Literature DB >> 17916279

The cross-bridge dynamics during ventricular contraction predicted by coupling the cardiac cell model with a circulation model.

Eun Bo Shim1, Akira Amano, Takayuki Takahata, Takao Shimayoshi, Akinori Noma.   

Abstract

The force-velocity (F-V) relationship of filament sliding is traditionally used to define the inotropic condition of striated muscles. A simple circulation model combined with the Laplace heart was developed to get a deeper insight into the relationship between the F-V characteristics and the cardiac ventricular inotropy. The circulation model consists of a preload and an afterload compartments. The linear F-V relationship for filament sliding in the NL model (Negroni and Lascano 1996) was replaced by the exponential F-V relation observed by Piazzesi et al. (2002). We also modified the NL model to a hybrid model to benefit from the Ca(2+) cooperativity described by the Robinson model (Robinson et al. 2002). The model was validated by determining the diastolic ventricular pressure-volume relationship of the Laplace heart and the F-V relation of the new hybrid model. The computed parameters of the cardiac cycle agreed well with the physiological data. Computational results showed that the cross-bridge elongation (h in the NL model) temporally undershot the equilibrium h(c) during the ejection period and overshot it during the rapid refilling phase. Thereby the time course of ejection and refilling was retarded. In a simulation where the velocity of the mobile myosin head (dX/dt) was varied, the systolic peak pressure of the ventricle varied from a minimum value at dX/dt = 0 to a saturating value obtained with a constant h(c), providing in silico evidence for a functional impact of the cross-bridge sliding rate on the ventricular inotropy.

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Year:  2007        PMID: 17916279     DOI: 10.2170/physiolsci.RP006007

Source DB:  PubMed          Journal:  J Physiol Sci        ISSN: 1880-6546            Impact factor:   2.781


  7 in total

1.  A new myofilament contraction model with ATP consumption for ventricular cell model.

Authors:  Yuttamol Muangkram; Akinori Noma; Akira Amano
Journal:  J Physiol Sci       Date:  2017-08-02       Impact factor: 2.781

2.  CVSim: An Open-Source Cardiovascular Simulator for Teaching and Research.

Authors:  Thomas Heldt; Ramakrishna Mukkamala; George B Moody; Roger G Mark
Journal:  Open Pacing Electrophysiol Ther J       Date:  2010

3.  An integrative model of the cardiovascular system coupling heart cellular mechanics with arterial network hemodynamics.

Authors:  Young-Tae Kim; Jeong Sang Lee; Chan-Hyun Youn; Jae-Sung Choi; Eun Bo Shim
Journal:  J Korean Med Sci       Date:  2013-07-31       Impact factor: 2.153

4.  Theoretical estimation of cannulation methods for left ventricular assist device support as a bridge to recovery.

Authors:  Ki Moo Lim; Jeong Sang Lee; Jin-Ho Song; Chan-Hyun Youn; Jae-Sung Choi; Eun Bo Shim
Journal:  J Korean Med Sci       Date:  2011-11-29       Impact factor: 2.153

5.  The relationship among complex fractionated electrograms, wavebreak, phase singularity, and local dominant frequency in fibrillation wave-dynamics: a modeling comparison study.

Authors:  Yonghyeon Yun; Minki Hwang; Jae Hyung Park; Hangsik Shin; Eun Bo Shim; Hui-Nam Pak
Journal:  J Korean Med Sci       Date:  2014-02-27       Impact factor: 2.153

6.  Frank-Starling mechanism, fluid responsiveness, and length-dependent activation: Unravelling the multiscale behaviors with an in silico analysis.

Authors:  Sarah Kosta; Pierre C Dauby
Journal:  PLoS Comput Biol       Date:  2021-10-11       Impact factor: 4.475

7.  Mechano-electric feedback effects in a three-dimensional (3D) model of the contracting cardiac ventricle.

Authors:  Ani Amar; Sharon Zlochiver; Ofer Barnea
Journal:  PLoS One       Date:  2018-01-17       Impact factor: 3.240

  7 in total

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