1. Phenotypic Spectrum of Subclinical Sarcomere-Related Hypertrophic Cardiomyopathy and Transition to Overt Disease.
- Author
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Topriceanu CC, Moon JC, Axelsson Raja A, Captur G, and Ho CY
- Subjects
- Humans, Hypertrophy, Left Ventricular genetics, Hypertrophy, Left Ventricular pathology, Hypertrophy, Left Ventricular diagnostic imaging, Disease Progression, Sarcomeres genetics, Sarcomeres metabolism, Sarcomeres pathology, Cardiomyopathy, Hypertrophic genetics, Cardiomyopathy, Hypertrophic pathology, Phenotype
- Abstract
Genetic hypertrophic cardiomyopathy (HCM) is classically caused by pathogenic/likely pathogenic variants in sarcomere genes (G+). Currently, HCM is diagnosed if there is unexplained left ventricular (LV) hypertrophy with LV wall thickness ≥15 mm in probands or ≥13 mm in at-risk relatives. Although LV hypertrophy is a key feature, this binary metric does not encompass the full constellation of phenotypic features, particularly in the subclinical stage of the disease. Subtle phenotypic manifestations can be identified in sarcomere variant carriers with normal LV wall thickness, before diagnosis with HCM (G+/LV hypertrophy-; subclinical HCM). We conducted a systematic review to summarize current knowledge about the phenotypic spectrum of subclinical HCM and factors influencing penetrance and expressivity. Although the mechanisms driving the development of LV hypertrophy are yet to be elucidated, activation of profibrotic pathways, impaired relaxation, abnormal Ca
2+ signaling, altered myocardial energetics, and microvascular dysfunction have all been identified in subclinical HCM. Progression from subclinical to clinically overt HCM may be more likely if early phenotypic manifestations are present, including ECG abnormalities, longer mitral valve leaflets, lower global E' velocities on Doppler echocardiography, and higher serum N-terminal propeptide of B-type natriuretic peptide. Longitudinal studies of variant carriers are critically needed to improve our understanding of penetrance, characterize the transition to disease, identify risk predictors of phenotypic evolution, and guide the development of novel treatment strategies aimed at influencing disease trajectory., Competing Interests: The views expressed in this article are those of the authors who declare that they have no conflict of interest, except for Dr Moon who is the chief executive officer of MyCardium AI and has served on advisory boards for Genzyme and Sanofi.- Published
- 2024
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