Identification of biomarkers and pathogenesis in severe asthma by coexpression network analysis.

ABSTRACT:

Background

Severe asthma is a heterogeneous inflammatory disease. The increase in precise immunotherapy for severe asthmatics requires a greater understanding of molecular mechanisms and biomarkers. In this study, we aimed to identify the underlying mechanisms and hub genes that determine asthma severity.

Methods

Differentially expressed genes (DEGs) were identified based on bronchial epithelial brushings from mild and severe asthmatics. Then, weighted gene coexpression network analysis (WGCNA) was used to identify gene networks and the module most significantly associated with asthma severity. Furthermore, hub gene screening and functional enrichment analysis were performed. Replication with another dataset was conducted to validate the hub genes.

Results

DEGs from 1

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC7893911 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature