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Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3)
Much experimental evidence supports a protective role of dietary polyphenols against chronic diseases such as cardiovascular diseases, diabetes, and cancer. However, results from observational epidemiologic studies are still limited and are often inconsistent. This is largely explained by the diffic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Society for Nutrition
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144095/ https://www.ncbi.nlm.nih.gov/pubmed/24787490 http://dx.doi.org/10.3945/ajcn.113.077743 |
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author | Zamora-Ros, Raul Touillaud, Marina Rothwell, Joseph A Romieu, Isabelle Scalbert, Augustin |
author_facet | Zamora-Ros, Raul Touillaud, Marina Rothwell, Joseph A Romieu, Isabelle Scalbert, Augustin |
author_sort | Zamora-Ros, Raul |
collection | PubMed |
description | Much experimental evidence supports a protective role of dietary polyphenols against chronic diseases such as cardiovascular diseases, diabetes, and cancer. However, results from observational epidemiologic studies are still limited and are often inconsistent. This is largely explained by the difficulties encountered in the estimation of exposure to the polyphenol metabolome, which is composed of ∼500 polyphenols distributed across a wide variety of foods and characterized by diverse biological properties. Exposure to the polyphenol metabolome in epidemiologic studies can be assessed by the use of detailed dietary questionnaires or the measurement of biomarkers of polyphenol intake. The questionnaire approach has been greatly facilitated by the use of new databases on polyphenol composition but is limited by bias as a result of self-reporting. The use of polyphenol biomarkers holds much promise for objective estimation of polyphenol exposure in future metabolome-wide association studies. These approaches are reviewed and their advantages and limitations discussed by using examples of epidemiologic studies on polyphenols and cancer. The current improvement in these techniques, along with greater emphasis on the intake of individual polyphenols rather than polyphenols considered collectively, will help unravel the role of these major food bioactive constituents in disease prevention. |
format | Online Article Text |
id | pubmed-4144095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American Society for Nutrition |
record_format | MEDLINE/PubMed |
spelling | pubmed-41440952014-08-26 Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3) Zamora-Ros, Raul Touillaud, Marina Rothwell, Joseph A Romieu, Isabelle Scalbert, Augustin Am J Clin Nutr Narrative Review Much experimental evidence supports a protective role of dietary polyphenols against chronic diseases such as cardiovascular diseases, diabetes, and cancer. However, results from observational epidemiologic studies are still limited and are often inconsistent. This is largely explained by the difficulties encountered in the estimation of exposure to the polyphenol metabolome, which is composed of ∼500 polyphenols distributed across a wide variety of foods and characterized by diverse biological properties. Exposure to the polyphenol metabolome in epidemiologic studies can be assessed by the use of detailed dietary questionnaires or the measurement of biomarkers of polyphenol intake. The questionnaire approach has been greatly facilitated by the use of new databases on polyphenol composition but is limited by bias as a result of self-reporting. The use of polyphenol biomarkers holds much promise for objective estimation of polyphenol exposure in future metabolome-wide association studies. These approaches are reviewed and their advantages and limitations discussed by using examples of epidemiologic studies on polyphenols and cancer. The current improvement in these techniques, along with greater emphasis on the intake of individual polyphenols rather than polyphenols considered collectively, will help unravel the role of these major food bioactive constituents in disease prevention. American Society for Nutrition 2014-07 2014-04-30 /pmc/articles/PMC4144095/ /pubmed/24787490 http://dx.doi.org/10.3945/ajcn.113.077743 Text en © 2014 American Society for Nutrition This is a free access article, distributed under terms (http://www.nutrition.org/publications/guidelines-and-policies/license/) that permit unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Narrative Review Zamora-Ros, Raul Touillaud, Marina Rothwell, Joseph A Romieu, Isabelle Scalbert, Augustin Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3) |
title | Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3) |
title_full | Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3) |
title_fullStr | Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3) |
title_full_unstemmed | Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3) |
title_short | Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3) |
title_sort | measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits(1)(2)(3) |
topic | Narrative Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144095/ https://www.ncbi.nlm.nih.gov/pubmed/24787490 http://dx.doi.org/10.3945/ajcn.113.077743 |
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