» Articles » PMID: 28097003

Application of a Systems Pharmacology Model for Translational Prediction of HERG-mediated QTc Prolongation

Overview
Date 2017 Jan 19
PMID 28097003
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Drug-induced QTc interval prolongation ( QTc) is a main surrogate for proarrhythmic risk assessment. A higher in vivo than in vitro potency for hERG-mediated QTc prolongation has been suggested. Also, in vivo between-species and patient populations' sensitivity to drug-induced QTc prolongation seems to differ. Here, a systems pharmacology model integrating preclinical in vitro (hERG binding) and in vivo (conscious dog QTc) data of three hERG blockers (dofetilide, sotalol, moxifloxacin) was applied (1) to compare the operational efficacy of the three drugs in vivo and (2) to quantify dog-human differences in sensitivity to drug-induced QTc prolongation (for dofetilide only). Scaling parameters for translational in vivo extrapolation of drug effects were derived based on the assumption of system-specific myocardial ion channel densities and transduction of ion channel block: the operational efficacy (transduction of hERG block) in dogs was drug specific (1-19% hERG block corresponded to ≥10 msec QTc). System-specific maximal achievable QTc was estimated to 28% from baseline in both dog and human, while %hERG block leading to half-maximal effects was 58% lower in human, suggesting a higher contribution of hERG-mediated potassium current to cardiac repolarization. These results suggest that differences in sensitivity to drug-induced QTc prolongation may be well explained by drug- and system-specific differences in operational efficacy (transduction of hERG block), consistent with experimental reports. The proposed scaling approach may thus assist the translational risk assessment of QTc prolongation in different species and patient populations, if mediated by the hERG channel.

Citing Articles

Applications of Quantitative Systems Pharmacology in Model-Informed Drug Discovery: Perspective on Impact and Opportunities.

Bradshaw E, Spilker M, Zang R, Bansal L, He H, Jones R CPT Pharmacometrics Syst Pharmacol. 2019; 8(11):777-791.

PMID: 31535440 PMC: 6875708. DOI: 10.1002/psp4.12463.


Quantitative systems pharmacology analysis of drug combination and scaling to humans: the interaction between noradrenaline and vasopressin in vasoconstriction.

Yin A, Yamada A, Stam W, van Hasselt J, van der Graaf P Br J Pharmacol. 2018; 175(16):3394-3406.

PMID: 29859008 PMC: 6057900. DOI: 10.1111/bph.14385.


Application of a systems pharmacology model for translational prediction of hERG-mediated QTc prolongation.

Gotta V, Yu Z, Cools F, Van Ammel K, Gallacher D, Visser S Pharmacol Res Perspect. 2017; 4(6):e00270.

PMID: 28097003 PMC: 5226282. DOI: 10.1002/prp2.270.

References
1.
Dixon R, Job S, Oliver R, Tompson D, Wright J, Maltby K . Lamotrigine does not prolong QTc in a thorough QT/QTc study in healthy subjects. Br J Clin Pharmacol. 2008; 66(3):396-404. PMC: 2526242. DOI: 10.1111/j.1365-2125.2008.03250.x. View

2.
Yu Z, IJzerman A, Heitman L . Kv 11.1 (hERG)-induced cardiotoxicity: a molecular insight from a binding kinetics study of prototypical Kv 11.1 (hERG) inhibitors. Br J Pharmacol. 2014; 172(3):940-55. PMC: 4301700. DOI: 10.1111/bph.12967. View

3.
. International Conference on Harmonisation; guidance on S7B Nonclinical Evaluation of the Potential for Delayed Ventricular Repolarization (QT Interval Prolongation) by Human Pharmaceuticals; availability. Notice. Fed Regist. 2005; 70(202):61133-4. View

4.
Darpo B, Karnad D, Badilini F, Florian J, Garnett C, Kothari S . Are women more susceptible than men to drug-induced QT prolongation? Concentration-QTc modelling in a phase 1 study with oral rac-sotalol. Br J Clin Pharmacol. 2013; 77(3):522-31. PMC: 4371537. DOI: 10.1111/bcp.12201. View

5.
Wang L, Swirp S, Duff H . Age-dependent response of the electrocardiogram to K(+) channel blockers in mice. Am J Physiol Cell Physiol. 2000; 278(1):C73-80. DOI: 10.1152/ajpcell.2000.278.1.C73. View