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Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block

Abstract:
Human-based modelling and simulations are becoming ubiquitous in biomedical science due to their ability to augment experimental and clinical investigations. Cardiac electrophysiology is one of the most advanced areas, with cardiac modelling and simulation being considered for virtual testing of pharmacological therapies and medical devices. Current models present inconsistencies with experimental data, which limit further progress. In this study, we present the design, development, calibration and independent validation of a human-based ventricular model (ToR-ORd) for simulations of electrophysiology and excitation-contraction coupling, from ionic to whole-organ dynamics, including the electrocardiogram. Validation based on substantial multiscale simulations supports the credibility of the ToR-ORd model under healthy and key disease conditions, as well as drug blockade. In addition, the process uncovers new theoretical insights into the biophysical properties of the L-type calcium current, which are critical for sodium and calcium dynamics. These insights enable the reformulation of L-type calcium current, as well as replacement of the hERG current model.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.7554/elife.48890

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author
ORCID:
0000-0002-0157-4386
More by this author
Institution:
University of Oxford
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Computer Science
Role:
Author



Publisher:
eLife Sciences Publications
Journal:
eLife More from this journal
Volume:
8
Issue:
2019
Article number:
e48890
Publication date:
2019-12-23
Acceptance date:
2019-12-18
DOI:
EISSN:
2050-084X
Pmid:
31868580


Language:
English
Keywords:
Pubs id:
pubs:1078915
UUID:
uuid:78459221-8eb5-4a40-b232-940a3f61d164
Local pid:
pubs:1078915
Source identifiers:
1078915
Deposit date:
2019-12-30
ARK identifier:

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