Convergence of models of human ventricular myocyte electrophysiology after global optimization to recapitulate clinical long QT phenotypes.

Mann, Stefan A and Imtiaz, Mohammad and Winbo, Annika and Rydberg, Annika and Perry, Matthew D and Couderc, Jean-Philippe and Polonsky, Bronislava and McNitt, Scott and Zareba, Wojciech and Hill, Adam P and Vandenberg, Jamie I (2016) Convergence of models of human ventricular myocyte electrophysiology after global optimization to recapitulate clinical long QT phenotypes. Journal of Molecular and Cellular Cardiology, 100. pp.25-34. ISSN 1095-8584 (PP OA)

[thumbnail of Mann 2016 Convergence LQT models _JMCC _PP OA.pdf]
Preview
Text
Mann 2016 Convergence LQT models _JMCC _PP OA.pdf

Download (1MB) | Preview
Link to published document: http://dx.doi.org/10.1016/j.yjmcc.2016.09.011

Abstract

In-silico models of human cardiac electrophysiology are now being considered for prediction of cardiotoxicity as part of the preclinical assessment phase of all new drugs. We ask the question whether any of the available models are actually fit for this purpose. We tested three models of the human ventricular action potential, the O'hara-Rudy (ORD11), the Grandi-Bers (GB10) and the Ten Tusscher (TT06) models. We extracted clinical QT data for LQTS1 and LQTS2 patients with nonsense mutations that would be predicted to cause 50% loss of function in IKs and IKr respectively. We also obtained clinical QT data for LQTS3 patients. We then used a global optimization approach to improve the existing in silico models so that they reproduced all three clinical data sets more closely. We also examined the effects of adrenergic stimulation in the different LQTS subsets. All models, in their original form, produce markedly different and unrealistic predictions of QT prolongation for LQTS1, 2 and 3. After global optimization of the maximum conductances for membrane channels, all models have similar current densities during the action potential, despite differences in kinetic properties of the channels in the different models, and more closely reproduce the prolongation of repolarization seen in all LQTS subtypes. In-silico models of cardiac electrophysiology have the potential to be tremendously useful in complementing traditional preclinical drug testing studies. However, our results demonstrate they should be carefully validated and optimized to clinical data before they can be used for this purpose.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
Depositing User: Repository Administrator
Date Deposited: 28 Sep 2016 04:48
Last Modified: 15 Jan 2018 02:13
URI: https://eprints.victorchang.edu.au/id/eprint/490

Actions (login required)

View Item View Item