Wang Jiangshan, Reijmers Theo, Chen Lijuan, Van Der Heijden Rob, Wang Mei, Peng Shuangqing, Hankemeier Thomas, Xu Guowang, Van Der Greef Jan
Metabolomics. 2009 Dec;5(4):407-418. doi: 10.1007/s11306-009-0165-3. Epub 2009 May 21.
A metabolomics-based systems toxicology approach was used to profile the urinary metabolites for the toxicity related processes and pathogenesis induced by doxorubicin (DOX) to rats. Endogenous metabolite profiles were obtained with ultra performance liquid chromatography-mass spectrometry (UPLC-MS) for rats receiving different single dosages of DOX (5, 10 or 20 mg/kg) prior and at three time points after dosage. Principal components analysis (PCA) allowed detection of two major systemic metabolic changes with the time due to the induced toxicity. Furthermore, Analysis of variance (ANOVA) Simultaneous Component Analysis (ASCA) was applied to reveal the variation caused by time and dose, and their interaction in a multivariate way. Finally, various metabolites involved in the toxic processes could be identified using their accurate mass and MS(n) experiments, and possible mechanisms of the toxicity of DOX were postulated. In conclusion, metabolomics as a systems toxicology approach was able to provide comprehensive information on the dynamic process of drug induced toxicity. In addition, detection of the systemic toxic effects could be obtained with metabolomics at an earlier stage compared to the clinical chemistry and histopathological assessment.
采用基于代谢组学的系统毒理学方法,对阿霉素(DOX)诱导大鼠产生的毒性相关过程和发病机制的尿液代谢物进行分析。利用超高效液相色谱-质谱联用仪(UPLC-MS)获取接受不同单剂量DOX(5、10或20mg/kg)的大鼠给药前及给药后三个时间点的内源性代谢物谱。主成分分析(PCA)能够检测出由于诱导毒性随时间变化而产生的两个主要全身代谢变化。此外,运用方差分析(ANOVA)同步成分分析(ASCA)以多变量方式揭示时间和剂量引起的变化及其相互作用。最后,通过精确质量数和二级质谱(MS(n))实验鉴定参与毒性过程的各种代谢物,并推测DOX毒性的可能机制。总之,代谢组学作为一种系统毒理学方法能够提供关于药物诱导毒性动态过程的全面信息。此外,与临床化学和组织病理学评估相比,代谢组学能够在更早阶段检测到全身毒性作用。