Evidence map›Paper›PMID 42623770›Full record

ArticlePoultry science2026

Gut Faecalibacterium regulates host immunity and metabolic profiles to confer resistance against Salmonella infection in chicks.

Xiang Li, Yaping Wang, Zixuan Wang, Man Deng, Jumei Zheng, He Geng, Guiping Zhao, Qiao Wang

Abstract read
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xiang LiGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, China, 530004; State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences; Key Laboratory of Animal (Poultry) Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China.
Yaping WangGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, China, 530004; State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences; Key Laboratory of Animal (Poultry) Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China.
Zixuan WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences; Key Laboratory of Animal (Poultry) Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China.
Man DengState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences; Key Laboratory of Animal (Poultry) Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China.
Jumei ZhengState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences; Key Laboratory of Animal (Poultry) Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China.
He GengState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences; Key Laboratory of Animal (Poultry) Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China.
Guiping ZhaoState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences; Key Laboratory of Animal (Poultry) Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China.
Qiao WangState Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences; Key Laboratory of Animal (Poultry) Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China. Electronic address: wangqiao01@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the pathogenic mechanism of Salmonella Enteritidis (SE) infection in chicks and the regulatory role of Faecalibacterium, we established a chick SE infection model, systematically analyzing intestinal damage, systemic inflammation, and cecal microbial community changes. Focusing on the differentially abundant Faecalibacterium, we elucidated its regulatory mechanism via metagenomics, transcriptomics, and serum metabolomics. Results showed that SE successfully colonized the chick cecum, causing significant reductions in the thickness of the intestinal mucosal and muscular layers, a decrease in gland depth, and a loss of goblet cells. Concurrently, serum levels of IgA and IL-6 were markedly elevated, indicating the induction of systemic inflammatory responses and severe intestinal damage. Microbiome analysis revealed SE significantly altered cecal microbiota β-diversity, increased Actinobacteria abundance, and decreased the abundance of beneficial bacterial families (Lachnospiraceae and Oscillospiraceae) and the key beneficial genus Faecalibacterium. Functional prediction indicated microbial function remodeling towards enhanced pathogen colonization and pro-inflammation. β-diversity analysis of Faecalibacterium gene set showed clear separation between the Ctrl and SE groups in two-dimensional space: the control group was enriched in immune-related pathways such as Th17 cell differentiation and IL-17 signaling pathway, while the infected group was enriched in pathways related to Salmonella infection and pathogenic Escherichia coli infection. Validation in uninfected chicks showed High_ Faecalibacterium abundance was associated with lower serum IL-6, IL-8, IFN-γ and distinct gene expression profiles. Differentially expressed genes (DEGs) were enriched in immune regulation pathways such as cytokine-cytokine receptor interaction, NOD-like receptor signaling pathway, and intestinal immune network for IgA. LASSO regression screening identified 16 key associated genes including TM4SF4 and FABP4. Serum metabolomics showed distinct metabolic profiles between High_ and Low_ Faecalibacterium abundance groups, with 26 differential metabolites; N-(2,4-dinitrophenyl) ethylenediamine and Val-Gly-Phe (AUC > 0.8) were potential biomarkers. In conclusion, SE induces pathogenesis by damaging intestinal barrier, triggering inflammation, and disrupting cecal microbiota. Faecalibacterium enhances chick resistance to SE via regulating immune and metabolic homeostasis, providing a basis for avian salmonellosis microecological control.

Indexed as

ChicksFaecalibacteriumGut microbiotaSalmonella infectionSerum metabolomics

Identifiers

PMID42623770
PMCPMC13524465

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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.