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• W4311421801 abstract "Intake biomarkers of cranberry juice in women are needed to assess its consumption in clinical trials. Discriminant biomarkers in urine may also help to explain the reported bacterial anti-adhesive and UTI preventative activities associated with cranberry juice intake. We hypothesized that validated and annotated discriminant metabolites in human urine could be used as intake biomarkers in building predictive multivariate models to classify cranberry consumers. Urine samples were collected from 16 healthy young women aging 18-29 at baseline and after 3-day and 21-day consumption of cranberry or placebo juice in a double-blind, crossover study. Urine metabolomes were analyzed using UHPLC-coupled with Orbitrap high-resolution mass spectrometry. Paired and unpaired multivariate analyses were used to annotate or identify discriminant metabolic features after cranberry consumption. Twenty-six discriminant metabolic features from paired analysis and 27 from unpaired analysis after cranberry consumption in a previous open-label intervention were rediscovered in the present blinded study. These metabolites included exogenous ones such as quinic acid and endogenous ones such as hippuric acid. The paired analysis showed better model fitting with PLS-DA models built upon all metabolites than the unpaired analysis. But predictive models built upon shared metabolites by the unpaired analysis were able to classify cranberry juice consumers with 84.4%-100% correction rates, overall better than the paired analysis (50%-100%). The present double-blind study validated discriminant metabolites from a previous open-label study. These urinary metabolites may be associated with the ability of cranberries to prevent UTIs and serve as potential cranberry intake biomarkers. It reveals the importance of selecting the right predictive models to classify cranberry consumers with higher than 95% correction rates." @default.
• W4311421801 created "2022-12-26" @default.
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• W4311421801 date "2023-01-01" @default.
• W4311421801 modified "2023-10-16" @default.
• W4311421801 title "Predictive models built upon annotated and validated intake biomarkers in urine using paired or unpaired analysis helped to classify cranberry juice consumers in a randomized, double-blinded, placebo-controlled, and crossover study" @default.
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• W4311421801 doi "https://doi.org/10.1016/j.nutres.2022.12.002" @default.
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