Detecting beer intake by unique metabolite patterns

Gözde Gürdeniz, Morten Georg Jensen, Sebastian Meier, Lene Bech, Erik Lund, Lars Ove Dragsted

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Abstract

Evaluation of health related effects of beer intake is hampered by the lack of accurate tools for assessing intakes (biomarkers). Therefore, we identified plasma and urine metabolites associated with recent beer intake by untargeted metabolomics and established a characteristic metabolite pattern representing raw materials and beer production as a qualitative biomarker of beer intake. In a randomized, crossover, single-blinded meal study (MSt1) 18 participants were given one at a time four different test beverages: strong, regular and non-alcoholic beers and a soft drink. Four participants were assigned to have two additional beers (MSt2). In addition to plasma and urine samples, test beverages, wort and hops extract were analyzed by UPLC-QTOF. A unique metabolite pattern reflecting beer metabolome, including metabolites derived from beer raw material (i.e. N-methyl tyramine sulfate and the sum of iso-α-acids and tricyclohumols) and production process (i.e. pyro-glutamyl proline and 2-ethyl malate) were selected to establish a compliance biomarker model for detection of beer intake based on MSt1. The model predicted the MSt2 samples collected before and up to 12 h after beer intake correctly (AUC = 1). A biomarker model including four metabolites representing both beer raw materials and production steps provided a specific and accurate tool for measurement of beer consumption.
Original languageEnglish
JournalJournal of Proteome Research
Volume15
Issue number12
Pages (from-to)4544–4556
ISSN1535-3893
DOIs
Publication statusPublished - 2016

Keywords

  • The Faculty of Science
  • Beer
  • Barley
  • Hops
  • Biomarker model
  • Metabolomics
  • Plasma
  • Urine
  • UPLC-QTOF

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