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Padberg I.,Metanomics Health GmbH and Metanomics GmbH | Peter E.,Metanomics Health GmbH and Metanomics GmbH | Gonzalez-Maldonado S.,Metanomics Health GmbH and Metanomics GmbH | Witt H.,Metanomics Health GmbH and Metanomics GmbH | And 9 more authors.
PLoS ONE | Year: 2014

Objective: The objective of the current study was to find a metabolic signature associated with the early manifestations of type-2 diabetes mellitus. Research Design and Method: Modern metabolic profiling technology (MxP™ Broad Profiling) was applied to find early alterations in the plasma metabolome of type-2 diabetic patients. The results were validated in an independent study. Eicosanoid and single inon monitoring analysis (MxP™ Eicosanoid and MxP™ SIM analysis) were performed in subsets of samples. Results: A metabolic signature including significantly increased levels of glyoxylate as a potential novel marker for early detection of type-2 diabetes mellitus was identified in an initial study (Study1). The signature was significantly altered in fasted diabetic and pre-diabetic subjects and in non-fasted subjects up to three years prior to the diagnosis of type-2 diabetes; most alterations were also consistently found in an independent patient group (Study 2). In Study 2 diabetic and most control subjects suffered from heart failure. In Study 1 a subgroup of diabetic subjects, with a history of use of anti-hypertensive medication further showed a more pronounced increase of glyoxylate levels, compared to a non-diabetic control group when tested in a hyperglycemic state. In the context of a prior history of anti-hypertensive medication, alterations in hexosamine and eicosanoid levels were also found. Conclusion: A metabolic signature including glyoxylate was associated with type-2 diabetes mellitus, independent of the fasting status and of occurrence of another major disease. The same signature was also found to be associated with pre-diabetic subjects. Glyoxylate levels further showed a specifically strong increase in a subgroup of diabetic subjects. It could represent a new marker for the detection of medical subgroups of diabetic subjects. © 2014 Padberg et al.

Giesbertz P.,TU Munich | Giesbertz P.,ZIEL Institute for Food & Health | Padberg I.,Metanomics Health GmbH and metanomics GmbH | Rein D.,Metanomics Health GmbH and metanomics GmbH | And 8 more authors.
Diabetologia | Year: 2015

Aims/hypothesis: Metabolomics approaches in humans have identified around 40 plasma metabolites associated with insulin resistance (IR) and type 2 diabetes, which often coincide with those for obesity. We aimed to separate diabetes-associated from obesity-associated metabolite alterations in plasma and study the impact of metabolically important tissues on plasma metabolite concentrations. Methods: Two obese mouse models were studied; one exclusively with obesity (ob/ob) and another with type 2 diabetes (db/db). Both models have impaired leptin signalling as a cause for obesity, but the different genetic backgrounds determine the susceptibility to diabetes. In these mice, we profiled plasma, liver, skeletal muscle and adipose tissue via semi-quantitative GC-MS and quantitative liquid chromatography (LC)-MS/MS for a wide range of metabolites. Results: Metabolite profiling identified 24 metabolites specifically associated with diabetes but not with obesity. Among these are known markers such as 1,5-anhydro-d-sorbitol, 3-hydroxybutyrate and the recently reported marker glyoxylate. New metabolites in the diabetic model were lysine, O-phosphotyrosine and branched-chain fatty acids. We also identified 33 metabolites that were similarly altered in both models, represented by branched-chain amino acids (BCAA) as well as glycine, serine, trans-4-hydroxyproline, and various lipid species and derivatives. Correlation analyses showed stronger associations for plasma amino acids with adipose tissue metabolites in db/db mice compared with ob/ob mice, suggesting a prominent contribution of adipose tissue to changes in plasma in a diabetic state. Conclusions/interpretation: By studying mice with metabolite signatures that resemble obesity and diabetes in humans, we have found new metabolite entities for validation in appropriate human cohorts and revealed their possible tissue of origin. © 2015, Springer-Verlag Berlin Heidelberg.

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