Thachil Amy, Wang Li, Mandal Rupasri, Wishart David, Blydt-Hansen Tom
Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Metabolites. 2024 Aug 28;14(9):474. doi: 10.3390/metabo14090474.
Discrepant sample processing remains a significant challenge within blood metabolomics research, introducing non-biological variation into the measured metabolome and biasing downstream results. Inconsistency during the pre-analytical phase can influence experimental processes, producing metabolome measurements that are non-representative of in vivo composition. To minimize variation, there is a need to create and adhere to standardized pre-analytical protocols for blood samples intended for use in metabolomics analyses. This will allow for reliable and reproducible findings within blood metabolomics research. In this review article, we provide an overview of the existing literature pertaining to pre-analytical factors that influence blood metabolite measurements. Pre-analytical factors including blood tube selection, pre- and post-processing time and temperature conditions, centrifugation conditions, freeze-thaw cycles, and long-term storage conditions are specifically discussed, with recommendations provided for best practices at each stage.
在血液代谢组学研究中，样本处理的差异仍然是一个重大挑战，会将非生物学变异引入所测量的代谢组，并使下游结果产生偏差。分析前阶段的不一致性会影响实验过程，导致所测得的代谢组不能代表体内成分。为了尽量减少变异，需要制定并遵守用于代谢组学分析的血液样本标准化分析前方案。这将使血液代谢组学研究能够得出可靠且可重复的结果。在这篇综述文章中，我们概述了有关影响血液代谢物测量的分析前因素的现有文献。具体讨论了包括血样管选择、处理前后的时间和温度条件、离心条件、冻融循环以及长期储存条件等分析前因素，并针对每个阶段的最佳实践提供了建议。
