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Biopharmaceutic IVIVE-Mechanistic Modeling of Single- and Two-Phase In Vitro Experiments to Obtain Drug-Specific Parameters for Incorporation Into PBPK Models.
Pathak, Shriram M; Schaefer, Kerstin Julia; Jamei, Masoud; Turner, David B.
  • Pathak SM; Certara UK Limited, Simcyp Division, Level 2-Acero, Sheffield, S1 2BJ, UK. Electronic address: shriram.pathak@certara.com.
  • Schaefer KJ; Pharmaceutical Development, Boehringer-Ingelheim Pharma GmbH & Co. KG, Germany.
  • Jamei M; Certara UK Limited, Simcyp Division, Level 2-Acero, Sheffield, S1 2BJ, UK.
  • Turner DB; Certara UK Limited, Simcyp Division, Level 2-Acero, Sheffield, S1 2BJ, UK.
J Pharm Sci ; 108(4): 1604-1618, 2019 04.
Article en En | MEDLINE | ID: mdl-30476508
ABSTRACT
The physiological relevance of single-phase (aqueous only) and 2-phase (aqueous and organic phase) in vitro dissolution experiments was compared by mechanistic modeling. For orally dosed dipyridamole, stepwise, sequential estimation/confirmation of biopharmaceutical parameters from in vitro solubility-dissolution data was followed, before applying them within a physiologically based pharmacokinetic (PBPK) model. The PBPK model predicted clinical dipyridamole luminal and plasma concentration profiles reasonably well for a range of doses only where the precipitation rate constant was derived from the 2-phase experiment. The population model predicted a distribution of maximal precipitated fractions from 0% to 45% of the 90 mg dose (mean 7.6%). Such population information cannot be obtained directly from a few in vitro experiments; however well they may represent an "average" and several extreme subjects (those with low-high luminal fluid volumes, pH, etc.) because there is no indication of outcome likelihood. For this purpose, direct input of in vitro dissolution/precipitation profiles to a PBPK model is insufficient-mechanistic modeling is required. Biopharmaceutical in vitro-in vivo extrapolation tools can also simulate the effect of key experimental parameters (dissolution volumes, pH, paddle speed, etc.) on dissolution/precipitation behavior, thereby helping to identify critical variables, which may impact the number or design of in vitro experiments.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biofarmacia / Desarrollo de Medicamentos / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biofarmacia / Desarrollo de Medicamentos / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article