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Bio-Algorithms and Med-Systems

Editor-in-Chief: Roterman-Konieczna , Irena


CiteScore 2017: 0.43

SCImago Journal Rank (SJR) 2017: 0.160
Source Normalized Impact per Paper (SNIP) 2017: 0.223

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An analysis of cardiomyocytes’ electrophysiology in the presence of the hERG gene mutations

Anna Glinka
  • Corresponding author
  • Faculty of Pharmacy, Department of Social Pharmacy, Medical College, Jagiellonian University, Cracow, Poland
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  • Other articles by this author:
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/ Sebastian Polak
  • Faculty of Pharmacy, Department of Social Pharmacy, Medical College, Jagiellonian University, Cracow, Poland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2013-09-06 | DOI: https://doi.org/10.1515/bams-2013-0017

Abstract

Mutations in the human ether-à-go-go-related gene are linked with cardiomyocyte repolarization impairment, which, in combination with other factors, can lead to life-threatening arrhythmias. The aim of the study was to demonstrate the effect of selected mutations associated with protein trafficking problems on the action potential of the ventricular cell. To perform the simulations, the O’Hara-Rudy dynamic model was used. The modification of membrane permeability to rapid delayed rectifier current was based on data obtained from in vitro studies with the human embryonic kidney (HEK293) cell line transfected with human genes: wild type and one of the seven mutations (F805C, G601S, D456Y, I31S, R823W, F640V, and A561V). Simulations were carried out for each mutation on epicardial, endocardial, and M-cells with RR interval values of 500, 750, 1000, and 1500 ms. A positive correlation between the APD90 length and the percentage of current reduction and between APD90 and RR interval lengths was observed.

Keywords: action potential; computational models; human ether-à-go-go-related gene (hERG); long QT syndrome; single nucleotide polymorphism (SNP) mutation; trafficking; wild type; rapid delayed rectifier current (IKr)

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About the article

Corresponding author: Anna Glinka, Faculty of Pharmacy, Department of Social Pharmacy, Medical College, Jagiellonian University, Medyczna 9 St., 30-688 Cracow, Poland


Received: 2013-06-25

Accepted: 2013-08-07

Published Online: 2013-09-06

Published in Print: 2013-09-01


Citation Information: Bio-Algorithms and Med-Systems, Volume 9, Issue 3, Pages 135–140, ISSN (Online) 1896-530X, ISSN (Print) 1895-9091, DOI: https://doi.org/10.1515/bams-2013-0017.

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