Using two machine learning algorithms, LASSO and random forest, the study identified five NET-related biomarkers in HF patients: CXCR2, FCGR3B, VNN3, FPR2, and MPO, and experimental verification confirmed that the expression of the first four of these genes was significantly elevated in heart failure mice. The gene discussed is FPR2; the disease is heart failure.