Literature DB >> 31670796

Urinary biomarkers of dietary intake: a review.

Erin D Clarke1,2, Megan E Rollo1,2, Kristine Pezdirc3, Clare E Collins1,2, Rebecca L Haslam1,2.   

Abstract

Dietary intakes are commonly assessed by established methods including food frequency questionnaires, food records, or recalls. These self-report methods have limitations impacting validity and reliability. Dietary biomarkers provide objective verification of self-reported food intakes, and represent a rapidly evolving area. This review aims to summarize the urinary biomarkers of individual foods, food groups, dietary patterns, or nutritional supplements that have been evaluated to date. Six electronic databases were searched. Included studies involved healthy populations, were published from 2000, and compared measured dietary intake with urinary markers. The initial search identified 9985 studies; of these, 616 full texts were retrieved and 109 full texts were included. Of the included studies, 67 foods and food components were studied, and 347 unique urinary biomarkers were identified. The most reliable biomarkers identified were whole grains (alkylresorcinols), soy (isoflavones), and sugar (sucrose and fructose). While numerous novel urinary biomarkers have been identified, further validation studies are warranted to verify the accuracy of self-reported intakes and utility within practice.
© The Author(s) 2019. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  biomarkers; diet assessment; metabolome; urinary biomarker; urinary metabolites

Mesh:

Substances:

Year:  2020        PMID: 31670796     DOI: 10.1093/nutrit/nuz048

Source DB:  PubMed          Journal:  Nutr Rev        ISSN: 0029-6643            Impact factor:   7.110


  4 in total

1.  Evaluating Concordance of Bodies of Evidence from Randomized Controlled Trials, Dietary Intake, and Biomarkers of Intake in Cohort Studies: A Meta-Epidemiological Study.

Authors:  Jessica Beyerbach; Julia Stadelmaier; Georg Hoffmann; Sara Balduzzi; Nils Bröckelmann; Lukas Schwingshackl
Journal:  Adv Nutr       Date:  2022-02-01       Impact factor: 11.567

2.  Biomarkers of dietary patterns: a systematic review of randomized controlled trials.

Authors:  Shuang Liang; Reeja F Nasir; Kim S Bell-Anderson; Clémence A Toniutti; Fiona M O'Leary; Michael R Skilton
Journal:  Nutr Rev       Date:  2022-07-07       Impact factor: 6.846

3.  The Relationship between Dietary Polyphenol Intakes and Urinary Polyphenol Concentrations in Adults Prescribed a High Vegetable and Fruit Diet.

Authors:  Erin D Clarke; Megan E Rollo; Clare E Collins; Lisa Wood; Robin Callister; Mark Philo; Paul A Kroon; Rebecca L Haslam
Journal:  Nutrients       Date:  2020-11-09       Impact factor: 5.717

Review 4.  Strategies for Reducing Salt and Sugar Intakes in Individuals at Increased Cardiometabolic Risk.

Authors:  Valentina Ponzo; Marianna Pellegrini; Paola Costelli; Laura Vázquez-Araújo; Lucía Gayoso; Chiara D'Eusebio; Ezio Ghigo; Simona Bo
Journal:  Nutrients       Date:  2021-01-19       Impact factor: 5.717

  4 in total

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