ArticleEuropean journal of nutrition2021
The anserine to carnosine ratio: an excellent discriminator between white and red meats consumed by free-living overweight participants of the PREVIEW study.
Article in European journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Integration of modern technologies to advance dietary assessment.Nature food · 2026Review
- Metabolic variation reflects dietary exposure in a multi-ethnic Asian population.Nature metabolism · 2025Article
- Perspective: Diet Item Details: Reporting Checklist for Feeding Studies Measuring the Dietary Metabolome (DID-METAB Checklist) - Explanation and Elaboration Report on the Development of the Checklist by the DID-METAB Delphi Working Group.Advances in nutrition (Bethesda, Md.) · 2025Article
- Towards nutrition with precision: unlocking biomarkers as dietary assessment tools.Nature metabolism · 2024Review
- An evaluation of eight short versions of the Drug Use Disorder Identification Test (DUDIT). A prison population study.Drug and alcohol dependence reports · 2022Article
- Nutritional Metabolomics and the Classification of Dietary Biomarker Candidates: A Critical Review.Advances in nutrition (Bethesda, Md.) · 2021Review
- Oral anserine supplementation does not attenuate type-2 diabetes or diabetic nephropathy in BTBR ob/ob mice.Amino acids · 2021Article
- Meat and Human Health-Current Knowledge and Research Gaps.Foods (Basel, Switzerland) · 2021Review
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Authors and funding
6 authors.
Funding
Abstract
backgroundBiomarkers of meat intake hold promise in clarifying the health effects of meat consumption, yet the differentiation between red and white meat remains a challenge. We measure meat intake objectively in a free-living population by applying a newly developed, three-step strategy for biomarker-based assessment of dietary intakes aimed to indicate if (1) any meat was consumed, (2) what type it was and (3) the quantity consumed.
methodsTwenty-four hour urine samples collected in a four-way crossover RCT and in a cross-sectional analysis of a longitudinal lifestyle intervention (the PREVIEW Study) were analyzed by untargeted LC-MS metabolomics. In the RCT, healthy volunteers consumed three test meals (beef, pork and chicken) and a control; in PREVIEW, overweight participants followed a diet with high or moderate protein levels. PLS-DA modeling of all possible combinations between six previously reported, partially validated, meat biomarkers was used to classify meat intake using samples from the RCT to predict consumption in PREVIEW.
resultsAnserine best separated omnivores from vegetarians (AUROC 0.94-0.97), while the anserine to carnosine ratio best distinguished the consumption of red from white meat (AUROC 0.94). Carnosine showed a trend for dose-response between non-consumers, low consumers and high consumers for all meat categories, while in combination with other biomarkers the difference was significant.
conclusionIt is possible to evaluate red meat intake by using combinations of existing biomarkers of white and general meat intake. Our results are novel and can be applied to assess qualitatively recent meat intake in nutritional studies. Further work to improve quantitation by biomarkers is needed.
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