Andy R Eugene1, Jolanta Masiak2. 1. a Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics , Gonda 19, Mayo Clinic , Rochester , MN , USA. 2. b Independent Neurophysiology Laboratory of the Department of Psychiatry of the Medical University of Lublin , ul. Gluska 1 , Lublin , Poland.
Abstract
BACKGROUND: Gender differences in treatment response rates for patients treated with antipsychotics are known. However, the literature lacks a pharmacodynamic model to allow for gender-based clinical trial simulations from modelling parameters for Olanzapine and dopamine D2 receptor occupancy. Thus, the primary aim of this analysis is to test and quantify the effect of gender on the pharmacodynamics of Olanzapine. METHODS: Population pharmacodynamic modelling was performed using non-linear mixed effects modelling in MONOLIX, while the Clinical Trial Simulations were performed using R for statistical programming. The pharmacometric analysis is based on a pooled data approach from three clinical studies where patients were diagnosed with schizophrenia and one clinical study where the patients were diagnosed with bipolar disorder. RESULTS: Olanzapine D2RO was modelled using an Emax model in a study population of 70 patients. Population pharmacodynamic parameters were estimated to be: Emax = 85.6% (RSE = 3%), ED50-Men = 5.15 mg/day (RSE = 14) and ED50-Women = 2.38 mg/day (RSE = 34%), with the p-value = 0.037 for the gender-stratified ED50 results. CONCLUSION: The pharmacometrics analysis and model-based dosing simulations suggest that, in order to achieve 70% D2RO, women require a 10 mg/day dose and men require approximately a 20 mg/day dose of Olanzapine. Further, clinical implications exist suggesting that clinicians should factor patient gender when considering both a starting dose, as well a, a maintenance dose for patients prescribed Olanzapine due to quantifiable gender-differences of striatal dopamine D2 receptor occupancy.
BACKGROUND: Gender differences in treatment response rates for patients treated with antipsychotics are known. However, the literature lacks a pharmacodynamic model to allow for gender-based clinical trial simulations from modelling parameters for Olanzapine and dopamine D2 receptor occupancy. Thus, the primary aim of this analysis is to test and quantify the effect of gender on the pharmacodynamics of Olanzapine. METHODS: Population pharmacodynamic modelling was performed using non-linear mixed effects modelling in MONOLIX, while the Clinical Trial Simulations were performed using R for statistical programming. The pharmacometric analysis is based on a pooled data approach from three clinical studies where patients were diagnosed with schizophrenia and one clinical study where the patients were diagnosed with bipolar disorder. RESULTS:Olanzapine D2RO was modelled using an Emax model in a study population of 70 patients. Population pharmacodynamic parameters were estimated to be: Emax = 85.6% (RSE = 3%), ED50-Men = 5.15 mg/day (RSE = 14) and ED50-Women = 2.38 mg/day (RSE = 34%), with the p-value = 0.037 for the gender-stratified ED50 results. CONCLUSION: The pharmacometrics analysis and model-based dosing simulations suggest that, in order to achieve 70% D2RO, women require a 10 mg/day dose and men require approximately a 20 mg/day dose of Olanzapine. Further, clinical implications exist suggesting that clinicians should factor patient gender when considering both a starting dose, as well a, a maintenance dose for patients prescribed Olanzapine due to quantifiable gender-differences of striatal dopamine D2 receptor occupancy.
Authors: Jill M Goldstein; Lee S Cohen; Nicholas J Horton; Hang Lee; Scott Andersen; Mauricio Tohen; Ann- Marie K Crawford; Gary Tollefson Journal: Psychiatry Res Date: 2002-05-15 Impact factor: 3.222
Authors: Tomas Fagerberg; Erik Söderman; J Petter Gustavsson; Ingrid Agartz; Erik G Jönsson Journal: Nord J Psychiatry Date: 2016-04-22 Impact factor: 2.202
Authors: Jonathan Rabinowitz; Nomi Werbeloff; Ivo Caers; Francine S Mandel; Virginia Stauffer; François Ménard; Bruce J Kinon; Shitij Kapur Journal: J Clin Psychiatry Date: 2014-04 Impact factor: 4.384
Authors: Bodyl A Brand; Yudith R A Haveman; Franciska de Beer; Janna N de Boer; Paola Dazzan; Iris E C Sommer Journal: Psychol Med Date: 2021-11-12 Impact factor: 10.592
Authors: Przemysław Podgórski; Marta Waliszewska-Prosół; Anna Zimny; Marek Sąsiadek; Joanna Bladowska Journal: Front Neurol Date: 2021-07-12 Impact factor: 4.003