2016
DOI: 10.1016/j.bcp.2015.11.013
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Quantification of adenosine A 1 receptor biased agonism: Implications for drug discovery

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Cited by 59 publications
(91 citation statements)
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“…A 1 AR-biased agonism has been previously investigated (Langemeijer et al, 2013;Valant et al, 2014;Baltos et al, 2016) and recently demonstrated to allow for the selective stimulation of cardioprotective signal transduction in the absence of the adverse hemodynamic effects commonly associated with A 1 AR therapies (Valant et al, 2014). The current study has identified a range of bias profiles for subtype selective A 3 AR agonists, which offer a potential therapeutic advantage.…”
Section: Discussionmentioning
confidence: 85%
“…A 1 AR-biased agonism has been previously investigated (Langemeijer et al, 2013;Valant et al, 2014;Baltos et al, 2016) and recently demonstrated to allow for the selective stimulation of cardioprotective signal transduction in the absence of the adverse hemodynamic effects commonly associated with A 1 AR therapies (Valant et al, 2014). The current study has identified a range of bias profiles for subtype selective A 3 AR agonists, which offer a potential therapeutic advantage.…”
Section: Discussionmentioning
confidence: 85%
“…At the molecular level, biased agonism is thought to arise due to the stabilization of different active receptor conformations, leading to the engagement of an alternative subset of intracellular effectors, and in turn, the activation of differential signalling pathways (Figure ). Much of the early work on GPCR bias examined G protein‐dependent versus G protein‐independent β‐arrestin signalling (Kenakin and Christopoulos, ); however, it is also recognized that ligand bias can be detected within G protein‐dependent pathways (Baltos et al, ).…”
Section: New Paradigms In Adenosine Receptor Pharmacologymentioning
confidence: 99%
“…The recognition that observed bias is influenced by cellular context also gives rise to the idea of context‐dependent bias, whereby, conceivably, the receptor bias can change with alterations in membrane composition and intracellular signalling complement, for example, as a consequence of disease progression. However, the generation of bias fingerprints does provide the opportunity to screen and identify compounds that display a distinct profile from the endogenous ligand and are therefore more likely to engender different pharmacological outcomes, presenting a promising starting point with which to move lead compounds into more physiologically relevant in vitro and in vivo models (Baltos et al, ).…”
Section: New Paradigms In Adenosine Receptor Pharmacologymentioning
confidence: 99%
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