Anionic metabolic profiling of urine from antibiotic-treated rats by capillary electrophoresis–mass spectrometry

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作者
Miranda G. M. Kok
Marco M. A. Ruijken
Jonathan R. Swann
Ian D. Wilson
Govert W. Somsen
Gerhardus J. de Jong
机构
[1] Utrecht University,Biomolecular Analysis, Department of Pharmaceutical Sciences
[2] Avans Hogeschool,Research group Analysis Techniques in Life Science
[3] University of Reading,Department of Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy
[4] AstraZeneca,Department of Drug Metabolism and Pharmacokinetics IM
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关键词
Capillary electrophoresis; Mass spectrometry; Anionic metabolic profiling; Rat urine; Gut microbial depletion;
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摘要
A recently developed capillary electrophoresis (CE)-negative-ionisation mass spectrometry (MS) method was used to profile anionic metabolites in a microbial-host co-metabolism study. Urine samples from rats receiving antibiotics (penicillin G and streptomycin sulfate) for 0, 4, or 8 days were analysed. A quality control sample was measured repeatedly to monitor the performance of the applied CE-MS method. After peak alignment, relative standard deviations (RSDs) for migration time of five representative compounds were below 0.4 %, whereas RSDs for peak area were 7.9–13.5 %. Using univariate and principal component analysis of obtained urinary metabolic profiles, groups of rats receiving different antibiotic treatment could be distinguished based on 17 discriminatory compounds, of which 15 were downregulated and 2 were upregulated upon treatment. Eleven compounds remained down- or upregulated after discontinuation of the antibiotics administration, whereas a recovery effect was observed for others. Based on accurate mass, nine compounds were putatively identified; these included the microbial-mammalian co-metabolites hippuric acid and indoxyl sulfate. Some discriminatory compounds were also observed by other analytical techniques, but CE-MS uniquely revealed ten metabolites modulated by antibiotic exposure, including aconitic acid and an oxocholic acid. This clearly demonstrates the added value of CE-MS for nontargeted profiling of small anionic metabolites in biological samples.
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页码:2585 / 2594
页数:9
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