Metabolic profiling of maternal urine can aid clinical management of gestational diabetes mellitus
authors Pinto, J; Diaz, SO; Aguiar, E; Duarte, D; Barros, AS; Galhano, E; Pita, C; Almeida, MD; Carreira, IM; Spraul, M; Gil, AM
nationality International
journal METABOLOMICS
author keywords Gestational diabetes mellitus; Urine; Nuclear magnetic resonance; Metabolomics; Insulin treatment
keywords TRIMESTER AMNIOTIC-FLUID; PRENATAL DISORDERS; PREGNANCY; HYPERGLYCEMIA; PREDICTION; BIOMARKERS; IDENTIFICATION; METABONOMICS; DIAGNOSIS; MOTHERS
abstract Introduction The clinical management of Gestational diabetes mellitus (GDM) would benefit from enhanced metabolic knowledge both at the time of diagnosis and during therapy. Objectives This work aimed at unveiling metabolic markers of GDM and of the subjects' response to therapy. Methods Urine NMR metabolomics was used with a variable selection methodology to reduce uninformative variability. The NMR data was analysed by multivariate and univariate analysis methodologies. Results The results showed that urine NMR metabolomics enables a metabolic signature of GDM to be identified at the time of diagnosis. This signature comprises relevant changes in 12 NMR metabolites/resonances and qualitative variations in a number of additional metabolites. The metabolite changes characterizing GDM suggest adaptations in a number of different pathways and highlight the relevance of gut microflora disturbances in relation to the disease. The impact of diet and insulin treatments on the excreted metabolome of pregnant GDM women was measured and enabled responsive and resistant metabolic pathways to be identified, as well as side-effects of treatment i.e. metabolic changes induced by treatment and previously unrelated to the disease (including changes in the gut microflora). Furthermore, treatment duration was found to be associated to urine metabolic profile, thus emphasizing the possible future use of urine metabolomics in treatment follow-up and efficacy evaluation. Finally, a possible association of a priori urinary metabolome with future treatment requirements is reported, albeit requiring demonstration in larger cohorts. This result supports the hypothesis of different metabotypes characterizing different subjects and relating to individual response to treatment. Conclusion A 12-resonance metabolic signature of GDN at the time of diagnosis was identified and the evaluation of the impact of insulin and/or diet therapies enabled responsive/resistant metabolic pathways and treatment side-effects to be identified.
publisher SPRINGER
issn 1573-3882
year published 2016
volume 12
issue 6
digital object identifier (doi) 10.1007/s11306-016-1046-1
web of science category Endocrinology & Metabolism
subject category Endocrinology & Metabolism
unique article identifier WOS:000378752900010
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journal analysis (jcr 2017):
journal impact factor 3.511
5 year journal impact factor 3.750
category normalized journal impact factor percentile 63.028
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