Analysis of receptor inactivation experiments with the operational model of agonism yields correlated estimates of agonist affinity and efficacy

Citation
Ph. Van Der Graaf et Wb. Stam, Analysis of receptor inactivation experiments with the operational model of agonism yields correlated estimates of agonist affinity and efficacy, J PHARM TOX, 41(2-3), 1999, pp. 117-125
Citations number
37
Categorie Soggetti
Pharmacology & Toxicology
Journal title
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS
ISSN journal
10568719 → ACNP
Volume
41
Issue
2-3
Year of publication
1999
Pages
117 - 125
Database
ISI
SICI code
1056-8719(199904/06)41:2-3<117:AORIEW>2.0.ZU;2-P
Abstract
The aim of this study was to evaluate whether the operational model of agon ism can yield independent estimates of agonist affinity (pK(A)) and efficac y (log tau) when Furchgott's method of irreversible receptor inactivation i s employed. For this purpose, the interaction between noradrenaline and phe noxybenzamine was studied in rat small mesenteric artery using a paired-cur ve design. Phenoxybenzamine pretreatment produced a significant rightward s hift and depression of the upper asymptote of the noradrenaline concentrati on-effect (E/[A]) curve. Although the operational model of agonism appeared to provide an adequate fit of the individual E/[A] curves, a highly signif icant correlation was found between the estimates of pK(A) and log tau (r = -0.80, p < 0.0001), inconsistent with the assumption that affinity and eff icacy are independent parameters (best line fit: pK(A) = -0.96 x log tau 6.75). The pK(A) and log tau estimates were not correlated with either the pEC(50)s of the control curves or upper asymptotes of the phenoxybenzamine- treated curves. Simulations showed that the correlation between affinity an d efficacy can be explained by the effect on the outcome of the analysis of random errors in the response measurements. Therefore, although in theory the operational model of agonism should provide independent estimates of ag onist affinity and efficacy, this is unlikely to be the case with experimen tal data. (C) 1999 Elsevier Science Inc. All rights reserved.