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一种使用高分辨率质谱法进行尿液中比较代谢组学的方法。

A method for comparative metabolomics in urine using high resolution mass spectrometry.

作者信息

Ramakrishnan Padma, Nair Sreenath, Rangiah Kannan

机构信息

Metabolomics Facility, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, GKVK, Bellary Road, Bangalore 560065, India.

Metabolomics Facility, Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, GKVK, Bellary Road, Bangalore 560065, India.

出版信息

J Chromatogr A. 2016 Apr 22;1443:83-92. doi: 10.1016/j.chroma.2016.02.080. Epub 2016 Mar 3.

DOI:10.1016/j.chroma.2016.02.080
PMID:27012786
Abstract

Developing a workflow for metabolite profiling from biological fluids using mass spectrometry is imperative to extract accurate information. In this study, urine samples from smokers (n=10) and nonsmokers (n=10) were analyzed using an ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) system. For the analysis, two different chromatographic methods [Reversed phase chromatography (RPC) and Hydrophilic interaction liquid chromatography (HILIC)], in two ionization modes (positive and negative) were used. Spiked reserpine (positive ion mode) or taurocholate (negative ion mode) were used for data extraction and normalization. Quality controls (QCs), prepared by pooling urine samples from both smokers and non-smokers (each n=10), were used to assess the reproducibility of the method. The final data output from SIEVE 2.2 after applying a cut-off for QC coefficient of variation (CV) <20% and p-value <0.05 showed 165, 83, 177 and 100 unique components in RP positive/negative, HILIC positive/negative modes, respectively. Statistical analysis showed clustering of the two groups and the QCs, while the variable importance in projection (VIP) scores for the top fifteen metabolites in each of the four modes indicated the metabolites most responsible for the differences. Application of the developed workflow for comparative metabolomic analysis of urine in different diseased models will be of great use in the field of clinical metabolomics.

摘要

开发一种使用质谱法从生物体液中进行代谢物谱分析的工作流程对于提取准确信息至关重要。在本研究中,使用超高效液相色谱 - 高分辨率质谱(UHPLC - HRMS)系统分析了吸烟者(n = 10)和非吸烟者(n = 10)的尿液样本。对于分析,使用了两种不同的色谱方法[反相色谱(RPC)和亲水相互作用液相色谱(HILIC)],并采用了两种电离模式(正离子和负离子)。加入利血平(正离子模式)或牛磺胆酸盐(负离子模式)用于数据提取和归一化。通过合并吸烟者和非吸烟者的尿液样本(各n = 10)制备的质量控制(QC)样本用于评估该方法的重现性。在对QC变异系数(CV)<20%和p值<0.05应用截止值后,SIEVE 2.2的最终数据输出显示,在RP正/负离子、HILIC正/负离子模式下分别有165、83、177和100种独特成分。统计分析显示两组和QC样本聚类,而四种模式中每种模式下前十五种代谢物的投影变量重要性(VIP)得分表明了对差异最有责任的代谢物。所开发的工作流程在不同疾病模型中对尿液进行比较代谢组学分析的应用将在临床代谢组学领域有很大用途。

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