Discovery of Intake Biomarkers of Lentils, Chickpeas, and White Beans by Untargeted LC–MS Metabolomics in Serum and Urine. Issue 13 (22nd June 2020)

• Record Type: Journal Article
• Authors: Garcia‐Aloy, Mar; Ulaszewska, Marynka; Franceschi, Pietro; Estruel‐Amades, Sheila; Weinert, Christoph H.; Tor‐Roca, Alba; Urpi‐Sarda, Mireia; Mattivi, Fulvio; Andres‐Lacueva, Cristina
• Is Part Of: Molecular nutrition & food research. Volume 64:Issue 13(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-06-22
• Subjects: biomarkers -- dietary assessment -- legumes -- metabolomics -- nutrimetabolomics; Food -- Biotechnology -- Periodicals; Food -- Microbiology -- Periodicals; Nutrition -- Periodicals; Food -- Toxicology -- Periodicals; Nutrition -- Periodicals; Food Microbiology -- Periodicals; Food Technology -- Periodicals; Molecular Biology -- Periodicals; 664.0705
• DOI: 10.1002/mnfr.201901137
• Languages: English
• ISSNs: 1613-4125

Abstract

Abstract : Scope: To identify reliable biomarkers of food intake (BFIs) of pulses. Methods and results: A randomized crossover postprandial intervention study is conducted on 11 volunteers who consumed lentils, chickpeas, and white beans. Urine and serum samples are collected at distinct postprandial time points up to 48 h, and analyzed by LC‐HR‐MS untargeted metabolomics. Hypaphorine, trigonelline, several small peptides, and polyphenol‐derived metabolites prove to be the most discriminating urinary metabolites. Two arginine‐related compounds, dopamine sulfate and epicatechin metabolites, with their microbial derivatives, are identified only after intake of lentils, whereas protocatechuic acid is identified only after consumption of chickpeas. Urinary hydroxyjasmonic and hydroxydihydrojasmonic acids, as well as serum pipecolic acid and methylcysteine, are found after white bean consumption. Most of the metabolites identified in the postprandial study are replicated as discriminants in 24 h urine samples, demonstrating that in this case the use of a single, noninvasive sample is suitable for revealing the consumption of pulses. Conclusions: The results of the present untargeted metabolomics work reveals a broad list of metabolites that are candidates for use as biomarkers of pulse intake. Further studies are needed to validate these BFIs and to find the best combinations of them to boost their specificity. Abstract : A broad list of metabolites are found to be candidates for use as biomarkers of legume intake. Flavan‐3‐ol and arginine‐related compounds are particular for lentils, protocatechuic acid glucoside for chickpeas; methylcysteine, pipecolic, and hydroxyjasmonic acids for white beans; and hypaphorine for chickpeas and lentils. Additionally, several peptides, trigonelline, and polyphenol‐derived metabolites appeared to be more generic indicators of legume consumption.