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.