Screening of the Key Genes and Signalling Pathways for Diabetic Nephropathy Using Bioinformatics Analysis.

ABSTRACT:

Background

This study aimed to identify biological markers for diabetic nephropathy (DN) and explore their underlying mechanisms.

Methods

Four datasets, GSE30528, GSE47183, GSE104948, and GSE96804, were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified using the "limma" package, and the "RobustRankAggreg" package was used to screen the overlapping DEGs. The hub genes were identified using cytoHubba of Cytoscape. Logistic regression analysis was used to further analyse the hub genes, followed by receiver operating characteristic (ROC) curve analysis to predict the diagnostic effectiveness of the hub genes. Correlation analysis and enrichment analysis of the hub genes were performed to identify the potential f

SUBMITTER: Li Z 

PROVIDER: S-EPMC9340545 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature