Shared pathogenic genes and therapeutic targets in periodontitis and systemic juvenile idiopathic arthritis: An integrative bioinformatics and machine learning study.

Shared genetic and immunological pathways in periodontitis and sJIA reveal SELP as a key diagnostic biomarker with over 0.8 AUC performance.

• Why it matters: Understanding common molecular mechanisms can improve diagnosis and treatment strategies for these chronic inflammatory diseases, which often co-occur and share inflammatory pathways.
• What they did: The study analyzed gene expression data from 175 models using bioinformatics, machine learning, and molecular docking to identify shared genes, immune features, and potential therapeutic targets.
• The result: Six core diagnostic genes were identified, with SELP showing the strongest predictive value, and molecular docking confirmed promising drug-target interactions, advancing potential cross-disease therapies.