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Blood-Based DNA Methylation Biomarkers to Identify Risk and Progression of Cardiovascular Disease
Tarryn Willmer1,2,3, Lawrence Mabasa1,2, Jyoti Sharma1
1Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.
Epigenetic changes like DNA methylation may signal early cardiovascular disease (CVD) risk. Blood-based epigenetic markers show promise for early CVD detection and predicting treatment response in individuals.
Area of Science:
- Biomedical Science
- Genetics
- Molecular Biology
Background:
- Non-communicable diseases (NCDs) are the leading global cause of mortality, with cardiovascular diseases (CVD) responsible for 50% of NCD deaths.
- CVD onset can precede clinical symptoms, necessitating research into underlying molecular changes for early intervention.
- Epigenetic modifications, particularly DNA methylation, act as crucial links between genetic, environmental, and disease phenotypes.
Purpose of the Study:
- To review current literature on blood-based DNA methylation alterations and their association with CVD in humans.
- To identify promising differentially methylated genes as potential diagnostic and prognostic biomarkers for CVD.
- To discuss limitations and future directions for DNA methylation research in CVD.
Main Methods:
- Literature review of studies investigating DNA methylation and CVD.
- Analysis of differentially methylated genes implicated in CVD pathogenesis.
- Synthesis of findings regarding the role of DNA methylation in early CVD events.
Main Results:
- Numerous studies implicate DNA methylation in the early stages of CVD development.
- Specific differentially methylated genes show potential as blood-based biomarkers for CVD diagnosis and prognosis.
- Epigenetic screening in asymptomatic individuals may aid early CVD detection and treatment response prediction.
Conclusions:
- Blood-based DNA methylation alterations are increasingly recognized as important in CVD pathogenesis.
- Further research and replication in diverse populations are needed to validate CVD biomarker candidates.
- Addressing methodological limitations is crucial for advancing DNA methylation-based CVD diagnostics and therapeutics.
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