Literature DB >> 27286929

Systematic analysis of factors influencing observations of biased agonism at the mu-opioid receptor.

Georgina L Thompson1, J Robert Lane2, Thomas Coudrat2, Patrick M Sexton2, Arthur Christopoulos3, Meritxell Canals4.   

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biased agonism; Cell signalling; G protein-coupled receptors; Opioid receptor

Mesh:

Substances:

Year:  2016        PMID: 27286929     DOI: 10.1016/j.bcp.2016.05.014

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  16 in total

Review 1.  A Biased View of μ-Opioid Receptors?

Authors:  Alexandra E Conibear; Eamonn Kelly
Journal:  Mol Pharmacol       Date:  2019-06-07       Impact factor: 4.436

2.  Factors influencing biased agonism in recombinant cells expressing the human α1A -adrenoceptor.

Authors:  Edilson Dantas da Silva Junior; Masaaki Sato; Jon Merlin; Natalie Broxton; Dana S Hutchinson; Sabatino Ventura; Bronwyn A Evans; Roger J Summers
Journal:  Br J Pharmacol       Date:  2017-06-10       Impact factor: 8.739

Review 3.  Functional selectivity at G-protein coupled receptors: Advancing cannabinoid receptors as drug targets.

Authors:  Srikrishnan Mallipeddi; David R Janero; Nikolai Zvonok; Alexandros Makriyannis
Journal:  Biochem Pharmacol       Date:  2016-11-24       Impact factor: 5.858

Review 4.  GPCR drug discovery: integrating solution NMR data with crystal and cryo-EM structures.

Authors:  Ichio Shimada; Takumi Ueda; Yutaka Kofuku; Matthew T Eddy; Kurt Wüthrich
Journal:  Nat Rev Drug Discov       Date:  2018-11-09       Impact factor: 84.694

5.  Biased signaling by endogenous opioid peptides.

Authors:  Ivone Gomes; Salvador Sierra; Lindsay Lueptow; Achla Gupta; Shawn Gouty; Elyssa B Margolis; Brian M Cox; Lakshmi A Devi
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-11       Impact factor: 11.205

6.  Real-time examination of cAMP activity at relaxin family peptide receptors using a BRET-based biosensor.

Authors:  Adam L Valkovic; Miranda B Leckey; Alice R Whitehead; Mohammed A Hossain; Asuka Inoue; Martina Kocan; Ross A D Bathgate
Journal:  Pharmacol Res Perspect       Date:  2018-09-24

7.  Temporal dependence of shifts in mu opioid receptor mobility at the cell surface after agonist binding observed by single-particle tracking.

Authors:  Marissa J Metz; Reagan L Pennock; Diego Krapf; Shane T Hentges
Journal:  Sci Rep       Date:  2019-05-13       Impact factor: 4.379

8.  Applications and limitations of fitting of the operational model to determine relative efficacies of agonists.

Authors:  Jan Jakubík; Alena Randáková; Vladimír Rudajev; Pavel Zimčík; Esam E El-Fakahany; Vladimír Doležal
Journal:  Sci Rep       Date:  2019-03-15       Impact factor: 4.379

9.  Buprenorphine: Far Beyond the "Ceiling".

Authors:  Rosmara Infantino; Consalvo Mattia; Pamela Locarini; Antonio Luigi Pastore; Sabatino Maione; Livio Luongo
Journal:  Biomolecules       Date:  2021-05-31

10.  Distinct roles of exogenous opioid agonists and endogenous opioid peptides in the peripheral control of neuropathy-triggered heat pain.

Authors:  Dominika Labuz; Melih Ö Celik; Andreas Zimmer; Halina Machelska
Journal:  Sci Rep       Date:  2016-09-08       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.