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Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra
Raman spectrometry appears to be an opportunity to perform rapid tests in microbiological diagnostics as it provides phenotype-related information from single bacterial cells thus holding the promise of direct analysis of clinical specimens without any time-consuming growth phase. Here, we demonstra...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5834538/ https://www.ncbi.nlm.nih.gov/pubmed/29500449 http://dx.doi.org/10.1038/s41598-018-22392-9 |
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author | Novelli-Rousseau, A. Espagnon, I. Filiputti, D. Gal, O. Douet, A. Mallard, F. Josso, Q. |
author_facet | Novelli-Rousseau, A. Espagnon, I. Filiputti, D. Gal, O. Douet, A. Mallard, F. Josso, Q. |
author_sort | Novelli-Rousseau, A. |
collection | PubMed |
description | Raman spectrometry appears to be an opportunity to perform rapid tests in microbiological diagnostics as it provides phenotype-related information from single bacterial cells thus holding the promise of direct analysis of clinical specimens without any time-consuming growth phase. Here, we demonstrate the feasibility of a rapid antibiotic-susceptibility determination based on the use of Raman spectra acquired on single bacterial cells. After a two-hour preculture step, one susceptible and two resistant E. coli strains were incubated, for only two hours, in the presence of different bactericidal antibiotics (gentamicin, ciprofloxacin, amoxicillin) in a range of concentrations that included the clinical breakpoints used as references in microbial diagnostic. Spectra were acquired and processed to isolate spectral modifications associated with the antibiotic effect. We evidenced an “antibiotic effect signature” which is expressed with specific Raman peaks and the coexistence of three spectral populations in the presence of antibiotic. We devised an algorithm and a test procedure that overcome single-cell heterogeneities to estimate the MIC and determinate the susceptibility phenotype of the tested bacteria using only a few single-cell spectra in four hours only if including the preculture step. |
format | Online Article Text |
id | pubmed-5834538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58345382018-03-05 Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra Novelli-Rousseau, A. Espagnon, I. Filiputti, D. Gal, O. Douet, A. Mallard, F. Josso, Q. Sci Rep Article Raman spectrometry appears to be an opportunity to perform rapid tests in microbiological diagnostics as it provides phenotype-related information from single bacterial cells thus holding the promise of direct analysis of clinical specimens without any time-consuming growth phase. Here, we demonstrate the feasibility of a rapid antibiotic-susceptibility determination based on the use of Raman spectra acquired on single bacterial cells. After a two-hour preculture step, one susceptible and two resistant E. coli strains were incubated, for only two hours, in the presence of different bactericidal antibiotics (gentamicin, ciprofloxacin, amoxicillin) in a range of concentrations that included the clinical breakpoints used as references in microbial diagnostic. Spectra were acquired and processed to isolate spectral modifications associated with the antibiotic effect. We evidenced an “antibiotic effect signature” which is expressed with specific Raman peaks and the coexistence of three spectral populations in the presence of antibiotic. We devised an algorithm and a test procedure that overcome single-cell heterogeneities to estimate the MIC and determinate the susceptibility phenotype of the tested bacteria using only a few single-cell spectra in four hours only if including the preculture step. Nature Publishing Group UK 2018-03-02 /pmc/articles/PMC5834538/ /pubmed/29500449 http://dx.doi.org/10.1038/s41598-018-22392-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Novelli-Rousseau, A. Espagnon, I. Filiputti, D. Gal, O. Douet, A. Mallard, F. Josso, Q. Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra |
title | Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra |
title_full | Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra |
title_fullStr | Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra |
title_full_unstemmed | Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra |
title_short | Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra |
title_sort | culture-free antibiotic-susceptibility determination from single-bacterium raman spectra |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5834538/ https://www.ncbi.nlm.nih.gov/pubmed/29500449 http://dx.doi.org/10.1038/s41598-018-22392-9 |
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