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Global and regional DNA methylation patterns in heart failure: a case-control analysis
Mykhailo Krolevets1, Vincent Ten Cate2, Jürgen H Prochaska3
1Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center of the Johannes Gutenberg University, Langenbeckstr. 1, Mainz 55131, Germany; Institute of Molecular Biology (IMB), Mainz 55128, Germany; Systems Medicine, Institute of Molecular Biology (IMB), Ackermannweg 4, Mainz 55128, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine Main, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Heart failure (HF) is linked to accelerated epigenetic aging, with individuals showing an average increase of 19 years in biological age. DNA methylation patterns globally and regionally are key features of HF presence, severity, and outcomes.
Area of Science:
- Epigenetics
- Cardiovascular Disease Research
- Genomics
Background:
- Heart failure (HF) is a complex syndrome with unclear links to DNA methylation (DNAm) and epigenetic aging.
- Understanding these epigenetic changes is crucial for identifying HF phenotypes and progression.
Purpose of the Study:
- To investigate global and regional DNAm patterns in individuals with and without HF.
- To assess epigenetic aging using methylation clocks (GrimAge and Hannum) in relation to HF.
- To determine the association of DNAm patterns and epigenetic age with HF severity and mortality.
Main Methods:
- Analysis of DNAm using the Illumina MethylationEPIC assay in 2155 individuals from the MyoVasc and Gutenberg Health Studies.
- Calculation of epigenetic age using GrimAge and Hannum methylation clocks.
- Statistical analysis of global and regional DNAm patterns, including CpG sites, shores, and islands.
Main Results:
- HF was associated with an average increase of 19 years in epigenetic age.
- A global decrease in methylation was observed in HF patients (OR: 1.33).
- Epigenetic clocks strongly predicted HF worsening and mortality; methylation differences were most pronounced in genomic shores.
Conclusions:
- Accelerated aging and distinct DNAm patterns are key features of HF, influencing its presence, severity, and consequences.
- HF-related methylation patterns vary across chromosomes and genomic regions.
- CpG islands show a weaker association with HF status but may have a regulatory role.
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