Urpí Sardà, MireiaAlmanza Aguilera, EnriqueLlorach, RafaelVázquez Fresno, RosaEstruch Riba, RamonCorella Piquer, DoloresSorlí, José V.Carmona Pontaque, FrancescSànchez, Àlex (Sànchez Pla)Salas Salvadó, JordiAndrés Lacueva, Ma. Cristina2020-06-022020-06-022019-04-011262-3636https://hdl.handle.net/2445/163513Aim. - 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 medicine8 p.application/pdfeng(c) Elsevier Masson SAS, 2019DietoteràpiaMetabolismeMarcadors bioquímicsDiabetis no-insulinodependentMedicina preventivaMetabolòmicaFactors de risc en les malaltiesDiet therapyMetabolismBiochemical markersNon-insulin-dependent diabetesPreventive medicineMetabolomicsRisk factors in diseasesinfo:eu-repo/semantics/article6766492020-06-02info:eu-repo/semantics/openAccess