RT Journal Article
T1 Multicentre study on the reproducibility of MALDI-TOF MS for nontuberculous mycobacteria identification.
A1 Rodriguez-Temporal, David
A1 Alcaide, Fernando
A1 Mareković, Ivana
A1 O'Connor, James Anthony
A1 Gorton, Rebecca
A1 van Ingen, Jakko
A1 Van den Bossche, An
A1 Héry-Arnaud, Genevieve
A1 Beauruelle, Clémence
A1 Orth-Höller, Dorothea
A1 Palacios-Gutiérrez, Juan-José
A1 Tudó, Griselda
A1 Bou, Germán
A1 Ceyssens, Pieter-Jan
A1 Garrigó, Montserrat
A1 González-Martin, Julià
A1 Greub, Gilbert
A1 Hrabak, Jaroslav
A1 Ingebretsen, André
A1 Mediavilla-Gradolph, Maria Concepción
A1 Oviaño, Marina
A1 Palop, Begoña
A1 Pranada, Arthur B
A1 Quiroga, Lidia
A1 Ruiz-Serrano, Maria Jesús
A1 Rodríguez-Sánchez, Belén
AB 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.
YR 2022
FD 2022-01-24
LK http://hdl.handle.net/10668/19582
UL http://hdl.handle.net/10668/19582
LA en
DS RISalud
RD Apr 17, 2025