Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5136243 | Journal of Chromatography B | 2017 | 12 Pages |
Abstract
Pyrexia usually is a systemic pathological process that can lead to metabolic disorders. Metabonomics as a powerful tool not only can reveal the pathological mechanisms, but also can give insight into the progression of pyrexia from another angle. Thus, an ultra high performance liquid chromatography combined with Fourier transform ion cyclotron resonance mass spectrometry (UHPLC-FT-ICR-MS) metabonomic approach was employed for the first time to investigate the plasma biochemical characteristics of pyrexia induced by three methods and to reveal subtle metabolic changes under the condition of pyrexia so as to explore its mechanism. The acquired metabolic data of the models were subjected to principal component analysis (PCA) for allowing the clear separation of the pyrexia rats from the control rats. Variable importance for project values (VIP) and Student's t-test were used to screen the significant metabolic changes caused by pyrexia. Fifty-two endogenous metabolites were identified and putatively identified as potential biomarkers primarily associated with phospholipid metabolism, sphingolipid metabolism, fatty acid oxidation metabolism, fatty acid amides metabolism and amino acid metabolism, and related to bile acid biosynthesis and glycerolipid catabolism. LysoPC (14:0), LysoPC (18:3), LysoPC (20:4), LysoPC (16:0), phytosphingosine, Cer (d18:0/12:0), N-[(4E,8E)-1,3-dihydroxyoctadeca-4,8-dien-2-yl]hexadecanamide, oleamide, fatty acid amide C22:1, tryptophan, acetylcarnitine, palmitoylcarnitine and stearoylcarnitine were considered as common potential biomarkers of pyrexia rats induced by three methods: Our results revealed that the UHPLC-FT-ICR-MS-based metabolomic method is helpful for finding new potential metabolic markers for pyrexia detection and offers a good perspective in pyrexia research.
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Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Ting Liu, Songhe Li, Xiumin Tian, Zhaoqin Li, Yue Cui, Fei Han, Yunli Zhao, Zhiguo Yu,