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A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias

KEY POINTS: This study represents a first step toward predicting mechanisms of sex‐based arrhythmias that may lead to important developments in risk stratification and may inform future drug design and screening. We undertook simulations to reveal the conditions (i.e. pacing, drugs, sympathetic stim...

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Autores principales: Yang, Pei‐Chi, Perissinotti, Laura L., López‐Redondo, Fernando, Wang, Yibo, DeMarco, Kevin R., Jeng, Mao‐Tsuen, Vorobyov, Igor, Harvey, Robert D., Kurokawa, Junko, Noskov, Sergei Y., Clancy, Colleen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509858/
https://www.ncbi.nlm.nih.gov/pubmed/28516454
http://dx.doi.org/10.1113/JP273142
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author Yang, Pei‐Chi
Perissinotti, Laura L.
López‐Redondo, Fernando
Wang, Yibo
DeMarco, Kevin R.
Jeng, Mao‐Tsuen
Vorobyov, Igor
Harvey, Robert D.
Kurokawa, Junko
Noskov, Sergei Y.
Clancy, Colleen E.
author_facet Yang, Pei‐Chi
Perissinotti, Laura L.
López‐Redondo, Fernando
Wang, Yibo
DeMarco, Kevin R.
Jeng, Mao‐Tsuen
Vorobyov, Igor
Harvey, Robert D.
Kurokawa, Junko
Noskov, Sergei Y.
Clancy, Colleen E.
author_sort Yang, Pei‐Chi
collection PubMed
description KEY POINTS: This study represents a first step toward predicting mechanisms of sex‐based arrhythmias that may lead to important developments in risk stratification and may inform future drug design and screening. We undertook simulations to reveal the conditions (i.e. pacing, drugs, sympathetic stimulation) required for triggering and sustaining reentrant arrhythmias. Using the recently solved cryo‐EM structure for the Eag‐family channel as a template, we revealed potential interactions of oestrogen with the pore loop hERG mutation (G604S). Molecular models suggest that oestrogen and dofetilide blockade can concur simultaneously in the hERG channel pore. ABSTRACT: Female sex is a risk factor for inherited and acquired long‐QT associated torsade de pointes (TdP) arrhythmias, and sympathetic discharge is a major factor in triggering TdP in female long‐QT syndrome patients. We used a combined experimental and computational approach to predict ‘the perfect storm’ of hormone concentration, I (Kr) block and sympathetic stimulation that induces arrhythmia in females with inherited and acquired long‐QT. More specifically, we developed mathematical models of acquired and inherited long‐QT syndrome in male and female ventricular human myocytes by combining effects of a hormone and a hERG blocker, dofetilide, or hERG mutations. These ‘male’ and ‘female’ model myocytes and tissues then were used to predict how various sex‐based differences underlie arrhythmia risk in the setting of acute sympathetic nervous system discharge. The model predicted increased risk for arrhythmia in females when acute sympathetic nervous system discharge was applied in the settings of both inherited and acquired long‐QT syndrome. Females were predicted to have protection from arrhythmia induction when progesterone is high. Males were protected by the presence of testosterone. Structural modelling points towards two plausible and distinct mechanisms of oestrogen action enhancing torsadogenic effects: oestradiol interaction with hERG mutations in the pore loop containing G604 or with common TdP‐related blockers in the intra‐cavity binding site. Our study presents findings that constitute the first evidence linking structure to function mechanisms underlying female dominance of arousal‐induced arrhythmias.
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spelling pubmed-55098582017-07-17 A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias Yang, Pei‐Chi Perissinotti, Laura L. López‐Redondo, Fernando Wang, Yibo DeMarco, Kevin R. Jeng, Mao‐Tsuen Vorobyov, Igor Harvey, Robert D. Kurokawa, Junko Noskov, Sergei Y. Clancy, Colleen E. J Physiol Cardiovascular KEY POINTS: This study represents a first step toward predicting mechanisms of sex‐based arrhythmias that may lead to important developments in risk stratification and may inform future drug design and screening. We undertook simulations to reveal the conditions (i.e. pacing, drugs, sympathetic stimulation) required for triggering and sustaining reentrant arrhythmias. Using the recently solved cryo‐EM structure for the Eag‐family channel as a template, we revealed potential interactions of oestrogen with the pore loop hERG mutation (G604S). Molecular models suggest that oestrogen and dofetilide blockade can concur simultaneously in the hERG channel pore. ABSTRACT: Female sex is a risk factor for inherited and acquired long‐QT associated torsade de pointes (TdP) arrhythmias, and sympathetic discharge is a major factor in triggering TdP in female long‐QT syndrome patients. We used a combined experimental and computational approach to predict ‘the perfect storm’ of hormone concentration, I (Kr) block and sympathetic stimulation that induces arrhythmia in females with inherited and acquired long‐QT. More specifically, we developed mathematical models of acquired and inherited long‐QT syndrome in male and female ventricular human myocytes by combining effects of a hormone and a hERG blocker, dofetilide, or hERG mutations. These ‘male’ and ‘female’ model myocytes and tissues then were used to predict how various sex‐based differences underlie arrhythmia risk in the setting of acute sympathetic nervous system discharge. The model predicted increased risk for arrhythmia in females when acute sympathetic nervous system discharge was applied in the settings of both inherited and acquired long‐QT syndrome. Females were predicted to have protection from arrhythmia induction when progesterone is high. Males were protected by the presence of testosterone. Structural modelling points towards two plausible and distinct mechanisms of oestrogen action enhancing torsadogenic effects: oestradiol interaction with hERG mutations in the pore loop containing G604 or with common TdP‐related blockers in the intra‐cavity binding site. Our study presents findings that constitute the first evidence linking structure to function mechanisms underlying female dominance of arousal‐induced arrhythmias. John Wiley and Sons Inc. 2017-06-14 2017-07-15 /pmc/articles/PMC5509858/ /pubmed/28516454 http://dx.doi.org/10.1113/JP273142 Text en © 2017 The Authors. The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Cardiovascular
Yang, Pei‐Chi
Perissinotti, Laura L.
López‐Redondo, Fernando
Wang, Yibo
DeMarco, Kevin R.
Jeng, Mao‐Tsuen
Vorobyov, Igor
Harvey, Robert D.
Kurokawa, Junko
Noskov, Sergei Y.
Clancy, Colleen E.
A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias
title A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias
title_full A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias
title_fullStr A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias
title_full_unstemmed A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias
title_short A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias
title_sort multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal‐induced arrhythmias
topic Cardiovascular
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509858/
https://www.ncbi.nlm.nih.gov/pubmed/28516454
http://dx.doi.org/10.1113/JP273142
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