Literature DB >> 32084308

Calibration of ionic and cellular cardiac electrophysiology models.

Dominic G Whittaker1, Michael Clerx2, Chon Lok Lei2, David J Christini3, Gary R Mirams1.   

Abstract

Cardiac electrophysiology models are among the most mature and well-studied mathematical models of biological systems. This maturity is bringing new challenges as models are being used increasingly to make quantitative rather than qualitative predictions. As such, calibrating the parameters within ion current and action potential (AP) models to experimental data sets is a crucial step in constructing a predictive model. This review highlights some of the fundamental concepts in cardiac model calibration and is intended to be readily understood by computational and mathematical modelers working in other fields of biology. We discuss the classic and latest approaches to calibration in the electrophysiology field, at both the ion channel and cellular AP scales. We end with a discussion of the many challenges that work to date has raised and the need for reproducible descriptions of the calibration process to enable models to be recalibrated to new data sets and built upon for new studies. This article is categorized under: Analytical and Computational Methods > Computational Methods Physiology > Mammalian Physiology in Health and Disease Models of Systems Properties and Processes > Cellular Models.
© 2020 The Authors. WIREs Systems Biology and Medicine published by Wiley Periodicals, Inc.

Entities:  

Keywords:  cardiac; electrophysiology; identification; inference; mathematical modeling; optimization; parameterization

Mesh:

Substances:

Year:  2020        PMID: 32084308      PMCID: PMC8614115          DOI: 10.1002/wsbm.1482

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  240 in total

1.  One-dimensional rabbit sinoatrial node models: benefits and limitations.

Authors:  Alan Garny; Peter Kohl; Peter J Hunter; Mark R Boyett; Denis Noble
Journal:  J Cardiovasc Electrophysiol       Date:  2003-10

2.  A meta-analysis of cardiac electrophysiology computational models.

Authors:  S A Niederer; M Fink; D Noble; N P Smith
Journal:  Exp Physiol       Date:  2009-01-12       Impact factor: 2.969

3.  A transition state theory approach to the kinetics of conductance changes in excitable membranes.

Authors:  R W Tsien; D Noble
Journal:  J Membr Biol       Date:  1969-12       Impact factor: 1.843

4.  Optimal experimental design.

Authors:  Byran Smucker; Martin Krzywinski; Naomi Altman
Journal:  Nat Methods       Date:  2018-08       Impact factor: 28.547

5.  Action potential and contractility changes in [Na(+)](i) overloaded cardiac myocytes: a simulation study.

Authors:  G M Faber; Y Rudy
Journal:  Biophys J       Date:  2000-05       Impact factor: 4.033

6.  A compartmentalized mathematical model of the β1-adrenergic signaling system in mouse ventricular myocytes.

Authors:  Vladimir E Bondarenko
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

7.  Initiation of atrial fibrillation by interaction of pacemakers with geometrical constraints.

Authors:  Claudia Lenk; Frank M Weber; Martin Bauer; Mario Einax; Philipp Maass; Gunnar Seeman
Journal:  J Theor Biol       Date:  2014-11-11       Impact factor: 2.691

8.  Improving the In Silico Assessment of Proarrhythmia Risk by Combining hERG (Human Ether-à-go-go-Related Gene) Channel-Drug Binding Kinetics and Multichannel Pharmacology.

Authors:  Zhihua Li; Sara Dutta; Jiansong Sheng; Phu N Tran; Wendy Wu; Kelly Chang; Thembi Mdluli; David G Strauss; Thomas Colatsky
Journal:  Circ Arrhythm Electrophysiol       Date:  2017-02

9.  Channelpedia: an integrative and interactive database for ion channels.

Authors:  Rajnish Ranjan; Georges Khazen; Luca Gambazzi; Srikanth Ramaswamy; Sean L Hill; Felix Schürmann; Henry Markram
Journal:  Front Neuroinform       Date:  2011-12-30       Impact factor: 4.081

10.  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

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  19 in total

Review 1.  An audit of uncertainty in multi-scale cardiac electrophysiology models.

Authors:  Richard H Clayton; Yasser Aboelkassem; Chris D Cantwell; Cesare Corrado; Tammo Delhaas; Wouter Huberts; Chon Lok Lei; Haibo Ni; Alexander V Panfilov; Caroline Roney; Rodrigo Weber Dos Santos
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

2.  Creating Ion Channel Kinetic Models Using Cloud Computing.

Authors:  Kathryn E Mangold; Zhuodong Zhou; Max Schoening; Jonathan D Moreno; Jonathan R Silva
Journal:  Curr Protoc       Date:  2022-02

3.  A protocol for dynamic model calibration.

Authors:  Alejandro F Villaverde; Dilan Pathirana; Fabian Fröhlich; Jan Hasenauer; Julio R Banga
Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 11.622

4.  Interactive 3D Human Heart Simulations on Segmented Human MRI Hearts.

Authors:  John P Berman; Abouzar Kaboudian; Ilija Uzelac; Shahriar Iravanian; Tinen Iles; Paul A Iaizzo; Hyunkyung Lim; Scott Smolka; James Glimm; Elizabeth M Cherry; Flavio H Fenton
Journal:  Comput Cardiol (2010)       Date:  2022-01-10

Review 5.  Data integration for the numerical simulation of cardiac electrophysiology.

Authors:  Stefano Pagani; Luca Dede'; Andrea Manzoni; Alfio Quarteroni
Journal:  Pacing Clin Electrophysiol       Date:  2021-03-08       Impact factor: 1.976

Review 6.  Calibration of ionic and cellular cardiac electrophysiology models.

Authors:  Dominic G Whittaker; Michael Clerx; Chon Lok Lei; David J Christini; Gary R Mirams
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-02-21

7.  Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments.

Authors:  Chon Lok Lei; Michael Clerx; Dominic G Whittaker; David J Gavaghan; Teun P de Boer; Gary R Mirams
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

8.  Considering discrepancy when calibrating a mechanistic electrophysiology model.

Authors:  Chon Lok Lei; Sanmitra Ghosh; Dominic G Whittaker; Yasser Aboelkassem; Kylie A Beattie; Chris D Cantwell; Tammo Delhaas; Charles Houston; Gustavo Montes Novaes; Alexander V Panfilov; Pras Pathmanathan; Marina Riabiz; Rodrigo Weber Dos Santos; John Walmsley; Keith Worden; Gary R Mirams; Richard D Wilkinson
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-05-25       Impact factor: 4.226

9.  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

10.  A Mathematical Model of the Mouse Atrial Myocyte With Inter-Atrial Electrophysiological Heterogeneity.

Authors:  Henggui Zhang; Shanzhuo Zhang; Wei Wang; Kuanquan Wang; Weijian Shen
Journal:  Front Physiol       Date:  2020-08-06       Impact factor: 4.566

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