Evidence map›Paper›PMID 29635340›Full record

ArticleThe international journal of neuropsychopharmacology2018

Structurally Related Kappa Opioid Receptor Agonists with Substantial Differential Signaling Bias: Neuroendocrine and Behavioral Effects in C57BL6 Mice.

Amelia D Dunn, Brian Reed, Catherine Guariglia, Alexandra M Dunn, Joshua M Hillman, Mary Jeanne Kreek

Open access · goldAbstract read
In one paragraph

Article in The international journal of neuropsychopharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Kappa opioid receptor control of motivated behavior revisited.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  3. Opioid Receptors Modulate Inhibition within the Prefrontal Cortex through Dissociable Cellular and Molecular Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. Review
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  18. Review
  19. Strategies for DevelopingThe Journal of pharmacology and experimental therapeutics · 2020
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Amelia D DunnLaboratory of the Biology of Addictive Diseases, Rockefeller University, New York, New York.
Brian ReedLaboratory of the Biology of Addictive Diseases, Rockefeller University, New York, New York.
Catherine GuarigliaLaboratory of the Biology of Addictive Diseases, Rockefeller University, New York, New York.
Alexandra M DunnLaboratory of the Biology of Addictive Diseases, Rockefeller University, New York, New York.
Joshua M HillmanLaboratory of the Biology of Addictive Diseases, Rockefeller University, New York, New York.
Mary Jeanne KreekLaboratory of the Biology of Addictive Diseases, Rockefeller University, New York, New York.
Rockefeller University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The kappa opioid receptor system has been revealed as a potential pharmacotherapeutic target for the treatment of addictions to substances of abuse. Kappa opioid receptor agonists have been shown to block the rewarding and dopamine-releasing effects of psychostimulants. Recent investigations have profiled the in vivo effects of compounds biased towards G-protein-mediated signaling, with less potent arrestin-mediated signaling. The compounds studied here derive from a series of trialkylamines: N-substituted-N- phenylethyl-N-3-hydroxyphenylethyl-amine, with N-substituents including n-butyl (BPHA), methylcyclobutyl (MCBPHA), and methylcyclopentyl (MCPPHA). Methods: BPHA, MCBPHA, and MCPPHA were characterized in vitro in a kappa opioid receptor-expressing cell line in binding assays and functional assays. We also tested the compounds in C57BL6 mice, assaying incoordination with rotarod, as well as circulating levels of the neuroendocrine kappa opioid receptor biomarker, prolactin. Results: BPHA, MCBPHA, and MCPPHA showed full kappa opioid receptor agonism for G-protein coupling compared with the reference compound U69,593. BPHA showed no measurable β-arrestin-2 recruitment, indicating that it is extremely G-protein biased. MCBPHA and MCPPHA, however, showed submaximal efficacy for recruiting β-arrestin-2. Studies in C57BL6 mice reveal that all compounds stimulate release of prolactin, consistent with dependence on G-protein signaling. MCBPHA and MCPPHA result in rotarod incoordination, whereas BPHA does not, consistent with the reported requirement of intact kappa opioid receptor/β-arrestin-2 mediated coupling for kappa opioid receptor agonist-induced rotarod incoordination. Conclusions: BPHA, MCBPHA, and MCPPHA are thus novel differentially G-protein-biased kappa opioid receptor agonists. They can be used to investigate how signaling pathways mediate kappa opioid receptor effects in vitro and in vivo and to explore the effects of candidate kappa opioid receptor-targeted pharmacotherapeutics.

Indexed as

3,4-Dichloro-N-methyl-N-(2-(1-pyrrolidinyl)-cyclohexyl)-benzeneacetamide, (trans)-IsomerAnalgesics, OpioidAnimalsBenzamidesbeta-Arrestin 2Cell Line, TumorCHO CellsCricetulusDose-Response Relationship, DrugDrug Evaluation, PreclinicalHumansMaleMice, Inbred C57BLMotor SkillsPhenethylaminesProlactin3,4-Dichloro-N-methyl-N-(2-(1-pyrrolidinyl)-cyclohexyl)-benzeneacetamide, (trans)-IsomerAnalgesics, OpioidBenzamidesbeta-Arrestin 2LY 2444296PhenethylaminesProlactinReceptors, Opioid, kappa

Identifiers

PMID29635340
PMCPMC6119295
OpenAlexW2795881586

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.