Cardiovascular disease biomarkers derived from circulating cell-free DNA methylation.
Rafael R C CuadratAdelheid KratzerHector Giral ArnalAnja C RathgeberKatarzyna WreczyckaAlexander BlumeIrem B GündüzVeronika EbenalTiina MaunoBrendan OsbergMinoo MoobedJohannes HartungKai JakobsClaudio SeppeltDenitsa MetevaArash HaghikiaDavid M LeistnerUlf LandmesserAltuna AkalinPublished in: NAR genomics and bioinformatics (2023)
Acute coronary syndrome (ACS) remains a major cause of worldwide mortality. The syndrome occurs when blood flow to the heart muscle is decreased or blocked, causing muscle tissues to die or malfunction. There are three main types of ACS: Non-ST-elevation myocardial infarction, ST-elevation myocardial infarction, and unstable angina. The treatment depends on the type of ACS, and this is decided by a combination of clinical findings, such as electrocardiogram and plasma biomarkers. Circulating cell-free DNA (ccfDNA) is proposed as an additional marker for ACS since the damaged tissues can release DNA to the bloodstream. We used ccfDNA methylation profiles for differentiating between the ACS types and provided computational tools to repeat similar analysis for other diseases. We leveraged cell type specificity of DNA methylation to deconvolute the ccfDNA cell types of origin and to find methylation-based biomarkers that stratify patients. We identified hundreds of methylation markers associated with ACS types and validated them in an independent cohort. Many such markers were associated with genes involved in cardiovascular conditions and inflammation. ccfDNA methylation showed promise as a non-invasive diagnostic for acute coronary events. These methods are not limited to acute events, and may be used for chronic cardiovascular diseases as well.
Keyphrases
- acute coronary syndrome
- percutaneous coronary intervention
- st elevation myocardial infarction
- dna methylation
- genome wide
- antiplatelet therapy
- cell free
- cardiovascular disease
- gene expression
- blood flow
- liver failure
- coronary artery disease
- drug induced
- end stage renal disease
- respiratory failure
- coronary artery
- cardiovascular events
- oxidative stress
- circulating tumor
- skeletal muscle
- single cell
- heart failure
- newly diagnosed
- type diabetes
- chronic kidney disease
- computed tomography
- ejection fraction
- magnetic resonance imaging
- escherichia coli
- intensive care unit
- machine learning
- magnetic resonance
- circulating tumor cells
- peritoneal dialysis
- left ventricular
- big data
- aortic dissection
- klebsiella pneumoniae
- single molecule
- case report
- gram negative
- multidrug resistant
- mesenchymal stem cells
- artificial intelligence
- cardiovascular risk factors
- hepatitis b virus
- data analysis
- structural basis