G.L. Thompson
Systematic analysis of factors influencing observations of biased agonism at the mu-opioid receptor
Thompson, G.L.; Lane, J.R.; Coudrat, T.; Sexton, P.M.; Christopoulos, A.; Canals, M.
Authors
J.R. Lane
T. Coudrat
P.M. Sexton
A. Christopoulos
Professor MERITXELL CANALS M.CANALS@NOTTINGHAM.AC.UK
PROFESSOR OF CELLULAR PHARMACOLOGY
Abstract
Biased agonism describes the ability of distinct G protein-coupled receptor (GPCR) ligands to stabilise distinct receptor conformations leading to the activation of different cell signalling pathways that can deliver different physiologic outcomes. This phenomenon is having a major impact on modern drug discovery as it offers the potential to design ligands that selectively activate or inhibit the signalling pathways linked to therapeutic effects with minimal activation or blockade of signalling pathways that are linked to the development of adverse on-target effects. However, the explosion in studies of biased agonism at multiple GPCR families in recombinant cell lines has revealed a high degree of variability on descriptions of biased ligands at the same GPCR and raised the question of whether biased agonism is a fixed attribute of a ligand in all cell types. The current study addresses this question at the mu-opioid receptor (MOP). Here, we have systematically assessed the impact of differential cellular protein complement (and cellular background), signalling kinetics and receptor species on our previous descriptions of biased agonism at MOP by several opioid peptides and synthetic opioids. Our results show that all these factors need to be carefully determined and reported when considering biased agonism. Nevertheless, our studies also show that, despite changes in overall signalling profiles, ligands that previously showed distinct bias profiles at MOP retained their uniqueness across different cell backgrounds. © 2016 Elsevier Inc.
Citation
Thompson, G., Lane, J., Coudrat, T., Sexton, P., Christopoulos, A., & Canals, M. (2016). Systematic analysis of factors influencing observations of biased agonism at the mu-opioid receptor. Biochemical Pharmacology, 113, 70-87. https://doi.org/10.1016/j.bcp.2016.05.014
Journal Article Type | Article |
---|---|
Acceptance Date | May 31, 2016 |
Online Publication Date | Jun 7, 2016 |
Publication Date | Aug 1, 2016 |
Deposit Date | Jan 17, 2020 |
Print ISSN | 0006-2952 |
Electronic ISSN | 1873-2968 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 113 |
Pages | 70-87 |
DOI | https://doi.org/10.1016/j.bcp.2016.05.014 |
Keywords | Biased agonism; Cell signalling; G protein-coupled receptors; Opioid receptor; adenylate cyclase; alpha neoendorphin; beta arrestin 1; beta arrestin 2; cell protein; endomorphin 1; endomorphin 2; enkephalin[2 dextro alanine 4 methylphenylalanine 5 glycine]; G protein coupled receptor; loperamide; metenkephalin; metenkephalin derivative; morphine; mu opiate receptor; opiate; alpha-neoendorphin; endorphin; enkephalin-Met, Arg(6)-Phe(7)-; ligand; metenkephalin; mu opiate receptor; narcotic analgesic agent; opiate peptide; protein precursor; animal cell; Article; biased agonism; controlled study; drug receptor binding; internalization; intracellular signaling; kinetic parameters; ligand binding; nonhuman; priority journal; protein conformation; protein family; therapy effect; agonists; analogs and derivatives; animal; CHO cell line; Cricetulus; drug development; drug effects; genetics; membrane potential; metabolism; signal transduction; Analgesics, Opioid; Animals; CHO Cells; Cricetulus; Drug Discovery; Endorphins; Enkephalin, Methionine; Ligands; Membrane Potentials; Opioid Peptides; Protein Precursors; Receptors, Opioid, mu; Signal Transduction |
Public URL | https://nottingham-repository.worktribe.com/output/1311866 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0006295216301071 |
Related Public URLs | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976640602&doi=10.1016%2fj.bcp.2016.05.014&partnerID=40&md5=3e508b73e42a3918f8880b41d925cb53 |
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