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Multicentre study on the reproducibility of MALDI-TOF MS for nontuberculous mycobacteria identification

Authors :
David Rodriguez-Temporal
Fernando Alcaide
Ivana Mareković
James Anthony O’Connor
Rebecca Gorton
Jakko van Ingen
An Van den Bossche
Genevieve Héry-Arnaud
Clémence Beauruelle
Dorothea Orth-Höller
Juan-José Palacios-Gutiérrez
Griselda Tudó
Germán Bou
Pieter-Jan Ceyssens
Montserrat Garrigó
Julià González-Martin
Gilbert Greub
Jaroslav Hrabak
André Ingebretsen
Maria Concepción Mediavilla-Gradolph
Marina Oviaño
Begoña Palop
Arthur B. Pranada
Lidia Quiroga
Maria Jesús Ruiz-Serrano
Belén Rodríguez-Sánchez
Source :
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract The ability of MALDI-TOF for the identification of nontuberculous mycobacteria (NTM) has improved recently thanks to updated databases and optimized protein extraction procedures. Few multicentre studies on the reproducibility of MALDI-TOF have been performed so far, none on mycobacteria. The aim of this study was to evaluate the reproducibility of MALDI-TOF for the identification of NTM in 15 laboratories in 9 European countries. A total of 98 NTM clinical isolates were grown on Löwenstein-Jensen. Biomass was collected in tubes with water and ethanol, anonymized and sent out to the 15 participating laboratories. Isolates were identified using MALDI Biotyper (Bruker Daltonics). Up to 1330 MALDI-TOF identifications were collected in the study. A score ≥ 1.6 was obtained for 100% of isolates in 5 laboratories (68.2–98.6% in the other). Species-level identification provided by MALDI-TOF was 100% correct in 8 centres and 100% correct to complex-level in 12 laboratories. In most cases, the misidentifications obtained were associated with closely related species. The variability observed for a few isolates could be due to variations in the protein extraction procedure or to MALDI-TOF system status in each centre. In conclusion, MALDI-TOF showed to be a highly reproducible method and suitable for its implementation for NTM identification.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.3226c144daf43889cafa92fabdeb125
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-022-05315-7