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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Combined markers to assess meat intake - human metabolomic studies of discovery and validation. / Cuparencu, Cătălina; Rinnan, Åsmund; Dragsted, Lars Ove.

In: Molecular Nutrition & Food Research, Vol. 63, No. 17, 1900106, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Cuparencu, C, Rinnan, Å & Dragsted, LO 2019, 'Combined markers to assess meat intake - human metabolomic studies of discovery and validation', Molecular Nutrition & Food Research, vol. 63, no. 17, 1900106. https://doi.org/10.1002/mnfr.201900106

APA

Cuparencu, C., Rinnan, Å., & Dragsted, L. O. (2019). Combined markers to assess meat intake - human metabolomic studies of discovery and validation. Molecular Nutrition & Food Research, 63(17), [1900106]. https://doi.org/10.1002/mnfr.201900106

Vancouver

Cuparencu C, Rinnan Å, Dragsted LO. Combined markers to assess meat intake - human metabolomic studies of discovery and validation. Molecular Nutrition & Food Research. 2019;63(17). 1900106. https://doi.org/10.1002/mnfr.201900106

Author

Cuparencu, Cătălina ; Rinnan, Åsmund ; Dragsted, Lars Ove. / Combined markers to assess meat intake - human metabolomic studies of discovery and validation. In: Molecular Nutrition & Food Research. 2019 ; Vol. 63, No. 17.

Bibtex

@article{da5ecfd2f4b340119c8f3c254a3d4ec7,
title = "Combined markers to assess meat intake - human metabolomic studies of discovery and validation",
abstract = "Scope: Biomarkers of red meat may clarify the relationship between meat intake and health. Herein we discover biomarkers of intake for three types of meat with varying heme content and further evaluate candidate biomarkers for red and general meat based on defined validation criteria.Methods and results: In a randomized cross-over meal study healthy volunteers consumed a randomized sequence of four test meals: chicken, pork, beef and a control consisting of egg white and pea. Fasting and postprandial urine samples were collected for 48h and profiled by untargeted LC-ESI-qTOF-MS metabolomics. The profiles following the meal challenges were explored by univariate and multivariate analyses. Nine red-, four white- and eight general meat biomarkers were selected, originating from collagen degradation, meat aroma compounds, and amino acid metabolism. Heme-related metabolites were masked by the chlorophyll content of the control meal. The candidate biomarkers were confirmed in an independent meal study and validated for plausibility, robustness, time-response and prediction performance. Combinations of biomarkers were 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.",
keywords = "Faculty of Science, Biomarkers, Dietary assessment, Meat, Metabolomics, Combination of markers",
author = "Cătălina Cuparencu and {\AA}smund Rinnan and Dragsted, {Lars Ove}",
note = "CURIS 2019 NEXS 204 This article is protected by copyright. All rights reserved.",
year = "2019",
doi = "10.1002/mnfr.201900106",
language = "English",
volume = "63",
journal = "Molecular Nutrition & Food Research",
issn = "1613-4125",
publisher = "Wiley-VCH",
number = "17",

}

RIS

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

Y1 - 2019

N2 - Scope: Biomarkers of red meat may clarify the relationship between meat intake and health. Herein we discover biomarkers of intake for three types of meat with varying heme content and further evaluate candidate biomarkers for red and general meat based on defined validation criteria.Methods and results: In a randomized cross-over meal study healthy volunteers consumed a randomized sequence of four test meals: chicken, pork, beef and a control consisting of egg white and pea. Fasting and postprandial urine samples were collected for 48h and profiled by untargeted LC-ESI-qTOF-MS metabolomics. The profiles following the meal challenges were explored by univariate and multivariate analyses. Nine red-, four white- and eight general meat biomarkers were selected, originating from collagen degradation, meat aroma compounds, and amino acid metabolism. Heme-related metabolites were masked by the chlorophyll content of the control meal. The candidate biomarkers were confirmed in an independent meal study and validated for plausibility, robustness, time-response and prediction performance. Combinations of biomarkers were 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. Herein we discover biomarkers of intake for three types of meat with varying heme content and further evaluate candidate biomarkers for red and general meat based on defined validation criteria.Methods and results: In a randomized cross-over meal study healthy volunteers consumed a randomized sequence of four test meals: chicken, pork, beef and a control consisting of egg white and pea. Fasting and postprandial urine samples were collected for 48h and profiled by untargeted LC-ESI-qTOF-MS metabolomics. The profiles following the meal challenges were explored by univariate and multivariate analyses. Nine red-, four white- and eight general meat biomarkers were selected, originating from collagen degradation, meat aroma compounds, and amino acid metabolism. Heme-related metabolites were masked by the chlorophyll content of the control meal. The candidate biomarkers were confirmed in an independent meal study and validated for plausibility, robustness, time-response and prediction performance. Combinations of biomarkers were 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

VL - 63

JO - Molecular Nutrition & Food Research

JF - Molecular Nutrition & Food Research

SN - 1613-4125

IS - 17

M1 - 1900106

ER -

ID: 221262364