Dietary polyphenols and the prevention of diseases
Abstract
Polyphenols are the most abundant antioxidants in the diet and are widespread constituents of fruits, vegetables, cereals, dry legumes, chocolate, and beverages, such as tea, coffee, or wine. Experimental studies on animals or cultured human cell lines support a role of polyphenols in the prevention of cardiovascular diseases, cancers, neurodegenerative diseases, diabetes, or osteoporosis. However, it is very difficult to predict from these results the effects of polyphenol intake on disease prevention in humans. One of the reasons is that these studies have often been conducted at doses or concentrations far beyond those documented in humans. The few clinical studies on biomarkers of oxidative stress, cardiovascular disease risk factors, and tumor or bone resorption biomarkers have often led to contradictory results. Epidemiological studies have repeatedly shown an inverse association between the risk of myocardial infarction and the consumption of tea and wine or the intake level of some particular flavonoids, but no clear associations have been found between cancer risk and polyphenol consumption. More human studies are needed to provide clear evidence of their health protective effects and to better evaluate the risks possibly resulting from too high a polyphenol consumption.
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The Folin assay, commonly used to estimate total polyphenols in foods, has been applied to urine to compare polyphenol intake, but such use may be inappropriate because of interfering reducing metabolites.
“The Folin assay, commonly used to estimate total polyphenols in foods (46), has also been applied to urine samples to compare polyphenol intake (47), but such use may be inappropriate because of the presence of interfering reducing metabolites in such complex biological matrices (46).”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [46]
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Finger Millet (Ragi, Eleusine coracana L.)
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- Authors
- Scalbert, A., Manach, C., Morand, C., Rémésy, C., & Jiménez, L.
- Affiliations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Institut National de la Recherche Agronomique (FR)
- Danone (France) (FR)
- Venue
- Critical Reviews in Food Science and Nutrition
- Publisher
- Informa UK Limited
- Published
- 2005-06
- Volume
- 45
- Issue
- 4
- Pages
- 287-306
- ISSN
- 1040-8398 (ISSN-L)
- 1549-7852
- OpenAlex
- W2152252699
- Cited by
- 2,999
- References
- 306
- Citations by year
- 2026: 74 · 2025: 103 · 2024: 125 · 2023: 148 · 2022: 157 · 2021: 192 · 2020: 212 · 2019: 178 · 2018: 187 · 2017: 174 · 2016: 184 · 2015: 155 · 2014: 185 · 2013: 200 · 2012: 164
- FWCI
- 40.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Critical Reviews in Food Science and Nutrition (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Health Sciences › Medicine › Biochemistry › Phytochemicals and Antioxidant Activities
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Biochemistry › Antioxidant Activity and Oxidative Stress
- Keywords
- dietary polyphenols, antioxidants, disease prevention, cardiovascular disease, cancer, neurodegenerative diseases, diabetes mellitus, osteoporosis, flavonoids, tea, wine, oxidative stress biomarkers, myocardial infarction, dose-response extrapolation
- MeSH terms
- Animals, Antioxidants, Cardiovascular Diseases, Diabetes Mellitus, Diet, Female, Flavonoids, Humans, Neoplasms, Phenols, Primary Prevention, Osteoporosis, Postmenopausal, Neurodegenerative Diseases, Polyphenols
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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