Metabolome-based clustering after moderate wine consumption
| Autor: | Esteban-Fernández, Adelaida, Ibáñez, Clara, Simó, Carolina, Bartolomé, Begoña, Moreno-Arribas, M. Victoria |
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| Přispěvatelé: | Ministerio de Economía y Competitividad (España), Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Comunidad de Madrid |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | OENO One, Vol 54, Iss 3 (2020) Digital.CSIC. Repositorio Institucional del CSIC instname |
| ISSN: | 2494-1271 |
| Popis: | Grouping individuals according to their metabolic capacities (metabotyping) has caused a shift from individualised to grouped treatments for the optimisation of nutritional interventions. Several studies have reported a stratification of patients into metabolic clusters after the intake of certain foods, of which polyphenols seem to be mostly associated with metabotypes. Despite this, there is a lack of metabotyping studies regarding wine consumption. In this context, the human urinary metabolome of healthy volunteers (n=41) was explored by means of a non-targeted metabolomic approach after an intervention with red wine (250 mL/day, 28 days). Three clusters of volunteers based on their relative production of phenolic metabolites were perceived , and the compounds responsible for this clustering were identified. To our knowledge, this is the first time that different urinary metabotypes have been described in healthy volunteers after moderate red wine consumption. Our findings suggest that stratification of individuals in clinical trials according to their metabotype is necessary to fully understand the health effects of wine polyphenols. This work was funded by the Spanish MINECO (AGL2015-64522-C2-R and AGL2017-89055-R projects) and Comunidad de Madrid (ALIBIRD2020-CM P2018/BAA-4343). A.E-F is a recipient of a fellowship from the FPIMINECO programme. |
| Databáze: | OpenAIRE |
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