Southam Andrew D, Lange Anke, Al-Salhi Raghad, Hill Elizabeth M, Tyler Charles R, Viant Mark R
School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK.
Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QD UK.
Metabolomics. 2014;10(6):1050-1058. doi: 10.1007/s11306-014-0693-3. Epub 2014 Jul 15.
Environmental metabolomics is increasingly used to investigate organismal responses to complex chemical mixtures, including waste water effluent (WWE). In parallel, increasingly sensitive analytical methods are being used in metabolomics studies, particularly mass spectrometry. This introduces a considerable, yet overlooked, challenge that high analytical sensitivity will not only improve the detection of endogenous metabolites in biological specimens but also exogenous chemicals. If these often unknown xenobiotic features are not removed from the "biological" dataset, they will bias the interpretation and could lead to incorrect conclusions about the biotic response. Here we illustrate and validate a novel workflow classifying the origin of peaks detected in biological samples as: endogenous, xenobiotics, or metabolised xenobiotics. The workflow is demonstrated using direct infusion mass spectrometry-based metabolomic analysis of testes from roach exposed to different concentrations of a complex WWE. We show that xenobiotics and their metabolic products can be detected in roach testes (including triclosan, chloroxylenol and chlorophene), and that these compounds have a disproportionately high level of statistical significance within the total (bio)chemical changes induced by the WWE. Overall we have demonstrated that this workflow extracts more information from an environmental metabolomics study of complex mixture exposures than was possible previously.
环境代谢组学越来越多地用于研究生物体对复杂化学混合物的反应,包括废水排放物(WWE)。与此同时,代谢组学研究中使用的分析方法越来越灵敏,尤其是质谱法。这带来了一个相当大但被忽视的挑战,即高分析灵敏度不仅会提高生物样本中内源性代谢物的检测能力,还会提高外源性化学物质的检测能力。如果这些通常未知的外源性特征不从“生物”数据集中去除,它们将使解释产生偏差,并可能导致关于生物反应的错误结论。在这里,我们阐述并验证了一种新颖的工作流程,该流程将生物样本中检测到的峰的来源分类为:内源性、外源性或代谢后的外源性。使用基于直接进样质谱的代谢组学分析方法,对暴露于不同浓度复杂WWE的蟑螂睾丸进行分析,展示了该工作流程。我们发现,在蟑螂睾丸中可以检测到外源性物质及其代谢产物(包括三氯生、对氯间二甲苯酚和氯酚),并且这些化合物在WWE诱导的总(生物)化学变化中具有极高的统计显著性。总体而言,我们证明了该工作流程从复杂混合物暴露的环境代谢组学研究中提取的信息比以前更多。