Literature DB >> 29555466

Non-targeted metabolomic biomarkers and metabotypes of type 2 diabetes: A cross-sectional study of PREDIMED trial participants.

M Urpi-Sarda1, E Almanza-Aguilera2, R Llorach2, R Vázquez-Fresno3, R Estruch4, D Corella5, J V Sorli5, F Carmona6, A Sanchez-Pla6, J Salas-Salvadó7, C Andres-Lacueva8.   

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 1H-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. Trial registration at www.controlled-trials.com: ISRCTN35739639.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Metabolomics; Metabotypes; Multi-metabolite signature; NMR; PREDIMED; Type 2 diabetes

Mesh:

Substances:

Year:  2018        PMID: 29555466     DOI: 10.1016/j.diabet.2018.02.006

Source DB:  PubMed          Journal:  Diabetes Metab        ISSN: 1262-3636            Impact factor:   6.041


  16 in total

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7.  Untargeted metabolomics for uncovering plasma biological markers of wet age-related macular degeneration.

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8.  Impaired Amino Acid and TCA Metabolism and Cardiovascular Autonomic Neuropathy Progression in Type 1 Diabetes.

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9.  Repeated administration of the NSAID meloxicam alters the plasma and urine lipidome.

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Journal:  Metabolites       Date:  2019-06-24
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