Corrigendum to “A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm” [Toxicology and Applied Pharmacology volume 394C (2020) 114961]

© 2020 The Author(s) The authors regret that one affiliation address is mistaken in the published paper. Matthew Bridgland-Taylor's affiliation was incorrectly listed as Clinical Pharmacology & Safety Sciences, R&D, AstraZeneca, Cambridge, United Kingdom. The correct affiliation is Clinical Pharmacology & Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom. The authors would like to apologise for any inconvenience caused

A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm

© 2020 Introduction: hERG block potency is widely used to calculate a drug's safety margin against its torsadogenic potential. Previous studies are confounded by use of different patch clamp electrophysiology protocols and a lack of statistical quantification of experimental variability. Since the new cardiac safety paradigm being discussed by the International Council for Harmonisation promotes a tighter integration of nonclinical and clinical data for torsadogenic risk assessment, a more systematic approach to estimate the hERG block potency and safety margin is needed. Methods: A cross-industry study was performed to collect hERG data on 28 drugs with known torsadogenic risk using a standardized experimental protocol. A Bayesian hierarchical modeling (BHM) approach was used to assess the hERG block potency of these drugs by quantifying both the inter-site and intra-site variability. A modeling and simulation study was also done to evaluate protocol-dependent changes in hERG potency estimates. Results: A systematic approach to estimate hERG block potency is established. The impact of choosing a safety margin threshold on torsadogenic risk evaluation is explored based on the posterior distributions of hERG potency estimated by this method. The modeling and simulation results suggest any potency estimate is specific to the protocol used. Discussion: This methodology can estimate hERG block potency specific to a given voltage protocol. The relationship between safety margin thresholds and torsadogenic risk predictivity suggests the threshold should be tailored to each specific context of use, and safety margin evaluation may need to be integrated with other information to form a more comprehensive risk assessment

General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy

This white paper presents principles for validating proarrhythmia risk prediction models for regulatory use as discussed at the In Silico Breakout Session of a Cardiac Safety Research Consortium/Health and Environmental Sciences Institute/US Food and Drug Administration–sponsored Think Tank Meeting on May 22, 2018. The meeting was convened to evaluate the progress in the development of a new cardiac safety paradigm, the Comprehensive in Vitro Proarrhythmia Assay (CiPA). The opinions regarding these principles reflect the collective views of those who participated in the discussion of this topic both at and after the breakout session. Although primarily discussed in the context of in silico models, these principles describe the interface between experimental input and model‐based interpretation and are intended to be general enough to be applied to other types of nonclinical models for proarrhythmia assessment. This document was developed with the intention of providing a foundation for more consistency and harmonization in developing and validating different models for proarrhythmia risk prediction using the example of the CiPA paradigm

Investigating dynamic protocol-dependence of hERG potassium channel inhibition at 37 degrees C: Cisapride versus dofetilide

INTRODUCTION Pharmacological inhibition of cardiac potassium channels encoded by hERG (human ether-à-go-go-related gene) is associated with QT interval prolongation and torsades de pointes arrhythmia. Electrophysiological assays of hERG channel inhibition are integral to the safety testing of novel drug candidates. This study was conducted to compare, for the high affinity hERG inhibitors dofetilide and cisapride, hERG blockade between action potential (AP) and conventional (step and step-ramp) screening waveforms. Furthermore, it evaluated dynamic (pulse-by-pulse) protocol-dependence of hERG channel inhibition by these drugs. METHODS Whole-cell patch-clamp recordings were made at 37 degrees C from hERG-expressing HEK 293 cells. Half-maximal inhibitory concentrations (IC(50) values) for I(hERG) blockade were obtained using conventional voltage clamp and action potential clamp, using previously digitised ventricular and Purkinje fibre (PF) AP waveforms. RESULTS A more marked variation in IC(50) values with different command waveforms was observed for cisapride (ranging from 7 to 72 nM) than for dofetilide (ranging from 4 to 15 nM), with higher IC(50)s obtained with AP than step or step-ramp commands. The two drugs differed little from one another in effects on voltage-dependent activation; however, I(hERG) blockade by each drug was initially voltage-dependent, but at steady-state was only voltage-dependent for cisapride. There was comparatively little difference between the two drugs in effects on I(hERG) availability or time constants of development of inactivation. Features of time-dependence of blockade and the use of protocols employing varying rest periods in drug or commands of alternating duration highlighted a pronounced ability of cisapride, but not dofetilide, to dissociate and reassociate from hERG on a pulse-by-pulse basis. DISCUSSION Protocols described here that demonstrated dynamic variation (drug dissociation/reassociation) in hERG channel current blockade at 37 degrees C for cisapride may have future value for investigating drug interactions with the hERG channel. Downloadable digitised ventricular and PF AP waveforms that can be used in AP clamp experiments also accompany this articl

The “One‐Step” approach for QT analysis increases the sensitivity of nonclinical QTc analysis

Abstract Whether a compound prolongs cardiac repolarization independent of changes in beat rate is a critical question in drug research and development. Current practice is to resolve this in two steps. First, the QT interval is corrected for the influence of rate and then statistical significance is tested. There is renewed interest in improving the sensitivity of nonclinical corrected QT interval (QTc) assessment with modern studies having greater data density than previously utilized. The current analyses examine the effects of moxifloxacin or vehicle on the QT interval in nonhuman primates (NHPs) using a previously described one‐step method. The primary end point is the statistical sensitivity of the assessment. Publications suggest that for a four animal crossover (4 × 4) in NHPs the minimal detectable difference (MDD) is greater than or equal to 10 ms, whereas in an eight animal crossover the MDD is ~6.5 ms. Using the one‐step method, the MDD for the four animal NHP assessments was 3 ms. In addition, the one‐step model accounted for day‐to‐day differences in the heart rate and QT‐rate slope as well as drug‐induced changes in these parameters. This method provides an increase in the sensitivity and reduces the number of animals necessary for detecting potential QT change and represents “best practice” in nonclinical QTc assessment in safety pharmacology studies