Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1783250088260272128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5509858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yangpeichi amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT perissinottilaural amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT lopezredondofernando amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT wangyibo amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT demarcokevinr amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT jengmaotsuen amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT vorobyovigor amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT harveyrobertd amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT kurokawajunko amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT noskovsergeiy amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT clancycolleene amultiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT yangpeichi multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT perissinottilaural multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT lopezredondofernando multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT wangyibo multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT demarcokevinr multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT jengmaotsuen multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT vorobyovigor multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT harveyrobertd multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT kurokawajunko multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT noskovsergeiy multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias AT clancycolleene multiscalecomputationalmodellingapproachpredictsmechanismsoffemalesexriskinthesettingofarousalinducedarrhythmias |