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Cited by 281

The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.

Establishing the Significance and Optimal Intake of Dietary Antioxidants: The Biomarker Concept

Halliwell, Barry·2009·Nutrition Reviews

Abstract

Diets rich in fruits and vegetables are associated with decreased risk of cardiovascular disease and cancer. Biomarkers of oxidative DNA damage and lipid peroxidation can be used to establish the role of antioxidants in this protection and the optimal intake of those antioxidants. This concept is based on the presumptions that oxidative DNA damage is a significant contributor to the age-related development of some cancers and that lipid peroxidation plays a key role in the development of cardiovascular disease. Mass spectrometric measurements of various families of isoprostanes (F2-, F3-, and F4-isoprostanes) and of multiple DNA base oxidation products are probably the most promising biomarkers for use in human nutritional intervention studies. Biomarker studies should precede, as well as accompany, major intervention trials that measure disease incidence. The use of biomarkers provides a logical scientific basis for major intervention trials of antioxidants; such trials will, in turn, eventually validate or disprove the biomarker concept.

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Crossref · 10.1111/j.1753-4887.1999.tb06933.x

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Metadata

Authors
Halliwell, B.
Venue
Nutrition Reviews
Published
2009-04-27
Volume
57
Issue
4
Pages
104-113
ISSN
  • 0029-6643 (ISSN-L)
  • 1753-4887
OpenAlex
W1978773061
Cited by
281
References
85
FWCI
9.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Establishing the Significance and Optimal Intake of Dietary Antioxidants: The Biomarker Concept. https://app.cochat.ai/papers/10.1111/j.1753-4887.1999.tb06933.x
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Halliwell, B. (2009). Establishing the Significance and Optimal Intake of Dietary Antioxidants: The Biomarker Concept. Nutrition Reviews. https://doi.org/10.1111/j.1753-4887.1999.tb06933.x

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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.