Cited by 144Food Chemistry and Fat AnalysisMetabolomics and Mass Spectrometry StudiesPhytochemicals and Antioxidant Activities

An LC-MS-based metabolomics approach for exploring urinary metabolome modifications after cocoa consumption

Llorach, Rafael, Urpi-Sarda, Mireia, Jauregui, Olga, Monagas, Maria, Andres-Lacueva, Cristina·2009·Journal of Proteome Research

Abstract

Cocoa-phytochemicals have been related to the health-benefits of cocoa consumption. Metabolomics has been proposed as a powerful tool to characterize both the intake and the effects on the metabolism of dietary components. Human urine metabolome modifications after single cocoa intake were explored in a randomized, crossed, and controlled trial. After overnight fasting, 10 subjects consumed randomly either a single dose of cocoa powder with milk or water, or milk without cocoa. Urine samples were collected before the ingestion and at 0-6, 6-12, and 12-24-h after test-meals consumption. Samples were analyzed by HPLC-q-ToF, followed by multivariate data analysis. Results revealed an important effect on urinary metabolome during the 24 h after cocoa powder intake. These changes were not influenced by matrix as no global differences were found between cocoa powder consumption with milk or with water. Overall, 27 metabolites related to cocoa-phytochemicals, including alkaloid derivatives, polyphenol metabolites (both host and microbial metabolites) and processing-derived products such as diketopiperazines, were identified as the main contributors to the urinary modifications after cocoa powder intake. These results confirm that metabolomics will contribute to better characterization of the urinary metabolome in order to further explore the metabolism of phytochemicals and its relation with human health.

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Crossref · 10.1021/pr900470a

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  • High-resolution LC-Q-TOF MS with electrospray ionization has successfully detected compounds such as terpene metabolites, diketopiperazine metabolites, phenylvalerolactones, and benzoxazinoid metabolites, which are candidate biomarkers of food intake not easily detected by NMR or GC-MS.

    “This technique has been successful in detecting compounds such as terpene metabolites, diketopiperazine metabolites, phenylvalerolactones, and benzoxazinoid metabolites, which are interesting candidate biomarkers of food intake that would not be easily detected in biofluids by NMR or GC-MS (49,86,96).”

    From The food metabolome: a window over dietary exposure (2014) · cites this paper as [96]

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Authors
Llorach, R., Urpi-Sarda, M., Jauregui, O., Monagas, M., & Andres-Lacueva, C.
Affiliations
Department of Nutrition and Food Science, XaRTA-INSA, Pharmacy Faculty, University of Barcelona, Barcelona, Spain, Scientific and Technical Services, University of Barcelona, Barcelona, Spain, Instituto de Fermentaciones Industriales (CSIC), Madrid, Spain, and INGENIO−CONSOLIDER program Fun-C-Food, CSD2007-063, Barcelona, Spain
Venue
Journal of Proteome Research
Published
2009-10-05
Volume
8
Issue
11
Pages
5060-5068
ISSN
  • 1535-3893 (ISSN-L)
  • 1535-3907
OpenAlex
W2118827828
Cited by
144
References
50
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 5 · 2021: 6 · 2020: 5 · 2019: 8 · 2018: 10 · 2017: 10 · 2016: 5 · 2015: 10 · 2014: 21 · 2013: 22 · 2012: 13
FWCI
18.47
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Proteome Research (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Food Chemistry and Fat Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Health Sciences › Medicine › Biochemistry › Phytochemicals and Antioxidant Activities
Keywords
cocoa consumption, urinary metabolome, polyphenol metabolites, alkaloid derivatives, diketopiperazines, gut microbiota metabolites
MeSH terms
Adolescent, Adult, Animals, Cacao, Chromatography, Liquid, Diet, Female, Flavonoids, Humans, Male, Middle Aged, Milk, Phenols, Mass Spectrometry, Urine, Biomarkers, Metabolomics, Young Adult

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