Discovery of intake biomarkers of lentils, chickpeas and white beans by untargeted LC-MS metabolomics in serum and urine

Autor: Mar Garcia-Aloy, Pietro Franceschi, Christoph H. Weinert, Marynka Ulaszewska, Fulvio Mattivi, Alba Tor-Roca, Sheila Estruel-Amades, Mireia Urpi-Sarda, Cristina Andres-Lacueva
Rok vydání: 2020
Předmět:
Male
0301 basic medicine
Indoles
Llegums
Urine
Mass Spectrometry
Protocatechuic acid
chickpeas
Eating
chemistry.chemical_compound
Liquid chromatography–mass spectrometry
white beans
pulses
Food science
Pipecolic acid
Phaseolus
Biochemical markers
Postprandial Period
Legumes
Postprandial
Metabolòmica
Pipecolic Acids
Marcadors bioquímics
biomarkers discovery
Female
Lens Plant
Biotechnology
Adult
pulses
lentils
chickpeas
white beans
serum
urine
untargeted metabolomics
biomarkers discovery
Urinary system
Biology
Young Adult
03 medical and health sciences
Alkaloids
Metabolomics
Trigonelline
Humans
Settore CHIM/10 - CHIMICA DEGLI ALIMENTI
Nutrició
Nutrition
030109 nutrition & dietetics
Orina
Cicer
untargeted metabolomics
030104 developmental biology
chemistry
lentils
serum
Biomarkers
Chromatography
Liquid
Food Science
Zdroj: Dipòsit Digital de la UB
Universidad de Barcelona
Popis: 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.
Databáze: OpenAIRE
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