Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm

Area of Science:

• Genomics
• Bioinformatics
• Vascular Biology

Background:

• Intracranial aneurysms (IAs) are common and deadly, with limited options for rupture prevention.
• Understanding the molecular mechanisms of IA rupture is crucial for developing targeted therapies.

Purpose of the Study:

• To explore the molecular mechanisms and identify potential therapeutic targets for intracranial aneurysm rupture using bioinformatics.
• To identify key genes associated with IA rupture and evaluate their diagnostic value.

Main Methods:

• Downloaded gene expression data from GSE13353, GSE122897, and GSE15629.
• Identified differentially expressed genes (DEGs) and constructed protein-protein interaction (PPI) networks.
• Utilized LASSO regression, SVM-RFE, and PPI analysis to identify key genes, validated with ROC analysis.

Main Results:

• Identified 334 DEGs, enriched in inflammation and immune response pathways.
• Discovered two key genes, IL-10 and Integrin α5 (ITGA5), with high diagnostic value (AUCs 0.801 and 0.786).
• Found IL-10 and ITGA5 positively correlated with macrophages and Treg cells; ruptured IA group showed higher immune and ESTIMATE scores.

Conclusions:

• IL-10 and ITGA5 may contribute to IA rupture by promoting vascular inflammation and immune cell infiltration.
• Targeting IL-10 and ITGA5 could offer novel therapeutic strategies for preventing IA rupture.