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ABSTRACT: Objective
Aortic stenosis (AS) is a critical risk factor for the development of structural heart disease, and identifying its pathogenic genes will provide new insights into cardiac pathology and treatment.Methods
"edgeR" was used to calculate differentially expressed genes (DEGs) for bulk-RNAseq. GO, KEGG, and GSEA analyses were performed on the DEGs. Aortic valves from 8 AS patients and 8 non-AS patients were collected for proteomic sequencing. After DEG analysis, five algorithms were used to identify hub genes. ROC curves were constructed for the hub genes. Single-cell RNA sequencing (scRNAseq) was applied to systematically elaborate the mechanism in AS pathogenesis.Results
Transcriptome data showed that AS was accompanied by high expression of genes such as MMP9
SUBMITTER: Wang FX
PROVIDER: S-EPMC12660111 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature