Serum glycerophosphate levels are increased in Japanese men with type 2 diabetes.
ABSTRACT To identify metabolites showing changes in serum levels among Japanese male with diabetes.
We performed metabolite profiling by coupling capillary electrophoresis with electrospray ionization time-of-flight mass spectrometry using fasting serum samples from Japanese male subjects with diabetes (n=17), impaired glucose tolerance (IGT; n=5) and normal glucose tolerance (NGT; n=14).
Other than the expected differences in characteristics related to abnormal glucose metabolism, the percent body fat was significantly different among subjects with diabetes, IGT and NGT (27.3±6.2, 22.2±4.5 and 19.2±6.0%, respectively, p=0.0022). Therefore, percent body fat was considered as a possible confounding factor in subsequent analyses. Of 560 metabolites detected using our platform, the levels of 74 metabolites were quantified in all of the serum samples. Significant differences between diabetes and NGT were observed for 24 metabolites. The top-ranked metabolite was glycerol-3-phophate (glycerophosphate), which was significantly higher in subjects with diabetes than in those with NGT, even after Bonferroni correction for multiple testing (11.7±3.6 vs. 6.4±1.9 µM, respectively; corrected p=0.0222). Stepwise multiple regression analyses revealed that serum glycerophosphate levels were significantly correlated with 2-h plasma glucose after a 75-g oral glucose tolerance test (r=0.553, p=0.0005), independently of other characteristics, including FPG and HbA1c.
Serum glycerophosphate levels were found to be elevated in Japanese men with diabetes, and correlated with 2-h PG, independent of FPG and HbA1c. Namely, serum glycerophosphate level at fasting condition can be a marker for predicting glucose intolerance. These results warrant further studies to evaluate the relevance of glycerophosphate in the pathophysiology of diabetes.
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ABSTRACT: Metabolomics is one of the most recent trends in the "omics" era that investigates the end-products of an organism activity, i.e. all metabolites in a biological system, which are small molecules (less than 1000 Da) from different chemical classes. Metabolomics represents a tool to assess the biochemical activity of a living system through the analysis of substrates and products processed during the metabolism. The analysis of the metabolic profile (non-targeted analysis, i.e. a comparison between samples profiles of individuals) and of specific metabolites (targeted analysis, which quantifies a selected group of metabolites) in biological samples provide an insight into the metabolic state and the biochemical processes of the organism and, therefore, may indicate the onset and the stage of different diseases. An early and accurate diagnosis is essential for successful treatment and probable cure of most illnesses; hence the investigation of metabolites as diseases biomarkers has increased considerably in recent years. This review aims to present the most relevant works that address the non-targeted and targeted analysis of metabolites in different diseases for the past 10 years, including kidney and neurological disorders, cardiovascular diseases, diabetes and cancer, using capillary electrophoresis and liquid chromatography coupled with the accurate detection of mass spectroscopy. This article is protected by copyright. All rights reserved.Electrophoresis 12/2013; 35(9). · 3.16 Impact Factor
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ABSTRACT: This review provides an update of the state-of-the-art of CE-MS for metabolomic purposes, covering the scientific literature from July 2008 to June 2010. This review describes the different analytical aspects with respect to non-targeted and targeted metabolomics and the new technological developments used in CE-MS for metabolomics. The applicability of CE-MS in metabolomics research is illustrated by examples of the analysis of biomedical and clinical samples, and for bacterial and plant extracts. The relevant papers on CE-MS for metabolomics are comprehensively summarized in a table, including, e.g. information on sample type and pretreatment, and MS detection mode. Future considerations such as challenges for large-scale and (quantitative) clinical metabolomics studies and the use of sheathless interfacing and different ionization techniques are discussed.Electrophoresis 01/2011; 32(1):52-65. · 3.16 Impact Factor