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Morissette P, Polak S, Chain A, Zhai J, Imredy JP, Wildey MJ, Travis J, Fitzgerald K, Fanelli P, Passini E, Rodriguez B, Sannajust F, Regan C. Combining an in silico proarrhythmic risk assay with a tPKPD model to predict QTc interval prolongation in the anesthetized guinea pig assay. Toxicol Appl Pharmacol 2020; 390:114883. [PMID: 31981640 PMCID: PMC7322544 DOI: 10.1016/j.taap.2020.114883] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 01/03/2020] [Accepted: 01/14/2020] [Indexed: 12/12/2022]
Abstract
Human-based in silico models are emerging as important tools to study the effects of integrating inward and outward ion channel currents to predict clinical proarrhythmic risk. The aims of this study were 2-fold: 1) Evaluate the capacity of an in silico model to predict QTc interval prolongation in the in vivo anesthetized cardiovascular guinea pig (CVGP) assay for new chemical entities (NCEs) and; 2) Determine if a translational pharmacokinetic/pharmacodynamic (tPKPD) model can improve the predictive capacity. In silico simulations for NCEs were performed using a population of human ventricular action potential (AP) models. PatchXpress® (PX) or high throughput screening (HTS) ion channel data from respectively n = 73 and n = 51 NCEs were used as inputs for the in silico population. These NCEs were also tested in the CVGP (n = 73). An M5 pruned decision tree-based regression tPKPD model was used to evaluate the concentration at which an NCE is liable to prolong the QTc interval in the CVGP. In silico results successfully predicted the QTc interval prolongation outcome observed in the CVGP with an accuracy/specificity of 85%/73% and 75%/77%, when using PX and HTS ion channel data, respectively. Considering the tPKPD predicted concentration resulting in QTc prolongation (EC5%) increased accuracy/specificity to 97%/95% using PX and 88%/97% when using HTS. Our results support that human-based in silico simulations in combination with tPKPD modeling can provide correlative results with a commonly used early in vivo safety assay, suggesting a path toward more rapid NCE assessment with reduced resources, cycle time, and animal use. Cardiac electrophysiological in silico model predicts QTc interval prolongation in the guinea pig. PKPD model predicts relevant QTc interval prolongation concentration in guinea pig. Combining the models improves the accuracy of predicting guinea pig QTc effects. Combining models accelerates assessment of QTc with lower resources and animal use.
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Affiliation(s)
- Pierre Morissette
- Safety Assessment & Laboratory Animal Resources (SALAR), Merck & Co., Inc., West Point, PA, USA.
| | - Sebastian Polak
- Certara UK Limited, Simcyp Division, Sheffield, UK; Jagiellonian University Medical College, Faculty of Pharmacy, Krakow, Poland
| | - Anne Chain
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism (PPDM), Merck & Co., Inc., Rahway, NJ, USA
| | - Jin Zhai
- Safety Assessment & Laboratory Animal Resources (SALAR), Merck & Co., Inc., West Point, PA, USA
| | - John P Imredy
- Safety Assessment & Laboratory Animal Resources (SALAR), Merck & Co., Inc., West Point, PA, USA
| | - Mary Jo Wildey
- Pharmacology, Screening and Informatics, Merck & Co., Kenilworth, NJ, USA
| | - Jeffrey Travis
- Safety Assessment & Laboratory Animal Resources (SALAR), Merck & Co., Inc., West Point, PA, USA
| | - Kevin Fitzgerald
- Safety Assessment & Laboratory Animal Resources (SALAR), Merck & Co., Inc., West Point, PA, USA
| | - Patrick Fanelli
- Safety Assessment & Laboratory Animal Resources (SALAR), Merck & Co., Inc., West Point, PA, USA
| | - Elisa Passini
- Computational Cardiovascular Science Group, Department of Computer Science, BHF Centre of Research Excellence, University of Oxford, Oxford, UK
| | - Blanca Rodriguez
- Computational Cardiovascular Science Group, Department of Computer Science, BHF Centre of Research Excellence, University of Oxford, Oxford, UK
| | - Frederick Sannajust
- Safety Assessment & Laboratory Animal Resources (SALAR), Merck & Co., Inc., West Point, PA, USA
| | - Christopher Regan
- Safety Assessment & Laboratory Animal Resources (SALAR), Merck & Co., Inc., West Point, PA, USA
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Hayes A, Pressman P, Moser P, Soares-da-Silva P. Regulatory safety pharmacology evaluation of BIA 10-2474. J Pharmacol Toxicol Methods 2020; 102:106677. [DOI: 10.1016/j.vascn.2020.106677] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 11/03/2019] [Accepted: 01/17/2020] [Indexed: 12/28/2022]
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Goineau S, Castagné V, Guillaume P, Froget G. The comparative sensitivity of three in vitro safety pharmacology models for the detection of lidocaine-induced cardiac effects. J Pharmacol Toxicol Methods 2012; 66:52-8. [PMID: 22691624 DOI: 10.1016/j.vascn.2012.06.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2012] [Revised: 05/29/2012] [Accepted: 06/01/2012] [Indexed: 10/28/2022]
Abstract
INTRODUCTION In the current ICH S7B guideline, in vitro evaluation of proarrhythmic liability is limited to the risk of QT interval prolongation, whilst the effect of new chemical entities on cardiac conductivity is often overlooked. The aim of this work was to compare the effects of the sodium channel blocker, lidocaine in three in vitro safety pharmacology models: hNa(v)1.5 channel test, atrial action potential (AP) and Purkinje fiber AP and to identify the most sensitive model for detecting cardiac conduction slowing. METHODS Whole-cell patch-clamp methods were used to record the sodium current (I(Na)) encoded by hNa(v)1.5 in stably transfected HEK293 cells at ambient temperature. Transmembrane APs were recorded in rabbit Purkinje fibers and rabbit and guinea-pig left stimulated atria at physiological temperature. Parameters involved in depolarization or repolarization were reported. RESULTS Lidocaine (from 10 to 1000 μM) decreased the amplitude of I(Na) (IC(50): 256±37 μM) in a concentration-dependent manner. In the Purkinje fiber assay, lidocaine (10, 30 and 100 μM) had no effects on maximal upstroke velocity (Vmax), but shortened AP duration at 90% repolarization (APD(90)). At 30 and 100 μM, lidocaine also increased AP triangulation. In guinea-pig atria, lidocaine decreased Vmax starting from 30 μM and conduction velocity (CV) at 100 μM, but had no effects on other parameters. In rabbit atria, lidocaine decreased Vmax and CV at 100 μM without affecting APD(90). The effects of 100 μM lidocaine on Vmax and CV were more marked in rabbit than in guinea-pig atria. CONCLUSION Rabbit atria are more sensitive than rabbit Purkinje fibers or guinea-pig atria for detecting lidocaine-induced cardiac conduction slowing. These data suggest that isolated rabbit atria in addition to the hNa(v)1.5 channel assay could be relevant models to predict drug-induced conduction slowing.
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Affiliation(s)
- Sonia Goineau
- Porsolt, ZA de Glatigné, 53940 Le Genest-Saint-Isle, France.
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