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作 者:王晓艳[1] 李翔 肖翔 陆德生[1] 张仕华[1] 杜彦丹[1] WANG Xiaoyan;LI Xiang;XIAO Xiang;LU Desheng;ZHANG Shihua;DU Yandan(Inner Mongolia Forestry General Hospital/the Second Clinical Medical School,Inner Mongolia Minzu University,Hulunbuir,Inner Mongolia 021000,China)
机构地区:[1]内蒙古林业总医院/内蒙古民族大学第二临床医学院,内蒙古呼伦贝尔021000
出 处:《国际检验医学杂志》2022年第2期167-171,共5页International Journal of Laboratory Medicine
基 金:内蒙古自治区自然科学基金项目(2019MS08174)。
摘 要:目的利用代谢组学技术对森林脑炎致病机制进行可视化分析,寻找与疾病发生发展相关的生物标志物。方法利用高效液相色谱-四级杆飞行时间质谱(UPLC-QTOF-MS)技术,对59例森林脑炎患者与39例健康人群进行对比分析,结合多元统计分析方法进行标志物筛选。结果共筛选得到144种差异代谢物,通过代谢通路富集分析发现,差异代谢物覆盖了多种氨基酸通路,以及多个脂类相关的代谢通路包括脂蛋白生物合成、花生四烯酸生物合成、白三烯生物合成。结论质谱技术联合多元统计方法可用于疾病病程生物标志物的挖掘,为后续疾病的诊断及预后提供了理论基础。Objective To visually analyze the pathogenic mechanism of forest encephalitis using metabolomics technology and to find biomarkers related to the occurrence and development of the disease.Methods High performance Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry(UPLC-QTOF MS)technology was used to compare 59 forest encephalitis patients and 39 healthy persons,and biomarkers were screened out by multivariate statistical analysis.Results A total of 144 different metabolites were screened.Through the enrichment analysis of metabolic pathways,it was found that the differential metabolites covered a variety of amino acid pathways and lipid related metabolic pathways,including lipoprotein biosynthesis,arachidonic acid biosynthesis and leukotriene biosynthesis.Conclusion Mass spectrometry combined with multivariate statistical method could be used to find out biomarkers in disease course,which provides a theoretical basis for further diagnosis and prognosis of diseases.
关 键 词:森林脑炎 代谢组学 液相色谱-四级杆飞行时间质谱技术
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