Thick filament molecular interfaces play a critical role in the pathogenesis of hypertrophic cardiomyopathy

Debabrata Dutta1, Yuri Kim2, Carolyn Y Ho2

  • 1Division of Cell Biology and Imaging, Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA 01655.

Insights

Genetic variants in hypertrophic cardiomyopathy (HCM) genes impact cardiac thick filament structure. Pathogenic variants within molecular interfaces correlate with earlier disease onset and worse outcomes, aiding patient risk stratification.

Area of Science:

  • Cardiovascular Genetics
  • Molecular Cardiology
  • Structural Biology

Background:

  • Hypertrophic cardiomyopathy (HCM) is linked to variants in sarcomeric proteins, including myosin heavy chain (MHC), myosin light chains (MYL2, MYL3), and cardiac myosin binding protein-C (cMyBP-C).
  • These variants disrupt cardiac function through abnormal contractility, relaxation, and energy use.

Purpose of the Study:

  • To structurally map pathogenic and benign missense variants in key HCM genes.
  • To investigate the impact of variant location within the cardiac thick filament interactome on disease phenotype.

Main Methods:

  • Utilized a cryo-electron microscopy (cryo-EM) atomic model of the human cardiac thick filament.
  • Mapped 233 missense variants (MYH7, MYBPC3, MYL2, MYL3) onto the structural model.
  • Correlated variant location within molecular interfaces with clinical data.

Main Results:

  • Identified 30 molecular interfaces in the thick filament interactome containing HCM variants.
  • No benign variants were located within these critical interfaces.
  • Pathogenic variants within interfaces were associated with earlier disease onset and adverse patient outcomes compared to those outside interfaces.

Conclusions:

  • Variant location within molecular interfaces of the cardiac thick filament is crucial for normal function.
  • Structural mapping of variants can improve risk stratification for hypertrophic cardiomyopathy patients.
  • Understanding these structural consequences aids in predicting disease severity.

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