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The Constraints, Construction, and Verification of a Strain-Specific Physiologically Based Pharmacokinetic Rat Model.
Musther, Helen; Harwood, Matthew D; Yang, Jiansong; Turner, David B; Rostami-Hodjegan, Amin; Jamei, Masoud.
Afiliación
  • Musther H; Simcyp Ltd. (a Certara Company), Blades Enterprise Centre, John Street, Sheffield S2 4SU, UK. Electronic address: helen.musther@certara.com.
  • Harwood MD; Simcyp Ltd. (a Certara Company), Blades Enterprise Centre, John Street, Sheffield S2 4SU, UK.
  • Yang J; Mosim Co. Ltd., Room 301, Building 2, 1299 Zhangheng Road, Zhangjiang Hi-Tech Park, Shanghai, China.
  • Turner DB; Simcyp Ltd. (a Certara Company), Blades Enterprise Centre, John Street, Sheffield S2 4SU, UK.
  • Rostami-Hodjegan A; Simcyp Ltd. (a Certara Company), Blades Enterprise Centre, John Street, Sheffield S2 4SU, UK; Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Stopford Building, Oxford Road, Manchester M13 9PT, UK.
  • Jamei M; Simcyp Ltd. (a Certara Company), Blades Enterprise Centre, John Street, Sheffield S2 4SU, UK.
J Pharm Sci ; 106(9): 2826-2838, 2017 09.
Article en En | MEDLINE | ID: mdl-28495566
ABSTRACT
The use of in vitro-in vivo extrapolation (IVIVE) techniques, mechanistically incorporated within physiologically based pharmacokinetic (PBPK) models, can harness in vitro drug data and enhance understanding of in vivo pharmacokinetics. This study's objective was to develop a user-friendly rat (250 g, male Sprague-Dawley) IVIVE-linked PBPK model. A 13-compartment PBPK model including mechanistic absorption models was developed, with required system data (anatomical, physiological, and relevant IVIVE scaling factors) collated from literature and analyzed. Overall, 178 system parameter values for the model are provided. This study also highlights gaps in available system data required for strain-specific rat PBPK model development. The model's functionality and performance were assessed using previous literature-sourced in vitro properties for diazepam, metoprolol, and midazolam. The results of simulations were compared against observed pharmacokinetic rat data. Predicted and observed concentration profiles in 10 tissues for diazepam after a single intravenous (i.v.) dose making use of either observed i.v. clearance (CLiv) or in vitro hepatocyte intrinsic clearance (CLint) for simulations generally led to good predictions in various tissue compartments. Overall, all i.v. plasma concentration profiles were successfully predicted. However, there were challenges in predicting oral plasma concentration profiles for metoprolol and midazolam, and the potential reasons and according solutions are discussed.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Midazolam / Diazepam / Adyuvantes Anestésicos / Metoprolol / Antiarrítmicos / Anticonvulsivantes Tipo de estudio: Prognostic_studies Idioma: En Revista: J Pharm Sci Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Midazolam / Diazepam / Adyuvantes Anestésicos / Metoprolol / Antiarrítmicos / Anticonvulsivantes Tipo de estudio: Prognostic_studies Idioma: En Revista: J Pharm Sci Año: 2017 Tipo del documento: Article