The Time Has Come to Explore Plasma Biomarkers in Genetic Cardiomyopathies

Nienke M Stege1, Rudolf A de Boer1, Maarten P van den Berg1

  • 1Department of Cardiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, AB43, 9713 GZ Groningen, The Netherlands.

Insights

Genetic cardiomyopathies like HCM, DCM, and ACM have clear genetic causes. Biomarker studies in these cohorts can improve early disease detection and treatment, distinguishing primary cardiac issues from secondary organ dysfunction.

Area of Science:

  • Cardiology
  • Genetics
  • Biomarker Discovery

Background:

  • Genetic cascade screening identifies mutation carriers in hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), and arrhythmogenic cardiomyopathy (ACM).
  • Predicting disease onset and severity in carriers remains challenging, hindering timely intervention.
  • Current monitoring relies on clinical symptoms, echocardiography (Echo), cardiac magnetic resonance imaging (CMR), and electrocardiograms (ECGs).

Purpose of the Study:

  • To explore the potential of established and novel plasma biomarkers for early disease detection in genetic cardiomyopathies.
  • To leverage cardiomyopathy cohorts for robust biomarker investigations.
  • To differentiate primary cardiac disease biomarkers from those related to secondary organ dysfunction.

Main Methods:

  • Review of established plasma biomarkers (natriuretic peptides, troponins).
  • Discussion of novel biomarkers, including cardiac autoantibodies.
  • Analysis of the utility of cardiomyopathy cohorts for biomarker studies.

Main Results:

  • Genetic cardiomyopathies offer a unique advantage for biomarker studies due to their defined genetic background.
  • Limited past investigations in cardiomyopathy cohorts have hindered biomarker discovery.
  • Established and novel biomarkers show promise in predicting disease onset and severity.

Conclusions:

  • Biomarker research in genetic cardiomyopathies is crucial for advancing early detection and personalized treatment.
  • Cardiomyopathy cohorts are valuable for distinguishing disease-specific biomarkers.
  • Further investigation is needed to fully gauge biomarker utility for heart failure prediction in these populations.

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