Use of matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) to detect carbapenem-resistant Enterobacteriaceae.
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Abstract
Antimicrobial drug resistance is increasing worldwide at a frightening rate and is found
among different species of bacteria causing nosocomial and community-acquired
infections. Carbapenem-resistant Enterobacteriaceae (CRE’s) are one of the multi-drug
resistant bacteria increasingly reported in the past decade, leaving the health care system
unable to control the spread of antibiotic-resistant infections. A rapid and efficient
method to identify drug resistant bacteria could advance the containment of this scourge.
We thus investigated the use of MALDI-TOF MS technology, recognized as an accurate
method for microorganism identification, as a potential tool for the detection of CRE
based on the protein profiling for specific fingerprints.
From 24 hours sub-cultured bacterial isolates known to carry and/or express single genes
of a variety of carbapenemases, proteins were extracted using the formic acid ethanol
extraction method and subjected to MS-based identification by MALDI-TOF MS
Biotyper technology. The mass spectrometry spectra were then analyzed employing the
programmed software flexAnalysis version 3.4 build 70 and ClinProTools version 2.2
build 83 to detect carbapenemases. The spectra were subjected to visual inspection for
specific peaks characterization.
Despite their close relationship, the method was able to differentiate between CRE and
susceptible bacteria. The differences within carbapenemases were better distinguishable
by visual observation of specific biomarker peaks and the modified main spectrum (MSP)
method demonstrated that these differences could be more obvious by focusing on
matchless low intensity peaks.
Although the differentiation of CRE remains a challenge using MALDI Biotyper MS
based on the protein profiling, according to our data and pending further investigation in
clinical isolates of CRE, MALDI-TOF MS has potential as a diagnostic tool for the rapid
detection of these multi-drug resistant bacteria.
Description
M. Med. Sc. University of KwaZulu-Natal, Durban 2014.
Keywords
Enterobacteriaceae., Anti-infective agents., Microorganisms--Detection., Drug resistance in microorganisms., Theses--Pharmacy and pharmacology.