期刊
CHROMATOGRAPHIA
卷 69, 期 9-10, 页码 941-948出版社
SPRINGER HEIDELBERG
DOI: 10.1365/s10337-009-1040-0
关键词
Gas chromatography-mass spectrometry; Principal component analysis; Partial least squares-discriminant analysis; Metabolic profiling; Type 2 diabetes mellitus
Gas chromatography-mass spectrometry based metabolic profiling was used to characterize metabolic profiles in type 2 diabetes mellitus. We found distinct differences between type 2 diabetic patients and healthy controls, type 2 diabetic patients before and after treatment of the plasma metabolic profiles. Furthermore, levels of lactate, alpha-hydroxyisobutyric acid, phosphate, 1-monopalmitin and 1-monostearin were closely correlated with the disease state and may be considered as potential biomarkers for type 2 diabetes mellitus. The results demonstrated that plasma GC-MS metabolic profiling combined with multi- and uni-variate statistical analysis techniques provided an efficient way of depicting metabolic perturbations of diseases, and it may also be able to assist disease and treatment surveillance.
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