Conceptual and experimental issues in biased agonism.

Allosterism Biased agonism Efficacy Functional selectivity G protein coupled receptors Receptor theory

Journal

Cellular signalling
ISSN: 1873-3913
Titre abrégé: Cell Signal
Pays: England
ID NLM: 8904683

Informations de publication

Date de publication:
06 2021
Historique:
received: 23 11 2020
revised: 20 01 2021
accepted: 14 02 2021
pubmed: 20 2 2021
medline: 18 1 2022
entrez: 19 2 2021
Statut: ppublish

Résumé

In this review, we discuss the theoretical and experimental foundations for assessing agonism in the context of signalling bias in GPCRs. We show that the formulation of efficacy in classical receptor theory and the definition of ligand-induced allosteric effect in chemical thermodynamics are coincident measures of agonism, only if we recognize that the classical model cannot be considered as a mechanistic description of the physicochemical events underlying ligand-receptor signalling. It represents instead a mathematical tool, fortuitously capable of extracting efficacy information from concentration-dependent functional data, where both ligand-dependent and ligand-independent information are present. We also assert that dissecting efficacy from affinity, as originally advocated in classical theory, is imperative for understanding the molecular property underlying agonism, and the biased agonism that leads to preferential formation of diverse GPCR-transducer complexes. Finally, we argue that beyond the assumed translational value of functional selectivity (i.e. signalling bias), the identification of ligands with true bias of efficacy is of fundamental importance for unravelling the conformational space that determines the complex functional chemistry of GPCRs.

Identifiants

pubmed: 33607257
pii: S0898-6568(21)00043-7
doi: 10.1016/j.cellsig.2021.109955
pii:
doi:

Substances chimiques

Ligands 0
Receptors, G-Protein-Coupled 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

109955

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

H Ongun Onaran (HO)

Ankara University, Faculty of Medicine, Department of Pharmacology, Molecular Biology and Technology Development Unit, Ankara, Turkey. Electronic address: onaran@medicine.ankara.edu.tr.

Tommaso Costa (T)

Viale America 111, 00144 Rome, Italy.

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Classifications MeSH