Integrated bioinformatics analysis and in vivo validation of potential immune-related genes linked to diabetic nephropathy.

ABSTRACT:

Background

Diabetic nephropathy (DN) is a common microvascular complication of diabetes mellitus and the main cause of chronic renal failure. This study explored the potential immunomodulation-related genes (IRGs) in DN using bioinformatics.

Methods

IRGs were identified using GeneCards, and differentially expressed genes were identified using the GSE99339, GSE96804, and GSE30122 datasets. We conducted enrichment analyses using Gene Ontology, gene set enrichment analysis (GSEA), and Kyoto Encyclopedia of Genes and Genomes to identify the associated signaling pathways. Prognostic models were constructed using Least Absolute Shrinkage and Selection Operator regression. The predictive power of IRGs was evaluated using receiver operating characteristic (ROC) curves. Furthermore,

SUBMITTER: Deng J 

PROVIDER: S-EPMC11582746 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature