Literature DB >> 28401628

Metabolomics reveals new metabolic perturbations in children with type 1 diabetes.

Alfonso Galderisi1, Paola Pirillo1,2, Vittoria Moret1, Matteo Stocchero3, Antonina Gucciardi2, Giorgio Perilongo1, Carlo Moretti1, Carlamaria Monciotti1, Giuseppe Giordano1,2, Eugenio Baraldi1.   

Abstract

OBJECTIVE: Using an untargeted metabolomics approach we investigated the metabolome of children with type 1 diabetes (T1D) in comparison with healthy peers and explored the contribution of HbA1c and clinical features to the observed difference. RESEARCH DESIGN AND METHODS: We enrolled children with T1D aged 6-15 years, attending the pediatric diabetes clinic of University of Padova (Italy). Healthy controls were enrolled on voluntary basis and matched for age, sex, pubertal status, body mass index (BMI). We performed a liquid chromatography and mass spectrometry analysis (LC-MS) on fasting urinary samples of the 2 groups.
RESULTS: A total of 56 patients with T1D aged (11.4 ± 2.2) years, and 30 healthy controls (10.7 ± 2.8) years were enrolled. We identified 59 urinary metabolites having a higher level in children with T1D, mainly represented by gluco- and mineralcorticoids, phenylalanine and tryptophan catabolites (kynurenine), small peptides, glycerophospholipids, fatty acids, and gut bacterial products. We did not find any association between HbA1c, pubertal status, disease duration, and metabolome profile within the case group.
CONCLUSIONS: T1D profoundly disrupts the metabolome of pediatric patients. The excess of cortisol and aldosterone may contribute to the development of macrovascular complications in adulthood, while the increase of tryptophan derivates may have a role in neuronal damage associated to hyperglycemia. Determinants of such findings, other than HbA1c, should be explored.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  metabolomics; pediatric diabetes; type 1 diabetes

Mesh:

Year:  2017        PMID: 28401628     DOI: 10.1111/pedi.12524

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  7 in total

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Journal:  Genome Biol       Date:  2021-01-21       Impact factor: 13.583

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Authors:  Oscar Alcazar; Luis F Hernandez; Ernesto S Nakayasu; Carrie D Nicora; Charles Ansong; Michael J Muehlbauer; James R Bain; Ciara J Myer; Sanjoy K Bhattacharya; Peter Buchwald; Midhat H Abdulreda
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  7 in total

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