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Effects of amiodarone on ventricular excitation associated with the KCNJ2-linked short QT syndrome: Insights from a modelling study

  • Cunjin Luo
  • , Kuanquan Wang*
  • , Ming Yuan
  • , Zhili Li
  • , Qingjie Wang
  • , Yongfeng Yuan
  • , Qince Li
  • , Henggui Zhang
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • China Astronaut Research and Training Center
  • Southeast University, Nanjing
  • University of Manchester

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Short QT syndrome (SQTS) is associated with ventricular arrhythmias that may lead to cardiac sudden death. However, effective pharmacological treatment for SQTS remains unclear. Amiodarone has emerged as the leading antiarrhythmic therapy for termination and prevention of ventricular arrhythmia in different clinical settings because of its proven efficacy and safety. The aim of this study was to investigate the effects of amiodarone on cardiac excitation of the KCNJ2-linked short QT syndrome. Effects of Kir2.1 D172N mutation-induced changes in IK1 were incorporated into human ventricular cell and tissue models that considered the intrinsic electrical heterogeneity in the left ventricle. Actions of amiodarone were simulated by implementing a simple block pore theory to simulate the drug's effects on ICaL and IKr block for several doses. In cellular simulations, current traces of IKr and ICaL and action potential duration of ENDO, M, and EPI cells were simulated in control, mutant, and amiodarone-in-action conditions. In tissue simulations, the pharmacological effects of amiodarone on the characteristics of ECG were examined. This study provides new insights into the pharmacokinetics of amiodarone for treatment of SQT3 under WT-D172N and D172N conditions.

Original languageEnglish
Title of host publicationComputing in Cardiology Conference 2015, CinC 2015
EditorsAlan Murray
PublisherIEEE Computer Society
Pages1093-1096
Number of pages4
ISBN (Electronic)9781509006854
DOIs
StatePublished - 16 Feb 2015
Externally publishedYes
Event42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
Duration: 6 Sep 20159 Sep 2015

Publication series

NameComputing in Cardiology
Volume42
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference42nd Computing in Cardiology Conference, CinC 2015
Country/TerritoryFrance
CityNice
Period6/09/159/09/15

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