Abstract / Description
Globally, myocardial infarction (MI) remains a major cause of morbidity and mortality. Macrophage-mediated inflammation and ferroptosis-related stress responses have both been implicated in MI; however, transcriptomic identification of macrophage- and ferroptosis-related candidate genes requires rigorous control of false-positive findings. In this revised study, two peripheral blood transcriptomic datasets, GSE29532 and GSE48060, were integrated after probe annotation, independent normalization, merging based on common genes, and ComBat batch correction. Batch-correction quality was evaluated using both visualization and quantitative metrics. Differential expression analysis was performed using the limma package with adj.P.Val