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Functional effects of island-distribution of mid-cardiomyocytes on Re-entrant excitation waves in the KCNQ1-linked short QT syndrome

  • Cunjin Luo
  • , Kuanquan Wang*
  • , Henggui Zhang
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • University of Manchester

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

Abstract

It is recognized that specific mutations in ion channels responsible for cellular repolarization underlie various forms of the short QT syndrome (SQTS). However, the functional effects of the intrinsic spatial heterogeneities, such as island-distribution of mid-cardiomyocytes (M island) in cardiac tissue on the electrical instability in SQTS are poorly understood. In this study, the effect of M island on the generation and maintenance of re-entrant waves was investigated by using ten Tusscher et al. model. This model was extended to include a description of the KCNQ1-linked short QT syndrome (SQT2). A two dimensional (2D) tissue model, representing a transmural slice, comprised of 100 × 400 cells, among which 35% cells were mid-cardiomyocytes, either distributed in island form (M island) or continuous band (M band), 25% were endocardial and the rest were epicardial cells. The simulation data predicted that in SQT2 re-entry was more easily initiated and sustained in the M island model than in the M band model. It illustrated the important role of the intrinsic spatial electrical heterogeneities of cardiac tissue in the increased incidence of ventricular fibrillation associated with short QT syndrome.

Original languageEnglish
Title of host publicationComputing in Cardiology Conference, CinC 2016
EditorsAlan Murray
PublisherIEEE Computer Society
Pages933-936
Number of pages4
ISBN (Electronic)9781509008964
DOIs
StatePublished - 1 Mar 2016
Externally publishedYes
Event43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada
Duration: 11 Sep 201614 Sep 2016

Publication series

NameComputing in Cardiology
Volume43
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference43rd Computing in Cardiology Conference, CinC 2016
Country/TerritoryCanada
CityVancouver
Period11/09/1614/09/16

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