Evidence map›Paper›PMID 34663954›Full record

ReviewNature reviews. Neuroscience2021

A neuropeptide code for itch.

Zhou-Feng Chen

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
12.6field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 95 citations in OpenAlex.

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  9. Hyaluronic Acid ProfhiloMedicina (Kaunas, Lithuania) · 2026
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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

1 author at 1 institution in 1 country.

Zhou-Feng ChenCenter for the Study of Itch and Sensory Disorders, Washington University School of Medicine, St Louis, MO, USA. chenz@wustl.edu.ORCID 0000-0002-6859-7910
Washington University in St. Louis · US

Funding

MOLECULAR MECHANISMS OF THE ITCH SENSATION IN THE SPINAL CORDR01AR056318 · NIAMS · WASHINGTON UNIVERSITY · PI CHEN, ZHOUFENG · 2009 to 2018
$4.5M
MECHANISMS OF DESENSITIZATION OF MOR1D-GRPR CROSSTALKR01DA037261 · NIDA · WASHINGTON UNIVERSITY · PI CHEN, ZHOUFENG · 2015 to 2019
$2.1M
UNDERSTANDING MECHANISMS THAT BLOCK GRPR-MEDIATED CHRONIC ITCHR01NS094344 · NINDS · WASHINGTON UNIVERSITY · PI CHEN, ZHOUFENG · 2015 to 2019
$1.8M
NIAMS NIH HHS R01 AR056318NIDA NIH HHS R01 DA037261NINDS NIH HHS R01 NS094344
6 · The paper itself

Abstract

Itch is one of the most primal sensations, being both ubiquitous and important for the well-being of animals. For more than a century, a desire to understand how itch is encoded by the nervous system has prompted the advancement of many theories. Within the past 15 years, our understanding of the molecular and neural mechanisms of itch has undergone a major transformation, and this remarkable progress continues today without any sign of abating. Here I describe accumulating evidence that indicates that itch is distinguished from pain through the actions of itch-specific neuropeptides that relay itch information to the spinal cord. According to this model, classical neurotransmitters transmit, inhibit and modulate itch information in a context-, space- and time-dependent manner but do not encode itch specificity. Gastrin-releasing peptide (GRP) is proposed to be a key itch-specific neuropeptide, with spinal neurons expressing GRP receptor (GRPR) functioning as a key part of a convergent circuit for the conveyance of peripheral itch information to the brain.

Indexed as

AnimalsGastrin-Releasing PeptideHumansNeuronsNeuropeptidesPruritusSpinal CordGastrin-Releasing PeptideNeuropeptides

Identifiers

PMID34663954
PMCPMC9437842
OpenAlexW3207028907

What OpenQuestion holds

Textmetadata
LicenceTDM
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.