Exploring the role of lipid metabolism related genes and immune microenvironment in periodontitis by integrating machine learning and bioinformatics analysis.

ABSTRACT: Periodontitis is a common inflammatory disease affecting the tissues surrounding and supporting the teeth, ultimately leading to tooth loss if left untreated. This study aimed to investigate the diagnostic potential of lipid metabolism-related genes (LMRGs) and characterize the immune microenvironment landscape in periodontitis. Differential expression analysis identified differentially expressed LMRGs (DELMRGs), followed by functional enrichment analyses to elucidate their biological functions. Hub DELMRGs were identified using Random Forest, least absolute shrinkage and selection operator (LASSO) regression, and XGBoost. The diagnostic performance of these genes was assessed using receiver operating characteristic (ROC) curves. Immune cell infiltration and immune function status were ana

SUBMITTER: Wei L 

PROVIDER: S-EPMC12357905 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature