Literature DB >> 24411289

In silico investigation of a KCNQ1 mutation associated with familial atrial fibrillation.

J C Hancox1, S Kharche2, A El Harchi3, J Stott4, P Law4, H Zhang4.   

Abstract

Mutations in transmembrane domains of the KCNQ1 subunit of the I(Ks) potassium channel have been associated with familial atrial fibrillation. We have investigated mechanisms by which the S1 domain S140G KCNQ1 mutation influences atrial arrhythmia risk and, additionally, whether it can affect ventricular electrophysiology. In perforated-patch recordings, S140G-KCNQ1+KCNE1 exhibited leftward-shifted activation, slowed deactivation and marked residual current. In human atrial action potential (AP) simulations, AP duration and refractoriness were shortened and rate-dependence flattened. Simulated I(Ks) but not I(Kr) block offset AP shortening produced by the mutation. In atrial tissue simulations, temporal vulnerability to re-entry was little affected by the S140G mutation. Spatial vulnerability was markedly increased, leading to more stable and stationary spiral wave re-entry in 2D stimulations, which was offset by I(Ks) block, and to scroll waves in 3D simulations. These changes account for vulnerability to AF with this mutation. Ventricular AP clamp experiments indicate a propensity for increased ventricular I(Ks) with the S140G KCNQ1 mutation and ventricular AP simulations showed model-dependent ventricular AP abbreviation.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AF; Atrial fibrillation; I(Ks); Inherited arrhythmia; KCNQ1; Modelling; Re-entry; Simulation; Spiral wave

Mesh:

Substances:

Year:  2013        PMID: 24411289     DOI: 10.1016/j.jelectrocard.2013.12.004

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  5 in total

Review 1.  Computational models of atrial cellular electrophysiology and calcium handling, and their role in atrial fibrillation.

Authors:  Jordi Heijman; Pegah Erfanian Abdoust; Niels Voigt; Stanley Nattel; Dobromir Dobrev
Journal:  J Physiol       Date:  2015-12-28       Impact factor: 5.182

2.  Parameter Estimation of Ion Current Formulations Requires Hybrid Optimization Approach to Be Both Accurate and Reliable.

Authors:  Axel Loewe; Mathias Wilhelms; Jochen Schmid; Mathias J Krause; Fathima Fischer; Dierk Thomas; Eberhard P Scholz; Olaf Dössel; Gunnar Seemann
Journal:  Front Bioeng Biotechnol       Date:  2016-01-13

3.  A variation in KCNQ1 gene is associated with repaglinide efficacy on insulin resistance in Chinese Type 2 Diabetes Mellitus Patients.

Authors:  Xueyan Zhou; Jing Zhu; Zejun Bao; Zhenhai Shang; Tao Wang; Jinfang Song; Juan Sun; Wei Li; Temitope Isaac Adelusi; Yan Wang; Dongmei Lv; Qian Lu; Xiaoxing Yin
Journal:  Sci Rep       Date:  2016-11-18       Impact factor: 4.379

4.  Investigating the Complex Arrhythmic Phenotype Caused by the Gain-of-Function Mutation KCNQ1-G229D.

Authors:  Xin Zhou; Alfonso Bueno-Orovio; Richard J Schilling; Claire Kirkby; Chris Denning; Divya Rajamohan; Kevin Burrage; Andrew Tinker; Blanca Rodriguez; Stephen C Harmer
Journal:  Front Physiol       Date:  2019-03-18       Impact factor: 4.566

5.  Influence of the KCNQ1 S140G Mutation on Human Ventricular Arrhythmogenesis and Pumping Performance: Simulation Study.

Authors:  Da Un Jeong; Ki Moo Lim
Journal:  Front Physiol       Date:  2018-07-31       Impact factor: 4.566

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.