This study explores the role of bioinformatics in creating an implementable predictive key gene in cardiorenal pathogenesis and evaluates the diagnostic potential of GTF2I, ANGPTL4, and MMP14 in predicting AKI in ACS patients. The gene discussed is GTF2I; the disease is acute kidney injury.