The anserine to carnosine ratio: an excellent discriminator between white and red meats consumed by free-living overweight participants of the PREVIEW study.
Anserine
Biomarkers
Carnosine
Dietary assessment
Metabolomics
Red meat
Journal
European journal of nutrition
ISSN: 1436-6215
Titre abrégé: Eur J Nutr
Pays: Germany
ID NLM: 100888704
Informations de publication
Date de publication:
Feb 2021
Feb 2021
Historique:
received:
30
10
2019
accepted:
12
03
2020
pubmed:
5
4
2020
medline:
24
6
2021
entrez:
5
4
2020
Statut:
ppublish
Résumé
Biomarkers 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. Twenty-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. Anserine 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. It 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.
Sections du résumé
BACKGROUND
BACKGROUND
Biomarkers 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.
METHODS
METHODS
Twenty-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.
RESULTS
RESULTS
Anserine 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.
CONCLUSION
CONCLUSIONS
It 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.
Identifiants
pubmed: 32246262
doi: 10.1007/s00394-020-02230-3
pii: 10.1007/s00394-020-02230-3
doi:
Substances chimiques
Carnosine
8HO6PVN24W
Anserine
HDQ4N37UGV
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
179-192Subventions
Organisme : Joint Programming Initiative A healthy diet for a healthy life
ID : Food Biomarker Alliance Project
Organisme : Seventh Framework Programme
ID : 312057
Organisme : New Zealand Health Research Council
ID : 14/191
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