Skip to main navigation Skip to search Skip to main content

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

  • D. Rodriguez-Temporal
  • , F. Alcaide
  • , I. Mareković
  • , James O'Connor
  • , R. Gorton
  • , J. van Ingen
  • , A. Van den Bossche
  • , G. Héry-Arnaud
  • , C. Beauruelle
  • , D. Orth-Höller
  • , J.-J. Palacios-Gutiérrez
  • , G. Tudó
  • , G. Bou
  • , P.-J. Ceyssens
  • , M. Garrigó
  • , J. González-Martin
  • , G. Greub
  • , J. Hrabak
  • , A. Ingebretsen
  • , M.C. Mediavilla-Gradolph
  • M. Oviaño, B. Palop, A.B. Pranada, L. Quiroga, M.J. Ruiz-Serrano, B. Rodríguez-Sánchez

Research output: Contribution to journal › Article › peer-review

44 Citations (Scopus)

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.
Original languageEnglish
Article number1237
JournalScientific Reports
DOIs
Publication statusPublished - 24 Jan 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Clinical microbiology
  • Infectious-disease diagnostics

Fingerprint

Dive into the research topics of 'Multicentre study on the reproducibility of MALDI-TOF MS for nontuberculous mycobacteria identification'. Together they form a unique fingerprint.

Cite this