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ISSN: 2153-0769

Metabolomics:Open Access
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Research Article

1H NMR Metabolomics Study of Spleen from C57BL/6 Mice Exposed to Gamma Radiation

Xiao X1,2, Hu M1, Liu M2 and Hu JZ1*

1Pacific Northwest National Laboratory, Richland, WA 99352, USA

2State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, the Chinese Academy of Sciences, Wuhan, 430071, PR China

*Corresponding Author:
Hu JZ
Pacific Northwest National Laboratory
Richland, WA 99352, USA
Tel: 509-371-6544
Fax: 509-371-6546
E-mail: [email protected] gov

Received Date: January 11, 2016; Accepted Date: January 25, 2016; Published Date: January 27, 2016

Citation: Xiao X, Hu M, Liu M Hu JZ (2016) 1H NMR Metabolomics Study of Spleen from C57BL/6 Mice Exposed to Gamma Radiation. Metabolomics 6:165. doi: 10.4172/2153-0769.1000165

Copyright: © 2016 Xiao X, 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

Due to the potential risk of accidental exposure to gamma radiation, it’s critical to identify the biomarkers of radiation exposed creatures. In the present study, NMR based metabolomics combined with multivariate data analysis to evaluate the metabolites changed in the C57BL/6 mouse spleen after 4 days whole body exposure to 3.0 Gy and 7.8 Gy gamma radiations. Principal component analysis (PCA) and orthogonal projection to latent structures analysis (OPLS) are employed for classification and identification potential biomarkers associated with gamma irradiation. Two different strategies for NMR spectral data reduction (i.e., spectral binning and spectral deconvolution) are combined with normalize to constant sum and unit weight before multivariate data analysis, respectively. The combination of spectral deconvolution and normalization to unit weight is the best way for identifying discriminatory metabolites between the irradiation and control groups. Normalized to the constant sum may achieve some pseudo biomarkers. PCA and OPLS results shown that the exposed groups can be well separated from the control group. Leucine, 2-aminobutyrate, valine, lactate, arginine, glutathione, 2-oxoglutarate, creatine, tyrosine, phenylalanine, π-methylhistidine, taurine, myoinositol, glycerol and uracil are significantly elevated while ADP is decreased significantly. These significantly changed metabolites are associated with multiple metabolic pathways and may be potential biomarkers in the spleen exposed to gamma irradiation.

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