Literature DB >> 27773652

Refractoriness in human atria: Time and voltage dependence of sodium channel availability.

Lasse Skibsbye1, Thomas Jespersen1, Torsten Christ2, Mary M Maleckar3, Jonas van den Brink3, Pasi Tavi4, Jussi T Koivumäki5.   

Abstract

BACKGROUND: Refractoriness of cardiac cells limits maximum frequency of electrical activity and protects the heart from tonic contractions. Short refractory periods support major arrhythmogenic substrates and augmentation of refractoriness is therefore seen as a main mechanism of antiarrhythmic drugs. Cardiomyocyte excitability depends on availability of sodium channels, which involves both time- and voltage-dependent recovery from inactivation. This study therefore aims to characterise how sodium channel inactivation affects refractoriness in human atria. METHODS AND
RESULTS: Steady-state activation and inactivation parameters of sodium channels measured in vitro in isolated human atrial cardiomyocytes were used to parameterise a mathematical human atrial cell model. Action potential data were acquired from human atrial trabeculae of patients in either sinus rhythm or chronic atrial fibrillation. The ex vivo measurements of action potential duration, effective refractory period and resting membrane potential were well-replicated in simulations using this new in silico model. Notably, the voltage threshold potential at which refractoriness was observed was not different between sinus rhythm and chronic atrial fibrillation tissues and was neither affected by changes in frequency (1 vs. 3Hz).
CONCLUSIONS: Our results suggest a preferentially voltage-dependent, rather than time-dependent, effect with respect to refractoriness at physiologically relevant rates in human atria. However, as the resting membrane potential is hyperpolarized in chronic atrial fibrillation, the voltage-dependence of excitability dominates, profoundly increasing the risk for arrhythmia re-initiation and maintenance in fibrillating atria. Our results thereby highlight resting membrane potential as a potential target in pharmacological management of chronic atrial fibrillation.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Electrophysiology; Ion channels; Mathematical modeling; Refractory period

Mesh:

Substances:

Year:  2016        PMID: 27773652     DOI: 10.1016/j.yjmcc.2016.10.009

Source DB:  PubMed          Journal:  J Mol Cell Cardiol        ISSN: 0022-2828            Impact factor:   5.000


  13 in total

1.  Populations of in silico myocytes and tissues reveal synergy of multiatrial-predominant K+ -current block in atrial fibrillation.

Authors:  Haibo Ni; Alex Fogli Iseppe; Wayne R Giles; Sanjiv M Narayan; Henggui Zhang; Andrew G Edwards; Stefano Morotti; Eleonora Grandi
Journal:  Br J Pharmacol       Date:  2020-08-09       Impact factor: 8.739

2.  Structural Immaturity of Human iPSC-Derived Cardiomyocytes: In Silico Investigation of Effects on Function and Disease Modeling.

Authors:  Jussi T Koivumäki; Nikolay Naumenko; Tomi Tuomainen; Jouni Takalo; Minna Oksanen; Katja A Puttonen; Šárka Lehtonen; Johanna Kuusisto; Markku Laakso; Jari Koistinaho; Pasi Tavi
Journal:  Front Physiol       Date:  2018-02-07       Impact factor: 4.566

3.  Atrial-like Engineered Heart Tissue: An In Vitro Model of the Human Atrium.

Authors:  Marta Lemme; Bärbel M Ulmer; Marc D Lemoine; Antonia T L Zech; Frederik Flenner; Ursula Ravens; Hermann Reichenspurner; Miriam Rol-Garcia; Godfrey Smith; Arne Hansen; Torsten Christ; Thomas Eschenhagen
Journal:  Stem Cell Reports       Date:  2018-11-08       Impact factor: 7.765

Review 4.  Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges.

Authors:  Márcia Vagos; Ilsbeth G M van Herck; Joakim Sundnes; Hermenegild J Arevalo; Andrew G Edwards; Jussi T Koivumäki
Journal:  Front Physiol       Date:  2018-09-04       Impact factor: 4.566

5.  Short P-Wave Duration is a Marker of Higher Rate of Atrial Fibrillation Recurrences after Pulmonary Vein Isolation: New Insights into the Pathophysiological Mechanisms Through Computer Simulations.

Authors:  Angelo Auricchio; Tardu Özkartal; Francesca Salghetti; Laura Neumann; Simone Pezzuto; Ali Gharaviri; Andrea Demarchi; Maria Luce Caputo; François Regoli; Carlo De Asmundis; Gian-Battista Chierchia; Pedro Brugada; Catherine Klersy; Tiziano Moccetti; Ulrich Schotten; Giulio Conte
Journal:  J Am Heart Assoc       Date:  2021-01-07       Impact factor: 5.501

6.  Immediate and Delayed Response of Simulated Human Atrial Myocytes to Clinically-Relevant Hypokalemia.

Authors:  Michael Clerx; Gary R Mirams; Albert J Rogers; Sanjiv M Narayan; Wayne R Giles
Journal:  Front Physiol       Date:  2021-05-26       Impact factor: 4.566

7.  Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset.

Authors:  Jorge Sánchez; Giorgio Luongo; Mark Nothstein; Laura A Unger; Javier Saiz; Beatriz Trenor; Armin Luik; Olaf Dössel; Axel Loewe
Journal:  Front Physiol       Date:  2021-07-05       Impact factor: 4.566

Review 8.  A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia Research.

Authors:  Haibo Ni; Stefano Morotti; Eleonora Grandi
Journal:  Front Physiol       Date:  2018-07-20       Impact factor: 4.566

9.  The Antimalarial Chloroquine Reduces the Burden of Persistent Atrial Fibrillation.

Authors:  Catalina Tobón; Laura C Palacio; Bojjibabu Chidipi; Diana P Slough; Thanh Tran; Nhi Tran; Michelle Reiser; Yu-Shan Lin; Bengt Herweg; Dany Sayad; Javier Saiz; Sami Noujaim
Journal:  Front Pharmacol       Date:  2019-11-27       Impact factor: 5.810

10.  PITX2 upregulation increases the risk of chronic atrial fibrillation in a dose-dependent manner by modulating IKs and ICaL -insights from human atrial modelling.

Authors:  Jieyun Bai; Yaosheng Lu; Andy Lo; Jichao Zhao; Henggui Zhang
Journal:  Ann Transl Med       Date:  2020-03
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