Evidence map›Paper›PMID 42511030›Full record

ArticleAnimals : an open access journal from MDPI2026

Integrated Rumen Metabolomics and Metagenomics Reveal Microbe-Metabolite Signatures Associated with Heat Tolerance in Dairy Cows.

Peng Chen, Can Liu, Shimeng Wang, Hao Zhang, Jiaxi Li, Niel A Karrow, Yongjiang Mao, Zhangping Yang, Mingxun Li

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

9 authors.

Peng ChenKey Laboratory of Animal Genetics & Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.ORCID 0009-0001-9868-0870
Can LiuKey Laboratory of Animal Genetics & Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Shimeng WangKey Laboratory of Animal Genetics & Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Hao ZhangKey Laboratory of Animal Genetics & Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Jiaxi LiKey Laboratory of Animal Genetics & Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Niel A KarrowCenter for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Yongjiang MaoKey Laboratory of Animal Genetics & Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Zhangping YangKey Laboratory of Animal Genetics & Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-5479-8447
Mingxun LiKey Laboratory of Animal Genetics & Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-0323-254X

Funding

National Key Research and Development Program of China 2022YFF1001200Natural Science Foundation of Jiangsu Province BK20241934
6 · The paper itself

Abstract

Heat stress impairs dairy cow productivity and rumen function, but rumen metabolic features associated with natural heat tolerance remain unclear. This study generated rumen fluid metabolomic data and integrated them with previously generated metagenomic abundance data from the same heat-tolerant (HT) and heat-sensitive (HS) Holstein cows selected from a cohort of 120 cows using an entropy-weighted TOPSIS model. Untargeted LC-MS identified 116 differential metabolites, including 66 enriched in HS cows and 50 enriched in HT cows. The HS cows showed higher levels of nucleotide-related metabolites, whereas HT cows were enriched in thiamine, L-malate, and argininosuccinic acid. Pathway enrichment mainly involved nucleotide metabolism, pyrimidine metabolism, pyruvate metabolism, and thiamine metabolism. Reanalysis of metagenomic data identified 12 differential microbial taxa, including HT-enriched

Indexed as

biomarkersdairy cowsheat stressmicrobe–metabolite interactionrumen metabolomics

Identifiers

PMID42511030
PMCPMC13405603

What Socratic holds

Textmetadata
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 Socratic graph.