Literature DB >> 17134886

Population pharmacokinetic model of fluvoxamine in rats: utility for application in animal behavioral studies.

Marian Geldof1, Jan Freijer, Ludy van Beijsterveldt, Philip Timmerman, Abdellah Ahnaou, Wilhelmus H I M Drinkenburg, Meindert Danhof.   

Abstract

The limitations of blood sampling in pharmacokinetic (PK)/pharmacodynamic (PD) studies in behavioral animal models could in part be overcome by a mixed effects modeling approach. This analysis characterizes and evaluates the population PK of fluvoxamine in rat plasma using nonlinear mixed effects modeling. The model is assessed for its utility in animal behavioral PK/PD studies. In six studies with a different experimental setup, study site and/or sampling design, rats received an intravenous infusion of 1, 3.7 or 7.3mg/kg fluvoxamine. A population three-compartment PK model adequately described the fluvoxamine plasma concentrations. Body weight was included as a covariate and mean population PK parameters for CL, V(1), V(2), Q(2), V(3) and Q(3) were 25.1 ml/min, 256 ml, 721 ml, 30.3 ml/min, 136 ml and 1.0 ml/min, respectively. Inter-individual variability was identified on CL (39.5%), V(1) (43.5%), V(2) (50.1%) and Q(2) (25.7%). A predictive check and bootstrap analysis confirmed the predictive ability, model stability and precision of the parameter estimates. Body weight was identified as a significant covariate of the inter-compartmental clearance Q(2). The pharmacokinetics was independent of factors such as dose, surgery (for instrumentation) and study site. The utility of the model in animal behavioral studies was demonstrated in a PK/PD analysis of the effects on REM sleep in which a sparse PK sampling design was used. By using the pertinent information from the population PK model, individual PK profiles and the PK/PD correlation could be adequately described.

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Year:  2006        PMID: 17134886     DOI: 10.1016/j.ejps.2006.10.001

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  6 in total

1.  Development of a Physiologically Based Pharmacokinetic/Pharmacodynamic Model to Predict the Impact of Genetic Polymorphisms on the Pharmacokinetics and Pharmacodynamics Represented by Receptor/Transporter Occupancy of Central Nervous System Drugs.

Authors:  Saeed Alqahtani; Amal Kaddoumi
Journal:  Clin Pharmacokinet       Date:  2016-08       Impact factor: 6.447

2.  Population pharmacokinetic model of the pregabalin-sildenafil interaction in rats: application of simulation to preclinical PK-PD study design.

Authors:  Gregor Bender; James Gosset; Jeff Florian; Keith Tan; Mark Field; Scott Marshall; Joost DeJongh; Robert Bies; Meindert Danhof
Journal:  Pharm Res       Date:  2009-08-11       Impact factor: 4.200

3.  HPLC method validation for the quantification of lomustine to study pharmacokinetics of thermosensitive liposome-encapsulated lomustine containing iohexol for CT imaging in C6 glioma rats.

Authors:  Luning Zhuang; Jing Gao; Yong Zeng; Fei Yu; Bingjie Zhang; Mu Li; Hartmut Derendorf; Changxiao Liu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-03-05       Impact factor: 2.441

4.  Pharmacokinetic modeling of non-linear brain distribution of fluvoxamine in the rat.

Authors:  Marian Geldof; Jan Freijer; Ludy van Beijsterveldt; Meindert Danhof
Journal:  Pharm Res       Date:  2007-08-21       Impact factor: 4.200

5.  Pharmacokinetic-pharmacodynamic modelling of fluvoxamine 5-HT transporter occupancy in rat frontal cortex.

Authors:  M Geldof; J I Freijer; L van Beijsterveldt; X Langlois; M Danhof
Journal:  Br J Pharmacol       Date:  2008-05-19       Impact factor: 8.739

6.  Differentiated effects of the multimodal antidepressant vortioxetine on sleep architecture: Part 1, a pharmacokinetic/pharmacodynamic comparison with paroxetine in healthy men.

Authors:  Sue Wilson; Astrid-Maria Højer; Jeppe Buchberg; Johan Areberg; David J Nutt
Journal:  J Psychopharmacol       Date:  2015-08-07       Impact factor: 4.153

  6 in total

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