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A simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time

Understanding the response of bacteria to environmental stress is hampered by the relative insensitivity of methods to detect growth. This means studies of antibiotic resistance and other physiological methods often take 24 h or longer. We developed and tested a scattered light and detection system...

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Autores principales: Hammond, Robert J. H., Falconer, Kerry, Powell, Thomas, Bowness, Ruth, Gillespie, Stephen H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653415/
https://www.ncbi.nlm.nih.gov/pubmed/36371444
http://dx.doi.org/10.1038/s41598-022-22671-6
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author Hammond, Robert J. H.
Falconer, Kerry
Powell, Thomas
Bowness, Ruth
Gillespie, Stephen H.
author_facet Hammond, Robert J. H.
Falconer, Kerry
Powell, Thomas
Bowness, Ruth
Gillespie, Stephen H.
author_sort Hammond, Robert J. H.
collection PubMed
description Understanding the response of bacteria to environmental stress is hampered by the relative insensitivity of methods to detect growth. This means studies of antibiotic resistance and other physiological methods often take 24 h or longer. We developed and tested a scattered light and detection system (SLIC) to address this challenge, establishing the limit of detection, and time to positive detection of the growth of small inocula. We compared the light-scattering of bacteria grown in varying high and low nutrient liquid medium and the growth dynamics of two closely related organisms. Scattering data was modelled using Gompertz and Broken Stick equations. Bacteria were also exposed meropenem, gentamicin and cefoxitin at a range of concentrations and light scattering of the liquid culture was captured in real-time. We established the limit of detection for SLIC to be between 10 and 100 cfu mL(−1) in a volume of 1–2 mL. Quantitative measurement of the different nutrient effects on bacteria were obtained in less than four hours and it was possible to distinguish differences in the growth dynamics of Klebsiella pneumoniae 1705 possessing the Bla(KPC) betalactamase vs. strain 1706 very rapidly. There was a dose dependent difference in the speed of action of each antibiotic tested at supra-MIC concentrations. The lethal effect of gentamicin and lytic effect of meropenem, and slow bactericidal effect of cefoxitin were demonstrated in real time. Significantly, strains that were sensitive to antibiotics could be identified in seconds. This research demonstrates the critical importance of improving the sensitivity of bacterial detection. This results in more rapid assessment of susceptibility and the ability to capture a wealth of data on the growth dynamics of bacteria. The rapid rate at which killing occurs at supra-MIC concentrations, an important finding that needs to be incorporated into pharmacokinetic and pharmacodynamic models. Importantly, enhanced sensitivity of bacterial detection opens the possibility of susceptibility results being reportable clinically in a few minutes, as we have demonstrated.
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spelling pubmed-96534152022-11-15 A simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time Hammond, Robert J. H. Falconer, Kerry Powell, Thomas Bowness, Ruth Gillespie, Stephen H. Sci Rep Article Understanding the response of bacteria to environmental stress is hampered by the relative insensitivity of methods to detect growth. This means studies of antibiotic resistance and other physiological methods often take 24 h or longer. We developed and tested a scattered light and detection system (SLIC) to address this challenge, establishing the limit of detection, and time to positive detection of the growth of small inocula. We compared the light-scattering of bacteria grown in varying high and low nutrient liquid medium and the growth dynamics of two closely related organisms. Scattering data was modelled using Gompertz and Broken Stick equations. Bacteria were also exposed meropenem, gentamicin and cefoxitin at a range of concentrations and light scattering of the liquid culture was captured in real-time. We established the limit of detection for SLIC to be between 10 and 100 cfu mL(−1) in a volume of 1–2 mL. Quantitative measurement of the different nutrient effects on bacteria were obtained in less than four hours and it was possible to distinguish differences in the growth dynamics of Klebsiella pneumoniae 1705 possessing the Bla(KPC) betalactamase vs. strain 1706 very rapidly. There was a dose dependent difference in the speed of action of each antibiotic tested at supra-MIC concentrations. The lethal effect of gentamicin and lytic effect of meropenem, and slow bactericidal effect of cefoxitin were demonstrated in real time. Significantly, strains that were sensitive to antibiotics could be identified in seconds. This research demonstrates the critical importance of improving the sensitivity of bacterial detection. This results in more rapid assessment of susceptibility and the ability to capture a wealth of data on the growth dynamics of bacteria. The rapid rate at which killing occurs at supra-MIC concentrations, an important finding that needs to be incorporated into pharmacokinetic and pharmacodynamic models. Importantly, enhanced sensitivity of bacterial detection opens the possibility of susceptibility results being reportable clinically in a few minutes, as we have demonstrated. Nature Publishing Group UK 2022-11-12 /pmc/articles/PMC9653415/ /pubmed/36371444 http://dx.doi.org/10.1038/s41598-022-22671-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hammond, Robert J. H.
Falconer, Kerry
Powell, Thomas
Bowness, Ruth
Gillespie, Stephen H.
A simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time
title A simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time
title_full A simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time
title_fullStr A simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time
title_full_unstemmed A simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time
title_short A simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time
title_sort simple label-free method reveals bacterial growth dynamics and antibiotic action in real-time
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653415/
https://www.ncbi.nlm.nih.gov/pubmed/36371444
http://dx.doi.org/10.1038/s41598-022-22671-6
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