleFrontiers in cellular and infection microbiology2025

Kai-Meng Shang, He Ma, Yong-Jie Wei, Ji-Xin Zhao, Ya Qin, Jian-Ming Li, Zi-Yu Zhao, Hai-Long Yu, Quan Zhao, Bei-Ni Chen and 3 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Kai-Meng Shang *Integrated Laboratory of Pathogenic Biology, College of Preclinical Medicine, Dali University, Dali, China.
He Ma *College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong, China.
Yong-Jie WeiCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong, China.
Ji-Xin ZhaoCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong, China.
Ya QinCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong, China.
Jian-Ming LiCollege of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin, China.
Zi-Yu ZhaoCollege of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin, China.
Hai-Long YuCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong, China.
Quan ZhaoCollege of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin, China.
Bei-Ni ChenCollege of Life Sciences, Changchun Sci-Tech University, Shuangyang, Jilin, China.
Hany M ElsheikhaFaculty of Medicine and Health Sciences, School of Veterinary Medicine and Science, University of Nottingham, Loughborough, United Kingdom.
Xiao-Xuan ZhangCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong, China.
Xing YangIntegrated Laboratory of Pathogenic Biology, College of Preclinical Medicine, Dali University, Dali, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bile acids (BAs) are central to host-microbiota interactions, yet their metabolism in wild rodents remains poorly characterized. This study aimed to explore the genomic potential of gut microorganisms in wild rodents for BA metabolism and its implications for host adaptation and pathogen interactions. Methods: We reconstructed 6,332 genomes from the gut microbiota of wild rodents and performed genome-resolved metabolic profiling. Comparative analyses were conducted across host species, including humans, pigs, laboratory mice, and chickens. Functional enrichment was further assessed in relation to glycoside hydrolase families and Enterocytozoon bieneusi infection status. Results: A total of 5,208 genomes were identified as participants in key BA metabolic pathways, including deconjugation, oxidation, and dihydroxylation, predominantly from Bacillota_A and Bacteroidota. Notably, Muribaculaceae and CAG-485 lineages within Bacteroidota encoded bile salt hydrolase (BSH). Cross-species comparisons revealed a striking absence of 7β-hydroxysteroid dehydrogenase (7β-HSDH) in laboratory mice, indicating their limited suitability for modeling intestinal BA metabolism. BSH-encoding genomes were significantly enriched in glycoside hydrolase families GH13 and GH16, suggesting a potential link between BA transformation and carbohydrate metabolism. Furthermore, Enterocytozoon bieneusi infection was associated with a marked increase in BA-related microbial taxa in wild rodents. Discussion: Our findings highlight the intricate interconnections between gut microbial functions, BA metabolism, and pathogen interactions. The absence of 7β-HSDH in laboratory mice underscores wild rodents as potentially more suitable models for BA research. These results open new avenues for understanding microbiome-driven host adaptation and health.

Indexed as

Bile Acids and SaltsEnterocytozoonGastrointestinal MicrobiomeMicrosporidiosisAnimalsAnimals, WildGlycoside HydrolasesHumansMetabolic Networks and PathwaysMicePhylogenyRodentiaBile Acids and SaltsGlycoside Hydrolasesbile acid metabolismEnterocytozoon bieneusigut microbiotamicrobial functional profilingrodentia

Identifiers

PMID41059042
PMCPMC12497767

What OpenQuestion holds

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LicenceCC BY
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.