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Caffeic acid phenethyl ester as a lipoxygenase inhibitor with antioxidant properties
Open accessAbstract
Caffeic acid phenethyl ester, an active component of propolis extract, inhibits 5‐lipoxygenase in the micromolar concentration range. The inhibition is of an uncompetitive type, i.e. the inhibitor binds to the enzyme‐substrate complex but not to the free enzyme. Caffeic acid phenethyl ester also exhibits antioxidant properties. At a concentration of 10 μM, it completely blocks production of reactive oxygen species in human neutrophils and the xanthine/xanthine oxidase system.
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Cited by
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Son, S., & Lewis, B. A. (2002) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf010830b · Cited by 508
Absorption of Phenolic Acids in Humans after Coffee Consumption
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Design of aging intervention studies: the NIA interventions testing program
Nadon, N. L., Strong, R., Miller, R. A., Nelson, J., Javors, M., Sharp, Z. D., Peralba, J. M., & Harrison, D. E. (2008) · AGE · doi:10.1007/s11357-008-9048-1 · Cited by 142
Strategies for elevating hematopoietic stem cells expansion and engraftment capacity
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Metadata
- Authors
- Sud'ina, G. F., Mirzoeva, O. K., Pushkareva, M. A., Korshunova, G. A., Sumbatyan, N. V., & Varfolomeev, S. D.
- Venue
- FEBS Letters
- Publisher
- Wiley
- Published
- 1993-08-23
- Volume
- 329
- Issue
- 1-2
- Pages
- 21-24
- ISSN
- 0014-5793 (ISSN-L)
- 1873-3468
- OpenAlex
- W2064691836
- Cited by
- 510
- References
- 0
- FWCI
- 10.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Sud'ina, G. F., Mirzoeva, O. K., Pushkareva, M. A., Korshunova, G. A., Sumbatyan, N. V., & Varfolomeev, S. D. (1993). Caffeic acid phenethyl ester as a lipoxygenase inhibitor with antioxidant properties. FEBS Letters. https://doi.org/10.1016/0014-5793(93)80184-v
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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.
