The Use of Physiology-Based Pharmacokinetic and Pharmacodynamic Modeling in the Discovery of the Dual Orexin Receptor Antagonist ACT-541468

基于生理学的药代动力学模型 药物发现 药代动力学 药理学 药品 药效学 敌手 食欲素受体 增食欲素 医学 受体 生物信息学 生物 内科学 神经肽
作者
Alexander Treiber,Ruben de Kanter,Catherine Roch,John Gatfield,Christoph Boss,Markus von Raumer,Benno Schindelholz,Clemens Muehlan,Joop van Gerven,François Jenck
出处
期刊:Journal of Pharmacology and Experimental Therapeutics [American Society for Pharmacology and Experimental Therapeutics]
卷期号:362 (3): 489-503 被引量:70
标识
DOI:10.1124/jpet.117.241596
摘要

The identification of new sleep drugs poses particular challenges in drug discovery owing to disease-specific requirements such as rapid onset of action, sleep maintenance throughout major parts of the night, and absence of residual next-day effects. Robust tools to estimate drug levels in human brain are therefore key for a successful discovery program. Animal models constitute an appropriate choice for drugs without species differences in receptor pharmacology or pharmacokinetics. Translation to man becomes more challenging when interspecies differences are prominent. This report describes the discovery of the dual orexin receptor 1 and 2 (OX1 and OX2) antagonist ACT-541468 out of a class of structurally related compounds, by use of physiology-based pharmacokinetic and pharmacodynamic (PBPK-PD) modeling applied early in drug discovery. Although all drug candidates exhibited similar target receptor potencies and efficacy in a rat sleep model, they exhibited large interspecies differences in key factors determining their pharmacokinetic profile. Human PK models were built on the basis of in vitro metabolism and physicochemical data and were then used to predict the time course of OX2 receptor occupancy in brain. An active ACT-541468 dose of 25 mg was estimated on the basis of OX2 receptor occupancy thresholds of about 65% derived from clinical data for two other orexin antagonists, almorexant and suvorexant. Modeling predictions for ACT-541468 in man were largely confirmed in a single-ascending dose trial in healthy subjects. PBPK-PD modeling applied early in drug discovery, therefore, has great potential to assist in the identification of drug molecules when specific pharmacokinetic and pharmacodynamic requirements need to be met.
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