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Cited by 340

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Polyphenols, Inflammation, and Cardiovascular Disease

Open access
Tangney, Christy C., Rasmussen, Heather E.·2013·Current Atherosclerosis Reports

Abstract

Polyphenols are compounds found in foods such as tea, coffee, cocoa, olive oil, and red wine and have been studied to determine if their intake may modify cardiovascular disease (CVD) risk. Historically, biologic actions of polyphenols have been attributed to antioxidant activities, but recent evidence suggests that immunomodulatory and vasodilatory properties of polyphenols may also contribute to CVD risk reduction. These properties will be discussed, and recent epidemiological evidence and intervention trials will be reviewed. Further identification of polyphenols in foods and accurate assessment of exposures through measurement of biomarkers (i.e., polyphenol metabolites) could provide the needed impetus to examine the impact of polyphenol-rich foods on CVD intermediate outcomes (especially those signifying chronic inflammation) and hard endpoints among high risk patients. Although we have mechanistic insight into how polyphenols may function in CVD risk reduction, further research is needed before definitive recommendations for consumption can be made.

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Crossref · 10.1007/s11883-013-0324-x

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Citations

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Metadata

Authors
Tangney, C. C., & Rasmussen, H. E.
Venue
Current Atherosclerosis Reports
Published
2013-03-20
Volume
15
Issue
5
Pages
324-324
ISSN
  • 1523-3804 (ISSN-L)
  • 1534-6242
OpenAlex
W2031814313
Cited by
340
References
63
FWCI
8.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Polyphenols, Inflammation, and Cardiovascular Disease. https://app.cochat.ai/papers/10.1007/s11883-013-0324-x
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Tangney, C. C., & Rasmussen, H. E. (2013). Polyphenols, Inflammation, and Cardiovascular Disease. Current Atherosclerosis Reports. https://doi.org/10.1007/s11883-013-0324-x

Data sources

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.