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Untargeted metabolomics profiles delineate metabolic alterations in mouse plasma during lung carcinoma development using UPLC-QTOF/MS in MSE mode

机译:使用UPLC-QTOF / MS以MSE模式进行的非靶向代谢组学图谱描述了肺癌发展过程中小鼠血浆中的代谢变化

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摘要

In this work, an untargeted metabolomic method based on ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) in MSE (E represents collision energy) mode was exploited to determine the dynamic metabolic alterations in the plasma of male C57BL/6 mice during the onset and development of lung carcinoma. Plasma samples were collected from control and model mice (male C57BL/6 mice experimentally inoculated with the Lewis lung carcinoma cells) at 7 and 14 days post-inoculation (DPI). As a result, 15 dysregulated metabolites, including cholesterol sulphate, tiglylcarnitine, 1-palmitoylglycerophosphoinositol, 2-stearoylglycerophosphoinositol, stearoylcarnitine, PC(20:2(11Z,14Z)/16:0), PC(22:4(7Z,10Z,13Z,16Z)/14:0), PC(22:5(7Z,10Z,13Z,16Z,19Z)/14:0), PC(22:6(4Z,7Z,10Z,13Z,16Z,19Z)/16:0), 12,20-Dioxo-leukotriene B4, sphingosine 1-phosphate(d19:1-P), sphingomyelin(d18:0/16:1(9Z)), lysoPC(16:0), lysoPC(18:0) and lysoPC(20:4(5Z,8Z,11Z,14Z)), were identified in the plasma of model mice with xenografts at both 7 and 14 DPI. All the altered metabolites associated with the onset and development of lung carcinoma were involved in the metabolism of glycerophospholipid, fatty acid, sphingolipid and arachidonic acid. The feasible utility of these endogenous biomarkers as potential diagnostic indicators was validated through receiver operating characteristic curve analysis. Collectively, these findings provide a systematic view of metabolic changes linked to the onset and development of lung carcinoma.
机译:在这项工作中,基于MS E (E代表碰撞能量)模式的超高效液相色谱-四极杆飞行时间质谱(UPLC-QTOF / MS)的无目标代谢组学方法利用该蛋白来确定雄性C57BL / 6小鼠在肺癌发作和发展过程中的动态代谢变化。在接种后7和14天(DPI)从对照和模型小鼠(实验上用Lewis肺癌细胞接种的雄性C57BL / 6小鼠)收集血浆样品。结果是15种代谢失调的代谢物,包括硫酸胆固醇,三氟肉碱,1-棕榈酰甘油磷酸肌醇,2-硬脂酰甘油磷酸肌醇,硬脂酰肉碱,PC(20:2(11Z,14Z)/ 16:0),PC(22:4(7Z,10Z, 13Z,16Z)/ 14:0),PC(22:5(7Z,10Z,13Z,16Z,19Z)/ 14:0),PC(22:6(4Z,7Z,10Z,13Z,16Z,19Z) / 16:0),12,20-二氧杂白三烯B4、1-磷酸鞘氨醇(d19:1-P),鞘磷脂(d18:0/16:1(9Z)),lysoPC(16:0),lysoPC(在具有7和14 DPI异种移植的模型小鼠血浆中鉴定出18:0)和lysoPC(20:4(5Z,8Z,11Z,14Z))。与肺癌的发生和发展有关的所有改变的代谢物都与甘油磷脂,脂肪酸,鞘脂和花生四烯酸的代谢有关。这些内源性生物标志物作为潜在的诊断指标的可行性实用程序通过接收器工作特性曲线分析得到了验证。总的来说,这些发现提供了与肺癌的发生和发展有关的代谢变化的系统视图。

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