By a News Reporter-Staff News Editor at Computer Weekly News -- Investigators discuss new findings in Diabetes. According to news originating from Beijing, People's Republic of China, by VerticalNews correspondents, research stated, "An analytical method for quantifying underivatized amino acids (AAs) in urine samples of rats was developed by using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Classification of type 2 diabetes rats was based on urine amino acids metabolic profiling."
Our news journalists obtained a quote from the research from the Chinese Academy of Sciences, "LC-MS/MS analysis was applied through chromatographic separation and multiple reactions monitoring (MRM) transitions of MS/MS. Multivariate profile-wide predictive models were constructed using partial least squares discriminant analysis (PLS-DA) by SIMAC-P 11.5 version software package and hierarchical cluster analysis (HCA) by SPSS 18.0 version software. Some amino acids in urine of rats have significant change. The results of the present study prove that this method could perform the quantification of free AAs in urine of rats by using LC-MS/MS. In summary, the PLS-DA and HCA statistical analysis in our research were preferable to differentiate healthy rats and type 2 diabetes rats by the quantification of AAs in their urine samples."
According to the news editors, the research concluded: "In addition, comparing with health group the seven increased amino acids in urine of type 2 rats were returned to normal under the treatment of acarbose."
For more information on this research see: Classification of type 2 diabetes rats based on urine amino acids metabolic profiling by liquid chromatography coupled with tandem mass spectrometry. Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences, 2013;935():26-31. Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands.
The news correspondents report that additional information may be obtained from C.Y. Wang, Univ Chinese Academy Sci, Beijing 100039, People's Republic of China. Additional authors for this research include H.B. Zhu, Z.F. Pi, F.R. Song, Z.Q. Liu and S.Y. Liu.
Keywords for this news article include: Asia, Beijing, Peptides, Proteins, Software, Amino Acids, Type 2 Diabetes Mellitus, People's Republic of China, Non-Insulin Dependent Diabetes Mellitus
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