Literature DB >> 27836941

Target-Site Investigation for the Plasma Prolactin Response: Mechanism-Based Pharmacokinetic-Pharmacodynamic Analysis of Risperidone and Paliperidone in the Rat.

Shinji Shimizu1, Sandra M den Hoedt2, Victor Mangas-Sanjuan2, Sinziana Cristea2, Jana K Geuer2, Dirk-Jan van den Berg2, Robin Hartman2, Francisco Bellanti2, Elizabeth C M de Lange1.   

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.
Copyright © 2017 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2016        PMID: 27836941     DOI: 10.1124/dmd.116.072306

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  4 in total

1.  Fingerprints of CNS drug effects: a plasma neuroendocrine reflection of D2 receptor activation using multi-biomarker pharmacokinetic/pharmacodynamic modelling.

Authors:  Willem J van den Brink; Dirk-Jan van den Berg; Floor E M Bonsel; Robin Hartman; Yin-Cheong Wong; Piet H van der Graaf; Elizabeth C M de Lange
Journal:  Br J Pharmacol       Date:  2018-08-31       Impact factor: 8.739

2.  Physiologically Based Modeling Approach to Predict Dopamine D2 Receptor Occupancy of Antipsychotics in Brain: Translation From Rat to Human.

Authors:  Yin Cheong Wong; Maddalena Centanni; Elizabeth C M de Lange
Journal:  J Clin Pharmacol       Date:  2019-01-24       Impact factor: 3.126

Review 3.  Access to the CNS: Biomarker Strategies for Dopaminergic Treatments.

Authors:  Willem Johan van den Brink; Semra Palic; Isabelle Köhler; Elizabeth Cunera Maria de Lange
Journal:  Pharm Res       Date:  2018-02-15       Impact factor: 4.200

4.  Physiologically Based Pharmacokinetic Modeling to Understand the Absorption of Risperidone Orodispersible Film.

Authors:  Fang Chen; Hongrui Liu; Bing Wang; Liuliu Yang; Weimin Cai; Zheng Jiao; Zhou Yang; Yusheng Chen; Yingjun Quan; Xiaoqiang Xiang; Hao Wang
Journal:  Front Pharmacol       Date:  2020-02-03       Impact factor: 5.810

  4 in total

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