Literature DB >> 17115219

Computer modelling of the sinoatrial node.

Ronald Wilders1.   

Abstract

Over the past decades patch-clamp experiments have provided us with detailed information on the different types of ion channels that are present in the cardiac cell membrane. Sophisticated cardiac cell models based on these data can help us understand how the different types of ion channels act together to produce the cardiac action potential. In the field of biological pacemaker engineering, such models provide important instruments for the assessment of the functional implications of changes in density of specific ion channels aimed at producing stable pacemaker activity. In this review, an overview is given of the progress made in cardiac cell modelling, with particular emphasis on the development of sinoatrial (SA) nodal cell models. Also, attention is given to the increasing number of publicly available tools for non-experts in computer modelling to run cardiac cell models.

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Year:  2007        PMID: 17115219     DOI: 10.1007/s11517-006-0127-0

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  85 in total

1.  A theory for the membrane potential of living cells.

Authors:  L P Endresen; K Hall; J S Høye; J Myrheim
Journal:  Eur Biophys J       Date:  2000       Impact factor: 1.733

Review 2.  The sinoatrial node, a heterogeneous pacemaker structure.

Authors:  M R Boyett; H Honjo; I Kodama
Journal:  Cardiovasc Res       Date:  2000-09       Impact factor: 10.787

3.  Mechanism of pacemaking in I(K1)-downregulated myocytes.

Authors:  Jonathan Silva; Yoram Rudy
Journal:  Circ Res       Date:  2003-02-21       Impact factor: 17.367

4.  Cardiac action and pacemaker potentials based on the Hodgkin-Huxley equations.

Authors:  D NOBLE
Journal:  Nature       Date:  1960-11-05       Impact factor: 49.962

5.  An ionic model for rhythmic activity in small clusters of embryonic chick ventricular cells.

Authors:  Trine Krogh-Madsen; Peter Schaffer; Anne D Skriver; Louise Kold Taylor; Brigitte Pelzmann; Bernd Koidl; Michael R Guevara
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-02-11       Impact factor: 4.733

6.  simBio: a Java package for the development of detailed cell models.

Authors:  Nobuaki Sarai; Satoshi Matsuoka; Akinori Noma
Journal:  Prog Biophys Mol Biol       Date:  2005-06-13       Impact factor: 3.667

7.  A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart.

Authors:  Mark Potse; Bruno Dubé; Jacques Richer; Alain Vinet; Ramesh M Gulrajani
Journal:  IEEE Trans Biomed Eng       Date:  2006-12       Impact factor: 4.538

8.  Rate dependence and regulation of action potential and calcium transient in a canine cardiac ventricular cell model.

Authors:  Thomas J Hund; Yoram Rudy
Journal:  Circulation       Date:  2004-10-25       Impact factor: 29.690

9.  Improved guinea-pig ventricular cell model incorporating a diadic space, IKr and IKs, and length- and tension-dependent processes.

Authors:  D Noble; A Varghese; P Kohl; P Noble
Journal:  Can J Cardiol       Date:  1998-01       Impact factor: 5.223

10.  Computer model of action potential of mouse ventricular myocytes.

Authors:  Vladimir E Bondarenko; Gyula P Szigeti; Glenna C L Bett; Song-Jung Kim; Randall L Rasmusson
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-05-13       Impact factor: 4.733

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  33 in total

1.  An updated computational model of rabbit sinoatrial action potential to investigate the mechanisms of heart rate modulation.

Authors:  Stefano Severi; Matteo Fantini; Lara A Charawi; Dario DiFrancesco
Journal:  J Physiol       Date:  2012-06-18       Impact factor: 5.182

Review 2.  What keeps us ticking: a funny current, a calcium clock, or both?

Authors:  Edward G Lakatta; Dario DiFrancesco
Journal:  J Mol Cell Cardiol       Date:  2009-04-08       Impact factor: 5.000

3.  Uniqueness and stability of action potential models during rest, pacing, and conduction using problem-solving environment.

Authors:  Leonid Livshitz; Yoram Rudy
Journal:  Biophys J       Date:  2009-09-02       Impact factor: 4.033

Review 4.  Cardiac automaticity: basic concepts and clinical observations.

Authors:  Hector M Vetulli; Marcelo V Elizari; Gerald V Naccarelli; Mario D Gonzalez
Journal:  J Interv Card Electrophysiol       Date:  2018-08-15       Impact factor: 1.900

5.  Computational analysis of the human sinus node action potential: model development and effects of mutations.

Authors:  Alan Fabbri; Matteo Fantini; Ronald Wilders; Stefano Severi
Journal:  J Physiol       Date:  2017-04-01       Impact factor: 5.182

6.  Numerical models based on a minimal set of sarcolemmal electrogenic proteins and an intracellular Ca(2+) clock generate robust, flexible, and energy-efficient cardiac pacemaking.

Authors:  Victor A Maltsev; Edward G Lakatta
Journal:  J Mol Cell Cardiol       Date:  2013-03-16       Impact factor: 5.000

Review 7.  Modern concepts concerning the origin of the heartbeat.

Authors:  Oliver Monfredi; Victor A Maltsev; Edward G Lakatta
Journal:  Physiology (Bethesda)       Date:  2013-03

Review 8.  Modern perspectives on numerical modeling of cardiac pacemaker cell.

Authors:  Victor A Maltsev; Yael Yaniv; Anna V Maltsev; Michael D Stern; Edward G Lakatta
Journal:  J Pharmacol Sci       Date:  2014-04-19       Impact factor: 3.337

9.  A Singular Role of IK1 Promoting the Development of Cardiac Automaticity during Cardiomyocyte Differentiation by IK1 -Induced Activation of Pacemaker Current.

Authors:  Yu Sun; Valeriy Timofeyev; Adrienne Dennis; Emre Bektik; Xiaoping Wan; Kenneth R Laurita; Isabelle Deschênes; Ronald A Li; Ji-Dong Fu
Journal:  Stem Cell Rev Rep       Date:  2017-10       Impact factor: 5.739

Review 10.  Integrative modeling of the cardiac ventricular myocyte.

Authors:  Raimond L Winslow; Sonia Cortassa; Brian O'Rourke; Yasmin L Hashambhoy; John Jeremy Rice; Joseph L Greenstein
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-09-23
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