Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery

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Giulia Praticò, Qian Gao, Augustin Scalbert, Guy Vergères, Marjukka Kolehmainen, Claudine Manach, Lorraine Brennan, Sri Harsha Pedapati, Lydia A Afman, David S Wishart, Rosa Vázquez-Fresno, Cristina Andres Lacueva, Mar Garcia-Aloy, Hans Verhagen, Edith J M Feskens, Lars Ove Dragsted

Identification of new biomarkers of food and nutrient intake has developed fast over the past two decades and could potentially provide important new tools for compliance monitoring and dietary intake assessment in nutrition and health science. In recent years, metabolomics has played an important role in identifying a large number of putative biomarkers of food intake (BFIs). However, the large body of scientific literature on potential BFIs outside the metabolomics area should also be taken into account. In particular, we believe that extensive literature reviews should be conducted and that the quality of all suggested biomarkers should be systematically evaluated. In order to cover the literature on BFIs in the most appropriate and consistent manner, there is a need for appropriate guidelines on this topic. These guidelines should build upon guidelines in related areas of science while targeting the special needs of biomarker methodology. This document provides a guideline for conducting an extensive literature search on BFIs, which will provide the basis to systematically validate BFIs. This procedure will help to prioritize future work on the identification of new potential biomarkers and on validating these as well as other biomarker candidates, thereby providing better tools for future studies in nutrition and health.

Original languageEnglish
Article number3
JournalGenes & Nutrition
Volume13
Number of pages14
ISSN1555-8932
DOIs
Publication statusPublished - 2018

    Research areas

  • The Faculty of Science - Biomarkers, Food exposure markers, Metabolomics, Systematic review, Literature search methodology

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