Department of Physical and Environmental Sciences, University of Toronto, 1265 Military Trail Toronto, ON M1C 1A4, Canada.
Environ Pollut. 2011 Dec;159(12):3620-6. doi: 10.1016/j.envpol.2011.08.002.
Nuclear magnetic resonance (NMR)--based metabolomics has the potential to identify toxic responses of contaminants within a mixture in contaminated soil. This study evaluated the metabolic response of Eisenia fetida after exposure to an array of organic compounds to determine whether contaminant-specific responses could be identified. The compounds investigated in contact tests included: two pesticides (carbaryl and chlorpyrifos), three pharmaceuticals (carbamazephine, estrone and caffeine), two persistent organohalogens (Aroclor 1254 and PBDE 209) and two industrial compounds (nonylphenol and dimethyl phthalate). Control and contaminant-exposed metabolic profiles were distinguished using principal component analysis and potential contaminant-specific biomarkers of exposure were found for several contaminants. These results suggest that NMR-based metabolomics offers considerable promise for differentiating between the different toxic modes of action (MOA) associated with sub-lethal toxicity to earthworms.
基于核磁共振（NMR）的代谢组学有可能识别受污染土壤中混合物中污染物的毒性反应。本研究评估了赤子爱胜蚓在接触一系列有机化合物后的代谢反应，以确定是否可以识别出特定于污染物的反应。在接触试验中研究的化合物包括：两种杀虫剂（carbaryl 和 chlorpyrifos）、三种药物（carbamazephine、estrone 和 caffeine）、两种持久性有机卤化物（Aroclor 1254 和 PBDE 209）和两种工业化合物（壬基酚和邻苯二甲酸二甲酯）。使用主成分分析区分了对照和污染物暴露的代谢谱，并发现了几种污染物的潜在污染物特异性暴露生物标志物。这些结果表明，基于 NMR 的代谢组学为区分与蚯蚓亚致死毒性相关的不同毒性作用模式（MOA）提供了很大的希望。
