Copper metabolism-related biomarkers and therapeutic targets for diabetic nephropathy.

ABSTRACT:

Background

Diabetic nephropathy (DN) is the most intractable complication of diabetes. Despite decades of research, accurate diagnostic markers and effective therapeutic drugs are still elusive. Abnormal copper metabolism is also implicated in diabetes and its complications. This study aims to identify copper metabolism-related biomarkers and potential drugs for DN.

Methods

DN datasets and copper metabolism-related genes (CMGs) were obtained from Gene Expression Omnibus (GEO) and GeneCards. Differentially expressed CMGs (DE-CMGs) were identified using the limma package and the Venn algorithm. Functional enrichment analysis and protein-protein interaction (PPI) network were performed to identify candidate hub genes. The single gene with an area under the receiver operating ch

SUBMITTER: Yan Q 

PROVIDER: S-EPMC12721120 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature