Searchable abstracts of presentations at key conferences in endocrinology
Endocrine Abstracts (2014) 35 P776 | DOI: 10.1530/endoabs.35.P776

ECE2014 Poster Presentations Obesity (53 abstracts)

Application of LC–MS and CE–MS based metabolomics to study type 2 diabetes development in lean, overweight and obese humans

Michal Ciborowski 1 , Adam Kretowski 1, , Edyta Adamska 1 , Anna Citko 1 , Magdalena Waszczeniuk 2 , Juliusz Wilk 2 , Anna Golonko 2 , Justyna Pliszka 2 , Danuta Lipinska 2 , Joanna Goscik 2 , Magdalena Rusak 3 , Joanna Godzien 3 , Coral Barbas 3 & Maria Gorska 2


1Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland; 2Clinical Department of Endocrinology, Diabetology and Internal Diseases, Medical University of Bialystok, Bialystok, Poland; 3Pharmacy Faculty, Center for Metabolomics and Bioanalysis (CEMBIO), San Pablo CEU University, Madrid, Spain.


The risk of type 2 diabetes mellitus (T2DM) development is related to BMI, therefore this disease mainly occurs among overweight (OW) and obese (OB) people. However lean (L) individuals may also suffer from T2DM. The evolution of T2DM is a multistep process and starts with insulin resistance (IR), which may evolve into pre-diabetic state i.e.: impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT). In up to 70% of patients pre-diabetic state evolves into T2DM. In the present study metabolic fingerprinting methodology was used to find metabolites changing with the T2DM evolution. Metabolic differences between healthy, IR and pre-diabetic individuals were evaluated in different BMI groups (L, OW or OB). Study was performed on serum samples obtained from 53 L, 59 OW and 55 OB individuals. Age (mean 50 years) and sex (60% female) were matched between the groups. Samples were analyzed by the two platforms commonly used in metabolomics studies (LC–MS and CE–MS). Health status (control, IR or pre-diabetic) was defined based on fasting glucose level, HOMA-IR, and 2 h 75 g OGTT. Statistical analysis was used to find differences between controls, IR and pre-diabetics in each BMI group. Significant metabolites were identified by analysis of the commercially available standards or MS/MS fragmentation. Branched-chain amino acids were changing with the T2DM evolution independently on BMI. Acylcarnitines discriminated controls from pre-diabetes in each BMI group, however a percentage of change positively correlated with BMI. On the other hand fatty acid amides, cortisol, and sphingosine-1-phoshate were increased in pre-diabetes belonging to L group. The changes in the level of lysophospholipids between healthy and pre-diabetic individuals were higher in L and OW, than in OB. Metabolites changing with T2DM evolution are dependent on BMI.

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