Wall, Mark J; Hill, Emily; Huckstepp, Robert; Barkan, Kerry; Deganutti, Giuseppe; Leuenberger, Michele; Preti, Barbara; Winfield, Ian; Carvalho, Sabrina; Suchankova, Anna; Wei, Haifeng; Safitri, Dewi; Huang, Xianglin; Imlach, Wendy; La Mache, Circe; Dean, Eve; Hume, Cherise; Hayward, Stephanie; Oliver, Jess; Zhao, Fei-Yue; ... (2022). Selective activation of Gαob by an adenosine A1 receptor agonist elicits analgesia without cardiorespiratory depression. Nature communications, 13(1), p. 4150. Nature Publishing Group 10.1038/s41467-022-31652-2
|
Text
s41467-022-31652-2.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (5MB) | Preview |
The development of therapeutic agonists for G protein-coupled receptors (GPCRs) is hampered by the propensity of GPCRs to couple to multiple intracellular signalling pathways. This promiscuous coupling leads to numerous downstream cellular effects, some of which are therapeutically undesirable. This is especially the case for adenosine A1 receptors (A1Rs) whose clinical potential is undermined by the sedation and cardiorespiratory depression caused by conventional agonists. We have discovered that the A1R-selective agonist, benzyloxy-cyclopentyladenosine (BnOCPA), is a potent and powerful analgesic but does not cause sedation, bradycardia, hypotension or respiratory depression. This unprecedented discrimination between native A1Rs arises from BnOCPA's unique and exquisitely selective activation of Gob among the six Gαi/o subtypes, and in the absence of β-arrestin recruitment. BnOCPA thus demonstrates a highly-specific Gα-selective activation of the native A1R, sheds new light on GPCR signalling, and reveals new possibilities for the development of novel therapeutics based on the far-reaching concept of selective Gα agonism.
Item Type: |
Journal Article (Original Article) |
---|---|
Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Biochemistry and Molecular Medicine |
UniBE Contributor: |
Leuenberger, Michele, Preti, Barbara, Lochner, Martin |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health 000 Computer science, knowledge & systems |
ISSN: |
2041-1723 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
25 Jul 2022 13:32 |
Last Modified: |
05 Dec 2022 16:22 |
Publisher DOI: |
10.1038/s41467-022-31652-2 |
PubMed ID: |
35851064 |
BORIS DOI: |
10.48350/171482 |
URI: |
https://boris.unibe.ch/id/eprint/171482 |