Literature DB >> 26365166

Rapid first-line discrimination of methicillin resistant Staphylococcus aureus strains using MALDI-TOF MS.

Claus Østergaard1, Sanne G K Hansen2, Jens K Møller2.   

Abstract

Fast and reliable discrimination of methicillin-resistant Staphylococcus aureus (MRSA) isolates is essential in identifying an outbreak. Molecular typing methods, such as S. aureus protein A (spa) typing, multi locus sequence typing (MLST) and pulse field gel electrophoresis (PFGE) are generally used for this purpose. These methods are all relatively time-consuming and not performed routinely in all laboratories. The aim of this study is to examine whether MALDI-TOF MS can be used as a fast, simple and easily implemented method for first-line discrimination of MRSA isolates. Mass spectra from 600 clinical MRSA isolates were included in the study, representing 89 spa types, associated with 16 different known clonal complexes. All spectra were obtained directly from colony material obtained from overnight cultures without prior protein extraction. We identified 43 useful discriminatory m/z-values (peaks) and used a concept of arranging these peaks into pairs or small clusters within a small mass range, allowing for quality control of the spectra obtained. Using this concept we could reproducibly characterise and arrange the isolates into 26 MALDI-TOF groups, which strongly correlated with spa types and clonal complexes. The results of this study clearly show that MALDI-TOF MS can be used for first-line discrimination of MRSA isolates, using a simple and fast method that is easy to implement as part of routine testing.
Copyright © 2015 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  MALDI-TOF MS; MRSA; Outbreak; Staphylococcus aureus; Typing

Mesh:

Year:  2015        PMID: 26365166     DOI: 10.1016/j.ijmm.2015.08.002

Source DB:  PubMed          Journal:  Int J Med Microbiol        ISSN: 1438-4221            Impact factor:   3.473


  11 in total

1.  Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning.

Authors:  Karsten Borgwardt; Adrian Egli; Caroline Weis; Aline Cuénod; Bastian Rieck; Olivier Dubuis; Susanne Graf; Claudia Lang; Michael Oberle; Maximilian Brackmann; Kirstine K Søgaard; Michael Osthoff
Journal:  Nat Med       Date:  2022-01-10       Impact factor: 87.241

2.  The Technical and Biological Reproducibility of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) Based Typing: Employment of Bioinformatics in a Multicenter Study.

Authors:  Michael Oberle; Nadia Wohlwend; Daniel Jonas; Florian P Maurer; Geraldine Jost; Sarah Tschudin-Sutter; Katleen Vranckx; Adrian Egli
Journal:  PLoS One       Date:  2016-10-31       Impact factor: 3.240

3.  Development of a rapid MALDI-TOF MS based epidemiological screening method using MRSA as a model organism.

Authors:  Åsa Lindgren; Nahid Karami; Roger Karlsson; Christina Åhrén; Martin Welker; Edward R B Moore; Liselott Svensson Stadler
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-09-18       Impact factor: 3.267

4.  Use of MALDI-TOF Mass Spectrometry for the Fast Identification of Gram-Positive Fish Pathogens.

Authors:  Gabriella B N Assis; Felipe L Pereira; Alexandra U Zegarra; Guilherme C Tavares; Carlos A Leal; Henrique C P Figueiredo
Journal:  Front Microbiol       Date:  2017-08-09       Impact factor: 5.640

5.  International travel as source of a hospital outbreak with an unusual meticillin-resistant Staphylococcus aureus clonal complex 398, Denmark, 2016.

Authors:  Jens Kjølseth Møller; Anders Rhod Larsen; Claus Østergaard; Camilla Holten Møller; Mette Assenholm Kristensen; Jesper Larsen
Journal:  Euro Surveill       Date:  2019-10

6.  Rapid Discrimination of Methicillin-Resistant Staphylococcus aureus by MALDI-TOF MS.

Authors:  Jung-Min Kim; Inhee Kim; Sung Hee Chung; Yousun Chung; Minje Han; Jae-Seok Kim
Journal:  Pathogens       Date:  2019-11-01

7.  Agrobacterium spp. nosocomial outbreak assessment using rapid MALDI-TOF MS based typing, confirmed by whole genome sequencing.

Authors:  Carlo Casanova; Elia Lo Priore; Adrian Egli; Helena M B Seth-Smith; Lorenz Räber; Daniel Ott; Valentin Pflüger; Sara Droz; Jonas Marschall; Rami Sommerstein
Journal:  Antimicrob Resist Infect Control       Date:  2019-11-04       Impact factor: 4.887

Review 8.  One System for All: Is Mass Spectrometry a Future Alternative for Conventional Antibiotic Susceptibility Testing?

Authors:  Martin Welker; Alex van Belkum
Journal:  Front Microbiol       Date:  2019-11-26       Impact factor: 5.640

Review 9.  Laboratory-Based and Point-of-Care Testing for MSSA/MRSA Detection in the Age of Whole Genome Sequencing.

Authors:  Alex van Belkum; Olivier Rochas
Journal:  Front Microbiol       Date:  2018-06-29       Impact factor: 5.640

10.  Study on Molecular Profiles of Staphylococcus aureus Strains: Spectrometric Approach.

Authors:  Michał Złoch; Paweł Pomastowski; Ewelina Maślak; Fernanda Monedeiro; Bogusław Buszewski
Journal:  Molecules       Date:  2020-10-22       Impact factor: 4.411

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