Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/163513
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dc.contributor.authorUrpí Sardà, Mireia-
dc.contributor.authorAlmanza Aguilera, Enrique-
dc.contributor.authorLlorach, Rafael-
dc.contributor.authorVázquez Fresno, Rosa-
dc.contributor.authorEstruch Riba, Ramon-
dc.contributor.authorCorella Piquer, Dolores-
dc.contributor.authorSorlí, José V.-
dc.contributor.authorCarmona Pontaque, Francesc-
dc.contributor.authorSànchez, Àlex (Sànchez Pla)-
dc.contributor.authorSalas Salvadó, Jordi-
dc.contributor.authorAndrés Lacueva, Ma. Cristina-
dc.date.accessioned2020-06-02T06:25:35Z-
dc.date.available2020-06-02T06:25:35Z-
dc.date.issued2019-04-01-
dc.identifier.issn1262-3636-
dc.identifier.urihttp://hdl.handle.net/2445/163513-
dc.description.abstractAim. - To characterize the urinary metabolomic fingerprint and multi-metabolite signature associated with type 2 diabetes (T2D), and to classify the population into metabotypes related to T2D. Methods. - A metabolomics analysis using the 1 H-NMR-based, non-targeted metabolomic approach was conducted to determine the urinary metabolomic fingerprint of T2D compared with non-T2D participants in the PREDIMED trial. The discriminant metabolite fingerprint was subjected to logistic regression analysis and ROC analyses to establish and to assess the multi-metabolite signature of T2D prevalence, respectively. Metabotypes associated with T2D were identified using the k-means algorithm. Results. - A total of 33 metabolites were significantly different (P < 0.05) between T2D and non-T2D participants. The multi-metabolite signature of T2D comprised high levels of methylsuccinate, alanine, dimethylglycine and guanidoacetate, and reduced levels of glutamine, methylguanidine, 3-hydroxymandelate and hippurate, and had a 96.4% AUC, which was higher than the metabolites on their own and glucose. Amino-acid and carbohydrate metabolism were the main metabolic alterations in T2D, and various metabotypes were identified in the studied population. Among T2D participants, those with a metabotype of higher levels of phenylalanine, phenylacetylglutamine, p-cresol and acetoacetate had significantly higher levels of plasma glucose. Conclusion. - The multi-metabolite signature of T2D highlights the altered metabolic fingerprint associated mainly with amino-acid, carbohydrate and microbiota metabolism. Metabotypes identified in this patient population could be related to higher risk of long-term cardiovascular events and therefore require further studies. Metabolomics is a useful tool for elucidating the metabolic complexity and interindividual variation in T2D towards the development of stratified precision nutrition and medicine-
dc.format.extent8 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherElsevier Masson SAS-
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.diabet.2018.02.006-
dc.relation.ispartofDiabetes & Metabolism, 2019, vol. 45, num. 2, p. 167-174-
dc.relation.urihttps://doi.org/10.1016/j.diabet.2018.02.006-
dc.rights(c) Elsevier Masson SAS, 2019-
dc.sourceArticles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)-
dc.subject.classificationDietoteràpia-
dc.subject.classificationMetabolisme-
dc.subject.classificationMarcadors bioquímics-
dc.subject.classificationDiabetis no-insulinodependent-
dc.subject.classificationMedicina preventiva-
dc.subject.classificationMetabolòmica-
dc.subject.classificationFactors de risc en les malalties-
dc.subject.otherDiet therapy-
dc.subject.otherMetabolism-
dc.subject.otherBiochemical markers-
dc.subject.otherNon-insulin-dependent diabetes-
dc.subject.otherPreventive medicine-
dc.subject.otherMetabolomics-
dc.subject.otherRisk factors in diseases-
dc.titleNon-targeted metabolomic biomarkers and metabotypes of type 2 diabetes: A cross-sectional study of PREDIMED trial participants-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/acceptedVersion-
dc.identifier.idgrec676649-
dc.date.updated2020-06-02T06:25:35Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Genètica, Microbiologia i Estadística)
Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)

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