The AMR-ARRAY: A modular bead array detecting β-lactam, (fluoro) quinolone, colistin, aminoglycoside and macrolide resistance determinants in Gram-negative bacteria.
AMR
Antimicrobial resistance
Array
Luminex
Multiplexing
Screening method
Journal
Journal of microbiological methods
ISSN: 1872-8359
Titre abrégé: J Microbiol Methods
Pays: Netherlands
ID NLM: 8306883
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
received:
24
12
2021
revised:
15
04
2022
accepted:
18
04
2022
pubmed:
25
4
2022
medline:
18
5
2022
entrez:
24
4
2022
Statut:
ppublish
Résumé
The aim of this study was to develop a highly multiplexed bead array to detect genes and/or mutations frequently associated with resistance to antimicrobials of the β-lactam, (fluoro)quinolone, colistin, macrolide and aminoglycoside families in Enterobacteriaceae such as Escherichia coli, Shigella spp. and Salmonella spp. Ligase Chain Reaction and the Luminex® technology were combined in a 53-plex assay designed to target selected genetic markers with 3 internal controls. The AMR-ARRAY consistently detected resistance determinants as compared to phenotypically expressed resistance for 94.7% (856/904) of the assessed resistances. When compared to resistance profiles inferred from whole genome sequencing results, the AMR-ARRAY showed a selectivity and specificity of 99.3% and 100%, respectively. The strong features of the AMR-ARRAY are (i) its competitive cost, currently 18€/sample (ii) its wide analytical scope, currently 50 markers covering 5 antimicrobial families, (iii) its robust and user-friendly design consisting in a single-tube assay conducted in 4 successive steps (iv) its relatively short turnaround time, less than 8 h (v) its ability to detect allelic variability at critical SNPs (vi) its open access and easily upgradable design, with probes sequences, procedure and software source code freely available. The use of the AMR-ARRAY as a screening method in official antimicrobial resistance monitoring could improve the granularity of the collected data and pinpoint remarkable isolates harbouring unusual resistance determinants thereby enabling fit-for-purpose selection of isolates for Whole Genome analysis.
Identifiants
pubmed: 35461920
pii: S0167-7012(22)00067-7
doi: 10.1016/j.mimet.2022.106472
pii:
doi:
Substances chimiques
Aminoglycosides
0
Anti-Bacterial Agents
0
Macrolides
0
Quinolones
0
beta-Lactams
0
Colistin
Z67X93HJG1
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
106472Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.