Literature DB >> 22835663

Mechano-electrical feedback explains T-wave morphology and optimizes cardiac pump function: insight from a multi-scale model.

Evelien Hermeling1, Tammo Delhaas, Frits W Prinzen, Nico H L Kuijpers.   

Abstract

In the ECG, T- and R-wave are concordant during normal sinus rhythm (SR), but discordant after a period of ventricular pacing (VP). Experiments showed that the latter phenomenon, called T-wave memory, is mediated by a mechanical stimulus. By means of a mathematical model, we investigated the hypothesis that slow acting mechano-electrical feedback (MEF) explains T-wave memory. In our model, electromechanical behavior of the left ventricle (LV) was simulated using a series of mechanically and electrically coupled segments. Each segment comprised ionic membrane currents, calcium handling, and excitation-contraction coupling. MEF was incorporated by locally adjusting conductivity of L-type calcium current (g(CaL)) to local external work. In our set-up, g(CaL) could vary up to 25%, 50%, 100% or unlimited amount around its default value. Four consecutive simulations were performed: normal SR (with MEF), acute VP, sustained VP (with MEF), and acutely restored SR. MEF led to T-wave concordance in normal SR and to discordant T-waves acutely after restoring SR. Simulated ECGs with a maximum of 25-50% adaptation closely resembled those during T-wave memory experiments in vivo and also provided the best compromise between optimal systolic and diastolic function. In conclusion, these simulation results indicate that slow acting MEF in the LV can explain a) the relatively small differences in systolic shortening and mechanical work during SR, b) the small dispersion in repolarization time, c) the concordant T-wave during SR, and d) T-wave memory. The physiological distribution in electrophysiological properties, reflected by the concordant T-wave, may serve to optimize cardiac pump function.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22835663     DOI: 10.1016/j.pbiomolbio.2012.07.008

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  3 in total

1.  Computer Modelling for Better Diagnosis and Therapy of Patients by Cardiac Resynchronisation Therapy.

Authors:  Marieke Pluijmert; Joost Lumens; Mark Potse; Tammo Delhaas; Angelo Auricchio; Frits W Prinzen
Journal:  Arrhythm Electrophysiol Rev       Date:  2015-03-10

Review 2.  Images as drivers of progress in cardiac computational modelling.

Authors:  Pablo Lamata; Ramón Casero; Valentina Carapella; Steve A Niederer; Martin J Bishop; Jürgen E Schneider; Peter Kohl; Vicente Grau
Journal:  Prog Biophys Mol Biol       Date:  2014-08-10       Impact factor: 3.667

3.  Histo-anatomical structure of the living isolated rat heart in two contraction states assessed by diffusion tensor MRI.

Authors:  Patrick W Hales; Jürgen E Schneider; Rebecca A B Burton; Benjamin J Wright; Christian Bollensdorff; Peter Kohl
Journal:  Prog Biophys Mol Biol       Date:  2012-08-07       Impact factor: 3.667

  3 in total

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