Evidence map›Paper›PMID 40766363›Full record

ArticlebioRxiv : the preprint server for biology2025

A molecular and spinal circuit basis for the functional segregation of itch and pain.

Myung-Chul Noh, Kelly A Corrigan, Sean-Paul G Williams, Cedric Peirs, Michael J Leone, Daniel J Headrick, Mustafa Guvercin, Suhjin Lee, BaDoi N Phan, Deepika Yeramosu and 8 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Kelly A Corrigan
Sean-Paul G Williams
Cedric Peirs
Michael J Leone
Daniel J Headrick
Mustafa Guvercin
Suhjin Lee
Deepika Yeramosu
Sudhagar Babu
Ashley R Brown
Robert van de Weerd
Xinyi Zhao
Richard P Dum
Hansruedi Mathys
Andreas R PfenningORCID 0000-0002-3447-9801
Rebecca P Seal

Funding

Dorsal horn circuits for mechanical allodyniaR01NS107364 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEAL, REBECCA P · 2019 to 2022
$2.1M
Investigation of Mechanical Allodynia Circuitry by the Nature of the InjuryR01NS139529 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REBECCA P SEAL · 2025 to 2026
$1.2M
Central Circuits for Mechanical PainR56NS104964 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEAL, REBECCA P · 2018 to 2018
$543k
Cell-type specific molecular and functional analyses to target dorsal horn pain circuitry in mice and non-human primatesR56NS133364 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PFENNING, ANDREAS ROBERT, SEAL, REBECCA P · 2023 to 2023
$499k
NINDS NIH HHS R01 NS107364NINDS NIH HHS R01 NS139529NINDS NIH HHS R56 NS104964NINDS NIH HHS R56 NS133364
6 · The paper itself

Abstract

Recent advances reveal an extensive cellular diversity within the dorsal horn. How this complexity processes distinct sensations, like itch and pain, remains a fundamental question. We discovered hidden within a population of neurons expressing the gastrin-releasing peptide receptor (Grpr+), thought to be itch-specific, are highly homologous yet functionally distinct subtypes distinguished by expression of Tachykinin-1 (Tac1). While the Tac1- subtype mediates itch, the Tac1+ subtype mediates mechanical allodynia across diverse pain states. Inhibitory populations and differential sensitivities to GRP serve as key modulators of the Grpr+ neuron subtypes, shaping modality specific output. Leveraging computationally designed genomic enhancers to silence the Tac1- population reverses itch while silencing the Tac1+ subtype reverses mechanical allodynia broadly. The work demonstrates the nuance of differential sensory modality coding within the dorsal horn and the power of genomic enhancer-based strategies for modality-specific targeting.

Identifiers

PMID40766363
PMCPMC12324422

What OpenQuestion holds

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Registered trials

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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.