Hyperlipidemia-associated specific modules and hub genes revealed by integrative methods of WGCNA and MetaDE.

ABSTRACT:

Background and objectives

This study aimed to screen the specific modules and hub genes of hyperlipidemia.

Methods

Three microarray datasets (GSE3059, GSE1010 and GSE13985) were obtained from the Gene Expression Omnibus database. Weighted Gene Co-expression Network Analysis (WGCNA) was used to screen stable gene modules across the three datasets. The MetaDE method was used to screen differentially expressed genes (DEGs) based on GSE1010 and GSE13985 datasets. The Cytoscape software was utilized for protein-protein interaction (PPI) network visualization, and the DAVID was employed to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis on the DEG nodes in the interaction network.

Results

Based on the WGCNA algorithm, eleven hyperlipidemia-

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC12726586 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature