• Man Yao, Yaping Sun, Xiangdong Xu, Chunya Zhang, Hongsong Li, and Xiao Han.
• Department of Cardiology, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China.
• J Coll Physicians Surg Pak. 2023 Dec 1; 33 (12): 134413481344-1348.

ObjectiveTo investigate the potential treatments for aortic stenosis and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using bioinformatics and systems biology.Study DesignObservational study. Place and Duration of the Study: Jiading District Central Hospital affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China, from August to December 2022.MethodologyGSE147507 was chosen as the SARS-CoV-2 infection dataset from the Biotechnology Information (NCBI) GEO database, while GSE153555 was chosen as the dataset of patients with aortic stenosis (AS). This analysis predicted protein-drug interactions (PDIs) and found therapeutic compounds for AS and COVID-19.ResultsOne hundred and four DEGs were shared between the two datasets. Researchers built a PPI network to identify 10 hub genes from the network. Researchers discovered that COVID-19 and AS shared certain pathogenic pathways and found a relationship between hub genes and transcription factors and miRNAs, as well as a connection between hub genes and proposed treatments.ConclusionHub genes were identified as potential pathogenic pathways in SARS-CoV-2 infection and AS. In addition, new prescription medication options for treating both illnesses were provided.Key WordsSARS-CoV-2 infection, COVID-19, Aortic stenosis, Differentially expressed genes, Hub genes, Gene-disease, Drug molecule.

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