Identifying critical modules and biomarkers of intervertebral disc degeneration by using weighted gene co-expression network.

ABSTRACT:

Background

Intervertebral disc degeneration (IVDD) is an age-related orthopedic degenerative disease characterized by recurrent episodes of lower back pain, the pathogenesis of which is not fully understood. This study aimed to identify key biomarkers of IVDD and its causes.

Methods

We acquired three gene expression profiles from the Gene Expression Omnibus (GEO) database, GSE56081, GSE124272, and GSE153761, and used limma fast differential analysis to identify differentially expressed genes (DEGs) between normal and IVDD samples after removing batch effects. We applied weighted gene co-expression network (WGCNA) to identify the key modular genes in GSE124272 and intersected these with DEGs. Next, A protein-protein interaction network (PPI) was constructed, and Cytoscape was

SUBMITTER: Zhou D 

PROVIDER: S-EPMC11487274 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature