Combined markers to assess meat intake - human metabolomic studies of discovery and validation

TY - JOUR

T1 - Combined markers to assess meat intake - human metabolomic studies of discovery and validation

AU - Cuparencu, Cătălina

AU - Rinnan, Åsmund

AU - Dragsted, Lars Ove

N1 - CURIS 2019 NEXS 204 This article is protected by copyright. All rights reserved.

PY - 2019/9/1

Y1 - 2019/9/1

N2 - Scope: Biomarkers of red meat may clarify the relationship between meat intake and health. This paper explores the discovery of biomarkers of intake for three types of meat with varying heme iron content. Candidate biomarkers for red and general meat are further evaluated based on defined validation criteria. Methods and results: In a randomized cross-over meal study, healthy volunteers consume a randomized sequence of four test meals: chicken, pork, beef, and a control made of egg white and pea. Fasting and postprandial urine samples are collected to cover 48 h and profiled by untargeted LC-ESI-qTOF-MS metabolomics. The profiles following the meal challenges are explored by univariate and multivariate analyses. Nine red, four white, and eight general meat biomarkers are selected as putative biomarkers, originating from collagen degradation, flavour compounds, and amino acid metabolism. Heme-related metabolites are masked by the chlorophyll content of the control meal. The candidate biomarkers are confirmed in an independent meal study and validated for plausibility, robustness, time-response, and prediction performance. Combinations of biomarkers are more efficient than single markers in predicting meat intake. Conclusion: New combinations of partially validated biomarkers are proposed to assess terrestrial meat intake and thus help disentangle the effects of meat consumption on human health.

AB - Scope: Biomarkers of red meat may clarify the relationship between meat intake and health. This paper explores the discovery of biomarkers of intake for three types of meat with varying heme iron content. Candidate biomarkers for red and general meat are further evaluated based on defined validation criteria. Methods and results: In a randomized cross-over meal study, healthy volunteers consume a randomized sequence of four test meals: chicken, pork, beef, and a control made of egg white and pea. Fasting and postprandial urine samples are collected to cover 48 h and profiled by untargeted LC-ESI-qTOF-MS metabolomics. The profiles following the meal challenges are explored by univariate and multivariate analyses. Nine red, four white, and eight general meat biomarkers are selected as putative biomarkers, originating from collagen degradation, flavour compounds, and amino acid metabolism. Heme-related metabolites are masked by the chlorophyll content of the control meal. The candidate biomarkers are confirmed in an independent meal study and validated for plausibility, robustness, time-response, and prediction performance. Combinations of biomarkers are more efficient than single markers in predicting meat intake. Conclusion: New combinations of partially validated biomarkers are proposed to assess terrestrial meat intake and thus help disentangle the effects of meat consumption on human health.

KW - Faculty of Science

KW - Biomarkers

KW - Dietary assessment

KW - Meat

KW - Metabolomics

KW - Combination of markers

U2 - 10.1002/mnfr.201900106

DO - 10.1002/mnfr.201900106

M3 - Journal article

C2 - 31141834

SN - 1613-4125

VL - 63

JO - Molecular Nutrition & Food Research

JF - Molecular Nutrition & Food Research

IS - 17

M1 - 1900106

ER -