The key points in the pre-analytical procedures of blood and urine samples in metabolomics studies

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 op...

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Published inMetabolomics Vol. 16; no. 6; p. 68
Main Authors Bi, Hai, Guo, Zhengyang, Jia, Xiao, Liu, Huiying, Ma, Lulin, Xue, Lixiang
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2020
Springer Nature B.V
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ISSN1573-3882
1573-3890
1573-3890
DOI10.1007/s11306-020-01666-2

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Summary: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.
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ISSN:1573-3882
1573-3890
1573-3890
DOI:10.1007/s11306-020-01666-2