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Performance evaluation of a new matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, ASTA MicroIDSys system, in bacterial identification against clinical isolates of anaerobic bacteria

Authors
 Dokyun Kim  ;  Seungeun Ji  ;  Jung Rim Kim  ;  Myungsook Kim  ;  Jung-Hyun Byun  ;  Jong Hwa Yum  ;  Dongeun Yong  ;  Kyungwon Lee 
Citation
 ANAEROBE, Vol.61 : 102131, 2020-02 
Journal Title
ANAEROBE
ISSN
 1075-9964 
Issue Date
2020-02
MeSH
Bacteria, Anaerobic / classification* ; Bacteria, Anaerobic / genetics ; Bacterial Infections / diagnosis* ; Bacterial Infections / microbiology* ; Bacterial Typing Techniques* ; Humans ; RNA, Bacterial ; RNA, Ribosomal, 16S ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*
Keywords
MALDI-TOF MS ; Performance ; Bacterial identification ; MicroIDSys
Abstract
Introduction: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been introduced for bacterial identification. The ASTA MicroIDSys system (ASTA, Suwon, Korea) is a new MALDI-TOF MS system developed for species identification of microorganisms. We evaluated the performance of MicroIDSys against clinical isolates of anaerobic bacteria. Material and methods: A total of 370 non-duplicated clinical isolates of anaerobic bacteria were tested in this study. Bacterial identification with MicroIDSys was performed with a direct smear method, and measured spectra were analyzed using respective software. The results of MicroIDSys were compared with the results of Bruker Biotyper and 16S rRNA sequencing. Results: The overall agreement rates for the 370 clinical isolates (34 genera and 99 species) were 95.4% (353/370) at the genus level and 91.6% (n = 340) at the species level. Only 17 isolates were incorrectly identified at the genus level: five misidentifications and 12 unidentifications. The MicroIDSys system exhibited excellent performance in the identification of clinically relevant bacterial species. Most of the Bacteroides isolates (98.0%, 99/101) and all of the Clostridium difficile (100%, n = 11), Clostridium perfringens (100%, n = 10), Finegoldia magna (100%, n = 11), and Parvimonas micra (100%, n = 10) isolates were correctly identified at the species level. Conclusion: The MicroIDSys system proved useful in the identification of anaerobic bacteria, especially clinically relevant species. This system could be of use in clinical microbiology laboratories as a primary tool for identifying anaerobic bacteria. (C) 2019 Elsevier Ltd. All rights reserved.
Full Text
https://www.sciencedirect.com/science/article/pii/S1075996419302033
DOI
10.1016/j.anaerobe.2019.102131
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dokyun(김도균) ORCID logo https://orcid.org/0000-0002-0348-5440
Byun, Jung-Hyun(변정현)
Yong, Dong Eun(용동은) ORCID logo https://orcid.org/0000-0002-1225-8477
Lee, Kyungwon(이경원) ORCID logo https://orcid.org/0000-0003-3788-2134
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/190220
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