Evidence map›Paper›PMID 38832038›Full record

ArticlePeerJ2024

Identification of potential obese-specific biomarkers and pathways associated with abdominal subcutaneous fat deposition in pig using a comprehensive bioinformatics strategy.

Yongli Yang, Xiaoyi Wang, Mingli Li, Shuyan Wang, Huiyu Wang, Qiang Chen, Shaoxiong Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2024. 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

7 authors.

Yongli Yang *Faculty of Animal Science and Technology, Yunnan Agricuture University, Kunming, China.
Xiaoyi Wang *Faculty of Animal Science and Technology, Yunnan Agricuture University, Kunming, China.
Mingli LiFaculty of Animal Science and Technology, Yunnan Agricuture University, Kunming, China.
Shuyan WangFaculty of Animal Science and Technology, Yunnan Agricuture University, Kunming, China.ORCID 0000-0003-0380-5798
Huiyu WangFaculty of Animal Science and Technology, Yunnan Agricuture University, Kunming, China.
Qiang ChenFaculty of Animal Science and Technology, Yunnan Agricuture University, Kunming, China.
Shaoxiong LuFaculty of Animal Science and Technology, Yunnan Agricuture University, Kunming, China.

Funding

National Key Research and Development Program of ChinaYunnan Province Important National Science & Technology Specific ProjectsYunnan Swine Industry Technology System Program
6 · The paper itself

Abstract

Abdominal subcutaneous fat deposition (ASFD) is not only related to meat quality in the pig industry but also to human health in medicine. It is of great value to elucidate the potential molecular mechanisms of ASFD. The present study aims to identify obese-specific biomarkers and key pathways correlated with ASFD in pigs. The ASF-related mRNA expression dataset GSE136754 was retrieved from the Gene Expression Omnibus (GEO) database and systematically analyzed using a comprehensive bioinformatics method. A total of 565 differentially expressed genes (DEGs) were identified between three obese and three lean pigs, and these DEGs were mainly involved in the p53 signaling pathway, MAPK signaling pathway and fatty acid metabolism. A protein-protein interaction (PPI) network, consisting of 540 nodes and 1,065 edges, was constructed, and the top ten genes with the highest degree scores-

Indexed as

BiomarkersComputational BiologyObesitySubcutaneous Fat, AbdominalAnimalsGene Expression ProfilingGene Regulatory NetworksProtein Interaction MapsSignal TransductionSwineBiomarkersAbdominal subcutaneous fat depositionBiomarkersHub geneKey pathwayPig

Identifiers

PMID38832038
PMCPMC11146330

What OpenQuestion holds

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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 OpenQuestion graph.