4.7 Article

Untargeted H-1 NMR-Based Metabolomics Analysis of Urine and Serum Profiles after Consumption of Lentils, Chickpeas, and Beans: An Extended Meal Study To Discover Dietary Biomarkers of Pulses

Journal

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Volume 66, Issue 27, Pages 6997-7005

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.8b00047

Keywords

biomarkers; dietary pulses; legumes; metabolomics; NMR

Funding

  1. Spanish Ministry of Economy and Competitiveness (MINECO) [PCIN-2014-133]
  2. CIBERFES
  3. FEDER program from the EU
  4. Generalitat de Catalunya's Agency AGAUR [2017SGR1546]
  5. POSITIVe COST Action [FA1403]
  6. APIF fellowship (University of Barcelona)
  7. research council FORMAS [2016-00314]

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High legume intake has been shown to have beneficial effects on the health of humans. The use of nutritional biomarkers, as a complement to self-reported questionnaires, could assist in evaluating dietary intake and downstream effects on human health. The aim of this study was to investigate potential biomarkers of the consumption of pulses (i.e., white beans, chickpeas, and lentils) by using untargeted NMR-based metabolomics. Meals rich in pulses were consumed by a total of 11 participants in a randomized crossover study and multilevel partial least-squares regression was employed for paired comparisons. Metabolomics analysis indicated that trigonelline, 3-methylhistidine, dimethylglycine, trimethylamine, and lysine were potential, though not highly specific, biomarkers of pulse intake. Furthermore, monitoring of these metabolites for a period of 48 h after intake revealed a range of different excretion patterns among pulses. Following the consumption of pulses, a metabolomic profiling revealed that the concentration ratios of trigonelline, choline, lysine, and histidine were similar to those found in urine. In conclusion, this study identified potential urinary biomarkers of exposure to dietary pulses and provided valuable information about the time-response effect of these putative biomarkers.

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