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Detecting Beer Intake by Unique Metabolite Patterns.

Gözde Gürdeniz¹, Morten Georg Jensen², Sebastian Meier³

¹Department of Nutrition, Sports and Exercise, Faculty of Science, University of Copenhagen , Rolighedsvej 30, Frederiksberg C, 1958, Denmark.

Journal of Proteome Research

|October 27, 2016

Summary

This summary is machine-generated.

Researchers developed a novel biomarker to accurately measure recent beer consumption. This tool identifies specific metabolites in plasma and urine, reflecting beer

Keywords:

UPLC-QTOF barley beer biomarker model hops metabolomics plasma urine

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Area of Science:

Metabolomics
Biomarker Discovery
Nutritional Science

Background:

Assessing beer intake accurately is challenging due to a lack of reliable biomarkers.
Understanding beer consumption is crucial for evaluating its health-related effects.

Purpose of the Study:

To identify plasma and urine metabolites linked to recent beer consumption.
To develop a qualitative biomarker for detecting beer intake.

Main Methods:

Untargeted metabolomics was used to analyze plasma and urine samples from a controlled meal study.
Participants consumed different beverages, including various beers and a soft drink.
Liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF) analyzed metabolites in beverages, wort, and hops extract.

Main Results:

A unique metabolite pattern, including compounds from raw materials (e.g., N-methyl tyramine sulfate, iso-α-acids) and production (e.g., pyro-glutamyl proline), was identified.
A biomarker model based on this pattern accurately predicted beer intake in a separate study group (AUC = 1).
The model demonstrated high specificity and accuracy in detecting beer consumption up to 12 hours post-intake.

Conclusions:

A novel biomarker model comprising four key metabolites can accurately measure recent beer consumption.
This biomarker reflects both the raw materials and production process of beer.
The developed tool offers a specific and accurate method for quantifying beer intake.