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

Pei Chi Yang, Laura L. Perissinotti, Fernando López-Redondo, Yibo Wang, Kevin R. DeMarco, Mao Tsuen Jeng, Igor Vorobyov, Robert D. Harvey, Junko Kurokawa, Sergei Y. Noskov, Colleen E Clancy

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

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, IKr 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.

Original languageEnglish (US)
Pages (from-to)4695-4723
Number of pages29
JournalJournal of Physiology
Volume595
Issue number14
DOIs
StatePublished - Jul 15 2017

Keywords

  • arrhythmias
  • computational model
  • dofetilide
  • hERG mutation
  • long-QT
  • sex-differences
  • TdP

ASJC Scopus subject areas

  • Physiology

Fingerprint Dive into the research topics of 'A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal-induced arrhythmias'. Together they form a unique fingerprint.

  • Cite this

    Yang, P. C., Perissinotti, L. L., López-Redondo, F., Wang, Y., DeMarco, K. R., Jeng, M. T., Vorobyov, I., Harvey, R. D., Kurokawa, J., Noskov, S. Y., & Clancy, C. E. (2017). A multiscale computational modelling approach predicts mechanisms of female sex risk in the setting of arousal-induced arrhythmias. Journal of Physiology, 595(14), 4695-4723. https://doi.org/10.1113/JP273142