The Prediction of Atherosclerosis Progression by Diagnostic Gene Biomarkers Associated with Immune Infiltration of via Integrated Multi-array Data Analysis
YOU Hongjun
DONG Mengya
CHANG Fengjun
GOU Qiling
HAN Wenqi
Abstract：Objective:To identify the potential genes involved in the progression of atherosclerosis and explore the association between genes and immune cell infiltration.Methods:Two transcriptome profiles(GSE28829 and GSE41571)were analyzed using R packages for differential gene expression,gene ontology,pathway and disease ontology enrichment,protein-protein interaction,and candidate biomarker selection.The expression levels of candidate biomarkers were verified in a validation dataset,and the compositional patterns of immune cell fractions were calculated using CIBERSORT.The correlation analysis between diagnostic gene biomarkers and infiltrating immune cells was performed using Spearman's rank correlation analysis.Results:A total of 15 genes were determined as diagnostic gene biomarkers of advanced arteriosclerotic plaques.According to correlation analysis with immune infiltration,C1QA,C1QB,C1QC,LY86,CD14 and HCK were identified as hub genes,which were positively correlated with macrophage M2 and negatively correlated with CD8+T cell and activated dendritic cell.Conclusion:C1QA,C1QB,C1QC,LY86,CD14 and HCK were determined as hub genes which were identified to regulate immune-competent cells.These findings reveal light on the genes associated with immune cells in the progression of atherosclerosis and may aid the development of new treatments and medications.
Keywords：atherosclerosisprogressiondiagnostic gene biomarkersimmune infiltrationbioinformatics
Publication Date：2026-03-10
Online Publishing Date：2026-03-24(First online date of this platform, not the publication date of the document)
Pages：12( 641-652 )