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

ABSTRACT: Background: Valvular heart disease is obtaining growing attention in the cardiovascular field and it is believed that calcific aortic valve disease (CAVD) is the most common valvular heart disease (VHD) in the world. CAVD does not have a fully effective treatment to delay its progression and the specific molecular mechanism of aortic valve calcification remains unclear. Materials and Methods: We obtained the gene expression datasets GSE12644 and GSE51472 from the public comprehensive free database GEO. Then, a series of bioinformatics methods, such as GO and KEGG analysis, STING online tool, Cytoscape software, were used to identify differentially expressed genes in CAVD and healthy controls, construct a PPI network, and then identify key genes. In addition, immune infiltrati

SUBMITTER: Wang D 

PROVIDER: S-EPMC8144713 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature