Literature DB >> 1309878

In vivo characterization of the pharmacodynamic interaction of a benzodiazepine agonist and antagonist: midazolam and flumazenil.

J W Mandema1, E Tukker, M Danhof.   

Abstract

The pharmacokinetic and pharmacodynamic interaction between the benzodiazepine agonist midazolam and antagonist flumazenil was quantified in vivo in rats, using effect parameters derived from aperiodic EEG analysis. The benzodiazepine-induced increase in amplitudes in the 11.5 to 30 Hz (beta) frequency band of the EEG was used as effect measure. A competitive interaction model was derived that could describe and predict the time course of EEG effect after administration of several combinations of midazolam and flumazenil. Two approaches to derive the interaction model were evaluated. In a first experiment, rats received 10 or 20 mg/kg midazolam i.v. in 15 min during a steady-state infusion of flumazenil at a rate of 0, 0.25, 0.5 or 1 mg/kg/hr. The EEG was continuously measured and frequent blood samples were taken to determine the pharmacokinetics of the drugs. Flumazenil did not influence the pharmacokinetics of midazolam, but a significant reduction in the clearance of flumazenil was observed in the presence of midazolam. Flumazenil did not possess any intrinsic efficacy with regard to the EEG effect measure. With increasing flumazenil concentrations, a parallel shift in the concentration-EEG effect relationship of midazolam was observed, confirming the competitive nature of the interaction. An agonist-antagonist interaction model was used to quantify the interaction, yielding the pharmacodynamic parameters of midazolam [(mean +/- S.E.): Emax = 80 +/- 5 microV/sec, EC50 = 35 +/- 3 ng/ml and N = 1.1 +/- 0.2] and flumazenil: EC50 = 24 +/- 2 ng/ml and N = 1.6 +/- 0.1. In a second experiment, rats received 5 mg/kg flumazenil or placebo i.v. in 10 min during a steadystate infusion of midazolam.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1992        PMID: 1309878

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


  11 in total

1.  Rate of change of blood concentrations is a major determinant of the pharmacodynamics of midazolam in rats.

Authors:  A Cleton; D Mazee; R A Voskuyl; M Danhof
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Review 2.  Electroencephalogram effect measures and relationships between pharmacokinetics and pharmacodynamics of centrally acting drugs.

Authors:  J W Mandema; M Danhof
Journal:  Clin Pharmacokinet       Date:  1992-09       Impact factor: 6.447

3.  Propagation of population pharmacokinetic information using a Bayesian approach: comparison with meta-analysis.

Authors:  Aristides Dokoumetzidis; Leon Aarons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-08       Impact factor: 2.745

4.  Population pharmacokinetic analysis for simultaneous determination of B (max) and K (D) in vivo by positron emission tomography.

Authors:  Lia C Liefaard; Bart A Ploeger; Carla F M Molthoff; Ronald Boellaard; Adriaan A Lammertsma; Meindert Danhof; Rob A Voskuyl
Journal:  Mol Imaging Biol       Date:  2005 Nov-Dec       Impact factor: 3.488

Review 5.  Pharmacokinetic-pharmacodynamic modelling in anaesthesia.

Authors:  Pedro L Gambús; Iñaki F Trocóniz
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

Review 6.  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

Review 7.  Pharmacokinetic-pharmacodynamic modelling in pre-clinical investigations: principles and perspectives.

Authors:  M Danhof; J W Mandema; A Hoogerkamp; R A Mathôt
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1993 Jan-Mar       Impact factor: 2.441

Review 8.  Pharmacokinetic-pharmacodynamic relationships for benzodiazepines.

Authors:  B E Laurijssens; D J Greenblatt
Journal:  Clin Pharmacokinet       Date:  1996-01       Impact factor: 6.447

9.  Mechanism-based pharmacodynamic modeling of the interaction of midazolam, bretazenil, and zolpidem with ethanol.

Authors:  Bert Tuk; Toon van Gool; Meindert Danhof
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-06       Impact factor: 2.745

10.  Modelling of the pharmacodynamic interaction of an A1 adenosine receptor agonist and antagonist in vivo: N6-cyclopentyladenosine and 8-cyclopentyltheophylline.

Authors:  S Appel; R A Mathôt; M W Langemeijer; A P IJzerman; M Danhof
Journal:  Br J Pharmacol       Date:  1995-08       Impact factor: 8.739

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