Background

Metabolomics provides measurement of numerous metabolites in human samples, which can be a useful tool in clinical research. Blood and urine are regarded as preferred subjects of study because of their minimally invasive collection and simple preprocessing methods. Adhering to standard operating procedures is an essential factor in ensuring excellent sample quality and reliable results.

Aim of review

In this review, we summarize the studies about the impacts of various preprocessing factors on metabolomics studies involving clinical blood and urine samples in order to provide guidance for sample collection and preprocessing.

Key scientific concepts of review

Clinical information is important for sample grouping and data analysis which deserves attention before sample collection. Plasma and serum as well as urine samples are appropriate for metabolomics analysis. Collection tubes, hemolysis, delay at room temperature, and freeze–thaw cycles may affect metabolic profiles of blood samples. Collection time, time between sampling and examination, contamination, normalization strategies, and storage conditions may alter analysis results of urine samples. Taking these collection and preprocessing factors into account, this review provides suggestions of standard sample preprocessing.

中文翻译：

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代谢组学研究中血液和尿液样品的分析前程序中的要点。

背景

代谢组学提供了人类样品中多种代谢物的测量方法，这可能是临床研究中的有用工具。血液和尿液因其微创采集和简单的预处理方法而被视为首选研究对象。遵守标准操作程序是确保出色的样品质量和可靠结果的重要因素。

审查目的

在这篇综述中，我们总结了关于各种预处理因素对涉及临床血液和尿液样本的代谢组学研究的影响的研究，以便为样本收集和预处理提供指导。

审查的关键科学概念

临床信息对于样品分组和数据分析很重要，在收集样品之前应引起注意。血浆和血清以及尿液样品适合进行代谢组学分析。采集管，溶血，室温下的延迟以及冻融循环可能会影响血液样本的代谢状况。采集时间，采样和检查之间的时间，污染，归一化策略和存储条件可能会改变尿液样本的分析结果。考虑到这些收集和预处理因素，本综述提供了标准样品预处理的建议。