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基于UPC^2-Q/TOF-MS技术的果糖诱导高尿酸血症大鼠血清脂质代谢组学研究 被引量:21

Lipid metabolomics in serum of hyperuricemic rats induced by fructose based on UPC^2-Q / TOF-MS
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摘要 利用脂质代谢组学技术,研究果糖诱导高尿酸血症大鼠与正常大鼠血清中脂类代谢物的变化,筛选出与高尿酸血症相关的潜在生物标记物。通过超高效合相色谱-四极杆-飞行时间质谱联用(UPC^2-Q/TOF-MS)技术分析高尿酸血症大鼠(模型组)和正常大鼠(对照组)血清代谢谱图,采用多元统计分析方法比较2组的代谢谱差异,筛选出差异性代谢物。结果显示,模型组和对照组的代谢谱图存在明显差异,并筛选出11个差异代谢物,利用精确质量数结合二级质谱图初步确定了花生四烯酸、棕榈酸、油酸、亚油酸等8种潜在生物标记物。该文建立了基于UPC^2-Q/TOF-MS技术进行果糖诱导高尿酸血症大鼠血清脂质代谢组学研究的方法,推测脂肪酸代谢异常可能与高尿酸血症的发病机制有关,为高尿酸血症的早期诊断和预防奠定科学基础。 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.
出处 《中国中药杂志》 CAS CSCD 北大核心 2016年第6期1135-1139,共5页 China Journal of Chinese Materia Medica
关键词 果糖 高尿酸血症 脂质代谢组学 生物标记物 fructose hyperuricemia lipid metabolomics biomarkers
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