Literature DB >> 10525070

Pharmacokinetic-pharmacodynamic modeling of tolerance to the prolactin-secreting effect of chlorprothixene after different modes of drug administration.

M Bagli1, R Süverkrüp, R Quadflieg, G Höflich, S Kasper, H J Möller, M Langer, U Barlage, M L Rao.   

Abstract

The objective of this study was the construction of a pharmacokinetic-pharmacodynamic model to describe the effects of chlorprothixene on prolactin secretion and the time-dependent alterations in the concentration-effect relationship due to tolerance development. Prolactin and chlorprothixene serum concentrations were determined in eight healthy men for up to 72 h after the intravenous and oral administration of chlorprothixene. An integrated pharmacokinetic model and a physiological indirect pharmacodynamic/tolerance model were applied to describe the prolactin-secreting effect of chlorprothixene. A three-compartment model served as pharmacokinetic model. The pharmacodynamic and tolerance model accounted for the baseline effect, the effect induced by the drug, and the regulatory mechanism that opposes the effect of the drug. This model adequately characterized the prolactin response after intravenous and oral drug administration of each individual by the sensitivity (dissociation constant), the efficacy (maximal prolactin secretion rate), the extent, and the rate of tolerance development. We speculate that this approach improves the quality of neuroendocrine challenge tests to determine the subject's sensitivity to drugs and the time course of adaptation.

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Year:  1999        PMID: 10525070

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  7 in total

1.  Influence of arterial vs. venous sampling site on nicotine tolerance model selection and parameter estimation.

Authors:  Franziska Schaedeli; Maria Pitsiu; Neal L Benowitz; Steven G Gourlay; Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-02       Impact factor: 2.745

2.  Comparison of the agonist-antagonist interaction model and the pool model for the effect of remoxipride on prolactin.

Authors:  Guangli Ma; Lena E Friberg; Gunilla Movin-Osswald; Mats O Karlsson
Journal:  Br J Clin Pharmacol       Date:  2010-12       Impact factor: 4.335

3.  Acepromazine and Chlorpromazine as Pharmaceutical-grade Alternatives to Chlorprothixene for Pupillary Light Reflex Imaging in Mice.

Authors:  Samantha S Eckley; Jason S Villano; Nora S Kuo; Kwoon Y Wong
Journal:  J Am Assoc Lab Anim Sci       Date:  2020-01-08       Impact factor: 1.232

4.  Predictions of in vivo prolactin levels from in vitro K(i) values of D(2) receptor antagonists using an agonist-antagonist interaction model.

Authors:  Klas J Petersson; An M Vermeulen; Lena E Friberg
Journal:  AAPS J       Date:  2013-02-08       Impact factor: 4.009

5.  Mechanism-based PK-PD model for the prolactin biological system response following an acute dopamine inhibition challenge: quantitative extrapolation to humans.

Authors:  Jasper Stevens; Bart A Ploeger; Margareta Hammarlund-Udenaes; Gunilla Osswald; Piet H van der Graaf; Meindert Danhof; Elizabeth C M de Lange
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-07-12       Impact factor: 2.745

6.  Classification of drugs based on properties of sodium channel inhibition: a comparative automated patch-clamp study.

Authors:  Nora Lenkey; Robert Karoly; Peter Lukacs; E Sylvester Vizi; Morten Sunesen; Laszlo Fodor; Arpad Mike
Journal:  PLoS One       Date:  2010-12-20       Impact factor: 3.240

7.  Modeling of prolactin response following dopamine D2 receptor antagonists in rats: can it be translated to clinical dosing?

Authors:  Amit Taneja; An Vermeulen; Dymphy R H Huntjens; Meindert Danhof; Elizabeth C M De Lange; Johannes H Proost
Journal:  Pharmacol Res Perspect       Date:  2017-12
  7 in total

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