Evidence map›Paper›PMID 33074244›Full record

ArticleThe Journal of clinical investigation2020

Functional α6β4 acetylcholine receptor expression enables pharmacological testing of nicotinic agonists with analgesic properties.

Daniel Knowland, Shenyan Gu, William A Eckert, G Brent Dawe, Jose A Matta, James Limberis, Alan D Wickenden, Anindya Bhattacharya, David S Bredt

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2020. 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
0.7field-weighted citation impact, top 32% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Precision neuroscience.Nature biotechnology · 2025
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  5. "Unraveling the role ofReceptors (Basel, Switzerland) · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Daniel Knowland
Shenyan Gu
William A Eckert
G Brent Dawe
Jose A Matta
James Limberis
Alan D Wickenden
Anindya Bhattacharya
David S Bredt
Johnson & Johnson (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The α6β4 nicotinic acetylcholine receptor (nAChR) is enriched in dorsal root ganglia neurons and is an attractive non-opioid therapeutic target for pain. However, difficulty expressing human α6β4 receptors in recombinant systems has precluded drug discovery. Here, genome-wide screening identified accessory proteins that enable reconstitution of human α6β4 nAChRs. BARP, an auxiliary subunit of voltage-dependent calcium channels, promoted α6β4 surface expression while IRE1α, an unfolded protein response sensor, enhanced α6β4 receptor assembly. Effects on α6β4 involve BARP's N-terminal region and IRE1α's splicing of XBP1 mRNA. Furthermore, clinical efficacy of nicotinic agents in relieving neuropathic pain best correlated with their activity on α6β4. Finally, BARP-knockout, but not NACHO-knockout mice lacked nicotine-induced antiallodynia, highlighting the functional importance of α6β4 in pain. These results identify roles for IRE1α and BARP in neurotransmitter receptor assembly and unlock drug discovery for the previously elusive α6β4 receptor.

Indexed as

AnimalsCholinergic AgonistsEndoribonucleasesGene Expression RegulationHEK293 CellsHumansMembrane GlycoproteinsMiceMice, KnockoutProtein Serine-Threonine KinasesRatsReceptors, CholinergicRNA SplicingX-Box Binding Protein 1BARP protein, mouseCholinergic AgonistsEndoribonucleasesErn1 protein, mouseMembrane GlycoproteinsProtein Serine-Threonine KinasesReceptors, CholinergicX-Box Binding Protein 1Xbp1 protein, mouseIon channelsNeurosciencePain

Identifiers

PMID33074244
PMCPMC7598046
OpenAlexW3093266101

What OpenQuestion holds

Textmetadata
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.