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Target-Site Investigation for the Plasma Prolactin Response: Mechanism-Based Pharmacokinetic-Pharmacodynamic Analysis of Risperidone and Paliperidone in the Rat.
Shimizu, Shinji; den Hoedt, Sandra M; Mangas-Sanjuan, Victor; Cristea, Sinziana; Geuer, Jana K; van den Berg, Dirk-Jan; Hartman, Robin; Bellanti, Francisco; de Lange, Elizabeth C M.
Afiliação
  • Shimizu S; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands shimizu.shinji.d3@daiichisankyo.co.jp ecmdelange@lacdr.leidenuniv.nl.
  • den Hoedt SM; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands.
  • Mangas-Sanjuan V; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands.
  • Cristea S; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands.
  • Geuer JK; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands.
  • van den Berg DJ; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands.
  • Hartman R; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands.
  • Bellanti F; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands.
  • de Lange EC; Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, The Netherlands shimizu.shinji.d3@daiichisankyo.co.jp ecmdelange@lacdr.leidenuniv.nl.
Drug Metab Dispos ; 45(2): 152-159, 2017 02.
Article em En | MEDLINE | ID: mdl-27836941
ABSTRACT
To understand the drivers in the biological system response to dopamine D2 receptor antagonists, a mechanistic semiphysiologically based (PB) pharmacokinetic-pharmacodymanic (PKPD) model was developed to describe prolactin responses to risperidone (RIS) and its active metabolite paliperidone (PAL). We performed a microdialysis study in rats to obtain detailed plasma, brain extracellular fluid (ECF), and cerebrospinal fluid (CSF) concentrations of PAL and RIS. To assess the impact of P-glycoprotein (P-gp) functioning on brain distribution, we performed experiments in the absence or presence of the P-gp inhibitor tariquidar (TQD). PK and PKPD modeling was performed by nonlinear mixed-effect modeling. Plasma, brain ECF, and CSF PK values of RIS and PAL were well described by a 12-compartmental semi-PBPK model, including metabolic conversion of RIS to PAL. P-gp efflux functionality was identified on brain ECF for RIS and PAL and on CSF only for PAL. In the PKPD analysis, the plasma drug concentrations were more relevant than brain ECF or CSF concentrations to explain the prolactin response; the estimated EC50 was in accordance with reports in the literature for both RIS and PAL. We conclude that for RIS and PAL, the plasma concentrations better explain the prolactin response than do brain ECF or CSF concentrations. This research shows that PKPD modeling is of high value to delineate the target site of drugs.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prolactina / Encéfalo / Risperidona / Palmitato de Paliperidona / Modelos Biológicos Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prolactina / Encéfalo / Risperidona / Palmitato de Paliperidona / Modelos Biológicos Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article