Inflammation-related 5-hydroxymethylation signatures as markers for clinical presentations of coronary artery disease.

ABSTRACT:

Background

Coronary angiography remains the gold standard for diagnosing coronary artery disease (CAD), but its invasive nature limits its applicability for widespread screening. Identifying non-invasive molecular markers could improve CAD classification and risk assessment.

Methods

We employed 5hmC-Seal technology to generate genome-wide 5-hydroxymethylcytosine (5hmC) profiles from plasma cell-free DNA (cfDNA) in 724 CAD patients, stratified into stable CAD (sCAD), non-ST-elevation myocardial infarction (NSTEMI), and ST-elevation myocardial infarction (STEMI) groups. Using machine learning algorithms, we identified inflammation-related 5hmC modifications associated with disease severity and constructed a classification model based on key hydroxymethylated markers. The model

SUBMITTER: Xu J 

PROVIDER: S-EPMC12183871 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature