Evidence map›Paper›PMID 39526504›Full record

ArticleAdipocyte2024

Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis.

Shaomin Shi, Ke Ding, Feng Chen, Mei Yang, Lihua Ni, Xiaoyan Wu

Abstract read
In one paragraph

Article in Adipocyte, 2024. 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

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shaomin ShiXiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Ke DingXiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Feng ChenDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Donghu Road, Wuhan, Hubei, China.
Mei YangXiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Lihua NiDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Donghu Road, Wuhan, Hubei, China.
Xiaoyan WuDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Donghu Road, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) and obesity bring a huge burden to society. Obesity plays a crucial role in the progression of type 2 DN, but the pathophysiology remains unclear. Thus, we aimed the explore the association between type 2 DN and obesity using bioinformatics method. The gene expression profiles of type 2 DN (GSE96804) and obesity (GSE94752) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened with the thresholds defined as |log2FC| ≥1 and P<0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Subsequently, a protein-protein interaction network was constructed based on the STRING database. Hub genes were identified, and the co-expression network was constructed. Finally, the hub genes were verified in clinical samples of 24 patients by immunohistochemistry. A total of 17 common DEGs were identified. Finally, two overlapping hub genes were identified (CCL18, C1QC). C1QC has been verified in clinical specimens. Using bioinformatics methods, the present study analyzed the common DEGs and the potential pathogenic mechanisms involved in type 2 DN and obesity. C1QC was the hub gene. Further studies are needed to clarify the specific relationships among C1QC, type 2 DN and obesity.

Indexed as

Computational BiologyDiabetes Mellitus, Type 2Diabetic NephropathiesGene Expression ProfilingObesityProtein Interaction MapsDatabases, GeneticGene OntologyGene Regulatory NetworksHumansTranscriptomebioinformaticsDiabetic nephropathydifferentially expressed geneshub genesobesity

Identifiers

PMID39526504
PMCPMC11556279

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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.