Evidence map›Paper›PMID 38912351›Full record

ArticleFrontiers in microbiology2024

Microbiome and metabolome analyses of milk and feces from dairy cows with healthy, subclinical, and clinical mastitis.

Chenglin Zhu, Yuxuan Zhao, Falong Yang, Qian Zhang, Xin Zhao, Zhibo Yang, Xiaofang Dao, Luca Laghi

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Chenglin ZhuCollege of Food Science and Technology, Southwest Minzu University, Chengdu, China.
Yuxuan ZhaoCollege of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu, China.
Falong YangCollege of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu, China.
Qian ZhangCollege of Food Science and Technology, Southwest Minzu University, Chengdu, China.
Xin ZhaoCollege of Food Science and Technology, Southwest Minzu University, Chengdu, China.
Zhibo YangCollege of Food Science and Technology, Southwest Minzu University, Chengdu, China.
Xiaofang DaoCollege of Food Science and Technology, Southwest Minzu University, Chengdu, China.
Luca LaghiDepartment of Agricultural and Food Sciences, University of Bologna, Cesena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastitis is commonly recognized as a localized inflammatory udder disease induced by the infiltration of exogenous pathogens. In the present study, our objective was to discern fecal and milk variations in both microbiota composition and metabolite profiles among three distinct groups of cows: healthy cows, cows with subclinical mastitis and cows with clinical mastitis. The fecal microbial community of cows with clinical mastitis was significantly less rich and diverse than the one harbored by healthy cows. In parallel, mastitis caused a strong disturbance in milk microbiota. Metabolomic profiles showed that eleven and twenty-eight molecules exhibited significant differences among the three groups in feces and milk, respectively. Similarly, to microbiota profile, milk metabolome was affected by mastitis more extensively than fecal metabolome, with particular reference to amino acids and sugars. Pathway analysis revealed that amino acids metabolism and energy metabolism could be considered as the main pathways altered by mastitis. These findings underscore the notable distinctions of fecal and milk samples among groups, from microbiome and metabolomic points of view. This observation stands to enhance our comprehension of mastitis in dairy cows.

Indexed as

dairy cowsfecesmastitismetabolomemicrobiomemilk

Identifiers

PMID38912351
PMCPMC11191547

What OpenQuestion holds

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Registered trials

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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.