Evidence map›Paper›PMID 40635268›Full record

ArticleVirulence2025

Identification of fecal microbes as potential biomarkers for early diagnosis of fatty liver disease in cattle.

Haoming Sun, Tingjun Liu, Xuyang Song, Sadiq M S Shah, Qin Zhang, Kerong Shi

Abstract read
In one paragraph

Article in Virulence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Haoming SunCollege of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong, P. R. China.ORCID 0000-0001-9906-4394
Tingjun LiuCollege of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong, P. R. China.ORCID 0000-0002-2077-9651
Xuyang SongCollege of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong, P. R. China.ORCID 0000-0001-6345-6273
Sadiq M S ShahCollege of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong, P. R. China.
Qin ZhangCollege of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong, P. R. China.
Kerong ShiCollege of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong, P. R. China.ORCID 0000-0003-1966-7473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty liver disease is prevalent during parturition in dairy cattle. Therefore, there is an urgent need to develop novel, sensitive biomarkers for the early diagnosis of the metabolic disorders. Macroproteomics revealed that the faecal microbial community changes significantly when animal develops fatty liver disease. The microbial changes in cows with severe fatty liver (SFL) were greater than cows with moderate fatty liver (MFL) and normal condition (Norm). This suggests that microorganisms play an important role in the pathogenesis of metabolic disorders. In this study, faeces-sourced microorganisms and microbial proteins were identified and testified as novel biomarkers for the early diagnosis of fatty liver disease in cattle. For example, the AUC (area under curve) values, based on Receiver Operating Characteristics analysis, of using the combination of

Indexed as

Cattle DiseasesFatty LiverFecesNon-alcoholic Fatty Liver DiseaseAnimalsBiomarkersCattleEarly DiagnosisFemaleGastrointestinal MicrobiomeBiomarkersBifidobacterium pseudolongumdiagnosis biomarkerfatty liverLachnospiraceae bacteriummicrobiota

Identifiers

PMID40635268
PMCPMC12247111

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.