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MALDI-TOF MS Applications to the Detection of Antifungal Resistance: State of the Art and Future Perspectives

Authors :
Walter Florio
Emilia Ghelardi
Arianna Tavanti
Antonella Lupetti
Source :
Frontiers in Microbiology, Frontiers in Microbiology, Vol 9 (2018)
Publication Year :
2018

Abstract

MALDI-TOF MS technology has made possible revolutionary advances in the diagnosis of infectious diseases. Besides allowing rapid and reliable identification of bacteria and fungi, this technology has been recently applied to the detection of antimicrobial resistance. Several approaches have been proposed and evaluated for application of MALDI-TOF MS to antimicrobial susceptibility testing of bacteria, and some of these have been or might be applied also to yeasts. In this context, the comparison of proteomic profiles of bacteria/yeasts incubated with or without antimicrobial drugs is a very promising method. Another recently proposed MALDI-TOF MS-based approach for antifungal susceptibility testing is the application of the semi-quantitative MALDI Biotyper antibiotic susceptibility test rapid assay, which was originally designed for antimicrobial susceptibility testing of bacteria, to yeast isolates. Increasingly effective and accurate MS tools and instruments as well as the possibility to optimize analytical parameter settings for targeted applications have generated an expanding area in the field of clinical microbiology diagnostics, paving the way for the development and/or optimization of rapid methods for antifungal susceptibility testing in the near future. In the present study, the state of the art of MALDI-TOF MS applications to antifungal susceptibility testing is reviewed, and cutting-edge developments are discussed, with a particular focus on methods allowing rapid detection of drug resistance in pathogenic fungi causing systemic mycoses.

Details

Language :
English
Database :
OpenAIRE
Journal :
Frontiers in Microbiology, Frontiers in Microbiology, Vol 9 (2018)
Accession number :
edsair.doi.dedup.....c0f39113bf0a37b53f7536764a38090c