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Resveratrol: From Basic Science to the Clinic

Open access
Cucciolla, Valeria, Borriello, Adriana, Oliva, Adriana, Galletti, Patrizia, Zappia, Vincenzo, Ragione, Fulvio Della·2007·Cell Cycle

Abstract

Plants produce an extraordinary array of low molecular mass natural products endowed with biological activity. Among these molecules, resveratrol (3,5,4'-trihydroxystilbene) has been identified as an inhibitor of carcinogenesis with a pleiotropic mode of action. Extensive literature on its anticancer activity, performed in cellular models, suggests a potential antiproliferative and apoptogenic use of the stilbene. Similarly, studies on implanted cancers and chemical-induced tumors confirm a potential chemotherapeutical interest of the compound. Moreover, recent intriguing studies have demonstrated, in mice, that the negative effects (insulin resistance and hyperglycemia) of a high-fat diet might be prevented by resveratrol treatment. Despite these promising observations, only few clinical trials have been performed on the compound due to the scarce interest of pharmaceutical industry. We suggest that resveratrol might be considered an interesting compound in association with more specific target-oriented drugs.

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Metadata

Authors
Cucciolla, V., Borriello, A., Oliva, A., Galletti, P., Zappia, V., & Ragione, F. D.
Venue
Cell Cycle
Published
2007-10-15
Volume
6
Issue
20
Pages
2495-2510
ISSN
  • 1538-4101 (ISSN-L)
  • 1551-4005
OpenAlex
W1972489193
Cited by
174
References
0
FWCI
4.47
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Resveratrol: From Basic Science to the Clinic. https://app.cochat.ai/papers/10.4161/cc.6.20.4815
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Cucciolla, V., Borriello, A., Oliva, A., Galletti, P., Zappia, V., & Ragione, F. D. (2007). Resveratrol: From Basic Science to the Clinic. Cell Cycle. https://doi.org/10.4161/cc.6.20.4815

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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.