Effects of CPAP on the transcriptional signatures in patients with obstructive sleep apnea via coexpression network analysis.

ABSTRACT: A growing number of studies provide epidemiological evidence linking obstructive sleep apnea (OSA) with a number of chronic disorders. Transcriptional analyses have been conducted to analyze the gene expression data. However, the weighted gene coexpression network analysis (WGCNA) method has not been applied to determine the transcriptional consequence of continuous positive airway pressure (CPAP) therapy in patients with severe OSA. The aim of this study was to identify key pathways and genes in patients with OSA that are influenced by CPAP treatment and uncover/unveil potential molecular mechanisms using WGCNA. We analyzed the microarray data of OSA (GSE 49800) listed in the Gene Expression Omnibus database. Coexpression modules were constructed using WGCNA. In addition, Gene Ontology an

SUBMITTER: Peng J 

PROVIDER: S-EPMC6593761 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature