González-Domínguez Raúl, González-Domínguez Álvaro, Sayago Ana, Fernández-Recamales Ángeles
AgriFood Laboratory, Faculty of Experimental Sciences, University of Huelva, 21007 Huelva, Spain.
International Campus of Excellence CeiA3, University of Huelva, 21007 Huelva, Spain.
Metabolites. 2020 Jun 3;10(6):229. doi: 10.3390/metabo10060229.
Metabolomics can be significantly influenced by a range of pre-analytical factors, such as sample collection, pre-processing, aliquoting, transport, storage and thawing. This therefore shows the crucial need for standardizing the pre-analytical phase with the aim of minimizing the inter-sample variability driven by these technical issues, as well as for maintaining the metabolic integrity of biological samples to ensure that metabolomic profiles are a direct expression of the in vivo biochemical status. This review article provides an updated literature revision of the most important factors related to sample handling and pre-processing that may affect metabolomics results, particularly focusing on the most commonly investigated biofluids in metabolomics, namely blood plasma/serum and urine. Finally, we also provide some general recommendations and best practices aimed to standardize and accurately report all these pre-analytical aspects in metabolomics research.
代谢组学可能会受到一系列分析前因素的显著影响,如样本采集、预处理、分装、运输、储存和解冻。因此,这表明迫切需要规范分析前阶段,以尽量减少这些技术问题导致的样本间变异性,并维持生物样本的代谢完整性,确保代谢组学图谱是体内生化状态的直接表达。本文综述提供了与样本处理和预处理相关的最重要因素的最新文献修订,这些因素可能会影响代谢组学结果,特别关注代谢组学中最常研究的生物流体,即血浆/血清和尿液。最后,我们还提供了一些一般性建议和最佳实践,旨在规范并准确报告代谢组学研究中所有这些分析前方面的内容。