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Quantitative prediction of the arrhythmogenic effects of de novo hERG mutations in computational models of human ventricular tissues

Overview of attention for article published in European Biophysics Journal, January 2011
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Title
Quantitative prediction of the arrhythmogenic effects of de novo hERG mutations in computational models of human ventricular tissues
Published in
European Biophysics Journal, January 2011
DOI 10.1007/s00249-010-0663-2
Pubmed ID
Authors

Alan P. Benson, Moza Al-Owais, Arun V. Holden

Abstract

Mutations to hERG which result in changes to the rapid delayed rectifier current I(Kr) can cause long and short QT syndromes and are associated with an increased risk of cardiac arrhythmias. Experimental recordings of I(Kr) reveal the effects of mutations at the channel level, but how these changes translate to the cell and tissue levels remains unclear. We used computational models of human ventricular myocytes and tissues to predict and quantify the effects that de novo hERG mutations would have on cell and tissue electrophysiology. Mutations that decreased I(Kr) maximum conductance resulted in an increased cell and tissue action potential duration (APD) and a long QT interval on the electrocardiogram (ECG), whereas those that caused a positive shift in the inactivation curve resulted in a decreased APD and a short QT. Tissue vulnerability to re-entrant arrhythmias was correlated with transmural dispersion of repolarisation, and any change to this vulnerability could be inferred from the ECG QT interval or T wave peak-to-end time. Faster I(Kr) activation kinetics caused cell APD alternans to appear over a wider range of pacing rates and with a larger magnitude, and spatial heterogeneity in these cellular alternans resulted in discordant alternans at the tissue level. Thus, from channel kinetic data, we can predict the tissue-level electrophysiological effects of any hERG mutations and identify how the mutation would manifest clinically, as either a long or short QT syndrome with or without an increased risk of alternans and re-entrant arrhythmias.

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Geographical breakdown

Country Count As %
United Kingdom 2 6%
United States 2 6%
Brazil 1 3%
Unknown 27 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 31%
Student > Ph. D. Student 8 25%
Lecturer 2 6%
Professor > Associate Professor 2 6%
Professor 2 6%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Engineering 7 22%
Medicine and Dentistry 6 19%
Agricultural and Biological Sciences 5 16%
Physics and Astronomy 3 9%
Computer Science 2 6%
Other 4 13%
Unknown 5 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2011.
All research outputs
#15,236,094
of 22,653,392 outputs
Outputs from European Biophysics Journal
#314
of 488 outputs
Outputs of similar age
#140,684
of 181,188 outputs
Outputs of similar age from European Biophysics Journal
#7
of 8 outputs
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