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A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current

BACKGROUND: The QT interval is a phase of the cardiac cycle that corresponds to action potential duration (APD) including cellular repolarization (T-wave). In both clinical and experimental settings, prolongation of the QT interval of the electrocardiogram (ECG) and related proarrhythmia have been s...

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Autores principales: Yang, Pei-Chi, El-Bizri, Nesrine, Romero, Lucia, Giles, Wayne R., Rajamani, Sridharan, Belardinelli, Luiz, Clancy, Colleen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453509/
https://www.ncbi.nlm.nih.gov/pubmed/27545042
http://dx.doi.org/10.1016/j.yjmcc.2016.08.011
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author Yang, Pei-Chi
El-Bizri, Nesrine
Romero, Lucia
Giles, Wayne R.
Rajamani, Sridharan
Belardinelli, Luiz
Clancy, Colleen E.
author_facet Yang, Pei-Chi
El-Bizri, Nesrine
Romero, Lucia
Giles, Wayne R.
Rajamani, Sridharan
Belardinelli, Luiz
Clancy, Colleen E.
author_sort Yang, Pei-Chi
collection PubMed
description BACKGROUND: The QT interval is a phase of the cardiac cycle that corresponds to action potential duration (APD) including cellular repolarization (T-wave). In both clinical and experimental settings, prolongation of the QT interval of the electrocardiogram (ECG) and related proarrhythmia have been so strongly associated that a prolonged QT interval is largely accepted as surrogate marker for proarrhythmia. Accordingly, drugs that prolong the QT interval are not considered for further preclinical development resulting in removal of many promising drugs from development. While reduction of drug interactions with hERG is an important goal, there are promising means to mitigate hERG block. Here, we examine one possibility and test the hypothesis that selective inhibition of the cardiac late Na current (I(NaL)) by the novel compound GS-458967 can suppress proarrhythmic markers. METHODS AND RESULTS: New experimental data has been used to calibrate I(NaL) in the Soltis-Saucerman computationally based model of the rabbit ventricular action potential to study effects of GS-458967 on I(NaL) during the rabbit ventricular AP. We have also carried out systematic in silico tests to determine if targeted block of I(NaL) would suppress proarrhythmia markers in ventricular myocytes described by TRIaD: Triangulation, Reverse use dependence, beat-to-beat Instability of action potential duration, and temporal and spatial action potential duration Dispersion. CONCLUSIONS: Our computer modeling approach based on experimental data, yields results that suggest that selective inhibition of I(NaL) modifies all TRIaD related parameters arising from acquired Long-QT Syndrome, and thereby reduced arrhythmia risk. This study reveals the potential for adjunctive pharmacotherapy via targeted block of I(NaL) to mitigate proarrhythmia risk for drugs with significant but unintended off-target hERG blocking effects.
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spelling pubmed-54535092017-06-01 A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current Yang, Pei-Chi El-Bizri, Nesrine Romero, Lucia Giles, Wayne R. Rajamani, Sridharan Belardinelli, Luiz Clancy, Colleen E. J Mol Cell Cardiol Article BACKGROUND: The QT interval is a phase of the cardiac cycle that corresponds to action potential duration (APD) including cellular repolarization (T-wave). In both clinical and experimental settings, prolongation of the QT interval of the electrocardiogram (ECG) and related proarrhythmia have been so strongly associated that a prolonged QT interval is largely accepted as surrogate marker for proarrhythmia. Accordingly, drugs that prolong the QT interval are not considered for further preclinical development resulting in removal of many promising drugs from development. While reduction of drug interactions with hERG is an important goal, there are promising means to mitigate hERG block. Here, we examine one possibility and test the hypothesis that selective inhibition of the cardiac late Na current (I(NaL)) by the novel compound GS-458967 can suppress proarrhythmic markers. METHODS AND RESULTS: New experimental data has been used to calibrate I(NaL) in the Soltis-Saucerman computationally based model of the rabbit ventricular action potential to study effects of GS-458967 on I(NaL) during the rabbit ventricular AP. We have also carried out systematic in silico tests to determine if targeted block of I(NaL) would suppress proarrhythmia markers in ventricular myocytes described by TRIaD: Triangulation, Reverse use dependence, beat-to-beat Instability of action potential duration, and temporal and spatial action potential duration Dispersion. CONCLUSIONS: Our computer modeling approach based on experimental data, yields results that suggest that selective inhibition of I(NaL) modifies all TRIaD related parameters arising from acquired Long-QT Syndrome, and thereby reduced arrhythmia risk. This study reveals the potential for adjunctive pharmacotherapy via targeted block of I(NaL) to mitigate proarrhythmia risk for drugs with significant but unintended off-target hERG blocking effects. 2016-08-18 2016-10 /pmc/articles/PMC5453509/ /pubmed/27545042 http://dx.doi.org/10.1016/j.yjmcc.2016.08.011 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Yang, Pei-Chi
El-Bizri, Nesrine
Romero, Lucia
Giles, Wayne R.
Rajamani, Sridharan
Belardinelli, Luiz
Clancy, Colleen E.
A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current
title A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current
title_full A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current
title_fullStr A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current
title_full_unstemmed A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current
title_short A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current
title_sort computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac na current
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453509/
https://www.ncbi.nlm.nih.gov/pubmed/27545042
http://dx.doi.org/10.1016/j.yjmcc.2016.08.011
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