Cited 9 times in
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
DC Field | Value | Language |
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dc.contributor.author | 김도균 | - |
dc.contributor.author | 변정현 | - |
dc.contributor.author | 용동은 | - |
dc.contributor.author | 이경원 | - |
dc.date.accessioned | 2022-09-06T06:35:14Z | - |
dc.date.available | 2022-09-06T06:35:14Z | - |
dc.date.issued | 2020-02 | - |
dc.identifier.issn | 1075-9964 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/190220 | - |
dc.description.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. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Academic Press | - |
dc.relation.isPartOf | ANAEROBE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Bacteria, Anaerobic / classification* | - |
dc.subject.MESH | Bacteria, Anaerobic / genetics | - |
dc.subject.MESH | Bacterial Infections / diagnosis* | - |
dc.subject.MESH | Bacterial Infections / microbiology* | - |
dc.subject.MESH | Bacterial Typing Techniques* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | RNA, Bacterial | - |
dc.subject.MESH | RNA, Ribosomal, 16S | - |
dc.subject.MESH | Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods* | - |
dc.title | 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 | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Laboratory Medicine (진단검사의학교실) | - |
dc.contributor.googleauthor | Dokyun Kim | - |
dc.contributor.googleauthor | Seungeun Ji | - |
dc.contributor.googleauthor | Jung Rim Kim | - |
dc.contributor.googleauthor | Myungsook Kim | - |
dc.contributor.googleauthor | Jung-Hyun Byun | - |
dc.contributor.googleauthor | Jong Hwa Yum | - |
dc.contributor.googleauthor | Dongeun Yong | - |
dc.contributor.googleauthor | Kyungwon Lee | - |
dc.identifier.doi | 10.1016/j.anaerobe.2019.102131 | - |
dc.contributor.localId | A04891 | - |
dc.contributor.localId | A05626 | - |
dc.contributor.localId | A02423 | - |
dc.contributor.localId | A02649 | - |
dc.relation.journalcode | J02967 | - |
dc.identifier.eissn | 1095-8274 | - |
dc.identifier.pmid | 31778809 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S1075996419302033 | - |
dc.subject.keyword | MALDI-TOF MS | - |
dc.subject.keyword | Performance | - |
dc.subject.keyword | Bacterial identification | - |
dc.subject.keyword | MicroIDSys | - |
dc.contributor.alternativeName | Kim, Dokyun | - |
dc.contributor.affiliatedAuthor | 김도균 | - |
dc.contributor.affiliatedAuthor | 변정현 | - |
dc.contributor.affiliatedAuthor | 용동은 | - |
dc.contributor.affiliatedAuthor | 이경원 | - |
dc.citation.volume | 61 | - |
dc.citation.startPage | 102131 | - |
dc.identifier.bibliographicCitation | ANAEROBE, Vol.61 : 102131, 2020-02 | - |
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