Multi-omics integration to identify immune-associated biomarkers and potential therapeutics in periodontitis.

ABSTRACT:

Background

Periodontitis, a chronic inflammatory disease of periodontal tissues, is linked to immune response and epigenetic modifications, with DNA methylation playing a crucial role. This study integrates transcriptomic and DNA methylation profiles from periodontitis patients to explore the immune microenvironment and identify potential biomarkers and therapeutic targets.

Methods

Transcriptomic and methylation profiles from 24 periodontitis patients were analyzed to evaluate the immune microenvironment and identify related abnormal genes. WGCNA was used to identify immune cell-associated genes. Subsequently, machine learning algorithms identified diagnostic biomarkers for periodontitis, which then validated in two cohorts with 247 and 310 periodontitis patients, respective

SUBMITTER: Jin L 

PROVIDER: S-EPMC12549644 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature