Literature DB >> 18055524

In silico study on the effects of IKur block kinetics on prolongation of human action potential after atrial fibrillation-induced electrical remodeling.

Kenji Tsujimae1, Shingo Murakami, Yoshihisa Kurachi.   

Abstract

Pharmacological treatment with various antiarrhythmic agents for the termination or prevention of atrial fibrillation (AF) is not yet satisfactory. This is in part because the drugs may not be sufficiently selective for the atrium, and they often cause ventricular arrhythmias. The ultrarapid-delayed rectifying potassium current (I(Kur)) is found in the atrium but not in the ventricle, and it has been recognized as a potentially promising target for anti-AF drugs that would be without ventricular proarrhythmia. Several new agents that specifically block I(Kur) have been developed. They block I(Kur) in a voltage- and time-dependent manner. Here we use mathematical models of normal and electrically remodeled human atrial action potentials to examine the effects of the blockade kinetics of I(Kur) on atrial action potential duration (APD). It was found that after AF remodeling, an I(Kur) blocker with fast onset can effectively prolong APD at any stimulus frequency, whereas a blocker with slow onset prolongs APD in a frequency-dependent manner only when the recovery is slow. The results suggest that the voltage and time dependence of I(Kur) blockade should be taken into account in the testing of anti-AF drugs. This modeling study suggests that a simple voltage-clamp protocol with a short pulse of approximately 10 ms at 1 Hz may be useful to identify the effective anti-AF drugs among various I(Kur) blockers.

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Year:  2007        PMID: 18055524     DOI: 10.1152/ajpheart.01229.2007

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  12 in total

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2.  Modeling the effect of Kv1.5 block on the canine action potential.

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3.  Revealing kinetics and state-dependent binding properties of IKur-targeting drugs that maximize atrial fibrillation selectivity.

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Journal:  Chaos       Date:  2017-09       Impact factor: 3.642

4.  Impact of sarcoplasmic reticulum calcium release on calcium dynamics and action potential morphology in human atrial myocytes: a computational study.

Authors:  Jussi T Koivumäki; Topi Korhonen; Pasi Tavi
Journal:  PLoS Comput Biol       Date:  2011-01-27       Impact factor: 4.475

Review 5.  Human atrial cell models to analyse haemodialysis-related effects on cardiac electrophysiology: work in progress.

Authors:  Elisa Passini; Simonetta Genovesi; Stefano Severi
Journal:  Comput Math Methods Med       Date:  2014-12-23       Impact factor: 2.238

6.  Modeling specific action potentials in the human atria based on a minimal single-cell model.

Authors:  Yvonne Richter; Pedro G Lind; Philipp Maass
Journal:  PLoS One       Date:  2018-01-23       Impact factor: 3.240

7.  In silico assessment of genetic variation in KCNA5 reveals multiple mechanisms of human atrial arrhythmogenesis.

Authors:  Michael A Colman; Haibo Ni; Bo Liang; Nicole Schmitt; Henggui Zhang
Journal:  PLoS Comput Biol       Date:  2017-06-16       Impact factor: 4.475

8.  Benchmarking electrophysiological models of human atrial myocytes.

Authors:  Mathias Wilhelms; Hanne Hettmann; Mary M Maleckar; Jussi T Koivumäki; Olaf Dössel; Gunnar Seemann
Journal:  Front Physiol       Date:  2013-01-04       Impact factor: 4.566

9.  Rotor termination is critically dependent on kinetic properties of I kur inhibitors in an in silico model of chronic atrial fibrillation.

Authors:  Eberhard P Scholz; Paola Carrillo-Bustamante; Fathima Fischer; Mathias Wilhelms; Edgar Zitron; Olaf Dössel; Hugo A Katus; Gunnar Seemann
Journal:  PLoS One       Date:  2013-12-20       Impact factor: 3.240

10.  Synergistic Anti-arrhythmic Effects in Human Atria with Combined Use of Sodium Blockers and Acacetin.

Authors:  Haibo Ni; Dominic G Whittaker; Wei Wang; Wayne R Giles; Sanjiv M Narayan; Henggui Zhang
Journal:  Front Physiol       Date:  2017-11-23       Impact factor: 4.566

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