Cross-platform urine metabolomics of experimental hyperglycemia in type 2 diabetes

Temmerman, Liesbet, De Livera, Alysha M., Bowne, Jairus, Sheedy, John R., Callahan, Damien L., Nahid, Amsha, De Souza, David P., Schoofs, Liliane, Tull, Dedreia L., McConville, Malcolm J., Roessner, Ute and Wentworth, John M. 2012, Cross-platform urine metabolomics of experimental hyperglycemia in type 2 diabetes, Journal of diabetes & metabolism, no. S6, pp. 1-7, doi: 10.4172/2155-6156.S6-002.

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Title Cross-platform urine metabolomics of experimental hyperglycemia in type 2 diabetes
Author(s) Temmerman, Liesbet
De Livera, Alysha M.
Bowne, Jairus
Sheedy, John R.
Callahan, Damien L.ORCID iD for Callahan, Damien L. orcid.org/0000-0002-6384-8717
Nahid, Amsha
De Souza, David P.
Schoofs, Liliane
Tull, Dedreia L.
McConville, Malcolm J.
Roessner, Ute
Wentworth, John M.
Journal name Journal of diabetes & metabolism
Issue number S6
Start page 1
End page 7
Total pages 7
Publisher OMICS Publishing Group
Place of publication Los Angeles, Calif.
Publication date 2012
ISSN 2155-6156
Keyword(s) Metabolomics
Urine
Hyperglycemia
Hyperglycaemia
Diabetes
NMR
GC
LC
MS
Biomarker
Summary Hyperglycemia causes diabetic nephropathy, a condition for which there are no specific diagnostic markers thatpredict progression to renal failure. Here we describe a multiplatform metabolomic analysis of urine from individualswith type 2 diabetes, collected before and immediately following experimental hyperglycemia. We used targetednuclear magnetic resonance spectroscopy (NMR), liquid chromatography - mass spectrometry (LC-MS) and gaschromatography - MS (GC-MS) to identify markers of hyperglycemia. Following optimization of data normalisation andstatistical analysis, we identified a reproducible NMR and LC-MS based urine signature of hyperglycemia. Significantincreases of alanine, alloisoleucine, isoleucine, leucine, N-isovaleroylglycine, valine, choline, lactate and taurine anddecreases of arginine, gamma-aminobutyric acid, hippurate, suberate and N-acetylglutamate were observed. GC-MSanalysis identified a number of metabolites differentially present in post-glucose versus baseline urine, but these could not be identified using current metabolite libraries. This analysis is an important first step towards identifying biomarkers of early-stage diabetic nephropathy.
Language eng
DOI 10.4172/2155-6156.S6-002
Field of Research 030105 Instrumental Methods (excl Immunological and Bioassay Methods)
110199 Medical Biochemistry and Metabolomics not elsewhere classified
Socio Economic Objective 920104 Diabetes
ERA Research output type C Journal article
Copyright notice ©2012, OMICS Publishing Group
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083267

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