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Cited by 218

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

Gingerols: a novel class of vanilloid receptor (VR1) agonists

Open access
Dedov, Vadim N, Tran, Van H, Duke, Colin C, Connor, Mark, Christie, MacDonald J, Mandadi, Sravan, Roufogalis, Basil D·2002·British Journal of Pharmacology

Abstract

Gingerols, the pungent constituents of ginger, were synthesized and assessed as agonists of the capsaicin‐activated VR1 (vanilloid) receptor. [6]‐Gingerol and [8]‐gingerol evoked capsaicin‐like intracellular Ca 2+ transients and ion currents in cultured DRG neurones. These effects of gingerols were blocked by capsazepine, the VR1 receptor antagonist. The potency of gingerols increased with increasing size of the side chain and with the overall hydrophobicity in the series. We conclude that gingerols represent a novel class of naturally occurring VR1 receptor agonists that may contribute to the medicinal properties of ginger, which have been known for centuries. The gingerol structure may be used as a template for the development of drugs acting as moderately potent activators of the VR1 receptor. British Journal of Pharmacology (2002) 137, 793–798. doi:10.1038/sj.bjp.0704925

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Metadata

Authors
Dedov, V. N., Tran, V. H., Duke, C. C., Connor, M., Christie, M. J., Mandadi, S., & Roufogalis, B. D.
Venue
British Journal of Pharmacology
Publisher
Wiley
Published
2002-11
Volume
137
Issue
6
Pages
793-798
ISSN
  • 0007-1188 (ISSN-L)
  • 1476-5381
OpenAlex
W2067200668
Cited by
218
References
2
FWCI
2.36
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Gingerols: a novel class of vanilloid receptor (VR1) agonists. https://app.cochat.ai/papers/10.1038/sj.bjp.0704925
The paper
Dedov, V. N., Tran, V. H., Duke, C. C., Connor, M., Christie, M. J., Mandadi, S., & Roufogalis, B. D. (2002). Gingerols: a novel class of vanilloid receptor (VR1) agonists. British Journal of Pharmacology. https://doi.org/10.1038/sj.bjp.0704925

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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.