Literature DB >> 9495871

Pharmacokinetic-pharmacodynamic modeling of the electroencephalogram effect of synthetic opioids in the rat: correlation with the interaction at the mu-opioid receptor.

E H Cox1, T Kerbusch, P H Van der Graaf, M Danhof.   

Abstract

The purpose of our investigation was to characterize the relationships between the pharmacodynamics of synthetic opioids in vivo and the interaction at the mu-opioid receptor. The pharmacokinetics and pharmacodynamics were determined in vivo after a single i.v. infusion of 3.14 mg/kg alfentanil (A), 0.15 mg/kg fentanyl (F) or 0.030 mg/kg sufentanil (S) in rats. Amplitudes in the 0.5 to 4.5 Hz frequency band of the electroencephalogram (EEG) was used as pharmacodynamic endpoint. The EEG effect intensity was related to the (free) concentration in blood (A) or in a hypothetical effect compartment (F, S) on basis of the sigmoidal Emax pharmacodynamic model. The interaction at the mu-opioid receptor was determined in vitro on basis of the displacement of [3H]-naloxone binding in washed rat brain membranes. The value of the sodium shift was used as a measure of in vitro intrinsic efficacy. For the EEG effect the in vivo potencies based on free drug concentrations (EC50,u) were 4.62 +/- 0.66 ng/ml (A), 0.69 +/- 0.05 ng/ml (F) and 0.29 +/- 0.06 ng/ml (S). In the receptor binding studies the affinities at the mu-opioid receptor (Kl) were 47.4 +/- 6.6 nM (A), 8.6 +/- 4.1 nM (F) and 2.8 +/- 0.2 nM (S). For each opioid the ratio between EC50,u and Kl was the same with a value of 0.23-0.25, indicating the existence of receptor reserve for the EEG effect. The intrinsic activity (Emax) of the three opioids in vivo was similar with values of 111 +/- 10 microV (A), 89 +/- 11 microV (F) and 104 +/- 4 microV (S). However, the values of the sodium shift varied between 2.8 (S) and 19.1 (A). Further analysis of the in vivo pharmacodynamic data on basis of an operational model of agonism provided evidence for a large receptor reserve, which explains why compounds with different values of the sodium shift all behave as full agonists in vivo.

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Year:  1998        PMID: 9495871

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


  20 in total

1.  Mechanism-based modeling of adaptive changes in the pharmacodynamics of midazolam in the kindling model of epilepsy.

Authors:  A Cleton; P H Van der Graaf; W Ghijsen; R Voskuyl; M Danhof
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2.  Pharmacokinetic-pharmacodynamic modeling of the electroencephalogram effect of imipenem in healthy rats.

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Journal:  Antimicrob Agents Chemother       Date:  2001-06       Impact factor: 5.191

Review 3.  Considerations in the use of cerebrospinal fluid pharmacokinetics to predict brain target concentrations in the clinical setting: implications of the barriers between blood and brain.

Authors:  Elizabeth C M de Lange; Meindert Danhof
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

4.  Mechanism-based pharmacokinetic-pharmacodynamic modeling-a new classification of biomarkers.

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Journal:  Pharm Res       Date:  2005-08-24       Impact factor: 4.200

Review 5.  Efficacy and ligand bias at the μ-opioid receptor.

Authors:  E Kelly
Journal:  Br J Pharmacol       Date:  2013-08       Impact factor: 8.739

6.  Pharmacokinetic-pharmacodynamic analysis of the EEG effect of alfentanil in rats following beta-funaltrexamine-induced mu-opioid receptor "knockdown" in vivo.

Authors:  M Garrido; J Gubbens-Stibbe; E Tukker; E Cox; J von Frijtag; D Künzel; A IJzerman; M Danhof; P H van der Graaf
Journal:  Pharm Res       Date:  2000-06       Impact factor: 4.200

7.  Influence of biophase distribution and P-glycoprotein interaction on pharmacokinetic-pharmacodynamic modelling of the effects of morphine on the EEG.

Authors:  D Groenendaal; J Freijer; D de Mik; M R Bouw; M Danhof; E C M de Lange
Journal:  Br J Pharmacol       Date:  2007-04-30       Impact factor: 8.739

8.  Competitive substrates for P-glycoprotein and organic anion protein transporters differentially reduce blood organ transport of fentanyl and loperamide: pharmacokinetics and pharmacodynamics in Sprague-Dawley rats.

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Journal:  Anesth Analg       Date:  2009-01       Impact factor: 5.108

9.  Pharmacokinetic-pharmacodynamic modeling of the effectiveness and safety of buprenorphine and fentanyl in rats.

Authors:  Ashraf Yassen; Erik Olofsen; Jingmin Kan; Albert Dahan; Meindert Danhof
Journal:  Pharm Res       Date:  2007-10-04       Impact factor: 4.200

Review 10.  Translational pain research: evaluating analgesic effect in experimental visceral pain models.

Authors:  Anne Estrup Olesen; Trine Andresen; Lona Louring Christrup; Richard N Upton
Journal:  World J Gastroenterol       Date:  2009-01-14       Impact factor: 5.742

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