Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy

Hypertrophic cardiomyopathy (HCM), a genetic heart disease defined by unexplained cardiac wall thickening, is a leading cause of sudden death worldwide. However, the three-dimensional organization of cardiac tissue underlying left ventricular hypertrophy remains poorly understood. We developed CaMVIA-3D, a deep-learning volumetric imaging and analysis pipeline to characterize cardiac microarchitecture. Analysis of tissues from HCM hearts revealed genotype-specific differences in cardiomyocyte volume, morphology, and extracellular volume, with pathogenic variants exhibiting greater concentric cellular hypertrophy and disarray and variant-negative cases showing predominant fibrosis. Longitudinal profiling of a pig HCM model revealed early-onset fibrosis preceding cardiomyocyte hypertrophy. Integrating transcriptomic and morphologic changes, we identified genes associated with cellular and extracellular remodeling. These findings define genotype-specific microstructural differences in HCM, offering insights to improve diagnostics and targeted therapies.

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Publication Details

Journal
Science
Published
2026-01-15
DOI
https://doi.org/10.1126/science.ady6443
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
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article

Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy

Anran Zhang, Joshua Gorham, Carlos L. del Rio, Martin Beyer et al.
Science
Cardiomyopathy and Myosin Studies
article

Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy

Anran Zhang, Joshua Gorham, Carlos L. del Rio, Martin Beyer, Ferhaan Ahmad, D Fatkin, Brian L. Bishop, SC Day, David M. Ryba, J G Seidman, Barbara McDonough, Mobin Khoramjoo, Huachen Chen, Ching-Pin Chang, K A Brown, Alexander Bansbach, Gavin Y. Oudit, Eric Q. Wei, Christine E. Seidman
article en

Abstract

Hypertrophic cardiomyopathy (HCM), a genetic heart disease defined by unexplained cardiac wall thickening, is a leading cause of sudden death worldwide. However, the three-dimensional organization of cardiac tissue underlying left ventricular hypertrophy remains poorly understood. We developed CaMVIA-3D, a deep-learning volumetric imaging and analysis pipeline to characterize cardiac microarchitecture. Analysis of tissues from HCM hearts revealed genotype-specific differences in cardiomyocyte volume, morphology, and extracellular volume, with pathogenic variants exhibiting greater concentric cellular hypertrophy and disarray and variant-negative cases showing predominant fibrosis. Longitudinal profiling of a pig HCM model revealed early-onset fibrosis preceding cardiomyocyte hypertrophy. Integrating transcriptomic and morphologic changes, we identified genes associated with cellular and extracellular remodeling. These findings define genotype-specific microstructural differences in HCM, offering insights to improve diagnostics and targeted therapies.

ScienceVol. 391(6782)
University of Iowa (US), Brigham and Women's Hospital (US), Harvard University (US), University of Alberta (CA), Universität Hamburg (DE), Victor Chang Cardiac Research Institute (AU), UNSW Sydney (AU), St Vincent's Hospital Sydney (AU), Massachusetts General Hospital (US), Bristol-Myers Squibb (United States) (US), University Medical Center Hamburg-Eppendorf (DE), German Centre for Cardiovascular Research (DE), Exemplar Genetics (United States) (US), University of Pennsylvania (US)
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Openalex Percentile: Top 88%
Cardiomyopathy and Myosin Studies
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