Additionally, we discovered five distinct immune microenvironment-related genes (CXCR4, PPP3R1, HSP90AB1, CXCL10, and S100A12) that, when combined with interpretable machine learning methods, could successfully forecast the development of AD. This evidence concerns the gene S100A12 and Alzheimer disease.