The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Quantification of Isoprostanes as Indices of Oxidant Stress and the Risk of Atherosclerosis in Humans
Abstract
Enhanced oxidant stress occurring either locally in the vessel wall or systemically is implicated in the pathogenesis of atherosclerosis in humans. Nonetheless, evidence that oxidant stress is increased in vivo in association with this disease and that it can be quantified in living human beings has been lacking because of the unavailability of biomarkers to assess oxidant stress in humans. Recently, the development of methods to quantify the F 2 -isoprostanes (IsoPs), prostaglandin (PG)-like compounds derived from the free radical-catalyzed peroxidation of arachidonic acid, has allowed, for the first time to the author’s knowledge, a facile and accurate assessment of oxidant stress in vivo. The purpose of this brief review is to discuss the usefulness of quantifying IsoPs as an index of oxidative injury in association with atherosclerosis. F 2 -IsoPs can be measured in human biological fluids, such as plasma and urine, using highly precise assays. They have been shown to be increased in association in with a number of atherosclerotic risk factors, including cigarette smoking, hypercholesterolemia, diabetes mellitus, and obesity, among others. In addition, recent evidence suggests their quantification may represent an independent marker of atherosclerotic risk. A reduction in cardiovascular risk factors is associated with a decrease in IsoP formation in humans. Despite the fact that the role of oxidant stress in the pathogenesis of atherosclerosis is a hotly debated issue, current evidence suggests that the IsoPs represent a biomarker that has the potential to be of great importance in the assessment of human atherosclerotic cardiovascular disease.
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Cites
(1994) · New England Journal of Medicine · doi:10.1056/nejm199404143301501 · Cited by 4,737
Body-Mass Index and Mortality in a Prospective Cohort of U.S. Adults
Calle, E. E., Thun, M. J., Petrelli, J. M., Rodriguez, C., & Heath, C. W. (1999) · New England Journal of Medicine · doi:10.1056/nejm199910073411501 · Cited by 3,643
Stephens, N. G., Parsons, A., Brown, M. J., Schofield, P. M., Kelly, F., Cheeseman, K., & Mitchinson, M. (1996) · The Lancet · doi:10.1016/s0140-6736(96)90866-1 · Cited by 2,148
Vitamin E Supplementation and Cardiovascular Events in High-Risk Patients
(2000) · New England Journal of Medicine · doi:10.1056/nejm200001203420302 · Cited by 1,957
Keaney, J. F., Larson, M. G., Vasan, R. S., Wilson, P. W. F., Lipinska, I., Corey, D., Massaro, J. M., Sutherland, P., Vita, J. A., & Benjamin, E. J. (2003) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000058402.34138.11 · Cited by 1,304
The macrophage foam cell as a target for therapeutic intervention
Li, A. C., & Glass, C. K. (2002) · Nature Medicine · doi:10.1038/nm1102-1235 · Cited by 700
Vascular inflammation and the renin-angiotensin system
Brasier, A. R., Recinos, A., & Eledrisi, M. S. (2002) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000021412.56621.a2 · Cited by 586
Davı̀, G., Gresele, P., Violi, F., Basili, S., Catalano, M., Giammarresi, C., Volpato, R., Nenci, G. G., Ciabattoni, G., & Patrono, C. (1997) · Circulation · doi:10.1161/01.cir.96.1.69 · Cited by 223
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Halliwell, B. (2006) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2006.03907.x · Cited by 2,614
Kurutas, E. B. (2015) · Nutrition Journal · doi:10.1186/s12937-016-0186-5 · Cited by 2,152
Platelet Activation and Atherothrombosis
Davì, G., & Patrono, C. (2007) · New England Journal of Medicine · doi:10.1056/nejmra071014 · Cited by 2,135
Biomarkers of Oxidative Damage in Human Disease
Dalle-Donne, I., Rossi, R., Colombo, R., Giustarini, D., & Milzani, A. (2006) · Clinical Chemistry · doi:10.1373/clinchem.2005.061408 · Cited by 1,703
Reactive oxygen species in cardiovascular disease
Sugamura, K., & Keaney (2011) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2011.05.004 · Cited by 769
Kontush, A., & Chapman, M. J. (2006) · Pharmacological Reviews · doi:10.1124/pr.58.3.1 · Cited by 647
Kell, D. B. (2009) · BMC Medical Genomics · doi:10.1186/1755-8794-2-2 · Cited by 554
The wanderings of a free radical
Halliwell, B. (2009) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2008.11.008 · Cited by 467
The isoprostanes—25 years later
Milne, G. L., Dai, Q., & Roberts, L. J. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2014.10.007 · Cited by 335
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Stadler, K., Goldberg, I. J., & Susztak, K. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0611-8 · Cited by 165
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Choi, S.-W., Benzie, I. F. F., Ma, S.-W., Strain, J. J., & Hannigan, B. M. (2008) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2007.12.005 · Cited by 149
Depression and oxidative damage to lipids
Yager, S., Forlenza, M. J., & Miller, G. E. (2010) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2010.03.010 · Cited by 120
Jenner, A., Ren, M., Rajendran, R., Ning, P., Huat, B. T. K., Watt, F., & Halliwell, B. (2007) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2006.11.024 · Cited by 96
Yin, H., Gao, L., Tai, H.-H., Murphey, L. J., Porter, N. A., & Morrow, J. D. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m608975200 · Cited by 82
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Ben-Yehuda Greenwald, M., Ben-Sasson, S., Bianco-Peled, H., & Kohen, R. (2016) · Cosmetics · doi:10.3390/cosmetics3010001 · Cited by 49
Haswell, L. E., Papadopoulou, E., Newland, N., Shepperd, C. J., & Lowe, F. J. (2014) · Biomarkers · doi:10.3109/1354750x.2014.912354 · Cited by 28
Cardiovascular biomarkers in clinical studies of type 2 diabetes
Baldassarre, M. P. A., Andersen, A., Consoli, A., Knop, F. K., & Vilsbøll, T. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13247 · Cited by 22
Metadata
- Authors
- Morrow, J. D.
- Venue
- Arteriosclerosis, Thrombosis, and Vascular Biology
- Published
- 2005-02
- Volume
- 25
- Issue
- 2
- Pages
- 279-286
- ISSN
- 1079-5642 (ISSN-L)
- 1524-4636
- OpenAlex
- W2097996074
- Cited by
- 453
- References
- 9
- FWCI
- 23.94
- Type
- journal article
- Language
- en
- Open access
- closed
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