Ontology highlight
ABSTRACT: Background
Calcium oxalate (CaOx) kidney stones are the most common type of stones in the urinary system, and their formation involves a complex mechanism with multiple contributing factors. In recent years, with the development of bioinformatics, there has been a deeper understanding of the pathogenesis of this type of disease. This study aimed to analyze the gene expression profiles of idiopathic kidney stones composed of CaOx using bioinformatics methods. By investigating the pathogenesis at the molecular level and identifying potential therapeutic targets, the study also integrated clinical data to validate the clinical relevance of the target genes.Methods
Gene expression profiles from the GSE73680 dataset were analyzed via the Gene Expression Omnibus (GEO) database to
SUBMITTER: Li J
PROVIDER: S-EPMC11399045 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature