Evidence map›Paper›PMID 41263316›Full record

SynthesisMicrobiologyOpen2025

Comparison of Gut Microbiological Profiles of Inbred and Outbred Healthy Mice.

Xudong Liu, Shitao Lian, Aoyi Xiao, Xiafei Hong, Dingyan Cao, Xinjie Xu, Yanan Shi, Qing Zhong, Hangqi Liu, Wenjing Wang and 3 more

Abstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in MicrobiologyOpen, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Xudong LiuLaboratory Animal Research Facility, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.ORCID 0000-0002-6893-8842
Shitao LianSchool of Engineering Medicine, Beihang University, Beijing, China.
Aoyi XiaoDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Xiafei HongDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Dingyan CaoDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Xinjie XuLaboratory Animal Research Facility, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Yanan ShiBiomedical Engineering Facility of National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qing ZhongBiomedical Engineering Facility of National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hangqi LiuThe State Key Laboratory for Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Beijing, China.
Wenjing WangLaboratory Animal Research Facility, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Jinyuan WangDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Zilong HeSchool of Engineering Medicine, Beihang University, Beijing, China.ORCID 0000-0002-7111-7770
Wenming WuThe State Key Laboratory for Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Beijing, China.

Funding

Noncommunicable Chronic Diseases National Science and Technology Major Project (Grant Number 2024ZD0525500/2024ZD0525502, 2023ZD0516500), the National High Level Hospital Clinical Research Funding (Grant Number 2025-PUMCH-C-034, 2022-PUMCH-D-001) and the National Nature Science Foundation of China (Grant Number 52271254).
6 · The paper itself

Abstract

Gut microbes are closely related to host immunity and health, and mice are frequently used as a common model organism in biomedicine to study various diseases. Numerous studies based on mouse gut microbes have been conducted, but whether there are differences in the gut microbial profiles of healthy mice of different strains has not been revealed. In this study, we performed a meta-analysis comparing four strains (inbred strains: C57BL and BALB; outbred strains: KM and ICR) of mouse healthy gut microbial 16S V3-V4 data based on publicly available online data. We focused on microbial diversity, microbial composition, abundance differential microbiota, and co-abundance networks. We found that the gut microbes of these four strains of mice differed in the above metrics to varying degrees. Our study found significant differences in gut microbiology among four strains of healthy mice. The strain will be a background factor that cannot be ignored in future studies of gut microbiology in mice. The impact of this factor on gut microbiology experiments should be considered.

Indexed as

BacteriaGastrointestinal MicrobiomeAnimalsAnimals, Outbred StrainsMiceMice, Inbred BALB CMice, Inbred C57BLMice, Inbred ICRRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S V3‐V4gut microbiotainbredmiceoutbred

Identifiers

PMID41263316
PMCPMC12631537

What OpenQuestion holds

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LicenceCC BY
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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.