Based on three machine learning algorithms, we next evaluated immune-related DEGs between the two clusters and selected five important immune-related genes (CD48, CTSS, LYZ, ITGB2, and ISG20) to predict subtypes of CKD patients. The gene discussed is LYZ; the disease is chronic kidney disease.