Literature DB >> 15528464

Proarrhythmic consequences of a KCNQ1 AKAP-binding domain mutation: computational models of whole cells and heterogeneous tissue.

Jeffrey J Saucerman1, Sarah N Healy, Mary E Belik, Jose L Puglisi, Andrew D McCulloch.   

Abstract

The KCNQ1-G589D gene mutation, associated with a long-QT syndrome, has been shown to disrupt yotiao-mediated targeting of protein kinase A and protein phosphatase-1 to the I(Ks) channel. To investigate how this defect may lead to ventricular arrhythmia during sympathetic stimulation, we use integrative computational models of beta-adrenergic signaling, myocyte excitation-contraction coupling, and action potential propagation in a rabbit ventricular wedge. Paradoxically, we find that the KCNQ1-G589D mutation alone does not prolong the QT interval. But when coupled with beta-adrenergic stimulation in a whole-cell model, the KCNQ1-G589D mutation induced QT prolongation and transient afterdepolarizations, known cellular mechanisms for arrhythmogenesis. These cellular mechanisms amplified tissue heterogeneities in a three-dimensional rabbit ventricular wedge model, elevating transmural dispersion of repolarization and creating other T-wave abnormalities on simulated electrocardiograms. Increasing heart rate protected both single myocyte and the coupled myocardium models from arrhythmic consequences. These findings suggest that the KCNQ1-G589D mutation disrupts a critical link between beta-adrenergic signaling and myocyte electrophysiology, creating both triggers of cardiac arrhythmia and a myocardial substrate vulnerable to such electrical disturbances.

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Year:  2004        PMID: 15528464     DOI: 10.1161/01.RES.0000150055.06226.4e

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  62 in total

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4.  Strategies and Tactics in Multiscale Modeling of Cell-to-Organ Systems.

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5.  Synergy between CaMKII substrates and β-adrenergic signaling in regulation of cardiac myocyte Ca(2+) handling.

Authors:  Anthony R Soltis; Jeffrey J Saucerman
Journal:  Biophys J       Date:  2010-10-06       Impact factor: 4.033

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Review 7.  Multiscale modeling of cardiac cellular energetics.

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Review 8.  Computational biology in the study of cardiac ion channels and cell electrophysiology.

Authors:  Yoram Rudy; Jonathan R Silva
Journal:  Q Rev Biophys       Date:  2006-07-19       Impact factor: 5.318

9.  Interaction between phosphodiesterases in the regulation of the cardiac β-adrenergic pathway.

Authors:  Claire Y Zhao; Joseph L Greenstein; Raimond L Winslow
Journal:  J Mol Cell Cardiol       Date:  2015-09-23       Impact factor: 5.000

10.  Network reconstruction and systems analysis of cardiac myocyte hypertrophy signaling.

Authors:  Karen A Ryall; David O Holland; Kyle A Delaney; Matthew J Kraeutler; Audrey J Parker; Jeffrey J Saucerman
Journal:  J Biol Chem       Date:  2012-10-22       Impact factor: 5.157

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