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利用毛细管电泳对小鼠尿液中曼氏血吸虫感染进行代谢指纹分析。

Metabolic fingerprinting of Schistosoma mansoni infection in mice urine with capillary electrophoresis.

作者信息

García-Pérez Isabel, Whitfield Philip, Bartlett Ann, Angulo Santiago, Legido-Quigley Cristina, Hanna-Brown Melissa, Barbas Coral

机构信息

Facultad de Farmacia, Universidad San Pablo-CEU, Campus Montepríncipe, Boadilla del Monte, Madrid, Spain.

出版信息

Electrophoresis. 2008 Aug;29(15):3201-6. doi: 10.1002/elps.200800031.

DOI:10.1002/elps.200800031
PMID:18633941
Abstract

Schistosoma mansoni infection in mice has been fingerprinted using CE to study the capabilities of this technique as a diagnostic tool for this parasitic disease. Two modes of separation were used in generating the electrophoretic data, with each untreated urine sample the following methods were applied: (i) a fused-silica capillary, operating with an applied potential of 18 kV, in micellar EKC (MEKC) and (ii) a polyacrylamide-coated capillary, operating with an applied potential of -20 kV under zonal CZE conditions. By combining normal and reverse polarities in the data treatment we have extracted more information from the samples, which is a better approach for CE metabolomics. The traditional problems associated with variability in electrophoretic peak migration times for analytes were countered by using a dynamic programming algorithm for the electropherograms alignment. Principal component analyses of these aligned electropherograms and partial least square discriminant analysis (PLS-DA) data are shown to provide a valuable means of rapid and sample classification. This approach may become an important tool for the identification of biomarkers, diagnosis and disease surveillance.

摘要

利用毛细管电泳(CE)对感染曼氏血吸虫的小鼠进行了指纹图谱分析,以研究该技术作为这种寄生虫病诊断工具的能力。在生成电泳数据时使用了两种分离模式,对每个未处理的尿液样本应用了以下方法:(i)在胶束电动色谱(MEKC)中使用内径为18 kV的熔融石英毛细管,(ii)在区带电泳(CZE)条件下使用内径为-20 kV的聚丙烯酰胺涂层毛细管。通过在数据处理中结合正负极性,我们从样本中提取了更多信息,这是毛细管电泳代谢组学的一种更好方法。通过使用动态编程算法对电泳图进行比对,解决了与分析物电泳峰迁移时间变异性相关的传统问题。这些比对后的电泳图的主成分分析和偏最小二乘判别分析(PLS-DA)数据显示,可提供一种快速和样本分类的有价值方法。这种方法可能成为识别生物标志物、诊断和疾病监测的重要工具。

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