Finally, machine-learning models incorporating retinal Chlamydia pneumoniae, NLRP3, and CCasp3, alone and in combination with Aβ42, gliosis, and atrophy, demonstrate that integrating infection- and inflammasome-related signatures with canonical AD markers improves prediction of AD diagnosis, disease stage, brain gliosis, and cognitive dysfunction. Here, NLRP3 is linked to Alzheimer disease.