Anna Glinka1, Sebastian Polak. 1. a Department of Social Pharmacy, Faculty of Pharmacy, Jagiellonian University Medical College , Krakow , Poland and.
Abstract
CONTEXT: Ensuring the safety of therapy is both expensive and time-consuming process, which may be supported by modeling and simulation. OBJECTIVE: The objective of this study was to gain insight into the effect of risperidone administration on QT interval by in silico evaluation of the effect in the individuals with different metabolic status of CYP2D6. MATERIALS AND METHODS: Evaluation was performed through the combination of empirical and mechanistic modeling with the use of the Cardiac Safety Simulator platform allowing for simulation of electrophysiological consequences of drug administration at the population level. The performance of the proposed approach was evaluated by in silico mimicking of the clinical trial conducted by Novalbos. RESULTS: The simulation results depict differences in ΔQT correlated with change in metabolic activity, but not as significant as observed clinically. For poor metabolizers (PMs), ΔQTc was 8.0 and 5.1 ms, for Fridericia's and Bezett's correction, respectively, in comparison to 13.9 in Novalbos's study. For intermediate metabolizers (IMs), there was 9.3 and 7.3 ms versus 4 ms observed clinically, for ultrarapid metabolizers (UMs) -4.0 and 1 ms versus 0.60 ms, for EMs -5.9 and 7.7 ms versus 6.1 ms. DISCUSSION AND CONCLUSION: Simulated results underestimate changes observed in the PMs and overestimate the results for the IMs and UMs groups. EM individuals were properly predicted. The results of various QTc studies vary considerably and it is not clear which factors have a decisive influence. Nevertheless, presented differences are still more consistent with clinical results than results obtained clinically by other researchers.
CONTEXT: Ensuring the safety of therapy is both expensive and time-consuming process, which may be supported by modeling and simulation. OBJECTIVE: The objective of this study was to gain insight into the effect of risperidone administration on QT interval by in silico evaluation of the effect in the individuals with different metabolic status of CYP2D6. MATERIALS AND METHODS: Evaluation was performed through the combination of empirical and mechanistic modeling with the use of the Cardiac Safety Simulator platform allowing for simulation of electrophysiological consequences of drug administration at the population level. The performance of the proposed approach was evaluated by in silico mimicking of the clinical trial conducted by Novalbos. RESULTS: The simulation results depict differences in ΔQT correlated with change in metabolic activity, but not as significant as observed clinically. For poor metabolizers (PMs), ΔQTc was 8.0 and 5.1 ms, for Fridericia's and Bezett's correction, respectively, in comparison to 13.9 in Novalbos's study. For intermediate metabolizers (IMs), there was 9.3 and 7.3 ms versus 4 ms observed clinically, for ultrarapid metabolizers (UMs) -4.0 and 1 ms versus 0.60 ms, for EMs -5.9 and 7.7 ms versus 6.1 ms. DISCUSSION AND CONCLUSION: Simulated results underestimate changes observed in the PMs and overestimate the results for the IMs and UMs groups. EM individuals were properly predicted. The results of various QTc studies vary considerably and it is not clear which factors have a decisive influence. Nevertheless, presented differences are still more consistent with clinical results than results obtained clinically by other researchers.
Entities:
Keywords:
CYP2D6; drug safety; in silico; torsades
Authors: Mark R Davies; Ken Wang; Gary R Mirams; Antonello Caruso; Denis Noble; Antje Walz; Thierry Lavé; Franz Schuler; Thomas Singer; Liudmila Polonchuk Journal: Drug Discov Today Date: 2016-02-15 Impact factor: 7.851
Authors: Sebastian Polak; Klaus Romero; Alexander Berg; Nikunjkumar Patel; Masoud Jamei; David Hermann; Debra Hanna Journal: J Pharmacokinet Pharmacodyn Date: 2018-03-08 Impact factor: 2.745