Food intake biomarkers for berries and grapes

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Dokumenter

  • Maria Ulaszewska
  • Mar Garcia-Aloy
  • Natalia Vázquez-Manjarrez
  • Maria Trinidad Soria-Florido
  • Rafael Llorach
  • Fulvio Mattivi
  • Claudine Manach

Grapes and berries are two types of widely consumed fruits characterized by a high content in different phytochemicals. However, their accurate dietary assessment is particularly arduous, because of the already wide recognized bias associated with self-reporting methods, combined with the large range of species and cultivars and the fact that these fruits are popularly consumed not only in fresh and frozen forms but also as processed and derived products, including dried and canned fruits, beverages, jams, and jellies. Reporting precise type and/or quantity of grape and berries in FFQ or diaries can obviously be affected by errors. Recently, biomarkers of food intake (BFIs) rose as a promising tool to provide accurate information indicating consumption of certain food items. Protocols for performing systematic reviews in this field, as well as for assessing the validity of candidate BFIs have been developed within the Food Biomarker Alliance (FoodBAll) Project. This paper aims to evaluate the putative BIFs for blueberries, strawberries, raspberries, blackberries, cranberries, blackcurrant, and grapes. Candidate BFIs for grapes were resveratrol metabolites and tartaric acid. The metabolites considered as putative BFI for berries consumption were mostly anthocyanins derivatives together with several metabolites of ellagitannins and some aroma compounds. However, identification of BFIs for single berry types encountered more difficulties. In the absence of highly specific metabolites reported to date, we suggested some multi-metabolite panels that may be further investigated as putative biomarkers for some berry fruits.

OriginalsprogEngelsk
Artikelnummer17
TidsskriftGenes & Nutrition
Vol/bind15
Antal sider35
ISSN1555-8932
DOI
StatusUdgivet - 2020

Bibliografisk note

CURIS 2020 NEXS 334

Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk


Ingen data tilgængelig

ID: 250376499