Integrative bioinformatics analysis identifies APOB as a critical biomarker in coronary in-stent restenosis

Area of Science:

• Cardiovascular Medicine
• Genetics
• Biomarker Discovery

Background:

• Coronary artery disease (CAD) is a leading cause of global cardiovascular mortality.
• In-stent restenosis (ISR) frequently complicates CAD treatment, leading to stent failure and repeat interventions.
• Effective management of ISR remains a significant challenge in cardiovascular care.

Purpose of the Study:

• To identify key hub genes associated with in-stent restenosis (ISR) in coronary artery disease (CAD).
• To determine the potential of identified genes as predictive biomarkers for ISR.
• To validate the clinical relevance of candidate genes in ISR detection.

Main Methods:

• Utilized Gene Expression Omnibus (GEO) databases for CAD gene expression data.
• Employed weighted gene coexpression network analysis (WGCNA) to identify hub genes.
• Performed correlation analysis and clinical validation for identified risk genes.

Main Results:

• The gene *APOB* (Apolipoprotein B) was identified as a significant risk gene for ISR.
• *APOB* expression showed a positive correlation with ISR occurrence.
• Clinical validation confirmed *APOB*'s predictive value in detecting ISR.

Conclusions:

• *APOB* has been identified as a critical predictive biomarker for ISR in patients with CAD.
• This discovery provides a potential tool for early detection and management of ISR.
• Targeting *APOB* may offer new therapeutic strategies for preventing stent restenosis.