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THE ISOPROSTANES: THEIR QUANTIFICATION AS AN INDEX OF OXIDANT STRESS STATUS IN VIVO†
Abstract
The F2 isoprostanes are a unique series of prostaglandinlike compounds formed in vivo from the free-radical-catalyzed peroxidation of arachidonic acid independent of the cyclooxygenase enzyme. The purpose of this review is to briefly summarize the status of our current knowledge regarding the isoprostanes. Novel aspects related to the biochemistry of isoprostane formation and methods by which these compounds are analyzed are discussed. The utility of measuring F2 isoprostanes as markers of lipid peroxidation in animal models of oxidant stress are then outlined. Finally, examples are provided in which quantification of isoprostanes have illuminated the role of oxidative injury in several human diseases.
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Cited by
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Padayatty, S. J., Katz, A., Wang, Y., Eck, P., Kwon, O., Lee, J.-H., Chen, S., Corpe, C., Dutta, A., Dutta, S. K., et al. (2003) · Journal of the American College of Nutrition · doi:10.1080/07315724.2003.10719272 · Cited by 1,949
Oxidants and antioxidants in disease: Oxidative stress in farm animals
Lykkesfeldt, J., & Svendsen, O. (2007) · The Veterinary Journal · doi:10.1016/j.tvjl.2006.06.005 · Cited by 787
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Kirkham, P. A., & Barnes, P. J. (2013) · Chest · doi:10.1378/chest.12-2664 · Cited by 685
Watson, A. D. (2006) · Journal of Lipid Research · doi:10.1194/jlr.r600022-jlr200 · Cited by 455
Metadata
- Authors
- MORROW, J. D.
- Venue
- Drug Metabolism Reviews
- Publisher
- Informa UK Limited
- Published
- 2000-01
- Volume
- 32
- Issue
- 3-4
- Pages
- 377-385
- ISSN
- 0360-2532 (ISSN-L)
- 1097-9883
- OpenAlex
- W2166505920
- Cited by
- 187
- References
- 0
- FWCI
- 5.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: THE ISOPROSTANES: THEIR QUANTIFICATION AS AN INDEX OF OXIDANT STRESS STATUS IN VIVO†. https://app.cochat.ai/papers/10.1081/dmr-100102340
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- MORROW, J. D. (2000). THE ISOPROSTANES: THEIR QUANTIFICATION AS AN INDEX OF OXIDANT STRESS STATUS IN VIVO†. Drug Metabolism Reviews. https://doi.org/10.1081/dmr-100102340
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
