Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity.

ABSTRACT:

Background

The present study attempted to identify potential key genes and miRNAs of dyslipidemia in obese, and to investigate the possible mechanisms associated with them.

Methods

The microarray data of GSE66676 were downloaded, including 67 obese samples from the Gene Expression Omnibus (GEO) database. The weighted gene co-expression network (WGCNA) analysis was performed using WGCNA package and grey60 module was considered as the highest correlation. Gene Ontology annotation and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for this module were performed by clusterProfiler and DOSE package. A protein-protein interaction (PPI) network was established using Cytoscape software, and significant modules were analyzed using molecular complex det

SUBMITTER: Miao L 

PROVIDER: S-EPMC6332685 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature