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Cited by 598

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Oxidants, antioxidants and the ischemic brain

Warner, David S., Sheng, Huaxin, Batinić-Haberle, Ines·2004·Journal of Experimental Biology

Abstract

SUMMARY: Despite numerous defenses, the brain is vulnerable to oxidative stress resulting from ischemia/reperfusion. Excitotoxic stimulation of superoxide and nitric oxide production leads to formation of highly reactive products,including peroxynitrite and hydroxyl radical, which are capable of damaging lipids, proteins and DNA. Use of transgenic mutants and selective pharmacological antioxidants has greatly increased understanding of the complex interplay between substrate deprivation and ischemic outcome. Recent evidence that reactive oxygen/nitrogen species play a critical role in initiation of apoptosis, mitochondrial permeability transition and poly(ADP-ribose) polymerase activation provides additional mechanisms for oxidative damage and new targets for post-ischemic therapeutic intervention. Because oxidative stress involves multiple post-ischemic cascades leading to cell death, effective prevention/treatment of ischemic brain injury is likely to require intervention at multiple effect sites.

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Metadata

Authors
Warner, D. S., Sheng, H., & Batinić-Haberle, I.
Venue
Journal of Experimental Biology
Published
2004-08-15
Volume
207
Issue
18
Pages
3221-3231
ISSN
  • 0022-0949 (ISSN-L)
  • 1477-9145
OpenAlex
W2060064603
Cited by
598
References
2
FWCI
21.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Oxidants, antioxidants and the ischemic brain. https://app.cochat.ai/papers/10.1242/jeb.01022
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Warner, D. S., Sheng, H., & Batinić-Haberle, I. (2004). Oxidants, antioxidants and the ischemic brain. Journal of Experimental Biology. https://doi.org/10.1242/jeb.01022

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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.