Predicting the Key Genes Involved in Aortic Valve Calcification Through Integrated Bioinformatics Analysis

• DOI: 10.3389/fgene.2021.650213
• Publication Date: 2021-05-11T08:00:55Z
• Authors: Dinghui Wang; Tianhua Xiong; Wenlong Yu; Bin Liu; Jing Wang; Kaihu Xiao; Qiang She
• Keywords: KEGG; CXCL5; CCL18; CXCL1; CCR2

Background: Valvular heart disease is obtaining growing attention in the cardiovascular field and it believed that calcific aortic valve (CAVD) most common valvular (VHD) world. CAVD does not have a fully effective treatment to delay its progression specific molecular mechanism of calcification remains unclear. Materials Methods: We obtained gene expression datasets GSE12644 GSE51472 from public comprehensive free database GEO. Then, series bioinformatics methods, such as GO KEGG analysis, STING online tool, Cytoscape software, were used identify differentially expressed genes healthy controls, construct PPI network, then key genes. In addition, immune infiltration analysis was via CIBERSORT observe various cells CAVD. Results: A total 144 differential identified samples comparison with control samples, including 49 up-regulated 95 down-regulated DEGs observably enriched response, signal transduction, inflammatory proteolysis, innate apoptotic process. The revealed enrichment remarkably observed chemokine signaling pathway, cytokine-cytokine receptor interaction, PI3K-Akt pathway. Chemokines CXCL13, CCL19, CCL8, CXCL8, CXCL16, MMP9, CCL18, CXCL5, VCAM1, PPBP hub It macrophages accounted for maximal proportion among these cells. M0, B memory, Plasma higher valves than valves, however, naïve, NK activated, M2 lower. Conclusion: detected chemokines CCL18 are important markers disease. regulatory plasma cells, probably related occurrence advancement stenosis. These may interact subtle adjustment relationship development