Evidence map›Paper›PMID 29861790›Full record

ReviewGenes & nutrition2018

Validation of biomarkers of food intake-critical assessment of candidate biomarkers.

L O Dragsted, Q Gao, A Scalbert, G Vergères, M Kolehmainen, C Manach, L Brennan, L A Afman, D S Wishart, C Andres Lacueva and 4 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Genes & nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06449170 (BIAMEX), which is not on this map. Cited by 126 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06449170 naunknown statusnot on this mapstarted 2023, after this paper: background citation

BIAMEX: Discovery of Biomarkers of Intake of Highly Consumed Foods in Mexico by Untargeted Metabolomics

TypeinterventionalSponsorInstituto Nacional de Ciencias Medicas y Nutricion Salvador ZubiranRan2023 to 2024Enrolled12ConditionsNutrition, Healthy, Diet Habit, Diet, Healthy, Dietary ExposureArmsMango Ataulfo, Avocado Hass, Nopal, 3 corn tortilla, Guava
3 · Its place in the literature

Who cites it

126 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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66 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

L O Dragsted1Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Q Gao1Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
A Scalbert3International Agency for Research on Cancer (IARC), Nutrition and Metabolism Section, Biomarkers Group, Lyon, France.
G Vergères4Agroscope, Federal Office of Agriculture, Berne, Switzerland.
M Kolehmainen5University of Eastern Finland, Kuopio, Finland.
C Manach6INRA, Human Nutrition Unit, Université Clermont Auvergne, F63000 Clermont-Ferrand, France.
L Brennan7UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
L A Afman8Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands.
D S Wishart9Department of Biological Sciences, University of Alberta, Edmonton, Canada.
C Andres Lacueva10Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain.
M Garcia-Aloy10Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain.
H Verhagen12European Food Safety Authority (EFSA), Parma, Italy.
E J M Feskens8Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands.
G Praticò1Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.

Funding

European Research Council 647783World Health Organization 001
6 · The paper itself

Abstract

Biomarkers of food intake (BFIs) are a promising tool for limiting misclassification in nutrition research where more subjective dietary assessment instruments are used. They may also be used to assess compliance to dietary guidelines or to a dietary intervention. Biomarkers therefore hold promise for direct and objective measurement of food intake. However, the number of comprehensively validated biomarkers of food intake is limited to just a few. Many new candidate biomarkers emerge from metabolic profiling studies and from advances in food chemistry. Furthermore, candidate food intake biomarkers may also be identified based on extensive literature reviews such as described in the guidelines for Biomarker of Food Intake Reviews (BFIRev). To systematically and critically assess the validity of candidate biomarkers of food intake, it is necessary to outline and streamline an optimal and reproducible validation process. A consensus-based procedure was used to provide and evaluate a set of the most important criteria for systematic validation of BFIs. As a result, a validation procedure was developed including eight criteria, plausibility, dose-response, time-response, robustness, reliability, stability, analytical performance, and inter-laboratory reproducibility. The validation has a dual purpose: (1) to estimate the current level of validation of candidate biomarkers of food intake based on an objective and systematic approach and (2) to pinpoint which additional studies are needed to provide full validation of each candidate biomarker of food intake. This position paper on biomarker of food intake validation outlines the second step of the BFIRev procedure but may also be used as such for validation of new candidate biomarkers identified, e.g., in food metabolomic studies.

Indexed as

Assessment of food intakeBiomarkerMetabolomicsNutritionReviewValidation

Identifiers

PMID29861790
PMCPMC5975465

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.