Viant Mark R, Bearden Daniel W, Bundy Jacob G, Burton Ian W, Collette Timothy W, Ekman Drew R, Ezernieks Vilnis, Karakach Tobias K, Lin Ching Yu, Rochfort Simone, de Ropp Jeffrey S, Teng Quincy, Tjeerdema Ronald S, Walter John A, Wu Huifeng
School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Environ Sci Technol. 2009 Jan 1;43(1):219-25. doi: 10.1021/es802198z.
Several fundamental requirements must be met so that NMR-based metabolomics and the related technique of metabonomics can be formally adopted into environmental monitoring and chemical risk assessment. Here we report an intercomparison exercise which has evaluated the effectiveness of 1H NMR metabolomics to generate comparable data sets from environmentally derived samples. It focuses on laboratory practice that follows sample collection and metabolite extraction, specifically the final stages of sample preparation, NMR data collection (500, 600, and 800 MHz), data processing, and multivariate analysis. Seven laboratories have participated from the U.S.A., Canada, U.K., and Australia, generating a total of ten data sets. Phase 1 comprised the analysis of synthetic metabolite mixtures, while Phase 2 investigated European flounder (Platichthys flesus) liver extracts from clean and contaminated sites. Overall, the comparability of data sets from the participating laboratories was good. Principal components analyses (PCA) of the individual data sets yielded ten highly similar scores plots for the synthetic mixtures, with a comparable result for the liver extracts. Furthermore, the same metabolic biomarkers that discriminated fish from clean and contaminated sites were discovered by all the laboratories. PCA of the combined data sets showed excellent clustering of the multiple analyses. These results demonstrate that NMR-based metabolomics can generate data that are sufficiently comparable between laboratories to support its continued evaluation for regulatory environmental studies.
为了使基于核磁共振的代谢组学以及相关的代谢组学技术能够正式应用于环境监测和化学风险评估,必须满足几个基本要求。在此,我们报告了一项比对实验,该实验评估了氢核磁共振代谢组学从环境衍生样本中生成可比数据集的有效性。它侧重于样本采集和代谢物提取之后的实验室操作,特别是样本制备的最后阶段、核磁共振数据采集(500、600和800兆赫)、数据处理和多变量分析。来自美国、加拿大、英国和澳大利亚的七个实验室参与了该实验,共生成了十个数据集。第一阶段包括对合成代谢物混合物的分析,而第二阶段研究了来自清洁和污染场地的欧洲比目鱼(欧洲鲽)肝脏提取物。总体而言,参与实验室的数据集具有良好的可比性。对各个数据集进行主成分分析(PCA),得到了十个高度相似的合成混合物得分图,肝脏提取物的结果类似。此外,所有实验室都发现了区分来自清洁和污染场地鱼类的相同代谢生物标志物。对合并数据集进行的主成分分析显示多次分析具有出色的聚类效果。这些结果表明,基于核磁共振的代谢组学能够生成实验室之间具有充分可比性的数据,以支持其在监管环境研究中的持续评估。