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Langenau, J.* ; Oluwagbemigun, K.* ; Brachem, C.* ; Lieb, W.* ; di Giuseppe, R.* ; Artati, A. ; Kastenmüller, G. ; Weinhold, L.* ; Schmid, M.* ; Nöthlings, U.*

Blood metabolomic profiling confirms and identifies biomarkers of food intake.

Metabolites 10:468 (2020)
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Open Access Gold
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Biomarkers ; Dietary Assessment Methods ; Dietary Intake ; Metabolites ; Untargeted Metabolomics; Dietary Patterns; Serum; Association; Consumption; Frequency; Risk
Sprache englisch
Veröffentlichungsjahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 2218-1989
e-ISSN 2218-1989
Zeitschrift Metabolites
Quellenangaben Band: 10, Heft: 11, Seiten: , Artikelnummer: 468 Supplement: ,
Verlag MDPI
Verlagsort St Alban-anlage 66, Ch-4052 Basel, Switzerland
Begutachtungsstatus Peer reviewed
Institut(e) Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Computational Biology (ICB)
POF Topic(s) 30201 - Metabolic Health
30205 - Bioengineering and Digital Health
Forschungsfeld(er) Genetics and Epidemiology
Enabling and Novel Technologies
PSP-Element(e) G-505600-003
G-503891-001
Förderungen BMBF project
Diet-Body-Brain (DietBB) the Competence Cluster in Nutrition Research - Federal Ministry of Education and Research (BMBF)
DOI 10.3390/metabo10110468
WOS ID WOS:000593349200001
WOS ID 33212857
Scopus ID 85096616837
Erfassungsdatum 2020-12-14
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