Evidence map›Paper›PMID 29922742›Full record

ArticlePain reports2018

Biased agonism: the quest for the analgesic holy grail.

M Alexander Stanczyk, Ram Kandasamy

Abstract read
In one paragraph

Article in Pain reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
  2. Essential role of P-glycoprotein in the mechanism of action of oliceridine.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  3. Review
  4. Review
  5. Review
  6. Opioid Receptors and Protonation-Coupled Binding of Opioid Drugs.International journal of molecular sciences · 2021
    Review
  7. Review
  8. Article
  9. Biased Opioid Ligands.Molecules (Basel, Switzerland) · 2020
    Review
  10. Article
  11. A Biased View ofMolecular pharmacology · 2019
    Review
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

2 authors.

M Alexander StanczykDepartment of Pharmacology and Edward F. Domino Research Center, University of Michigan Medical School, Ann Arbor, MI, USA.
Ram KandasamyDepartment of Pharmacology and Edward F. Domino Research Center, University of Michigan Medical School, Ann Arbor, MI, USA.

Funding

INTERDEPARTMENTAL TRAINING IN PHARMACOLOGICAL SCIENCEST32GM007767 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ISOM, LORI L. · 1985 to 2019
$10.2M
POSTDOCTORAL TRAINING IN THE BIOLOGY OF DRUG ABUSET32DA007268 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TRAYNOR, JOHN R. · 1991 to 2021
$6.7M
Allosteric Modulation of the Mu-Opioid ReceptorR37DA039997 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TRAYNOR, JOHN R. · 2015 to 2024
$6.4M
Interdepartmental Training in Pharmacological SciencesT32GM140223 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lori L Isom · 2021 to 2026
$3.8M
NIDA NIH HHS R37 DA039997NIDA NIH HHS T32 DA007268NIGMS NIH HHS T32 GM007767NIGMS NIH HHS T32 GM140223
6 · The paper itself

Abstract

Opioids alleviate pain, but adverse effects severely limit their usefulness. To solve this problem, biased ligands favoring 1 signaling pathway downstream of the μ-opioid receptor over another are being developed. In the target article, the authors synthesize compounds that preferentially activate G-protein or β-arrestin signaling. They find that increased bias towards G-protein signaling produces better antinociception with minimal side effects in mice models. G-protein-biased opioids may provide a safer treatment strategy.

Indexed as

BiasFunctional selectivityOpioidSignaling

Identifiers

PMID29922742
PMCPMC5999417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.