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The study aims to identify biomarkers related to blueberry intake using untargeted metabolomics of human urine.

May 15, 2026Journal of Agricultural and Food Chemistry0 citations

Biomarkers of Dietary Blueberry Intake: Insights from an Untargeted Metabolomics Study of Human Urine Using Dual-Column UHPLC-MS

YXY XuBeijing Institute of Technology PLP. R. LiShanghai Institute of Nutrition and Health ZXZilin XiaoShanghai Institute of Nutrition and Health

Key Points

The study aims to identify biomarkers related to blueberry intake using untargeted metabolomics of human urine.
Utilized dual-column UHPLC-MS for metabolomic analysis of human urine samples
Analyzed metabolites to identify specific biomarkers associated with blueberry consumption
Evaluated predictive performance of identified biomarkers for blueberry intake.
The biomarker -glucoside has an AUC of 0.81 for predicting blueberry intake within 24 hours
This biomarker demonstrates good specificity compared to other fruits
Findings indicate the potential benefits of developing biomarkers for more accurate dietary intake assessment of blueberries.

Abstract

-glucoside best predicted recent blueberry intake (AUC 0.81) beyond 24 h after intake and showed good specificity relative to other fruits. These findings support further development of BFIs for blueberry intake.

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