Estimation of the receptor-state affinity constants of ligands in functional studies using wild type and constitutively active mutant receptors: Implications for estimation of agonist bias.

Autor: Ehlert FJ; Department of Pharmacology, School of Medicine, University of California, Irvine, Irvine, CA 92697-4625, United States; Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA 92697-4625, United States. Electronic address: fjehlert@uci.edu., Stein RS; Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA 92697-4625, United States.
Jazyk: angličtina
Zdroj: Journal of pharmacological and toxicological methods [J Pharmacol Toxicol Methods] 2017 Jan - Feb; Vol. 83, pp. 94-106. Date of Electronic Publication: 2016 Oct 07.
DOI: 10.1016/j.vascn.2016.09.007
Abstrakt: We describe a method for estimating the affinities of ligands for active and inactive states of a G protein-coupled receptor (GPCR). Our protocol involves measuring agonist-induced signaling responses of a wild type GPCR and a constitutively active mutant of it under control conditions and after partial receptor inactivation or reduced receptor expression. Our subsequent analysis is based on the assumption that the activating mutation increases receptor isomerization into the active state without affecting the affinities of ligands for receptor states. A means of confirming this assumption is provided. Global nonlinear regression analysis yields estimates of 1) the active (K act ) and inactive (K inact ) receptor-state affinity constants, 2) the isomerization constant of the unoccupied receptor (K q-obs ), and 3) the sensitivity constant of the signaling pathway (K E-obs ). The latter two parameters define the output response of the receptor, and hence, their ratio (K q-obs /K E ) is a useful measure of system bias. If the cellular system is reasonably stable and the K q-obs and K E-obs values of the signaling pathway are known, the K act and K inact values of additional agonists can be estimated in subsequent experiments on cells expressing the wild type receptor. We validated our method through computer simulation, an analytical proof, and analysis of previously published data. Our approach provides 1) a more meaningful analysis of structure-activity relationships, 2) a means of validating in silico docking experiments on active and inactive receptor structures and 3) an absolute, in contrast to relative, measure of agonist bias.
(Copyright © 2016 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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