dc.contributor.author
Urpí Sardà, Mireia
dc.contributor.author
Almanza Aguilera, Enrique
dc.contributor.author
Llorach, Rafael
dc.contributor.author
Vázquez Fresno, Rosa
dc.contributor.author
Estruch Riba, Ramon
dc.contributor.author
Corella Piquer, Dolores
dc.contributor.author
Sorlí, José V.
dc.contributor.author
Carmona Pontaque, Francesc
dc.contributor.author
Sànchez, Àlex (Sànchez Pla)
dc.contributor.author
Salas Salvadó, Jordi
dc.contributor.author
Andrés Lacueva, Ma. Cristina
dc.date.issued
2020-06-02T06:25:35Z
dc.date.issued
2020-06-02T06:25:35Z
dc.date.issued
2019-04-01
dc.date.issued
2020-06-02T06:25:35Z
dc.identifier
https://hdl.handle.net/2445/163513
dc.description.abstract
Aim. - 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
application/pdf
dc.publisher
Elsevier Masson SAS
dc.relation
Versió postprint del document publicat a: https://doi.org/10.1016/j.diabet.2018.02.006
dc.relation
Diabetes & Metabolism, 2019, vol. 45, num. 2, p. 167-174
dc.relation
https://doi.org/10.1016/j.diabet.2018.02.006
dc.rights
(c) Elsevier Masson SAS, 2019
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
dc.subject
Marcadors bioquímics
dc.subject
Diabetis no-insulinodependent
dc.subject
Medicina preventiva
dc.subject
Factors de risc en les malalties
dc.subject
Biochemical markers
dc.subject
Non-insulin-dependent diabetes
dc.subject
Preventive medicine
dc.subject
Risk factors in diseases
dc.title
Non-targeted metabolomic biomarkers and metabotypes of type 2 diabetes: A cross-sectional study of PREDIMED trial participants
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion