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Cited by 176

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Transient Receptor Potential Ankyrin 1 (TRPA1) Channel as Emerging Target for Novel Analgesics and Anti-Inflammatory Agents

Open access
Baraldi, Pier Giovanni, Preti, Delia, Materazzi, Serena, Geppetti, Pierangelo·2010·Journal of Medicinal Chemistry

Abstract

Chemonociception represents an important signaling mechanism of acute pain, but it may also contribute to persistent pain, especially in the context of peripheral tissue injury and inflammation. The primary role of TRPA1 as a general and non-specific sensor of a variety of chemical species, generated by diverse enzymatic or non-enzymatic proinflammatory pathways, underlines the hypothesis that compounds that block channel activity represent a new class of analgesic medicine. The emerging role of neuronal TRPA1 in the orchestration of the inflammatory response in animal models of airway diseases, including asthma and COPD is of much interest and TRPA1 antagonists could be regarded as novel antitussive medicines.

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Crossref · 10.1021/jm100062h

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Metadata

Authors
Baraldi, P. G., Preti, D., Materazzi, S., & Geppetti, P.
Venue
Journal of Medicinal Chemistry
Published
2010-04-01
Volume
53
Issue
14
Pages
5085-5107
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W1999470879
Cited by
176
References
2
FWCI
8.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Transient Receptor Potential Ankyrin 1 (TRPA1) Channel as Emerging Target for Novel Analgesics and Anti-Inflammatory Agents. https://app.cochat.ai/papers/10.1021/jm100062h
The paper
Baraldi, P. G., Preti, D., Materazzi, S., & Geppetti, P. (2010). Transient Receptor Potential Ankyrin 1 (TRPA1) Channel as Emerging Target for Novel Analgesics and Anti-Inflammatory Agents. Journal of Medicinal Chemistry. https://doi.org/10.1021/jm100062h

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.