Lipidomic differentiation between human kidney tumors and surrounding normal tissues using HILIC-HPLC/ESI-MS and multivariate data analysis
Lipidomic differentiation between human kidney tumors and surrounding normal tissues using HILIC-HPLC/ESI-MS and multivariate data analysis
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DOI：
10.1016/j.jchromb.2015.07.011
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发表时间：
2015-09-01
影响因子：
3
通讯作者：
Student, Vladimir
中科院分区：
文献类型：
--
作者：
Cifkova, Eva;Holcapek, Michal;Student, Vladimir
通过亲水相互作用液相色谱 (HILIC) 与电喷雾电离质谱 (ESI-MS) 联用，对 20 名肾癌患者的肿瘤和周围正常组织中极性脂质类别之间的差异进行了表征。使用负离子和正离子模式下特征离子的相对丰度对已识别的脂质类别进行详细分析，用于测定含有不同链长和双键数的连接脂肪酰基的 120 多种单独的脂质种类。使用相对丰度描述脂质种类，从而更好地可视化肿瘤和正常组织之间的脂质组差异。使用无监督主成分分析 (PCA) 和监督正交偏最小二乘法 (OPLS) 的多变量数据分析方法用于表征已识别脂质种类的统计显着差异。 OPLS 评分图中十种最显着的上调和下调脂质也通过箱线图显示。与正常组织相比，在肿瘤中检测到含有四个或更多双键的脂质的相对丰度显着增加。 (C) 2015 Elsevier B.V. 保留所有权利。
The characterization of differences among polar lipid classes in tumors and surrounding normal tissues of 20 kidney cancer patients is performed by hydrophilic interaction liquid chromatography (HILIC) coupled to electrospray ionization mass spectrometry (ESI-MS). The detailed analysis of identified lipid classes using relative abundances of characteristic ions in negative- and positive-ion modes is used for the determination of more than 120 individual lipid species containing attached fatty acyls of different chain length and double bond number. Lipid species are described using relative abundances, providing a better visualization of lipidomic differences between tumor and normal tissues. The multivariate data analysis methods using unsupervised principal component analysis (PCA) and supervised orthogonal partial least square (OPLS) are used for the characterization of statistically significant differences in identified lipid species. Ten most significant up- and down-regulated lipids in OPLS score plots are also displayed by box plots. A notable increase of relative abundances of lipids containing four and more double bonds is detected in tumor compared to normal tissues. (C) 2015 Elsevier B.V. All rights reserved.