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目的运用代谢组学方法,研究大鼠偏头痛的发病机制。方法采用改进的Christina tassorelli方法建立大鼠偏头痛模型(模型组)并设正常对照组。取大鼠血样,通过超高效液相色谱仪结合高分辨率质谱仪联用(UPLCQ-TOF/MS)对模型组与正常对照组血浆进行代谢谱检测。通过Micromass Markerlynx软件对采样数据进行归一化处理。统计学分析使用SIMCA-P+软件偏最小二乘法进行模式识别。结果 UPLC-Q-TOF代谢色谱图显示,与正常对照组相比,模型组的UPLC图出峰量明显增多,而且两组图谱之间有一定程度的关联性。散点分布图显示,正常对照组和模型组血样标本均具有明显的聚类作用,且有趋势显著的分类运动。模型组与正常对照组的荷载图并结合MS-MS的串联质谱结果显示,5-羟吲哚乙酸、3,4-二羟苯乙二醇、磷脂酰胆碱为潜在的生物标志物。结论本研究建立了基于大鼠血样的UPLC-Q-TOF/MS代谢组学研究方法,初步阐释了偏头痛发病的生物标志物及代谢组学机制。
Objective To study the pathogenesis of migraine in rats by means of metabonomics. Methods A modified Christina tassorelli method was used to establish the model of migraine in rats (model group) and the normal control group. Blood samples were taken from rats and the plasma metabolites of model group and normal control group were detected by UPLC-TOF / MS with ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry. Sampling data is normalized with Micromass Markerlynx software. Statistical Analysis Pattern recognition was performed using SIMCA-P + software partial least squares. Results The UPLC-Q-TOF metabolomic chromatogram showed that the UPLC peaks of the model group increased significantly compared with those of the normal control group, and there was a certain degree of correlation between the two groups. The scatter plot shows that the blood samples of the normal control group and the model group all have obvious clustering effect, and there is a trend of significant classification exercise. The load profiles of the model group and the normal control group combined with MS-MS tandem mass spectrometry showed that 5-oxoacetic acid, 3,4-dihydroxyphenylglycol and phosphatidylcholine were potential biomarkers. Conclusion In this study, a UPLC-Q-TOF / MS metabolomics study was established based on rat blood samples. The biomarkers and metabonomics mechanisms of migraine were preliminarily illustrated.