Identification of Hub Genes Associated with COPD Through Integrated Bioinformatics Analysis.

ABSTRACT:

Purpose

Smoking is recognized as a risk factor for Chronic Obstructive Pulmonary Disease (COPD), yet only 20-25% of smokers eventually develop COPD. Since its molecular pathogenesis remains unclear, there is an important need to further understand genetic differences between smokers with COPD and healthy smokers, screen out high-risk and susceptible groups among smokers, and find effective therapeutic targets.

Methods

Bioinformatics tools were used to screen biomarkers that were significantly associated with COPD smokers and healthy smokers. qRT-PCR and Western blotting analysis were used to detect hub gene expression in CSE-treated BEAS-2B cells and lung tissue of COPD mouse models.

Results

Our study identified 132 DEGs. The GO and KEGG analyses suggested that the EC

SUBMITTER: Chen L 

PROVIDER: S-EPMC8901430 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature