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A Study on Pharmacokinetics of Bosentan with Systems Modeling, Part 2: Prospectively Predicting Systemic and Liver Exposure in Healthy Subjects.
Li, Rui; Kimoto, Emi; Niosi, Mark; Tess, David A; Lin, Jian; Tremaine, Larry M; Di, Li.
Afiliação
  • Li R; Systems Modeling and Simulation, Medicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts (R.L.); and Pharmacokinetics, Dynamics, and Metabolism, Medicine Design, Pfizer Worldwide R&D, Groton, Connecticut (E.K., M.N., D.A.T., J.L., L.M.T., L.D.) rui.li5@pfizer.com.
  • Kimoto E; Systems Modeling and Simulation, Medicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts (R.L.); and Pharmacokinetics, Dynamics, and Metabolism, Medicine Design, Pfizer Worldwide R&D, Groton, Connecticut (E.K., M.N., D.A.T., J.L., L.M.T., L.D.).
  • Niosi M; Systems Modeling and Simulation, Medicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts (R.L.); and Pharmacokinetics, Dynamics, and Metabolism, Medicine Design, Pfizer Worldwide R&D, Groton, Connecticut (E.K., M.N., D.A.T., J.L., L.M.T., L.D.).
  • Tess DA; Systems Modeling and Simulation, Medicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts (R.L.); and Pharmacokinetics, Dynamics, and Metabolism, Medicine Design, Pfizer Worldwide R&D, Groton, Connecticut (E.K., M.N., D.A.T., J.L., L.M.T., L.D.).
  • Lin J; Systems Modeling and Simulation, Medicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts (R.L.); and Pharmacokinetics, Dynamics, and Metabolism, Medicine Design, Pfizer Worldwide R&D, Groton, Connecticut (E.K., M.N., D.A.T., J.L., L.M.T., L.D.).
  • Tremaine LM; Systems Modeling and Simulation, Medicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts (R.L.); and Pharmacokinetics, Dynamics, and Metabolism, Medicine Design, Pfizer Worldwide R&D, Groton, Connecticut (E.K., M.N., D.A.T., J.L., L.M.T., L.D.).
  • Di L; Systems Modeling and Simulation, Medicine Design, Pfizer Worldwide R&D, Cambridge, Massachusetts (R.L.); and Pharmacokinetics, Dynamics, and Metabolism, Medicine Design, Pfizer Worldwide R&D, Groton, Connecticut (E.K., M.N., D.A.T., J.L., L.M.T., L.D.).
Drug Metab Dispos ; 46(4): 357-366, 2018 04.
Article em En | MEDLINE | ID: mdl-29330219
ABSTRACT
Predicting human pharmacokinetics of novel compounds is a critical step in drug discovery and clinical study design but continues to be a challenging task for hepatic transporter substrates, particularly in predicting their liver exposures. In this study, using bosentan as an example, we prospectively predicted systemic exposure and the (pseudo) steady-state unbound liver-to-unbound plasma ratio (Kpuu) in healthy subjects using 1) a mechanistic approach solely based on in vitro hepatocyte assays and 2) an approach based on hepatic process rates from monkey in vivo data but Michaelis-Menten constants from in vitro data. Both methods reasonably match the observed human systemic time course data, but the second method leads to better prediction accuracy. In addition, the second method can predict a human Kpuu value that is close to the value deduced using clinical data. We also generated rat and monkey liver Kpuu values in terminal studies. However, these directly measured animal values are different from the deduced human value.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sulfonamidas / Fígado Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sulfonamidas / Fígado Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article