Identification of candidate genes and molecular mechanisms related to asthma progression using bioinformatics.

ABSTRACT:

Background

Asthma is a heterogeneous disorder. This study aimed to identify changes in gene expression and molecular mechanisms associated with moderate to severe asthma.

Methods

Differentially expressed genes (DEGs) were analyzed in GSE69683 dataset among moderate asthma and its controls as well as between severe asthma and moderate asthma. Key module genes were identified via co-expression analysis, and the molecular mechanism of the module genes was explored through enrichment analysis and gene set enrichment analysis (GSEA). GSE89809 was used to verify the characteristic genes related to moderate and severe asthma.

Results

Accordingly, 2540 DEGs were present between moderate asthma and the control group, while 6781 DEGs existed between severe asthma and moderate a

SUBMITTER: Zou S 

PROVIDER: S-EPMC11450000 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature