Literature DB >> 18550079

Simulation of steady state and transient cardiac muscle response experiments with a Huxley-based contraction model.

Jorge A Negroni1, Elena C Lascano.   

Abstract

A cardiac muscle model is presented with the purpose of representing a wide range of mechanical experiments at constant and transient Ca(2+) concentration. Modifications of a previous model were: weak and power attached crossbridge states, a troponin system involving three consecutive regulatory troponin-tropomyosin units acting together in Ca(2+) kinetics and detachment constants depending on crossbridge length. This model improved cooperativity (Hill coefficient close to 4) and the force-velocity relationship, and incorporated the representation of the four phases of muscle response to length and force steps, isotonic shortening and isosarcometric contractions, preserving previous satisfactory results. Moreover, experimentally reported effects, such as length dependence on Ca(2+) affinity, the decreased cooperativity at higher Ca(2+) concentrations, temperature effects on the stiffness-frequency relationship and the isometric internal shortening due to series elasticity, were obtained. In conclusion, the model is more comprehensive than a previous version because it is able to represent a wider variety of steady state experiments, the mechanical variables in twitches can be adequately related to intracellular Ca(2+), and all the simulations were performed with the same set of parameters.

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Year:  2008        PMID: 18550079     DOI: 10.1016/j.yjmcc.2008.04.012

Source DB:  PubMed          Journal:  J Mol Cell Cardiol        ISSN: 0022-2828            Impact factor:   5.000


  16 in total

1.  β-adrenergic effects on cardiac myofilaments and contraction in an integrated rabbit ventricular myocyte model.

Authors:  Jorge A Negroni; Stefano Morotti; Elena C Lascano; Aldrin V Gomes; Eleonora Grandi; José L Puglisi; Donald M Bers
Journal:  J Mol Cell Cardiol       Date:  2015-02-25       Impact factor: 5.000

2.  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

Review 3.  The force-frequency relationship: insights from mathematical modeling.

Authors:  Jose L Puglisi; Jorge A Negroni; Ye Chen-Izu; Donald M Bers
Journal:  Adv Physiol Educ       Date:  2013-03       Impact factor: 2.288

4.  A human ventricular myocyte model with a refined representation of excitation-contraction coupling.

Authors:  Yukiko Himeno; Keiichi Asakura; Chae Young Cha; Hiraku Memida; Trevor Powell; Akira Amano; Akinori Noma
Journal:  Biophys J       Date:  2015-07-21       Impact factor: 4.033

Review 5.  Increased myofilament Ca2+-sensitivity and arrhythmia susceptibility.

Authors:  Sabine Huke; Björn C Knollmann
Journal:  J Mol Cell Cardiol       Date:  2010-01-22       Impact factor: 5.000

6.  A Tension-Based Model Distinguishes Hypertrophic versus Dilated Cardiomyopathy.

Authors:  Jennifer Davis; L Craig Davis; Robert N Correll; Catherine A Makarewich; Jennifer A Schwanekamp; Farid Moussavi-Harami; Dan Wang; Allen J York; Haodi Wu; Steven R Houser; Christine E Seidman; Jonathan G Seidman; Michael Regnier; Joseph M Metzger; Joseph C Wu; Jeffery D Molkentin
Journal:  Cell       Date:  2016-04-21       Impact factor: 41.582

7.  Cardiac electromechanical models: from cell to organ.

Authors:  Natalia A Trayanova; John Jeremy Rice
Journal:  Front Physiol       Date:  2011-08-11       Impact factor: 4.566

8.  Drug-induced shortening of the electromechanical window is an effective biomarker for in silico prediction of clinical risk of arrhythmias.

Authors:  Elisa Passini; Cristian Trovato; Pierre Morissette; Frederick Sannajust; Alfonso Bueno-Orovio; Blanca Rodriguez
Journal:  Br J Pharmacol       Date:  2019-09-04       Impact factor: 8.739

Review 9.  Hill's equation of muscle performance and its hidden insight on molecular mechanisms.

Authors:  Chun Y Seow
Journal:  J Gen Physiol       Date:  2013-12       Impact factor: 4.086

10.  Automatic Optimization of an in Silico Model of Human iPSC Derived Cardiomyocytes Recapitulating Calcium Handling Abnormalities.

Authors:  Michelangelo Paci; Risto-Pekka Pölönen; Dario Cori; Kirsi Penttinen; Katriina Aalto-Setälä; Stefano Severi; Jari Hyttinen
Journal:  Front Physiol       Date:  2018-06-26       Impact factor: 4.566

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