Integrative Transcriptomic and Machine Learning Analysis Identifies Key Senescence-Associated Secretory Phenotype Genes Associated With Immune Dysregulation in Periodontitis.

ABSTRACT: Periodontitis (PD) is a chronic inflammatory disorder marked by immune dysregulation and progressive tissue destruction. Cellular senescence and the senescence-associated secretory phenotype (SASP) have been increasingly recognized as pivotal drivers of chronic inflammation. However, their specific contributions to PD remain insufficiently clarified. In this study, integrative bioinformatic analyses were conducted across transcriptomic datasets, employing least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and eXtreme gradient boosting algorithms to identify SASP-related genes of significance. ICAM1, CXCL12, and MMP3 were found to be markedly upregulated in PD and demonstrated strong diagnostic potential through receiver operating characte

SUBMITTER: Zeng J 

PROVIDER: S-EPMC12688647 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature