2026-04-17T02:32:16Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1669892025-12-05T10:53:09Zcom_2072_1057col_2072_478913col_2072_478917col_2072_478924

00925njm 22002777a 4500 dc Garcia Aloy, Mar author Ulaszewska, Marynka M. author Franceschi, Pietro author Estruel Amades, Seila author Weinert, Christoph H. author Tor Roca, Alba author Urpí Sardà, Mireia author Mattivi, Fulvio author Andrés Lacueva, Ma. Cristina author 2020-06-30T10:39:38Z 2021-05-18T05:10:18Z 2020-05-18 2020-06-30T10:39:39Z 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. Llegums Marcadors bioquímics Metabolòmica Nutrició Orina Legumes Biochemical markers Metabolomics Nutrition Urine Discovery of intake biomarkers of lentils, chickpeas and white beans by untargeted LC-MS metabolomics in serum and urine.