Investigation into Common Gene Signatures and Molecular Mechanisms Linking Aortic Dissection and Arteriosclerosis

Abstract

Abstract Aortic Dissection is a life-threatening vascular condition that occurs suddenly and is linked to various diseases. The primary objective of this research is to examine the overlapping genes and plausible molecular mechanisms associated with both aortic dissection and arteriosclerosis. From the GEO database, we obtained expression chip data GSE52093 and GSE28829, which are associated with aortic dissection (AD) and atherosclerosis (AS). By employing analysis of differential gene expression, we were able to identify the genes that are commonly shared by both diseases. Afterward, we utilized a PPI network and conducted a Cytoscape analysis, resulting in the identification of 9 central genes. Additionally, we performed a module-trait analysis using the GSE52093 and GSE28829 datasets, employing the WGCNA method, which led to the discovery of crucial genes linked to both conditions. The accuracy of the findings was confirmed through the utilization of independent datasets and real-time quantitative fluorescence PCR. Through PPI and WGCNA analysis of expression chip data GSE52093 and GSE28829 of AD and AS, we finally determined CNN1 and MYO1F as intersection genes. In RT-qPCR validation, the expression of CNN1 was consistent with our analysis results. Surprisingly, the expression of MYO1F did not show any statistically significant difference. However, the single-gene GSEA enrichment analysis revealed a noteworthy finding: CNN1 was significantly enriched in the CYTOSOLIC_DNA_SENSING_PATHWAY pathway for both AD and AS. Through this research, we have identified promising biomarker genes that are linked to both AD and AS diseases. Additionally, we have uncovered intricate molecular mechanisms and pathways associated with these conditions. These findings offer novel perspectives for advancing research and treatment approaches for both diseases.