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超高效液相色谱-质谱联用技术对生物流体进行代谢谱分析的质量控制方案

Protocol for quality control in metabolic profiling of biological fluids by U(H)PLC-MS.

作者信息

Gika Helen G, Zisi Chrysostomi, Theodoridis Georgios, Wilson Ian D

机构信息

School of Chemical Engineering, Aristotle University, Thessaloniki 54124, Greece.

Department of Chemistry, Aristotle University of Thessaloniki, 54124 Greece.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2016 Jan 1;1008:15-25. doi: 10.1016/j.jchromb.2015.10.045. Epub 2015 Nov 10.

Abstract

The process of untargeted metabolic profiling/phenotyping of complex biological matrices, i.e., biological fluids such as blood plasma/serum, saliva, bile, and tissue extracts, provides the analyst with a wide range of challenges. Not the least of these challenges is demonstrating that the acquired data are of "good" quality and provide the basis for more detailed multivariate, and other, statistical analysis necessary to detect, and identify, potential biomarkers that might provide insight into the process under study. Here straightforward and pragmatic "quality control (QC)" procedures are described that allow investigators to monitor the analytical processes employed for global, untargeted, metabolic profiling. The use of this methodology is illustrated with an example from the analysis of human urine where an excel spreadsheet of the preprocessed LC-MS output is provided with embedded macros, calculations and visualization plots that can be used to explore the data. Whilst the use of these procedures is exemplified on human urine samples, this protocol is generally applicable to metabonomic/metabolomic profiling of biofluids, tissue and cell extracts from many sources.

摘要

对复杂生物基质(即诸如血浆/血清、唾液、胆汁等生物流体以及组织提取物)进行非靶向代谢谱分析/表型分析的过程给分析人员带来了诸多挑战。这些挑战中最主要的一点是要证明所获取的数据具有“良好”质量,并为进行更详细的多变量及其他统计分析提供基础,而这些分析对于检测和识别可能有助于深入了解所研究过程的潜在生物标志物而言是必不可少的。本文描述了简单实用的“质量控制(QC)”程序,这些程序可使研究人员监测用于全局、非靶向代谢谱分析的分析过程。通过一个来自人类尿液分析的示例说明了该方法的应用,其中提供了预处理后的液相色谱 - 质谱输出的Excel电子表格,该表格带有嵌入式宏、计算和可视化图表,可用于探索数据。虽然这些程序的使用以人类尿液样本为例进行了说明,但该方案通常适用于来自多种来源的生物流体、组织和细胞提取物的代谢组学/代谢物组学分析。

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