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
| Autor: | Jung-Hyun Byun, Do Kyun Kim, Myungsook Kim, Jung Rim Kim, Dongeun Yong, Kyungwon Lee, Seungeun Ji, Jong Hwa Yum |
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| Rok vydání: | 2019 |
| Předmět: |
Microorganism
Mass spectrometry medicine.disease_cause Microbiology 03 medical and health sciences Bacteria Anaerobic RNA Ribosomal 16S medicine Humans Parvimonas micra 030304 developmental biology 0303 health sciences biology 030306 microbiology Bacterial Infections Clostridium perfringens biology.organism_classification 16S ribosomal RNA Bacterial Typing Techniques Matrix-assisted laser desorption/ionization RNA Bacterial Infectious Diseases Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Anaerobic bacteria Bacteroides |
| Zdroj: | Anaerobe. 61 |
| ISSN: | 1095-8274 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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