Literature DB >> 29728448

The Temperature Dependence of Kinetics Associated with Drug Block of hERG Channels Is Compound-Specific and an Important Factor for Proarrhythmic Risk Prediction.

Monique J Windley1, William Lee1, Jamie I Vandenberg1, Adam P Hill2.   

Abstract

Current mandated preclinical tests for drug-induced proarrhythmia are very sensitive, but not sufficiently specific. This has led to concern that there is a high attrition rate of potentially safe drugs that could have been beneficial to patients. The comprehensive in vitro proarrhythmia initiative has proposed new metrics based around in silico risk predictions, which are informed, among other things, by measures of human ether-à-go-go-related gene channel (hERG) block kinetics. However, high-throughput patch-clamp systems set to collect these data largely operate at ambient temperature, whereas the simulations for risk prediction are carried out at physiologic temperature. The aims of this study were to: 1) determine to what degree kinetics of drug block of hERG are temperature-dependent, 2) assess the impact of any temperature dependence of drug binding kinetics on repolarization in silico, and 3) identify whether a common set of Q10 scalars can be used to extrapolate kinetic data gathered at ambient to physiologic temperatures for use in in silico proarrhythmic risk prediction. We show that, for a range of drugs, kinetics of block are temperature-dependent and, furthermore, that the degree of temperature dependence is different for each drug. As a result, no common set of Q10 scalars could describe the observed range of temperature dependencies. These results suggest that if accurate physiologic temperature models of the kinetics of drug binding are important for in silico risk prediction, the in vitro data should be acquired at physiologic temperature.
Copyright © 2018 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2018        PMID: 29728448     DOI: 10.1124/mol.117.111534

Source DB:  PubMed          Journal:  Mol Pharmacol        ISSN: 0026-895X            Impact factor:   4.436


  5 in total

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Authors:  Jun-Ichi Okada; Takashi Yoshinaga; Takumi Washio; Kohei Sawada; Seiryo Sugiura; Toshiaki Hisada
Journal:  Clin Transl Sci       Date:  2021-02-13       Impact factor: 4.689

2.  Experimentally Validated Pharmacoinformatics Approach to Predict hERG Inhibition Potential of New Chemical Entities.

Authors:  Saba Munawar; Monique J Windley; Edwin G Tse; Matthew H Todd; Adam P Hill; Jamie I Vandenberg; Ishrat Jabeen
Journal:  Front Pharmacol       Date:  2018-09-19       Impact factor: 5.810

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

Authors:  Zhihua Li; Gary R Mirams; Takashi Yoshinaga; Bradley J Ridder; Xiaomei Han; Janell E Chen; Norman L Stockbridge; Todd A Wisialowski; Bruce Damiano; Stefano Severi; Pierre Morissette; Peter R Kowey; Mark Holbrook; Godfrey Smith; Randall L Rasmusson; Michael Liu; Zhen Song; Zhilin Qu; Derek J Leishman; Jill Steidl-Nichols; Blanca Rodriguez; Alfonso Bueno-Orovio; Xin Zhou; Elisa Passini; Andrew G Edwards; Stefano Morotti; Haibo Ni; Eleonora Grandi; Colleen E Clancy; Jamie Vandenberg; Adam Hill; Mikiko Nakamura; Thomas Singer; Liudmila Polonchuk; Andrea Greiter-Wilke; Ken Wang; Stephane Nave; Aaron Fullerton; Eric A Sobie; Michelangelo Paci; Flora Musuamba Tshinanu; David G Strauss
Journal:  Clin Pharmacol Ther       Date:  2019-11-10       Impact factor: 6.903

4.  Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence.

Authors:  Chon Lok Lei; Michael Clerx; Kylie A Beattie; Dario Melgari; Jules C Hancox; David J Gavaghan; Liudmila Polonchuk; Ken Wang; Gary R Mirams
Journal:  Biophys J       Date:  2019-07-25       Impact factor: 4.033

5.  Toward in vivo-relevant hERG safety assessment and mitigation strategies based on relationships between non-equilibrium blocker binding, three-dimensional channel-blocker interactions, dynamic occupancy, dynamic exposure, and cellular arrhythmia.

Authors:  Hongbin Wan; Gianluca Selvaggio; Robert A Pearlstein
Journal:  PLoS One       Date:  2020-11-04       Impact factor: 3.240

  5 in total

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