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The Time Has Come to Explore Plasma Biomarkers in Genetic Cardiomyopathies

期刊

出版社

MDPI
DOI: 10.3390/ijms22062955

关键词

plasma biomarkers; genetic cardiomyopathy; early detection; noncoding RNA; cardiac autoantibodies; HCM; DCM; ACM

资金

  1. Ubbo Emmius Fund
  2. Leducq Foundation (CUREPLaN)
  3. PLN Foundation
  4. Netherlands Cardiovascular Research Initiative
  5. Dutch Heart Foundation (CVON DOSIS grant) [2014-40]
  6. Dutch Heart Foundation (CVON e-DETECT grant) [2015-12]
  7. Dutch Heart Foundation (CVON DOUBLE DOSE grant ) [2020B005]
  8. Dutch Heart Foundation (CVON SHE-PREDICTS-HF grant) [2017-21]
  9. Dutch Heart Foundation (CVON RED-CVD grant) [2017-11]
  10. Dutch Heart Foundation (CVON PREDICT2 grant) [2018-30]
  11. European Research Council [ERC CoG 818715]

向作者/读者索取更多资源

Screening for pathogenic variants has become common practice for patients with genetic cardiomyopathies, allowing early detection of disease onset. Monitoring relies on a combination of plasma biomarkers, imaging techniques, and electrocardiography. Further research is needed to explore the potential of biomarkers in distinguishing primary cardiac disease from secondary organ dysfunction.
For patients with hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM) or arrhythmogenic cardiomyopathy (ACM), screening for pathogenic variants has become standard clinical practice. Genetic cascade screening also allows the identification of relatives that carry the same mutation as the proband, but disease onset and severity in mutation carriers often remains uncertain. Early detection of disease onset may allow timely treatment before irreversible changes are present. Although plasma biomarkers may aid in the prediction of disease onset, monitoring relies predominantly on identifying early clinical symptoms, on imaging techniques like echocardiography (Echo) and cardiac magnetic resonance imaging (CMR), and on (ambulatory) electrocardiography (electrocardiograms (ECGs)). In contrast to most other cardiac diseases, which are explained by a combination of risk factors and comorbidities, genetic cardiomyopathies have a clear primary genetically defined cardiac background. Cardiomyopathy cohorts could therefore have excellent value in biomarker studies and in distinguishing biomarkers related to the primary cardiac disease from those related to extracardiac, secondary organ dysfunction. Despite this advantage, biomarker investigations in cardiomyopathies are still limited, most likely due to the limited number of carriers in the past. Here, we discuss not only the potential use of established plasma biomarkers, including natriuretic peptides and troponins, but also the use of novel biomarkers, such as cardiac autoantibodies in genetic cardiomyopathy, and discuss how we can gauge biomarker studies in cardiomyopathy cohorts for heart failure at large.

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