Literature DB >> 33799487

The Time Has Come to Explore Plasma Biomarkers in Genetic Cardiomyopathies.

Nienke M Stege1, Rudolf A de Boer1, Maarten P van den Berg1, Herman H W Silljé1.   

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.

Entities:  

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

Year:  2021        PMID: 33799487      PMCID: PMC7998409          DOI: 10.3390/ijms22062955

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  4 in total

1.  Metabolite Signature in the Carriers of Pathogenic Genetic Variants for Cardiomyopathy: A Population-Based METSIM Study.

Authors:  Rowmika Ravi; Lilian Fernandes Silva; Jagadish Vangipurapu; Maleeha Maria; Joose Raivo; Seppo Helisalmi; Markku Laakso
Journal:  Metabolites       Date:  2022-05-13

2.  Antisense Therapy Attenuates Phospholamban p.(Arg14del) Cardiomyopathy in Mice and Reverses Protein Aggregation.

Authors:  Tim R Eijgenraam; Nienke M Stege; Vivian Oliveira Nunes Teixeira; Remco de Brouwer; Elisabeth M Schouten; Niels Grote Beverborg; Liu Sun; Daniela Später; Ralph Knöll; Kenny M Hansson; Carl Amilon; David Janzén; Steve T Yeh; Adam E Mullick; Peter van der Meer; Rudolf A de Boer; Herman H W Silljé
Journal:  Int J Mol Sci       Date:  2022-02-22       Impact factor: 5.923

3.  Titin-Related Dilated Cardiomyopathy: The Clinical Trajectory and the Role of Circulating Biomarkers in the Clinical Assessment.

Authors:  Przemysław Chmielewski; Grażyna Truszkowska; Ilona Kowalik; Małgorzata Rydzanicz; Ewa Michalak; Małgorzata Sobieszczańska-Małek; Maria Franaszczyk; Piotr Stawiński; Małgorzata Stępień-Wojno; Artur Oręziak; Michał Lewandowski; Przemysław Leszek; Maria Bilińska; Tomasz Zieliński; Rafał Płoski; Zofia T Bilińska
Journal:  Diagnostics (Basel)       Date:  2021-12-22

4.  Emerging New Biomarkers for Cardiovascular Disease.

Authors:  Luc Rochette
Journal:  Int J Mol Sci       Date:  2022-03-18       Impact factor: 5.923

  4 in total

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