Direct identification of bacteria causing urinary tract infections by combining matrix-assisted laser desorption ionization-time of flight mass spectrometry with UF-1000i urine flow cytometry
Direct identification of bacteria causing urinary tract infections by combining matrix-assisted laser desorption ionization-time of flight mass spectrometry with UF-1000i urine flow cytometry
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DOI：
10.1016/j.mimet.2012.12.016
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发表时间：
2013-03-01
影响因子：
2.2
通讯作者：
Lu, X. -X.
中科院分区：
文献类型：
--
作者：
Wang, X. -H.;Zhang, G.;Lu, X. -X.
从临床标本中快速鉴定细菌病原体对于建立适当的经验性抗生素治疗尿路感染（UTIs）至关重要。我们使用基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）结合UF-1000 i尿液流式细胞术对尿液标本进行快速准确的鉴定。我们将每份尿样分成三等份，分别用于常规鉴定、UF-1000 i和MALDI-TOF MS。我们将常规方法与MALDI-TOF MS结合UF-1000 i的结果进行了比较，并通过16 S rRNA基因测序解决了差异。我们分析了1456例UTI症状患者的尿液样本，932例（64.0%）使用三种检测方法均为阴性。该组合方法使用UF-1000 i消除阴性样本，然后使用MALDI-TOF MS鉴定剩余的阳性样本。联合法与常规法一致1373例（94.3%），正确1381例（94.8%）。因此，本文所述的组合方法可以直接为绝大多数尿液样本提供快速、准确、明确的细菌鉴定，尽管对于混合细菌感染，MALDI-TOF MS软件分析能力有待提高。(C)2012爱思唯尔有限公司版权所有。
Rapid identification of bacterial pathogens from clinical specimens is essential to establish an adequate empirical antibiotic therapy to treat urinary tract infections (UTIs). We used matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) combined with UF-1000i urine flow cytometry of urine specimens to quickly and accurately identify bacteria causing UTIs. We divided each urine sample into three aliquots for conventional identification, UF-1000i, and MALDI-TOF MS, respectively. We compared the results of the conventional method with those of MALDI-TOF MS combined with UF-1000i, and discrepancies were resolved by 16S rRNA gene sequencing. We analyzed 1456 urine samples from patients with UTI symptoms, and 932 (64.0%) were negative using each of the three testing methods. The combined method used UF-1000i to eliminate negative specimens and then MALDI-TOF MS to identify the remaining positive samples. The combined method was consistent with the conventional method in 1373 of 1456 cases (94.3%), and gave the correct result in 1381 of 1456 cases (94.8%). Therefore, the combined method described here can directly provide a rapid, accurate, definitive bacterial identification for the vast majority of urine samples, though the MALDI-TOF MS software analysis capabilities should be improved, with regard to mixed bacterial infection. (C) 2012 Elsevier B.V. All rights reserved.