Bioinformatics analysis and experimental validation of potential targets and pathways in chronic kidney disease associated with renal fibrosis.

ABSTRACT:

Background

Chronic kidney disease (CKD) has emerged as a major health problem worldwide. Previous studies have shown that specific miRNA expression profiles of patients with CKD are significantly changed. In this study, we aim to elucidate the role of miRNAs as potential biomarkers in CKD progression by integrating bioinformatics analysis with experimental validation, thereby providing medical evidence for the prevention and treatment of CKD.

Method

Bioinformatics analysis was used to identify potential targets and pathways in CKD-associated renal fibrosis through randomly obtaining miRNA microarray data related to CKD patients in the Gene Expression Omnibus (GEO) database according to the inclusion and exclusion criteria, conducting pathway enrichment analysis and construct

SUBMITTER: Huimin C 

PROVIDER: S-EPMC11967072 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature