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毛细管电泳-质谱联用分析抗生素处理大鼠尿液中的阴离子代谢物

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

机构信息

Biomolecular Analysis, Department of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.

出版信息

Anal Bioanal Chem. 2013 Mar;405(8):2585-94. doi: 10.1007/s00216-012-6701-4. Epub 2013 Jan 12.

DOI:10.1007/s00216-012-6701-4
PMID:23314487
Abstract

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.

摘要

最近开发的毛细管电泳(CE)-负离子化质谱(MS)方法用于在微生物-宿主共代谢研究中分析阴离子代谢物。分析接受抗生素(青霉素 G 和硫酸链霉素)治疗 0、4 或 8 天的大鼠的尿液样本。通过重复测量质控样品来监测所应用的 CE-MS 方法的性能。在峰对齐后,五个代表性化合物的迁移时间的相对标准偏差(RSD)低于 0.4%,而峰面积的 RSD 为 7.9-13.5%。通过对获得的尿液代谢谱进行单变量和主成分分析,可以根据 17 种有区别的化合物区分接受不同抗生素治疗的大鼠组,其中 15 种被下调,2 种被上调。停止抗生素治疗后,仍有 11 种化合物被下调或上调,而其他化合物则出现恢复效应。基于精确质量,鉴定出 9 种化合物;这些包括微生物-哺乳动物的共代谢物马尿酸和吲哚硫酸。其他分析技术也观察到了一些有区别的化合物,但 CE-MS 独特地揭示了 10 种被抗生素暴露调节的代谢物,包括乌头酸和一种胆酸。这清楚地表明 CE-MS 为生物样品中小阴离子代谢物的非靶向分析增加了价值。

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