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In Silico Investigation of Cardiac Arrhythmia Susceptibility in Long QT Phenotype

Authors:
Anthony Owusu-Mensah
Victoria Lam
Bright Tsevi
Michel Audette
Makarand Deo

Keywords: Long QT Syndrome(LQTS); Cardiac modeling; Arrhythmia; Reentry;Purkinje fibers

Abstract:
Long QT Syndrome (LQTS) is associated with cardiac arrhythmia and sudden cardiac death. The Long QT Type 2 (LQT2) phenotype, which accounts for 35–40 % of all LQTS patients, is caused by mutations in HERG gene. The mechanisms of arrhythmia in presence of LQT2 conditions are not fully understood. We utilized anatomically and electrophysiologically realistic numerical simulations to elucidate the mechanisms of arrhythmia initiation in presence of blockade in rapid component of delayed rectifier potassium current, IKr. We utilized a 3D finite element model of rabbit ventricles integrated with His-purkinje network to simulate whole heart response to LQT2 conditions. We observed that the loss of IKr function produced more severe phenotype in cardiac Purkinje cells than that in ventricular myocytes. Our simulations also revealed that arrhythmia susceptibility is increased when there is a loss of IKr functionality. Our multi-scale computer modeling results provide useful insights into the potential mechanisms of arrhythmia in LQT2 conditions.

Pages: 8 to 13

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-61208-898-3

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021