Real time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection model

Infection is the main cause of biomaterials-related failure. A simple technique to test in-vivo new antimicrobial and/or nonadhesive implant coatings is unavailable. Current in vitro methods for studying bacterial adhesion and growth on biomaterial surfaces lack the influence of the host immune syst...

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Main Authors: Engelsman, A, Van Der Mei, H, Francis, K, Busscher, H, Ploeg, R, Dam, V
Format: Journal article
Language:English
Published: 2009
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author Engelsman, A
Van Der Mei, H
Francis, K
Busscher, H
Ploeg, R
Dam, V
author_facet Engelsman, A
Van Der Mei, H
Francis, K
Busscher, H
Ploeg, R
Dam, V
author_sort Engelsman, A
collection OXFORD
description Infection is the main cause of biomaterials-related failure. A simple technique to test in-vivo new antimicrobial and/or nonadhesive implant coatings is unavailable. Current in vitro methods for studying bacterial adhesion and growth on biomaterial surfaces lack the influence of the host immune system. Most in vivo methods to study biomaterials-related infections routinely involve implant-removal, preventing comprehensive longitudinal monitoring. In vivo imaging circumvents these drawbacks and is based on the use of noninvasive optical imaging of bioluminescent bacteria. Staphylococcus aureus Xen29 is genetically modified to be stably bioluminescent, by the introduction of a modified full lux operon onto its chromosome. Surgical meshes with adhering S. aureus Xen29 were implanted in mice and bacterial growth and spread into the surrounding tissue was monitored longitudinally from bioluminescence with a highly sensitive CCD camera. Distinct spatiotemporal bioluminescence patterns, extending beyond the mesh area into surrounding tissues were observed. After 10 days, the number of living organisms isolated from explanted meshes was found to correlate with bioluminescence prior to sacrifice of the animals. Therefore, it is concluded that in vivo imaging using bioluminescent bacteria is ideally suited to study antimicrobial coatings taking into account the host immune system. In addition, longitudinal monitoring of infection in one animal will significantly reduce the number of experiments and animals. © 2008 Wiley Periodicals, Inc.
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spelling oxford-uuid:5508496a-2f8f-4f2d-8bd2-1ade8547c9f22022-03-26T16:41:30ZReal time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection modelJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5508496a-2f8f-4f2d-8bd2-1ade8547c9f2EnglishSymplectic Elements at Oxford2009Engelsman, AVan Der Mei, HFrancis, KBusscher, HPloeg, RDam, VInfection is the main cause of biomaterials-related failure. A simple technique to test in-vivo new antimicrobial and/or nonadhesive implant coatings is unavailable. Current in vitro methods for studying bacterial adhesion and growth on biomaterial surfaces lack the influence of the host immune system. Most in vivo methods to study biomaterials-related infections routinely involve implant-removal, preventing comprehensive longitudinal monitoring. In vivo imaging circumvents these drawbacks and is based on the use of noninvasive optical imaging of bioluminescent bacteria. Staphylococcus aureus Xen29 is genetically modified to be stably bioluminescent, by the introduction of a modified full lux operon onto its chromosome. Surgical meshes with adhering S. aureus Xen29 were implanted in mice and bacterial growth and spread into the surrounding tissue was monitored longitudinally from bioluminescence with a highly sensitive CCD camera. Distinct spatiotemporal bioluminescence patterns, extending beyond the mesh area into surrounding tissues were observed. After 10 days, the number of living organisms isolated from explanted meshes was found to correlate with bioluminescence prior to sacrifice of the animals. Therefore, it is concluded that in vivo imaging using bioluminescent bacteria is ideally suited to study antimicrobial coatings taking into account the host immune system. In addition, longitudinal monitoring of infection in one animal will significantly reduce the number of experiments and animals. © 2008 Wiley Periodicals, Inc.
spellingShingle Engelsman, A
Van Der Mei, H
Francis, K
Busscher, H
Ploeg, R
Dam, V
Real time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection model
title Real time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection model
title_full Real time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection model
title_fullStr Real time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection model
title_full_unstemmed Real time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection model
title_short Real time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection model
title_sort real time noninvasive monitoring of contaminating bacteria in a soft tissue implant infection model
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