Through the integration of core interacting proteins and a Random Forest algorithm, seven potential biomarkers for IDD and DM were identified, including PRTN3, TCN1, LRRK2, MNDA, CAMP, PHC2, and LMNB1. Here, PHC2 is linked to diabetes mellitus.