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Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method()
We developed a methodology for antimicrobial susceptibility testing (AST) based on the BacterioScan(TM)216R laser scattering technology, using methicillin resistance in Staphylococcus aureus and vancomycin resistance in enterococci as exemplar for important resistance phenotypes. Fifty methicillin-r...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470558/ https://www.ncbi.nlm.nih.gov/pubmed/28659889 http://dx.doi.org/10.3389/fmicb.2017.01064 |
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author | Idelevich, Evgeny A. Hoy, Matthias Görlich, Dennis Knaack, Dennis Grünastel, Barbara Peters, Georg Borowski, Matthias Becker, Karsten |
author_facet | Idelevich, Evgeny A. Hoy, Matthias Görlich, Dennis Knaack, Dennis Grünastel, Barbara Peters, Georg Borowski, Matthias Becker, Karsten |
author_sort | Idelevich, Evgeny A. |
collection | PubMed |
description | We developed a methodology for antimicrobial susceptibility testing (AST) based on the BacterioScan(TM)216R laser scattering technology, using methicillin resistance in Staphylococcus aureus and vancomycin resistance in enterococci as exemplar for important resistance phenotypes. Fifty methicillin-resistant (MRSA) and 50 methicillin-susceptible (MSSA) S. aureus, as well as 50 vancomycin-resistant enterococci (VRE) and 50 vancomycin-susceptible enterococci (VSE) isolates were used for the study. Optimal test conditions were derived by investigating the effects of inoculum size, medium, incubation temperature and broth filtration. We proposed four different statistical approaches for rapid discrimination between resistant and susceptible bacteria. The statistical approach based on raw measurements of bacterial concentrations delivered sensitivity of 100% and specificity of 94% for discrimination between MRSA and MSSA already after 3 hours of incubation. Categorical agreement of ≥90% was achieved after 140 min with this approach. Differentiation between VRE and VSE was possible with 98% sensitivity and 92% specificity after 3 hours, using a sophisticated statistical approach based on concentration slopes derived from the raw concentration measurements. This approach provided categorical agreement of ≥90% after 165 min. The sensitivity and specificity estimates were confirmed by leave-one-out cross validation. In conclusion, the phenotypic AST methods developed in this study are promising for rapid detection of MRSA and VRE. The development and application of this technology would allow early detection of the resistant pathogens, thus facilitating swift change to the targeted antimicrobial treatment as well as timely initiation of appropriate infection control measures. Further studies are warranted to validate this approach for the detection of other resistance phenotypes, including direct testing from clinical specimens. |
format | Online Article Text |
id | pubmed-5470558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54705582017-06-28 Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method() Idelevich, Evgeny A. Hoy, Matthias Görlich, Dennis Knaack, Dennis Grünastel, Barbara Peters, Georg Borowski, Matthias Becker, Karsten Front Microbiol Microbiology We developed a methodology for antimicrobial susceptibility testing (AST) based on the BacterioScan(TM)216R laser scattering technology, using methicillin resistance in Staphylococcus aureus and vancomycin resistance in enterococci as exemplar for important resistance phenotypes. Fifty methicillin-resistant (MRSA) and 50 methicillin-susceptible (MSSA) S. aureus, as well as 50 vancomycin-resistant enterococci (VRE) and 50 vancomycin-susceptible enterococci (VSE) isolates were used for the study. Optimal test conditions were derived by investigating the effects of inoculum size, medium, incubation temperature and broth filtration. We proposed four different statistical approaches for rapid discrimination between resistant and susceptible bacteria. The statistical approach based on raw measurements of bacterial concentrations delivered sensitivity of 100% and specificity of 94% for discrimination between MRSA and MSSA already after 3 hours of incubation. Categorical agreement of ≥90% was achieved after 140 min with this approach. Differentiation between VRE and VSE was possible with 98% sensitivity and 92% specificity after 3 hours, using a sophisticated statistical approach based on concentration slopes derived from the raw concentration measurements. This approach provided categorical agreement of ≥90% after 165 min. The sensitivity and specificity estimates were confirmed by leave-one-out cross validation. In conclusion, the phenotypic AST methods developed in this study are promising for rapid detection of MRSA and VRE. The development and application of this technology would allow early detection of the resistant pathogens, thus facilitating swift change to the targeted antimicrobial treatment as well as timely initiation of appropriate infection control measures. Further studies are warranted to validate this approach for the detection of other resistance phenotypes, including direct testing from clinical specimens. Frontiers Media S.A. 2017-06-14 /pmc/articles/PMC5470558/ /pubmed/28659889 http://dx.doi.org/10.3389/fmicb.2017.01064 Text en Copyright © 2017 Idelevich, Hoy, Görlich, Knaack, Grünastel, Peters, Borowski and Becker. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Idelevich, Evgeny A. Hoy, Matthias Görlich, Dennis Knaack, Dennis Grünastel, Barbara Peters, Georg Borowski, Matthias Becker, Karsten Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method() |
title | Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method() |
title_full | Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method() |
title_fullStr | Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method() |
title_full_unstemmed | Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method() |
title_short | Rapid Phenotypic Detection of Microbial Resistance in Gram-Positive Bacteria by a Real-Time Laser Scattering Method() |
title_sort | rapid phenotypic detection of microbial resistance in gram-positive bacteria by a real-time laser scattering method() |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470558/ https://www.ncbi.nlm.nih.gov/pubmed/28659889 http://dx.doi.org/10.3389/fmicb.2017.01064 |
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