alexa Integrative 1H-NMR-based Metabolomic Profiling to Ident
ISSN: 2153-0769

Metabolomics:Open Access
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Research Article

Integrative 1H-NMR-based Metabolomic Profiling to Identify Type-2 Diabetes Biomarkers: An Application to a Population of Qatar

Ullah E1, Shahzad M3, Rawi R1, Dehbi M2, Suhre K4, Selim M5, Mook D4 and Bensmail H1*

1Computational Sciences and Engineering, Qatar Computing Research Institute, Education City, Qatar Foundation, Doha, Qatar

2Qatar Biomedical Research Institute, Education City, Qatar Foundation, Doha, Qatar

3Information Systems Department, University of Carnegie Mellon, US

4Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar

5Dermatology Department, Hamad Medical Corporation, Doha, Qatar

*Corresponding Author:
Bensmail H
Computational Sciences and Engineering
Qatar Computing Research
Institute, Education City
Qatar Foundation, Doha, Qatar
Tel: 974-4454-0195
E-mail: [email protected]

Received date: December 30, 2014; Accepted date: January 14, 2015; Published date: January 16, 2015

Citation: Ullah E, Shahzad M, Rawi R, Dehbi M, Suhre K, et al. (2015) Integrative 1H-NMR-based Metabolomic Profiling to Identify Type-2 Diabetes Biomarkers: An Application to a Population of Qatar. Metabolomics 5:136. doi:10.4172/2153-0769.1000136

Copyright: © 2015 Ullah E, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Diabetes is a leading health problem in the developed world. The recent surge of wealth in Qatar has made it one of the most vulnerable nations to diabetes and related diseases. Recent technological advances in 1H Nuclear Magnetic Resonance (NMR) spectroscopy techniques for metabolomics profiling offer a great opportunity for biomarkers discovery. Using this technology, we present in this study, an integrative approach to discover new metabolites and possibly new biomarkers. We performed an integrative analysis of 1H NMR spectras measured in urine, from 348 participants of the Qatar Metabolomics Study on Diabetes (QM- Diab). Our analyses revealed several metabolites that correlate with diabetes and identified specific metabolites affected by anti- diabetes medication, which constraints differentiation between diabetic and control patients.

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