Evidence map›Paper›PMID 42357792›Full record

ArticleVeterinary sciences2026

Multi-Omics Analysis Reveals Age-Dependent Metabolic Remodeling and Immune Maturation in the Cecum of Liangshan Yanying Chickens.

Zengwen Huang, Jing Wang, Chaoyun Yang, Heng Yang, Zhiqiang Hu, Gang Shu, Zengpeng Lv, Dayong Si

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

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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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.

Zengwen HuangCollege of Animal Science, Xichang University, Xichang 615000, China.
Jing WangCollege of Tourism and Urban-Rural Planning, Xichang University, Xichang 615000, China.
Chaoyun YangCollege of Animal Science, Xichang University, Xichang 615000, China.ORCID 0000-0001-6190-7958
Heng YangCollege of Veterinary Medicine, Rongchang Campus, Southwest University, Chongqing 402460, China.
Zhiqiang HuCollege of Animal Science, Xichang University, Xichang 615000, China.
Gang ShuCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0002-0610-9635
Zengpeng LvCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Dayong SiCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.

Funding

Science and Technology Program Project of Liangshan Prefecture 24YZGG0003Xichang University YBZ202211
6 · The paper itself

Abstract

Liangshan Yanying chicken is a valuable plateau-adapted indigenous poultry breed in China. The poultry cecum modulates nutrient metabolism, gut microbial colonization and intestinal immune barrier establishment, while the molecular mechanisms driving its age-dependent development during the brooding stage remain unclear. Here, integrated transcriptomic and metabolomic profiling coupled with bioinformatics correlation analysis were conducted on cecal samples collected from chickens at post-hatching days 1, 14 and 28. Significant temporal changes were observed in cecal gene expression and metabolite abundance, and day 14 was identified as a critical window for cecal functional maturation and microbial colonization. In total, 2424 metabolites were annotated, including 600 differentially accumulated metabolites. The cecum exhibited phase-specific metabolic patterns: endogenous energy metabolism dominated at 1-14 d, while lipid biosynthesis prevailed at 14-28 d. The intestinal IgA immune network was verified as the core pathway maintaining cecal immune homeostasis in young chicks. Multi-omics conjoint analysis yielded 53 overlapping KEGG pathways, 14 core pathways, 3 pivotal metabolites and 5 hub genes, based on which three interactive regulatory networks were constructed. Transcriptomic data were validated via qRT-PCR. This study reveals cecal metabolic remodeling and regulatory characteristics during the brooding period, supplementing gut developmental research on plateau indigenous chickens. Notably, these results reflect age-related cecal developmental changes rather than breed-specific high-altitude adaptation mechanisms. Further independent verification is required for metabolomic data and predicted regulatory networks. This finding provides a theoretical basis for scientific breeding and feeding management of Liangshan Yanying chickens.

Indexed as

brooding periodcecumLiangshan Yanying chickenmetabolomicsmolecular regulatory network

Identifiers

PMID42357792
PMCPMC13308322

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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.