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Systems toxicology study of doxorubicin on rats using ultra performance liquid chromatography coupled with mass spectrometry based metabolomics
Authors:Jiangshan Wang  Theo Reijmers  Lijuan Chen  Rob Van Der Heijden  Mei Wang  Shuangqing Peng  Thomas Hankemeier  Guowang Xu  Jan Van Der Greef
Institution:(1) Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 116023 Dalian, People’s Republic of China;(2) Division of Analytical Biosciences, Leiden Amsterdam Center for Drug Research, Leiden University, P.O. Box 9502, 2300 RA Leiden, The Netherlands;(3) TNO, Quality of Life and SU BioMedicine, Utrechtseweg 48, 3700 AJ Zeist, The Netherlands;(4) Research and Evaluation Center for Toxicology, Beijing Institute of Disease Control and Prevention, Academy of Military Medical Sciences, 100071 Beijing, People’s Republic of China;
Abstract: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 MSn 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.
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