Article ; Online: Identifying Anaerobic Bacteria Using MALDI-TOF Mass Spectrometry: A Four-Year Experience.
Frontiers in cellular and infection microbiology
2021 Volume 11, Page(s) 521014
Abstract: Because of the special culture requirements of anaerobic bacteria, their low growth-rate and the difficulties to isolate them, MALDI-TOF MS has become a reliable identification tool for these microorganisms due to the little amount of bacteria required ... ...
| Abstract | Because of the special culture requirements of anaerobic bacteria, their low growth-rate and the difficulties to isolate them, MALDI-TOF MS has become a reliable identification tool for these microorganisms due to the little amount of bacteria required and the accuracy of MALDI-TOF MS identifications. In this study, the performance of MALDI-TOF MS for the identification of anaerobic isolates during a 4-year period is described. Biomass from colonies grown on Brucella agar was directly smeared onto the MALDI-TOF target plate and submitted to on-plate protein extraction with 1μl of 100% formic acid. Sequencing analysis of the 16S rRNA gene was used as a reference method for the identification of isolates unreliably or not identified by MALDI-TOF MS. Overall, 95.7% of the isolates were identified to the species level using the updated V6 database vs 93.8% with previous databases lacking some anaerobic species; 68.5% of the total were reliably identified with high-confidence score values (≥2.0) and 95.0% with low-confidence values (score value ≥1.7). Besides, no differences between Gram-positive and Gram-negative isolates were detected beyond a slight decrease of correct species assignment for gram positive cocci (94.1% vs 95.7% globally). MALDI-TOF MS has demonstrated its usefulness for the identification of anaerobes, with high correlation with phenotypic and conventional methods. Over the study period, only 2.1% of the isolates could not be reliably identified and required molecular methods for a final identification. Therefore, MALDI-TOF MS provided reliable identification of anaerobic isolates, allowing clinicians to streamline the most appropriate antibiotic therapy and manage patients accordingly. |
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| MeSH term(s) | Bacteria ; Bacteria, Anaerobic/genetics ; Humans ; RNA, Ribosomal, 16S/genetics ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization |
| Chemical Substances | RNA, Ribosomal, 16S |
| Language | English |
| Publishing date | 2021-04-22 |
| Publishing country | Switzerland |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2619676-1 |
| ISSN | 2235-2988 ; 2235-2988 |
| ISSN (online) | 2235-2988 |
| ISSN | 2235-2988 |
| DOI | 10.3389/fcimb.2021.521014 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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