[1]姚 珂),杜 正),刘 瀛),等.基于超高效液相-质谱联用技术的淋巴瘤患者血浆代谢组学分析*[J].郑州大学学报(医学版),2017,(01):20-24.[doi:10.13705/j.issn.1671-6825.2017.01.006]
 YAO Ke),DU Zheng),LIU Ying),et al.Ultra high performance liquid chromatography-mass spectrometry based plasma metabonomics for patients with lymphoma[J].JOURNAL OF ZHENGZHOU UNIVERSITY(MEDICAL SCIENCES),2017,(01):20-24.[doi:10.13705/j.issn.1671-6825.2017.01.006]
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基于超高效液相-质谱联用技术的淋巴瘤患者血浆代谢组学分析*()
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《郑州大学学报(医学版)》[ISSN:1671-6825/CN:41-1340/R]

卷:
期数:
2017年01期
页码:
20-24
栏目:
论著
出版日期:
2017-01-15

文章信息/Info

Title:
Ultra high performance liquid chromatography-mass spectrometry based plasma metabonomics for patients with lymphoma
作者:
姚 珂1)杜 正2)刘 瀛1)徐少博1)左非非1)魏双艳1)徐晓阳1)徐 霞1)#
1)郑州大学药学院药物分析教研室 郑州 450001;
2)解放军防化学院研究生管理大队 北京 102205
Author(s):
YAO Ke1) DU Zheng2) LIU Ying1) XU Shaobo1) ZUO Feifei1) WEI Shuangyan1) XU Xiaoyang1) XU Xia1)
1)Department of Pharmaceutical Analysis,College of Pharmaceutical Sciences,Zhengzhou University,Zhengzhou 450001;
2)Graduates Administration Brigade,Institute of Chemical Defence of PLA,Beijing 102205
关键词:
超高效液相色谱-质谱联用 代谢组学 淋巴瘤 生物标志物
Keywords:
UPLC-MS metabonomics lymphoma biomarker
分类号:
R917
DOI:
10.13705/j.issn.1671-6825.2017.01.006
摘要:
目的:筛选淋巴瘤患者血浆特异性生物标志物。方法:运用超高效液相色谱-四级杆-静电场轨道阱高分辨质谱联用(UPLC-Q Exactive)技术对12例淋巴瘤患者及12例正常人血浆样品进行代谢组学分析,采用正交偏最小二乘判别分析(OPLS-DA)法对数据进行模式识别,分析两组的代谢差异,并进一步筛选差异代谢物。结果:OPLS-DA模型结果显示,淋巴瘤患者与正常人血浆代谢谱有明显差异,共筛选出8种差异代谢物。与正常人相比,淋巴瘤患者血浆中天冬氨酸、4-吡哆酸含量显著升高(P<0.05),L-α-甘油磷脂酰胆碱、亚油酸、癸酰基肉毒碱、苯丙氨酰苯丙氨酸、牛磺酸及苏糖酸含量显著降低(P<0.05)。结论:应用代谢组学方法筛选到的8种差异代谢物有望成为淋巴瘤的潜在生物标志物。
Abstract:
Aim: To explore the potential biomarkers of lymphoma.Methods: Ultra high performance liquid chromatography-Q Exactive orbit trap high-resolution mass spectrometry was applied to process the plasma samples of 12 lymphoma patients as well as 12 healthy volunteers. Orthogonal to partial least squares discriminant analysis was performed to identify the differences in metabolic profiles between the two groups and further to select potential biomarkers related to lymphoma.Results: A significant distinction in the metabolic profiles between lymphoma patients and healthy volunteers was yielded by multivariate statistical analysis and 8 metabolites were found. Compared with healthy controls, the contents of aspartic acid and 4-pyridoxate were significantly higher in plasma of lymphoma patients(P<0.05), while the contents of L-α-glycerophosphorylcholine,linoleic acid,decanoyl carnitine,phenylalany-lphenylalanine,taurine and threonic acid were obviously lower(P<0.05).Conclusion: The 8 metabolites found via metabonomics might be potential biomarkers associated to lymphoma.

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备注/Memo

备注/Memo:
*河南省基础与前沿技术研究计划项目 142300410085
#通信作者,女,1965年4月生,博士,教授,研究方向:药物分析,E-mail:xuxia@zzu.edu.cn
更新日期/Last Update: 2017-01-20