Gene-Based Network Analysis Reveals Prognostic Biomarkers Implicated in Diabetic Tubulointerstitial Injury.

ABSTRACT:

Background

Diabetic nephropathy (DN), a significant cause of chronic kidney disease (CKD), is a devastating disease worldwide.

Objective

The aim of this study was to reveal crucial genes closely linked to the molecular mechanism of tubulointerstitial injury in DN.

Methods

The Gene Expression Omnibus (GEO) database was used to download the datasets. Based on this, a weighted gene coexpression network analysis (WGCNA) network was constructed to detect DN-related modules and hub genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichments were performed on the selected hub genes and modules. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was performed on the obtained gene signature.

Results

The WGCNA net

SUBMITTER: Wu S 

PROVIDER: S-EPMC9452978 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature