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Updated: Nov 10, 2025

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
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.
Abstract:
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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