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Title: Non-targeted metabolomic biomarkers and metabotypes of type 2 diabetes: A cross-sectional study of PREDIMED trial participants
Author: Urpí Sardà, Mireia
Almanza Aguilera, Enrique
Llorach, Rafael
Vázquez Fresno, Rosa
Estruch Riba, Ramon
Corella Piquer, Dolores
Sorlí, José V.
Carmona Pontaque, Francesc
Sànchez, Àlex (Sànchez Pla)
Salas Salvadó, Jordi
Andrés Lacueva, Ma. Cristina
Keywords: Dietoteràpia
Marcadors bioquímics
Diabetis no-insulinodependent
Medicina preventiva
Factors de risc en les malalties
Diet therapy
Biochemical markers
Non-insulin-dependent diabetes
Preventive medicine
Risk factors in diseases
Issue Date: 1-Apr-2019
Publisher: Elsevier Masson SAS
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
Note: Versió postprint del document publicat a:
It is part of: Diabetes & Metabolism, 2019, vol. 45, num. 2, p. 167-174
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ISSN: 1262-3636
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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