Identification of IL1R1 as a potential key PANoptosis-related gene in myocardial ischemia-reperfusion injury using machine learning.

ABSTRACT: Myocardial ischemia-reperfusion injury (MIRI) involves multifaceted pathogenic mechanisms, including inflammatory responses, immune dysregulation, and emerging forms of programmed cell death such as PANoptosis. However, the precise regulatory genes linking PANoptosis to MIRI remain largely unexplored. Transcriptomic data from public MIRI datasets were analyzed to identify PANoptosis-related genes. Key genes were screened via univariate logistic regression and three machine learning algorithms (LASSO, SVM-RFE, and Random Forest). The top candidate was evaluated through ROC analysis, GSEA, immune infiltration profiling, and drug prediction. Experimental validation was performed using both OGD/R cell models and a murine MIRI mode. Five DPRGs were identified, of which IL1R1 was consistently se

SUBMITTER: Peng S 

PROVIDER: S-EPMC12635075 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature