دورية أكاديمية
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.
العنوان: | 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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المؤلفون: | Wang XH; The Clinical Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, People's Republic of China., Zhang G, Fan YY, Yang X, Sui WJ, Lu XX |
المصدر: | Journal of microbiological methods [J Microbiol Methods] 2013 Mar; Vol. 92 (3), pp. 231-5. Date of Electronic Publication: 2013 Jan 07. |
نوع المنشور: | Evaluation Study; Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Elsevier Biomedical Country of Publication: Netherlands NLM ID: 8306883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8359 (Electronic) Linking ISSN: 01677012 NLM ISO Abbreviation: J Microbiol Methods Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Amsterdam, The Netherlands : Elsevier Biomedical, c1983- |
مواضيع طبية MeSH: | Urine*/microbiology, Bacteria/*classification , Bacteria/*isolation & purification , Bacteriological Techniques/*methods , Flow Cytometry/*methods , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/*methods , Urinary Tract Infections/*diagnosis, Bacteria/chemistry ; Bacteria/cytology ; Humans ; Sensitivity and Specificity ; Urinary Tract Infections/microbiology |
مستخلص: | 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. (Copyright © 2012 Elsevier B.V. All rights reserved.) |
تواريخ الأحداث: | Date Created: 20130112 Date Completed: 20130822 Latest Revision: 20191210 |
رمز التحديث: | 20221213 |
DOI: | 10.1016/j.mimet.2012.12.016 |
PMID: | 23305925 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1872-8359 |
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DOI: | 10.1016/j.mimet.2012.12.016 |