Professor GARY MIRAMS GARY.MIRAMS@NOTTINGHAM.AC.UK
PROFESSOR OF MATHEMATICAL BIOLOGY
Professor GARY MIRAMS GARY.MIRAMS@NOTTINGHAM.AC.UK
PROFESSOR OF MATHEMATICAL BIOLOGY
Kylie Beattie
James B. Louttit
Teun de Boer
David J. Gavaghan
Drug interactions with cardiac ion channels can cause disturbances to normal electrical activity in the heart. In particular, hERG channel block has been linked with QT prolongation and increased pro-arrhythmic risk. Consequently, hERG channel screening, quantifying drug block at different drug concentrations, forms a routine part of cardiovascular safety assessment. Recent initiatives led by the US Food and Drug Administration (FDA) aim to reform the current safety assessment guidelines and in silico approaches are envisaged to form an integral part of the new regime (Sager et al., Am Heart J., 2014).
Mathematical ion channel representations, embedded within action potential models, are typically constructed through fitting to patch clamp data that are acquired by applying a series of voltage-step protocols. But different models exhibit disparate behaviour under non-standard protocols; including physiologically relevant action potential clamps, or clamps mimicking arrhythmogenic behaviour. We demonstrate the influence the choice of hERG channel representation can have on action potentials simulated from a mathematical ventricular myocyte model when predicting drug-induced effects; indicating the necessity of including accurate descriptions of hERG channel kinetics.
We present novel rapidly fluctuating voltage-clamp protocols, designed mathematically to enable a robust model of hERG channel kinetics to be determined, on a cell-specific basis. The protocols have been tested in manual patch clamp experiments, using hERG-1a transfected HEK 293 cells. The approach will be extended to determine compound-specific models describing hERG channel kinetics in the presence of different drugs, which may enhance the predictive ability of in silico approaches used for cardiovascular safety assessment.
R. Mirams, G., Beattie, K., B. Louttit, J., de Boer, T., & J. Gavaghan, D. (2015, February). Novel Voltage Protocols for Determining hERG Channel Kinetics. Presented at Biophysical Society 59th Annual Meeting, Baltimore, Maryland
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Biophysical Society 59th Annual Meeting |
Start Date | Feb 7, 2015 |
End Date | Feb 11, 2015 |
Online Publication Date | Jan 27, 2015 |
Publication Date | 2015-01 |
Deposit Date | Jul 29, 2024 |
Journal | Biophysical Journal |
Print ISSN | 0006-3495 |
Electronic ISSN | 1542-0086 |
Publisher | Biophysical Society |
Peer Reviewed | Not Peer Reviewed |
Volume | 108 |
Issue | 2, Supplement 1 |
Pages | 121a |
DOI | https://doi.org/10.1016/j.bpj.2014.11.678 |
Public URL | https://nottingham-repository.worktribe.com/output/23524374 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0006349514018876?via%3Dihub |
Ten simple rules for training scientists to make better software
(2024)
Journal Article
Evaluating the predictive accuracy of ion channel models using data from multiple experimental designs
(2024)
Preprint / Working Paper
A range of voltage-clamp protocol designs for rapid capture of hERG kinetics
(2024)
Preprint / Working Paper
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search