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Cited by 370

The DOI matches its Crossref record; 369 of the 369 references it cites were found in a registry or an index.

Transient receptor potential (TRP) channels: a clinical perspective

Open access
Kaneko, Yosuke, Szallasi, Arpad·2014·British Journal of Pharmacology
DOI 10.1111/bph.12414
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Abstract

Transient receptor potential (TRP) channels are important mediators of sensory signals with marked effects on cellular functions and signalling pathways. Indeed, mutations in genes encoding TRP channels are the cause of several inherited diseases in humans (the so‐called ‘TRP channelopathies’) that affect the cardiovascular, renal, skeletal and nervous systems.TRP channels are also promising targets for drug discovery. The initial focus of research was on TRP channels that are expressed on nociceptive neurons. Indeed, a number of potent, small‐molecule TRPV 1,TRPV 3 and TRPA 1 antagonists have already entered clinical trials as novel analgesic agents. There has been a recent upsurge in the amount of work that expands TRP channel drug discovery efforts into new disease areas such as asthma, cancer, anxiety, cardiac hypertrophy, as well as obesity and metabolic disorders. A better understanding of TRP channel functions in health and disease should lead to the discovery of first‐in‐class drugs for these intractable diseases. With this review, we hope to capture the current state of this rapidly expanding and changing field. Linked Articles: This article is part of a themed section on the pharmacology of TRP channels. To view the other articles in this section visit http://dx.doi.org/10.1111/bph.2014.171.issue‐10

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Citations

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Metadata

Authors
Kaneko, Y., & Szallasi, A.
Venue
British Journal of Pharmacology
Publisher
Wiley
Published
2014-04-28
Volume
171
Issue
10
Pages
2474-2507
ISSN
  • 0007-1188 (ISSN-L)
  • 1476-5381
DOI
10.1111/bph.12414
OpenAlex
W1571837352
Cited by
370
References
369
FWCI
13.80
Type
journal article
Language
en
Open access
bronze

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.