
handle: 10261/100224
Type 1 diabetes mellitus is one of the most common chronic disorders of childhood. The metabolic control is lost due to the lack of insulin, which is the main treatment for the disease. Nevertheless, long-term complications appear even under good glycemic control. Metabolomics, an emerging strategy, can help in diagnosis, prognosis, and monitoring of metabolic disorders. The objective of the present study was to investigate the alterations in plasma (by LC-MS) and urine (CE-MS) of type 1 diabetic children that were under insulin treatment and good glycemic control. Even without remarkable biochemical differences between the two groups (diabetic and control) except for glucose level and glycosilated hemoglobin, metabolomic tools were able to capture subtle metabolic differences. The main changes in plasma were associated to lipidic metabolism (nonesterified fatty acids, lysophospholipids, and other derivatives of fatty acids), and some markers of the differential activity of the gut microflora were also found (bile acids, p-cresol sulfate). In urine, changes associated to protein and amino acid metabolism were found (amino acids, their metabolites and derivatives), and among them one advanced glycation end product (carboxyethylarginine) and one early glycation end product (fructosamine) were excreted in higher proportion in the diabetic group. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Funded by: Spanish Ministry of Economy and Competitiveness (MINECO). Grant Number: CTQ2011–23562.
Peer Reviewed
Type 1 diabetes mellitus, Metabolomics, Capillary electrophoresis-mass spectrometry, Liquid chromatography-mass spectrometry
Type 1 diabetes mellitus, Metabolomics, Capillary electrophoresis-mass spectrometry, Liquid chromatography-mass spectrometry
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
