RT Journal Article
T1 Rapid and Reproducible MALDI-TOF-Based Method for the Detection of Vancomycin-Resistant Enterococcus faecium Using Classifying Algorithms
A1 Candela, Ana
A1 Arroyo, Manuel J.
A1 Sánchez Molleda, Ángela
A1 Méndez, Gema
A1 Quiroga, Lidia
A1 Ruiz, Adrián
A1 Cercenado Mansilla, Emilia
A1 Maron Arriaza, Mercedes
A1 Muñoz, Patricia
A1 Mancera, Luis
A1 Rodríguez Temporal, David
A1 Rodríguez Sánchez, Belén
AB Vancomycin-resistant Enterococcus faecium represents a health threat due to its ability to spread and cause outbreaks. MALDI-TOF MS has demonstrated its usefulness for E. faecium identification, but its implementation for antimicrobial resistance detection is still under evaluation. This study assesses the repeatability of MALDI-TOF MS for peak analysis and its performance in the discrimination of vancomycin-susceptible (VSE) from vancomycin-resistant isolates (VRE). The study was carried out on protein spectra from 178 E. faecium unique clinical isolates—92 VSE, 31 VanA VRE, 55 VanB VRE-, processed with Clover MS Data Analysis software. Technical and biological repeatability were assayed. Unsupervised (principal component analysis, (PCA)) and supervised algorithms (support vector machine (SVM), random forest (RF) and partial least squares–discriminant analysis (PLS-DA)) were applied. The repeatability assay was performed with 18 peaks common to VSE and VRE with intensities above 1.0% of the maximum peak intensity. It showed lower variability for normalized data and for the peaks within the 3000–9000 m/z range. It was found that 80.9%, 79.2% and 77.5% VSE vs. VRE discrimination was achieved by applying SVM, RF and PLS-DA, respectively. Correct internal differentiation of VanA from VanB VRE isolates was obtained by SVM in 86.6% cases. The implementation of MALDI-TOF MS and peak analysis could represent a rapid and effective tool for VRE screening. However, further improvements are needed to increase the accuracy of this approach.
PB MPDI
SN 2075-4418
YR 2022
FD 2022-01-27
LK https://hdl.handle.net/20.500.14352/71624
UL https://hdl.handle.net/20.500.14352/71624
LA eng
NO Candela A, Arroyo MJ, Sánchez-Molleda Á, Méndez G, Quiroga L, Ruiz A, et al. Rapid and Reproducible MALDI-TOF-Based Method for the Detection of Vancomycin-Resistant Enterococcus faecium Using Classifying Algorithms. Diagnostics 2022;12:328. https://doi.org/10.3390/diagnostics12020328.
NO Instituto de Salud Carlos III/Fondo Europeo de Desarrollo Regional
DS Docta Complutense
RD 5 abr 2025