ABSTRACT
Aim: To evaluate the mouse model of hypertriglyceridemia (hTG) induced by schisandrin B (Sch B) using lipid metabolomics technology. Methods: Male ICR mice weighing 23 ~ 27 g were randomly divided into four groups: (1) mice fed with normal diet (ND group) (2) mice fed with ND and treated with Sch B(ND +Sch B group); (3) mice fed with high fat/fructose diet(HFFD group; fat, 10%; fructose, 10%; w/w), and (4) mice fed with HFFD and treated with Sch B (HFFD + Sch B group). Based on our previous research, Sch B at a single dose of 2 g · kg-1 was orally administered to the animals in the current study. Forty-eight hours later, serum samples were obtained from the orbital vein. Serum triglyceride (TG) and total cholesterol (TC) were analyzed by biochemical method. The metabolic fingerprint spectrum of serum in all groups were obtained and analyzed using ultra-performance liquid chromatography quadrupole-time-of-flight mass spectrometry (UPLC-Q/TOF-MS) method. The differences of metabolic spectra in every two groups were compared via the multivariate statistical methods. Results: Compared with ND group, three kinds (27 markers) of differential metabolites were identified in ND +Sch B group, including 18 TG, 7 phosphatidylcholine (PC), and 2 phosphatidylethano-lamine(PE). Compared with ND group, five kinds(27 markers) of differential metabolites were screened in HFFD group, including 6 sphingomyelin (SM), 13 PC, 2 cholesteryl ester(CE), 5 TG and 1 phosphati-dylinositol (PI). Compared with HFFD group, four kinds (25 markers) of differential metabolites were found in HFFD + Sch B group, involving 14 TG, 1 CE, 6 PC and 4 PE. Conclusion: These findings suggest that the animal model of hypertriglyceridemia established by Sch B involves the alteration of serum lipid metabolomics.
ABSTRACT
To explore the differences in lipid metabolites in serum of hyperuricemic rats induced by fructose and normal rats by using lipid metabolomics technology, and screen the potential biomarkers related to hyperuricemia. The metabolic fingerprint spectrum of the serum in hyperuricemic rats(model group) and normal rats(control group) was obtained and analyzed by using ultra performance convergence chromatography-tandem-Q-time of flight mass spectrometry(UPC ² -Q/TOF-MS) method and the differences of metabolic spectra between two groups were compared via the multivariate statistical methods to screen differential metabolites. The results indicated that there was significant difference in metabolic spectra between model group and control group, and 11 differential metabolites were screened. Then eight potential biomarkers such as arachidonic acid, palmitic acid, oleic acid and linoleic acid were tentatively identified by using the exact mass number and secondary mass spectrometry(MS/MS spectrum). Therefore, a new research method for lipid metabolomics in serum of hyperuricemic rats induced by fructose was established successfully based on UPC ² -Q/TOF-MS. What's more, it was speculated that the abnormal metabolism of fatty acid might be associated with the pathogenesis of hyperuricemia, which would provide scientific basis for early detection and prevention of hyperuricemia.