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Comprehensive Analyses of Ventricular Myocyte Models Identify Targets Exhibiting Favorable Rate Dependence

Overview of attention for article published in PLoS Computational Biology, March 2014
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Title
Comprehensive Analyses of Ventricular Myocyte Models Identify Targets Exhibiting Favorable Rate Dependence
Published in
PLoS Computational Biology, March 2014
DOI 10.1371/journal.pcbi.1003543
Pubmed ID
Authors

Megan A. Cummins, Pavan J. Dalal, Marco Bugana, Stefano Severi, Eric A. Sobie

Abstract

Reverse rate dependence is a problematic property of antiarrhythmic drugs that prolong the cardiac action potential (AP). The prolongation caused by reverse rate dependent agents is greater at slow heart rates, resulting in both reduced arrhythmia suppression at fast rates and increased arrhythmia risk at slow rates. The opposite property, forward rate dependence, would theoretically overcome these parallel problems, yet forward rate dependent (FRD) antiarrhythmics remain elusive. Moreover, there is evidence that reverse rate dependence is an intrinsic property of perturbations to the AP. We have addressed the possibility of forward rate dependence by performing a comprehensive analysis of 13 ventricular myocyte models. By simulating populations of myocytes with varying properties and analyzing population results statistically, we simultaneously predicted the rate-dependent effects of changes in multiple model parameters. An average of 40 parameters were tested in each model, and effects on AP duration were assessed at slow (0.2 Hz) and fast (2 Hz) rates. The analysis identified a variety of FRD ionic current perturbations and generated specific predictions regarding their mechanisms. For instance, an increase in L-type calcium current is FRD when this is accompanied by indirect, rate-dependent changes in slow delayed rectifier potassium current. A comparison of predictions across models identified inward rectifier potassium current and the sodium-potassium pump as the two targets most likely to produce FRD AP prolongation. Finally, a statistical analysis of results from the 13 models demonstrated that models displaying minimal rate-dependent changes in AP shape have little capacity for FRD perturbations, whereas models with large shape changes have considerable FRD potential. This can explain differences between species and between ventricular cell types. Overall, this study provides new insights, both specific and general, into the determinants of AP duration rate dependence, and illustrates a strategy for the design of potentially beneficial antiarrhythmic drugs.

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Geographical breakdown

Country Count As %
United Kingdom 2 5%
Switzerland 2 5%
Chile 1 2%
Unknown 36 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Researcher 8 20%
Professor 5 12%
Professor > Associate Professor 4 10%
Student > Master 4 10%
Other 5 12%
Unknown 4 10%
Readers by discipline Count As %
Engineering 10 24%
Agricultural and Biological Sciences 5 12%
Biochemistry, Genetics and Molecular Biology 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Mathematics 3 7%
Other 9 22%
Unknown 7 17%