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Blood metabolomic profiling confirms and identifies biomarkers of food intake.
Metabolites 10:468 (2020)
Metabolomics can be a tool to identify dietary biomarkers. However, reported food-metabolite associations have been inconsistent, and there is a need to explore further associations. Our aims were to confirm previously reported food-metabolite associations and to identify novel food-metabolite associations. We conducted a cross-sectional analysis of data from 849 participants (57% men) of the PopGen cohort. Dietary intake was obtained using FFQ and serum metabolites were profiled by an untargeted metabolomics approach. We conducted a systematic literature search to identify previously reported food-metabolite associations and analyzed these associations using linear regression. To identify potential novel food-metabolite associations, datasets were split into training and test datasets and linear regression models were fitted to the training datasets. Significant food-metabolite associations were evaluated in the test datasets. Models were adjusted for covariates. In the literature, we identified 82 food-metabolite associations. Of these, 44 associations were testable in our data and confirmed associations of coffee with 12 metabolites, of fish with five, of chocolate with two, of alcohol with four, and of butter, poultry and wine with one metabolite each. We did not identify novel food-metabolite associations; however, some associations were sex-specific. Potential use of some metabolites as biomarkers should consider sex differences in metabolism.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Biomarkers ; Dietary Assessment Methods ; Dietary Intake ; Metabolites ; Untargeted Metabolomics; Dietary Patterns; Serum; Association; Consumption; Frequency; Risk
ISSN (print) / ISBN
2218-1989
e-ISSN
2218-1989
Journal
Metabolites
Quellenangaben
Volume: 10,
Issue: 11,
Article Number: 468
Publisher
MDPI
Publishing Place
St Alban-anlage 66, Ch-4052 Basel, Switzerland
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Computational Biology (ICB)
Institute of Computational Biology (ICB)
Grants
BMBF project
Diet-Body-Brain (DietBB) the Competence Cluster in Nutrition Research - Federal Ministry of Education and Research (BMBF)
Diet-Body-Brain (DietBB) the Competence Cluster in Nutrition Research - Federal Ministry of Education and Research (BMBF)