Combined Markers to Assess Meat Intake—Human Metabolomic Studies of Discovery and Validation. Issue 17 (13th June 2019)
- Record Type:
- Journal Article
- Title:
- Combined Markers to Assess Meat Intake—Human Metabolomic Studies of Discovery and Validation. Issue 17 (13th June 2019)
- Main Title:
- Combined Markers to Assess Meat Intake—Human Metabolomic Studies of Discovery and Validation
- Authors:
- Cuparencu, Cătălina
Rinnan, Åsmund
Dragsted, Lars O. - Abstract:
- Abstract : 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. Abstract : Biomarkers of meat intake may be important tools inAbstract : 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. Abstract : Biomarkers of meat intake may be important tools in deciphering the health effects of meat consumption. In this paper, two human cross‐over meal studies are used. In the first study, biomarkers for intake of three types of meat are explored and characterized; in the second study, the best candidate biomarkers of meat, specifically of red meat, are confirmed and partially validated. Finally, how well individual and combined biomarkers are able to predict meat intake is evaluated. … (more)
- Is Part Of:
- Molecular nutrition & food research. Volume 63:Issue 17(2019)
- Journal:
- Molecular nutrition & food research
- Issue:
- Volume 63:Issue 17(2019)
- Issue Display:
- Volume 63, Issue 17 (2019)
- Year:
- 2019
- Volume:
- 63
- Issue:
- 17
- Issue Sort Value:
- 2019-0063-0017-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2019-06-13
- Subjects:
- biomarkers -- combination of markers -- dietary assessment -- meat -- metabolomics
Food -- Biotechnology -- Periodicals
Food -- Microbiology -- Periodicals
Nutrition -- Periodicals
Food -- Toxicology -- Periodicals
Nutrition -- Periodicals
Food Microbiology -- Periodicals
Food Technology -- Periodicals
Molecular Biology -- Periodicals
664.0705 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/mnfr.201900106 ↗
- Languages:
- English
- ISSNs:
- 1613-4125
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.817992
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17487.xml