학술논문
Comparison of two MALDI-TOF MS systems for the identification of clinically relevant anaerobic bacteria in Argentina.
Document Type
Academic Journal
Author
Litterio M; Hospital de Pediatría Prof. Dr. Juan P. Garrahan, Buenos Aires, Argentina.; Castello L; Universidad de Buenos Aires, Instituto de Investigaciones Médicas Alfredo Lanari, Departamento de Microbiología, Buenos Aires, Argentina.; Venuta ME; Hospital de Pediatría Prof. Dr. Juan P. Garrahan, Buenos Aires, Argentina.; Abel S; Hospital de Pediatría Prof. Dr. Juan P. Garrahan, Buenos Aires, Argentina.; Fernández-Canigia L; Hospital Alemán, Buenos Aires, Argentina.; Legaria MC; Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Buenos Aires, Argentina.; Rollet R; Hospital de Enfermedades Infecciosas Dr. Francisco Javier Muñiz, Buenos Aires, Argentina.; Vaustat D; Hospital de Enfermedades Infecciosas Dr. Francisco Javier Muñiz, Buenos Aires, Argentina.; Azula N; Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno (CEMIC), Buenos Aires, Argentina.; Fox B; Hospital Alemán, Buenos Aires, Argentina.; Otero S; Hospital de Pediatría Prof. Dr. Juan P. Garrahan, Buenos Aires, Argentina.; Maldonado ML; Hospital de Pediatría Prof. Dr. Juan P. Garrahan, Buenos Aires, Argentina.; Mangieri NA; Universidad de Buenos Aires, Instituto de Investigaciones Médicas Alfredo Lanari, Departamento de Microbiología, Buenos Aires, Argentina.; Rossetti MA; Hospital Interzonal de Agudos Presidente Perón, Avellaneda, Provincia de Buenos Aires, Argentina.; Predari SC; Universidad de Buenos Aires, Instituto de Investigaciones Médicas Alfredo Lanari, Departamento de Microbiología, Buenos Aires, Argentina.; Cejas D; Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM), Buenos Aires, Argentina; CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas), Buenos Aires, Argentina.; Barberis C; Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Departamento de Bioquímica Clínica, Cátedra de Microbiología Clínica, Buenos Aires, Argentina. Electronic address: claudiabar07@gmail.com.
Source
Publisher: Asociación Argentina de Microbiología Country of Publication: Argentina NLM ID: 8002834 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 0325-7541 (Print) Linking ISSN: 03257541 NLM ISO Abbreviation: Rev Argent Microbiol Subsets: MEDLINE
Subject
Language
English
ISSN
0325-7541
Abstract
The aim of this study was to compare the performance of two MALDI-TOF MS systems in the identification of clinically relevant strict anaerobic bacteria. The 16S rRNA gene sequencing was the gold standard method when discrepancies or inconsistencies were observed between platforms. A total of 333 isolates were recovered from clinical samples of different centers in Buenos Aires City between 2016 and 2021. The isolates were identified in duplicate using two MALDI-TOF MS systems, BD Bruker Biotyper (Bruker Daltonics, Bremen, Germany) and Vitek MS (bioMèrieux, Marcy-l'Etoile, France). Using the Vitek MS system, the identification of anaerobic isolates yielded the following percentages: 65.5% (n: 218) at the species or species-complex level, 71.2% (n: 237) at the genus level, 29.4% (n: 98) with no identification and 5.1% (n: 17) with misidentification. Using the Bruker Biotyper system, the identification rates were as follows: 85.3% (n: 284) at the species or species-complex level, 89.7% (n: 299) at the genus level, 14.1% (n: 47) with no identification and 0.6% (n: 2) with misidentification. Differences in the performance of both methods were statistically significant (p-values <0.0001). In conclusion, MALDI-TOF MS systems speed up microbial identification and are particularly effective for slow-growing microorganisms, such as anaerobic bacteria, which are difficult to identify by traditional methods. In this study, the Bruker system showed greater accuracy than the Vitek system. In order to be truly effective, it is essential to update the databases of both systems by increasing the number of each main spectrum profile within the platforms.
(Copyright © 2024 Asociación Argentina de Microbiología. Publicado por Elsevier España, S.L.U. All rights reserved.)
(Copyright © 2024 Asociación Argentina de Microbiología. Publicado por Elsevier España, S.L.U. All rights reserved.)