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Pterostilbene: Biomedical applications

Estrela, José M., Ortega, Angel, Mena, Salvador, Rodriguez, Maria L., Asensi, Miguel·2013·Critical Reviews in Clinical Laboratory Sciences

Abstract

Resveratrol and its naturally dimethylated analog, pterostilbene, show similar biological activities. However, the higher in vivo bioavailability of pterostilbene represents a fundamental advantage. The main focus of this review is on biomedical applications of pterostilbene. The metabolism and pharmacokinetics of this stilbene in inflammatory dermatoses and photoprotection, cancer prevention and therapy, insulin sensitivity, blood glycemia and lipid levels, cardiovascular diseases, aging, and memory and cognition are addressed. Safety and toxicity, as well as recommendations for future research and biomedical uses, are discussed. This review includes comparisons between pterostilbene and other polyphenols, with particular emphasis on resveratrol. Potential benefits of using combinations of different polyphenols are considered. Based on present evidences we conclude that pterostilbene is an active phytonutrient and also a potential drug with multiple biomedical applications.

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Crossref · 10.3109/10408363.2013.805182

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Metadata

Authors
Estrela, J. M., Ortega, A., Mena, S., Rodriguez, M. L., & Asensi, M.
Venue
Critical Reviews in Clinical Laboratory Sciences
Published
2013-05
Volume
50
Issue
3
Pages
65-78
ISSN
  • 1040-8363 (ISSN-L)
  • 1549-781X
OpenAlex
W2071555402
Cited by
176
References
18
FWCI
1.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Pterostilbene: Biomedical applications. https://app.cochat.ai/papers/10.3109/10408363.2013.805182
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Estrela, J. M., Ortega, A., Mena, S., Rodriguez, M. L., & Asensi, M. (2013). Pterostilbene: Biomedical applications. Critical Reviews in Clinical Laboratory Sciences. https://doi.org/10.3109/10408363.2013.805182

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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.