Literature DB >> 19218357

Modelling and measuring electromechanical coupling in the rat heart.

S A Niederer1, H E D J Ter Keurs, N P Smith.   

Abstract

Tension-dependent binding of Ca(2+) to troponin C in the cardiac myocyte has been shown to play an important role in the regulation of Ca(2+) and the activation of tension development. The significance of this regulatory mechanism is quantified experimentally by the quantity of Ca(2+) released following a rapid change in the muscle length. Using a computational, coupled, electromechanics cell model, we have confirmed that the tension dependence of Ca(2+) binding to troponin C, rather than cross-bridge kinetics or the rate of Ca(2+) uptake by the sarcoplasmic reticulum, determines the quantity of Ca(2+) released following a length step. This cell model has been successfully applied in a continuum model of the papillary muscle to analyse experimental data, suggesting the tension-dependent binding of Ca(2+) to troponin C as the likely pathway through which the effects of localized impaired tension generation alter the Ca(2+) transient. These experimental results are qualitatively reproduced using a three-dimensional coupled electromechanics model. Furthermore, the model predicts that changes in the Ca(2+) transient in the viable myocardium surrounding the impaired region are amplified in the absence of tension-dependent binding of Ca(2+) to troponin C.

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Year:  2009        PMID: 19218357     DOI: 10.1113/expphysiol.2008.045880

Source DB:  PubMed          Journal:  Exp Physiol        ISSN: 0958-0670            Impact factor:   2.969


  10 in total

1.  A theory of biological relativity: no privileged level of causation.

Authors:  Denis Noble
Journal:  Interface Focus       Date:  2011-11-09       Impact factor: 3.906

Review 2.  Electromechanical coupling in the cardiac myocyte; stretch-arrhythmia feedback.

Authors:  Henk E D J ter Keurs
Journal:  Pflugers Arch       Date:  2011-03-04       Impact factor: 3.657

Review 3.  The interaction of Ca2+ with sarcomeric proteins: role in function and dysfunction of the heart.

Authors:  Hendrick E D J ter Keurs
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-10-21       Impact factor: 4.733

4.  A computational model of Purkinje fibre single cell electrophysiology: implications for the long QT syndrome.

Authors:  K J Sampson; V Iyer; A R Marks; R S Kass
Journal:  J Physiol       Date:  2010-05-24       Impact factor: 5.182

5.  A reference dataset for verifying numerical electrophysiological heart models.

Authors:  Hans Koch; Ralf-Dieter Bousseljot; Olaf Kosch; Cosima Jahnke; Ingo Paetsch; Eckart Fleck; Bernhard Schnackenburg
Journal:  Biomed Eng Online       Date:  2011-01-27       Impact factor: 2.819

6.  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

Review 7.  Modeling cardiac electromechanics and mechanoelectrical coupling in dyssynchronous and failing hearts: insight from adaptive computer models.

Authors:  Nico H L Kuijpers; Evelien Hermeling; Peter H M Bovendeerd; Tammo Delhaas; Frits W Prinzen
Journal:  J Cardiovasc Transl Res       Date:  2012-01-21       Impact factor: 4.132

8.  Implementation of Contraction to Electrophysiological Ventricular Myocyte Models, and Their Quantitative Characterization via Post-Extrasystolic Potentiation.

Authors:  Yanyan Claire Ji; Richard A Gray; Flavio H Fenton
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

9.  Interaction of the Mechano-Electrical Feedback With Passive Mechanical Models on a 3D Rat Left Ventricle: A Computational Study.

Authors:  Minh Tuấn Du'o'ng; David Holz; Muhannad Alkassar; Sven Dittrich; Sigrid Leyendecker
Journal:  Front Physiol       Date:  2019-09-24       Impact factor: 4.566

Review 10.  The cardiac muscle duplex as a method to study myocardial heterogeneity.

Authors:  O Solovyova; L B Katsnelson; P V Konovalov; A G Kursanov; N A Vikulova; P Kohl; V S Markhasin
Journal:  Prog Biophys Mol Biol       Date:  2014-08-05       Impact factor: 3.667

  10 in total

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