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

Author:

Rodriguez-Temporal David,Alcaide Fernando,Mareković Ivana,O’Connor James Anthony,Gorton Rebecca,van Ingen Jakko,Van den Bossche An,Héry-Arnaud Genevieve,Beauruelle Clémence,Orth-Höller Dorothea,Palacios-Gutiérrez Juan-José,Tudó Griselda,Bou Germán,Ceyssens Pieter-Jan,Garrigó Montserrat,González-Martin Julià,Greub Gilbert,Hrabak Jaroslav,Ingebretsen André,Mediavilla-Gradolph Maria Concepción,Oviaño Marina,Palop Begoña,Pranada Arthur B.,Quiroga Lidia,Ruiz-Serrano Maria Jesús,Rodríguez-Sánchez Belén

Abstract

AbstractThe 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.

Funder

Intramural Program of the Gregorio Marañón Health Research Institute

Health Research Fund

ESCMID Grant 2018

Instituto de Salud Carlos III

Miguel Servet contract

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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