ArticleMolecular pharmacology2014
Endocytic profiles of δ-opioid receptor ligands determine the duration of rapid but not sustained cAMP responses.
Article in Molecular pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Comprehensive Signaling Profiles Reveal Unsuspected Functional Selectivity of δ-Opioid Receptor Agonists and Allow the Identification of Ligands with the Greatest Potential for Inducing Cyclase Superactivation.ACS pharmacology & translational science · 2021Article
- Ligand-specific recycling profiles determine distinct potential for chronic analgesic tolerance of delta-opioid receptor (DOPr) agonists.Journal of cellular and molecular medicine · 2020Article
- Exploring use of unsupervised clustering to associate signaling profiles of GPCR ligands to clinical response.Nature communications · 2019Article
- The delta opioid receptor tool box.Neuroscience · 2016Review
- Molecular Pharmacology of δ-Opioid Receptors.Pharmacological reviews · 2016Review
- Agonist-Specific Recruitment of Arrestin Isoforms Differentially Modify Delta Opioid Receptor Function.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Cellular signalling of non-synonymous single-nucleotide polymorphisms of the human μ-opioid receptor (OPRM1).British journal of pharmacology · 2015Review
- Identifying ligand-specific signalling within biased responses: focus on δ opioid receptor ligands.British journal of pharmacology · 2015Review
- In vivo properties of KNT-127, a novel δ opioid receptor agonist: receptor internalization, antihyperalgesia and antidepressant effects in mice.British journal of pharmacology · 2014Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Traditional assays that monitor cAMP inhibition by opioid receptor ligands require second-messenger accumulation over periods of 10-20 minutes. Since receptor regulation occurs within a similar time frame, such assays do not discriminate the actual signal from its modulation. Here we used bioluminescence resonance energy transfer to monitor inhibition of cAMP production by δ-opioid receptor (DOR) agonists in real time. cAMP inhibition elicited by different agonists over a period of 15 minutes was biphasic, with response buildup during the first 6 to 7 minutes, followed by a second phase of response decay or of no further increment. The rate at which the cAMP response disappeared was correlated with operational parameters describing ligand efficiency [log(τ/KA)] to promote Gαi activation, as well as with ligand ability to promote internalization during the time course of the assay. Thus, ligands that displayed low signaling efficiency and poor sequestration(SB235863 ([8R-(4bS*,8aα,8aβ,12bβ)]7,10-dimethyl-1-methoxy-11-(2-ethylpropyl)oxycarbonyl 5,6,7,8,12,12b-hexahydro-(9H)-4,8-methanobenzofuro[3,2-e]pyrrolo[2,3-g]isoquinoline hydrochloride), morphine) had minimal or no response decay. On the other hand, the decay rate was pronounced for deltorphin II, [d-Pen(2), d-pen(5)]-enkephalin, met-enkephalin, and SNC-80 ((+)-4-[(αR)-α-((2S,5R)-4-allyl-2,5-dimethyl-1-piperazinyl)-3-methoxybenzyl]-N,N-diethylbenzamide), which displayed high signaling efficiency and internalization. Moreover, inhibition of internalization by dynasore reduced or abolished response decay by internalizing ligands. Unlike acute responses, endocytic profiles were not predictive of whether an agonist would induce prolonged cAMP inhibition over sustained (30-120 minutes) DOR stimulation. Taken together, the data indicate that ligand ability to evoke G-protein activation or promote endocytosis was predictive of response duration over short, but not over sustained periods of cAMP inhibition.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.