State-Dependent DNA Methylation Signatures Distinguish Acute from Stable Coronary Syndromes
Işık Tekin, Alten Oskay, Tülay Oskay, Murat Seyit, Mert Özen, Atakan Yılmaz, Yasemin Berberoğlu, Abdo A. Elfiky, Gergana Lengerova, Martina Bozhkova, Steliyan Petrov, İbrahim Türkçüer, Aylin Köseler

TL;DR
DNA methylation patterns differ between acute and stable coronary syndromes, offering potential molecular markers for disease states.
Contribution
Identification of state-dependent DNA methylation signatures that distinguish acute from stable coronary syndromes.
Findings
ACS shows more pronounced methylation changes compared to controls, while SCS shows moderate changes.
ACS is associated with stress response and apoptotic pathways, whereas SCS is linked to vascular signaling.
Epigenetic profiles clearly separate ACS, SCS, and healthy controls via unsupervised clustering.
Abstract
Coronary artery disease presents heterogeneous clinical manifestations ranging from stable coronary syndrome (SCS) to acute coronary syndrome (ACS). Epigenetic mechanisms, particularly DNA methylation, may contribute to both chronic disease progression and acute plaque destabilization. However, genome-wide methylation differences between ACS, SCS, and healthy individuals remain incompletely characterized. Genome-wide DNA methylation analysis was performed in patients with ACS, patients with SCS, and healthy controls using pairwise comparisons (ACS vs. control, SCS vs. control, and ACS vs. SCS). Differentially methylated regions were identified using logistic regression implemented in the methylKit package in R. Regions with a false discovery rate-adjusted q-value < 0.05 and an absolute methylation difference (|Δβ|) > 20% were considered significant. Unsupervised hierarchical clustering…
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Taxonomy
TopicsEpigenetics and DNA Methylation · Congenital heart defects research · Kruppel-like factors research
