Literature DB >> 22308236

Proarrhythmia in KCNJ2-linked short QT syndrome: insights from modelling.

Ismail Adeniran1, Aziza El Harchi, Jules C Hancox, Henggui Zhang.   

Abstract

AIMS: One form of the short QT syndrome (SQT3) has been linked to the D172N gain-in-function mutation to Kir2.1, which preferentially increases outward current through channels responsible for inward rectifier K(+) current (I(K1)). This study investigated mechanisms by which the Kir2.1 D172N mutation facilitates and perpetuates ventricular arrhythmias. METHODS AND
RESULTS: The ten Tusscher et al. model for human ventricular action potentials (APs) was modified to incorporate changes to I(K1) based on experimentally observed changes to Kir2.1 function: both heterozygous (WT-D172N) and homozygous (D172N) mutant scenarios were studied. Cell models were incorporated into heterogeneous one-dimensional (1D), 2D tissue, and 3D models to compute the restitution curves of AP duration (APD-R), effective refractory period (ERP-R), and conduction velocity (CV). Temporal and spatial vulnerability of ventricular tissue to re-entry was measured and dynamic behaviour of re-entrant excitation waves (lifespan and dominant frequency) in 2D and 3D models of the human ventricle was characterized. D172N 'mutant' I(K1) led to abbreviated APD and ERP, as well as steeper APD-R and ERP-R curves. It reduced tissue excitability at low excitation rates but increased it at high rates. It increased tissue temporal vulnerability for initiating re-entry, but reduced the minimal substrate size necessary to sustain re-entry. SQT3 'mutant' I(K1) also stabilized and accelerated re-entrant excitation waves, leading to sustained rapid re-entry.
CONCLUSION: Increased I(K1) due to the Kir2.1 D172N mutation increases arrhythmia risk due to increased tissue vulnerability, shortened ERP, and altered excitability, which in combination facilitate initiation and maintenance of re-entrant circuits.

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Year:  2012        PMID: 22308236     DOI: 10.1093/cvr/cvs082

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  23 in total

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Review 2.  The Genetics and Epigenetics of Ventricular Arrhythmias in Patients Without Structural Heart Disease.

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Journal:  Front Cardiovasc Med       Date:  2022-06-15

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Review 4.  Computational approaches to understand cardiac electrophysiology and arrhythmias.

Authors:  Byron N Roberts; Pei-Chi Yang; Steven B Behrens; Jonathan D Moreno; Colleen E Clancy
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5.  [Short QT syndrome].

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6.  Effect of KCNQ1 G229D mutation on cardiac pumping efficacy and reentrant dynamics in ventricles: Computational study.

Authors:  Ana Rahma Yuniarti; Febrian Setianto; Aroli Marcellinus; Han Jeong Hwang; Seong Wook Choi; Natalia Trayanova; Ki Moo Lim
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Review 7.  Murine Electrophysiological Models of Cardiac Arrhythmogenesis.

Authors:  Christopher L-H Huang
Journal:  Physiol Rev       Date:  2017-01       Impact factor: 37.312

8.  Computational analysis of the electromechanical consequences of short QT syndrome.

Authors:  Christopher L-H Huang
Journal:  Front Physiol       Date:  2015-02-11       Impact factor: 4.566

9.  A novel computational sheep atria model for the study of atrial fibrillation.

Authors:  Timothy D Butters; Oleg V Aslanidi; Jichao Zhao; Bruce Smaill; Henggui Zhang
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

10.  In silico investigation of the short QT syndrome, using human ventricle models incorporating electromechanical coupling.

Authors:  Ismail Adeniran; Jules C Hancox; Henggui Zhang
Journal:  Front Physiol       Date:  2013-07-05       Impact factor: 4.566

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