Abstract P454: Screening of risk genes for carotid vulnerable plaque based on transcriptomics and experimental verification

Abstract

Purpose and background: This study aims to conduct an in-depth analysis of human carotid atherosclerotic plaques using transcriptomic data to elucidate the relationship between hypoxia-related genes and the stability of carotid artery plaques and explore their connection with immune infiltration. Methods: Four GEO datasets (GSE21545, GSE24495, GSE159677, and GSE189300) were used. Initially, gene expression data from carotid artery plaque samples in GSE21545 and GSE24495 were analyzed. Hypoxia-related gene sets were obtained from MSigDB, and the "HALLMARK_HYPOXIA" gene set was explicitly selected. GSEA software was used for ultimately selecting CDKN1C and HAS1 as characteristic genes. Subsequently, sample clustering analysis was conducted to determin the optimal number of clusters. Gene set enrichment and differential analysis were performed. Real-time quantitative polymerase chain reaction (RT-qPCR) and Western blotting experiments were conducted for preliminary validation of CDKN1C and HAS1 expression levels in ApoE knockout mice at 16 and 6 weeks. Subsequently, single-cell data from GSE159677 were processed to determine the differential localization of CDKN1C in carotid atherosclerotic plaques, with functional analysis conducted using GSE189300. Results: CDKN1C and HAS1 genes were found to exhibit differential expression in plaques and were correlated with hypoxia and immune scores. Clustering analysis revealed two main clusters, with patients in cluster A showing a higher risk of adverse events and a stronger association with immunity. Genes with a positive effect on atherosclerosis were highly expressed in poorer prognosis cluster A. Validation dataset GSE24495 also confirmed the grouping ability of CDKN1C and HAS1 genes, showing enrichment in atherosclerosis-related pathways. RT-qPCR and protein immunoblotting experiments demonstrated no significant differences in HAS1 expression levels, while CDKN1C showed lower protein expression in 16-week ApoE knockout mice compared to 6 weeks. Single-cell data from GSE159677 localized differential expression of CDKN1C in plaque cells. Finally, immunofluorescence validation confirmed the coexistence of CDKN1C and vascular smooth muscle cells. Conclusion: This study comprehensively analyzed transcriptomics data from carotid atherosclerotic plaques, revealing the significant roles of CDKN1C and HAS1 genes. Immunofluorescence validation further supported the crucial role of these genes in carotid atherosclerosis.