Evidence map›Paper›PMID 40503877›Full record

ArticleMicrobiology spectrum2025

Chlorogenic acid alters ileal microbiota and metabolites in broiler chickens under immune stress.

Ziwei Wang, Wenrui Zhen, Yi Zhang, Caifang Guo, Xiaodie Zhao, Penghui Ma, Koichi Ito, Bingkun Zhang, Cai Zhang, Dongying Bai and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

11 authors.

Ziwei Wang *Department of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
Wenrui Zhen *Department of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
Yi ZhangDepartment of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
Caifang GuoDepartment of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
Xiaodie ZhaoDepartment of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
Penghui MaDepartment of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
Koichi ItoDepartment of Food and Physiological Models, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Ibaraki, Japan.
Bingkun ZhangState Key Laboratory of Animal Nutrition, Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, China Agricultural University, Beijing, China.ORCID 0000-0002-5088-687X
Cai ZhangDepartment of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
Dongying BaiDepartment of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.ORCID 0000-0002-9296-9235
Yanbo MaDepartment of Animal Physiology, College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.ORCID 0009-0002-5650-8105

Funding

Frontier exploration projects of Longmen Laboratory LMQYTSKT037Key research and development and promotion of special project of Henan province 242102110018Key Scientific research foundation of the higher education institutions of Henan province 22A230001National Key Research and Development Program of China 2022YFE0111100Program for International S&T Cooperation Projects of Henan 232102521012The key research and development of Henan province 241111113800Trendy industry projections of Longmen Laboratory LMFKCY2023002
6 · The paper itself

Abstract

Immune stress in broilers can cause severe economic losses, and chlorogenic acid (CGA) is an effective plant extract for alleviating immune stress. This study investigated the effects of CGA on the intestinal microbiota and metabolites of broilers under immune stress. A group of 312 broiler chicks was randomly divided into four treatment groups: Saline control, lipopolysaccharide (LPS), LPS + CGA (LCGA), and Saline + CGA (SCGA). The SCGA and LCGA groups were fed a basal diet supplemented with 1,000 mg/kg CGA throughout the whole experimental period. The LPS and LCGA groups were injected with 0.5 mg/kg LPS on days 14, 15, and 16 to induce immune stress. At day 17, the ileal contents were collected for analysis. Results showed that LPS-induced immune stress decreased the abundance of IMPORTANCE: Our previous research indicated that CGA could effectively alleviate immune stress in broilers. However, it was unclear whether its antistress effects were achieved by altering the gut microbiota and metabolites in the ileum of immune-stressed broilers. In this study, CGA altered gut microbiota and metabolites associated with alleviating immune stress were provided, which will provide new insights into strategies to target gut microbiota and metabolites to relieve immune stress in broilers. These findings contribute to a better understanding of the mechanism of action of CGA on the attenuation of immune stress and provide new approaches to immune stress therapy by regulating gut microbiota and metabolites.

Indexed as

ChickensChlorogenic AcidGastrointestinal MicrobiomeIleumStress, PhysiologicalAnimal FeedAnimalsBacteriaDietary SupplementsLipopolysaccharidesChlorogenic AcidLipopolysaccharidesbroilerschlorogenic acidgut metabolitesgut microbiotaimmune stress

Identifiers

PMID40503877
PMCPMC12323345

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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.