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Metabolomics Based Biomarkers of Green Beans Intake.

Created on 12 Oct 2026

Authors

Rebecca Finlay, Ya Gao, Qi Sun, Frank Hu, Jayne Woodside, Xiaofei Yin, Lorraine Brennan

Published in

Molecular nutrition & food research. Volume 70. Issue 19. Pages e70625.

Abstract

While there is considerable interest in legumes as a food source, there are no validated biomarkers for green beans (Phaseolus vulgaris, L.) intake. The objective of the current work is to identify and assess the dose-response of food intake biomarkers of green beans. In an acute intervention study, 27 participants consumed green beans in the study center and urine samples were collected pre- and post-consumption. Metabolites were measured by nuclear magnetic resonance (1H-NMR) and liquid chromatography-mass spectrometry (LC-MS). Statistical analysis determined features that changed post-consumption of green beans. Selected metabolites were assessed for dose-response in a follow-up study (n = 16). Analysis revealed 745 1H-NMR spectral regions and 318 LC-MS features that increased in intensity over time following consumption of green beans. Three 1H-NMR and 12 LC-MS metabolites displayed a dose-response relationship to increasing portion size of green beans (p <0.05), including amino acid conjugates (glycine conjugate, N-phenylacetylglutamine), hydroxyabscisic acid glucuronide and amino-hydroxybenzoic acid. Partial least squares discriminant analysis predicted low or high green bean intake with 91.6% accuracy. We identified 15 urinary food intake biomarkers of green beans. A biomarker panel classified individuals as low or high green bean consumers with good accuracy, progressing ongoing efforts to improve dietary assessment methods.

PMID:
42860877
Bibliographic data and abstract were imported from PubMed on 12 Oct 2026.

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