Quantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking

Abstract Novel therapeutics designed to target the polymeric matrix of biofilms requires innovative techniques to accurately assess their efficacy. Here, multiple particle tracking (MPT) was developed to characterize the physical and mechanical properties of antimicrobial resistant (AMR) bacterial b...

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Autores principales: Lydia C. Powell, Muthanna Abdulkarim, Joana Stokniene, Qiu E. Yang, Timothy R. Walsh, Katja E. Hill, Mark Gumbleton, David W. Thomas
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/3d2fc454891849a6909b5596529837e7
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spelling oai:doaj.org-article:3d2fc454891849a6909b5596529837e72021-12-02T14:06:53ZQuantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking10.1038/s41522-020-00172-62055-5008https://doaj.org/article/3d2fc454891849a6909b5596529837e72021-02-01T00:00:00Zhttps://doi.org/10.1038/s41522-020-00172-6https://doaj.org/toc/2055-5008Abstract Novel therapeutics designed to target the polymeric matrix of biofilms requires innovative techniques to accurately assess their efficacy. Here, multiple particle tracking (MPT) was developed to characterize the physical and mechanical properties of antimicrobial resistant (AMR) bacterial biofilms and to quantify the effects of antibiotic treatment. Studies employed nanoparticles (NPs) of varying charge and size (40–500 nm) in Pseudomonas aeruginosa PAO1 and methicillin-resistant Staphylococcus aureus (MRSA) biofilms and also in polymyxin B (PMB) treated Escherichia coli biofilms of PMB-sensitive (PMBSens) IR57 and PMB-resistant (PMBR) PN47 strains. NP size-dependent and strain-related differences in the diffusion coefficient values of biofilms were evident between PAO1 and MRSA. Dose-dependent treatment effects induced by PMB in PMBSens E. coli biofilms included increases in diffusion and creep compliance (P < 0.05), not evident in PMB treatment of PMBR E. coli biofilms. Our results highlight the ability of MPT to quantify the diffusion and mechanical effects of antibiotic therapies within the AMR biofilm matrix, offering a valuable tool for the pre-clinical screening of anti-biofilm therapies.Lydia C. PowellMuthanna AbdulkarimJoana StoknieneQiu E. YangTimothy R. WalshKatja E. HillMark GumbletonDavid W. ThomasNature PortfolioarticleMicrobial ecologyQR100-130ENnpj Biofilms and Microbiomes, Vol 7, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Microbial ecology
QR100-130
spellingShingle Microbial ecology
QR100-130
Lydia C. Powell
Muthanna Abdulkarim
Joana Stokniene
Qiu E. Yang
Timothy R. Walsh
Katja E. Hill
Mark Gumbleton
David W. Thomas
Quantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking
description Abstract Novel therapeutics designed to target the polymeric matrix of biofilms requires innovative techniques to accurately assess their efficacy. Here, multiple particle tracking (MPT) was developed to characterize the physical and mechanical properties of antimicrobial resistant (AMR) bacterial biofilms and to quantify the effects of antibiotic treatment. Studies employed nanoparticles (NPs) of varying charge and size (40–500 nm) in Pseudomonas aeruginosa PAO1 and methicillin-resistant Staphylococcus aureus (MRSA) biofilms and also in polymyxin B (PMB) treated Escherichia coli biofilms of PMB-sensitive (PMBSens) IR57 and PMB-resistant (PMBR) PN47 strains. NP size-dependent and strain-related differences in the diffusion coefficient values of biofilms were evident between PAO1 and MRSA. Dose-dependent treatment effects induced by PMB in PMBSens E. coli biofilms included increases in diffusion and creep compliance (P < 0.05), not evident in PMB treatment of PMBR E. coli biofilms. Our results highlight the ability of MPT to quantify the diffusion and mechanical effects of antibiotic therapies within the AMR biofilm matrix, offering a valuable tool for the pre-clinical screening of anti-biofilm therapies.
format article
author Lydia C. Powell
Muthanna Abdulkarim
Joana Stokniene
Qiu E. Yang
Timothy R. Walsh
Katja E. Hill
Mark Gumbleton
David W. Thomas
author_facet Lydia C. Powell
Muthanna Abdulkarim
Joana Stokniene
Qiu E. Yang
Timothy R. Walsh
Katja E. Hill
Mark Gumbleton
David W. Thomas
author_sort Lydia C. Powell
title Quantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking
title_short Quantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking
title_full Quantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking
title_fullStr Quantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking
title_full_unstemmed Quantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking
title_sort quantifying the effects of antibiotic treatment on the extracellular polymer network of antimicrobial resistant and sensitive biofilms using multiple particle tracking
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3d2fc454891849a6909b5596529837e7
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