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Cardiac length-dependent activation driven by force-dependent thick-filament dynamics.
Lewalle, Alexandre; Milburn, Gregory; Campbell, Kenneth S; Niederer, Steven A.
Afiliação
  • Lewalle A; National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom. Electronic address: a.lewalle@imperial.ac.uk.
  • Milburn G; Department of Physiology, University of Kentucky, Lexington, Kentucky.
  • Campbell KS; Division of Cardiovascular Medicine, University of Kentucky, Lexington, Kentucky.
  • Niederer SA; National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom.
Biophys J ; 2024 May 28.
Article em En | MEDLINE | ID: mdl-38807364
ABSTRACT
The length-dependent activation (LDA) of maximum force and calcium sensitivity are established features of cardiac muscle contraction but the dominant underlying mechanisms remain to be fully clarified. Alongside the well-documented regulation of contraction via the thin filaments, experiments have identified an additional force-dependent thick-filament activation, whereby myosin heads parked in a so-called off state become available to generate force. This process produces a feedback effect that may potentially drive LDA. Using biomechanical modeling of a human left-ventricular myocyte, this study investigates the extent to which the off-state dynamics could, by itself, plausibly account for LDA, depending on the specific mathematical formulation of the feedback. We hypothesized four different models of the off-state regulatory feedback based on (A) total force, (B) active force, (C) sarcomere strain, and (D) passive force. We tested if these models could reproduce the isometric steady-state and dynamic LDA features predicted by an earlier published model of a human left-ventricle myocyte featuring purely phenomenological length dependences. The results suggest that only total-force feedback (A) is capable of reproducing the expected behaviors, but that passive tension could provide a length-dependent signal on which to initiate the feedback. Furthermore, by attributing LDA to off-state dynamics, our proposed model also qualitatively reproduces experimentally observed effects of the off-state-stabilizing drug mavacamten. Taken together, these results support off-state dynamics as a plausible primary mechanism underlying LDA.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Biophys J Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Biophys J Ano de publicação: 2024 Tipo de documento: Article