Literature DB >> 8335038

Pharmacokinetic-pharmacodynamic modelling in pre-clinical investigations: principles and perspectives.

M Danhof1, J W Mandema, A Hoogerkamp, R A Mathôt.   

Abstract

A new approach to preclinical pharmacodynamic investigations is presented which allows, in addition to information on the nature of the pharmacological properties of new chemical entities, also important quantitative pharmacodynamic information to be derived. A single intravenous dose is administered to chronically instrumented rats and the time course of the pharmacological effect is determined in conjunction with plasma or serum concentrations. Datasets obtained in this way are subjected to simultaneous pharmacokinetic/pharmacodynamic modelling to obtain estimates of pharmacodynamic parameters such as EC50, Emax, Hill factor and the rate of biophase equilibration. The new approach was applied in studies with benzodiazepines, baclofen, antiepileptic drugs and adenosine receptor agonists and antagonists. In these studies quantitative EEG parameters, the threshold for convulsion as determined by direct cortical stimulation and various haemodynamic variables were used as a pharmacodynamic endpoint. For drugs exhibiting agonistic or inverse agonistic properties, realistic estimates of the potency and intrinsic efficacy could be obtained by modelling of the direct effects in the various effect models. Estimates of the potency of competitive antagonists (e.g. flumazenil, cyclopentyl-theophylline) could be obtained on the basis of modelling of the pharmacodynamic interaction with a full agonist. For baclofen finally also the rate of biophase equilibration could be estimated. The results of these studies show that by implementation of pharmacokinetic-pharmacodynamic modelling in pre-clinical investigations, useful quantitative information on the pharmacodynamics of new drugs in vivo can be obtained. It is suggested that this information may be of value in the early phases of pre-clinical drug development and that it may facilitate the subsequent clinical development process.

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Year:  1993        PMID: 8335038     DOI: 10.1007/BF03220007

Source DB:  PubMed          Journal:  Eur J Drug Metab Pharmacokinet        ISSN: 0378-7966            Impact factor:   2.441


  15 in total

1.  Pharmacokinetic-pharmacodynamic modelling of the EEG effects of midazolam in individual rats: influence of rate and route of administration.

Authors:  J W Mandema; E Tukker; M Danhof
Journal:  Br J Pharmacol       Date:  1991-03       Impact factor: 8.739

2.  A system approach to pharmacodynamics. III: An algorithm and computer program, COLAPS, for pharmacodynamic modeling.

Authors:  P Veng-Pedersen; J W Mandema; M Danhof
Journal:  J Pharm Sci       Date:  1991-05       Impact factor: 3.534

3.  Pharmacokinetic-pharmacodynamic modeling of the central nervous system effects of heptabarbital using aperiodic EEG analysis.

Authors:  J W Mandema; M Danhof
Journal:  J Pharmacokinet Biopharm       Date:  1990-10

4.  An electroencephalographic processing algorithm specifically intended for analysis of cerebral electrical activity.

Authors:  T K Gregory; D C Pettus
Journal:  J Clin Monit       Date:  1986-07

5.  Pharmacodynamic characterization of the electroencephalographic effects of thiopental in rats.

Authors:  W F Ebling; M Danhof; D R Stanski
Journal:  J Pharmacokinet Biopharm       Date:  1991-04

6.  Modeling of the effect site equilibration kinetics and pharmacodynamics of racemic baclofen and its enantiomers using quantitative EEG effect measures.

Authors:  J W Mandema; C D Heijligers-Feijen; E Tukker; A G De Boer; M Danhof
Journal:  J Pharmacol Exp Ther       Date:  1992-04       Impact factor: 4.030

7.  In vivo modeling of the pharmacodynamic interaction between benzodiazepines which differ in intrinsic efficacy.

Authors:  J W Mandema; M T Kuck; M Danhof
Journal:  J Pharmacol Exp Ther       Date:  1992-04       Impact factor: 4.030

8.  Differences in intrinsic efficacy of benzodiazepines are reflected in their concentration-EEG effect relationship.

Authors:  J W Mandema; M T Kuck; M Danhof
Journal:  Br J Pharmacol       Date:  1992-01       Impact factor: 8.739

9.  Pharmacokinetic-pharmacodynamic modelling of the anticonvulsant effect of oxazepam in individual rats.

Authors:  J Dingemanse; R A Voskuyl; M W Langemeijer; I Postel-Westra; D D Breimer; H Meinardi; M Danhof
Journal:  Br J Pharmacol       Date:  1990-01       Impact factor: 8.739

10.  Properties of the convulsive threshold determined by direct cortical stimulation in rats.

Authors:  R A Voskuyl; A Hoogerkamp; M Danhof
Journal:  Epilepsy Res       Date:  1992-07       Impact factor: 3.045

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  6 in total

Review 1.  Relevance of the application of pharmacokinetic-pharmacodynamic modelling concepts in drug development. The "wooden shoe' paradigm.

Authors:  D D Breimer; M Danhof
Journal:  Clin Pharmacokinet       Date:  1997-04       Impact factor: 6.447

2.  Pharmacokinetic-pharmacodynamic modelling in the early development phase of anti-psychotics: a comparison of the effects of clozapine, S 16924 and S 18327 in the EEG model in rats.

Authors:  T J Parker; O E Della Pasqua ; E Loizillon; C Chezaubernard; R Jochemsen; M Danhof
Journal:  Br J Pharmacol       Date:  2001-01       Impact factor: 8.739

Review 3.  Pharmacokinetic and pharmacodynamic data and models in clinical trials.

Authors:  J L Steimer; M E Ebelin; J Van Bree
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1993 Jan-Mar       Impact factor: 2.441

4.  Iontophoretic delivery of apomorphine. I: In vitro optimization and validation.

Authors:  R van der Geest; M Danhof; H E Boddé
Journal:  Pharm Res       Date:  1997-12       Impact factor: 4.200

Review 5.  Toward the prediction of CNS drug-effect profiles in physiological and pathological conditions using microdialysis and mechanism-based pharmacokinetic-pharmacodynamic modeling.

Authors:  Elizabeth C M de Lange; Paulien G M Ravenstijn; Dorien Groenendaal; Tamara J van Steeg
Journal:  AAPS J       Date:  2005-10-07       Impact factor: 4.009

Review 6.  Partial agonists for A(3) adenosine receptors.

Authors:  Zhan-Guo Gao; Kenneth A Jacobson
Journal:  Curr Top Med Chem       Date:  2004       Impact factor: 3.295

  6 in total

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