Predicting Drug Concentration-Time Profiles in Multiple CNS Compartments Using a Comprehensive Physiologically-Based Pharmacokinetic Model

Autor: Yamamoto, Y., Valitalo, P.A.J., Huntjens, D.R., Proost, J.H., Vermeulen, A., Krauwinkel, W., Beukers, M.W., Berg, D.J. van den, Hartman, R.J., Wong, Y.C., Danhof, M., Hasselt, J.G.C. van, Lange, E.C.M. de
Jazyk: angličtina
Rok vydání: 2017
Zdroj: CPT: Pharmacometrics & Systems Pharmacology, 6(11), 765–777
Popis: Drug development targeting the central nervous system (CNS) is challenging due to poor predictability of drug concentrations in various CNS compartments. We developed a generic physiologically based pharmacokinetic (PBPK) model for prediction of drug concentrations in physiologically relevant CNS compartments. System-specific and drug-specific model parameters were derived from literature and in silico predictions. The model was validated using detailed concentration-time profiles from 10 drugs in rat plasma, brain extracellular fluid, 2 cerebrospinal fluid sites, and total brain tissue. These drugs, all small molecules, were selected to cover a wide range of physicochemical properties. The concentration-time profiles for these drugs were adequately predicted across the CNS compartments (symmetric mean absolute percentage error for the model prediction was
Databáze: OpenAIRE