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ABSTRACT: Background
Acute respiratory distress syndrome (ARDS) is a common cause of death in ICU patients and its underlying mechanism remains unclear, which leads to its high mortality rate. This study aimed to identify candidate genes potentially implicating in the pathogenesis of ARDS and provide novel therapeutic targets.Methods
Using bioinformatics tools, we searched for differentially expressed genes (DEGs) in an ARDS microarray dataset downloaded from the Gene Expression Omnibus (GEO) database. Afterwards, functional enrichment analysis of GO, KEGG, GSEA and WGCNA were carried out to investigate the potential involvement of these DEGs. Moreover, the Protein-protein interaction (PPI) network was constructed and molecular complexes and hub genes were identified, followed by pro
SUBMITTER: Mao Y
PROVIDER: S-EPMC8555499 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature