Peripheral Mechanisms of Mechanical Itch.

Alloknesis Immune cells Keratinocytes Mechanical itch Sensory neurons

Journal

The Journal of investigative dermatology
ISSN: 1523-1747
Titre abrégé: J Invest Dermatol
Pays: United States
ID NLM: 0426720

Informations de publication

Date de publication:
08 Jan 2024
Historique:
received: 10 08 2023
revised: 25 10 2023
accepted: 31 10 2023
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: aheadofprint

Résumé

Mechanical itch, which is defined as an itch sensation caused by innocuous mechanical force, may warn of the potential risk in the skin. The increased mechanosensitivity in sensory neurons may cause scratch-induced itch and promote the transition from acute itch to chronic itch. Recent studies have not only expanded our knowledge about the neuronal circuits in the CNS but have also highlighted the importance of the peripheral epithelia-immune-neuronal crosstalk in the development of mechanical itch. In this review, we will summarize related findings about the molecular and cellular mechanisms of mechanical itch in the skin.

Identifiants

pubmed: 38206270
pii: S0022-202X(23)03204-9
doi: 10.1016/j.jid.2023.10.041
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Huijuan Ding (H)

School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China.

Liqin Zhou (L)

State Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China.

Jiaying Zhou (J)

School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China.

Jing Feng (J)

School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China; State Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China. Electronic address: fengjing@simm.ac.cn.

Classifications MeSH