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High-throughput Identification of Bacteria Repellent Polymers for Medical Devices
Medical devices are often associated with hospital-acquired infections, which place enormous strain on patients and the healthcare system as well as contributing to antimicrobial resistance. One possible avenue for the reduction of device-associated infections is the identification of bacteria-repel...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226084/ https://www.ncbi.nlm.nih.gov/pubmed/27842360 http://dx.doi.org/10.3791/54382 |
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author | Venkateswaran, Seshasailam Gwynne, Peter J. Wu, Mei Hardman, Ailsa Lilienkampf, Annamaria Pernagallo, Salvatore Blakely, Garry Swann, David G. Bradley, Mark Gallagher, Maurice P. |
author_facet | Venkateswaran, Seshasailam Gwynne, Peter J. Wu, Mei Hardman, Ailsa Lilienkampf, Annamaria Pernagallo, Salvatore Blakely, Garry Swann, David G. Bradley, Mark Gallagher, Maurice P. |
author_sort | Venkateswaran, Seshasailam |
collection | PubMed |
description | Medical devices are often associated with hospital-acquired infections, which place enormous strain on patients and the healthcare system as well as contributing to antimicrobial resistance. One possible avenue for the reduction of device-associated infections is the identification of bacteria-repellent polymer coatings for these devices, which would prevent bacterial binding at the initial attachment step. A method for the identification of such repellent polymers, based on the parallel screening of hundreds of polymers using a microarray, is described here. This high-throughput method resulted in the identification of a range of promising polymers that resisted binding of various clinically relevant bacterial species individually and also as multi-species communities. One polymer, PA13 (poly(methylmethacrylate-co-dimethylacrylamide)), demonstrated significant reduction in attachment of a number of hospital isolates when coated onto two commercially available central venous catheters. The method described could be applied to identify polymers for a wide range of applications in which modification of bacterial attachment is important. |
format | Online Article Text |
id | pubmed-5226084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-52260842017-01-26 High-throughput Identification of Bacteria Repellent Polymers for Medical Devices Venkateswaran, Seshasailam Gwynne, Peter J. Wu, Mei Hardman, Ailsa Lilienkampf, Annamaria Pernagallo, Salvatore Blakely, Garry Swann, David G. Bradley, Mark Gallagher, Maurice P. J Vis Exp Biomedical Engineering Medical devices are often associated with hospital-acquired infections, which place enormous strain on patients and the healthcare system as well as contributing to antimicrobial resistance. One possible avenue for the reduction of device-associated infections is the identification of bacteria-repellent polymer coatings for these devices, which would prevent bacterial binding at the initial attachment step. A method for the identification of such repellent polymers, based on the parallel screening of hundreds of polymers using a microarray, is described here. This high-throughput method resulted in the identification of a range of promising polymers that resisted binding of various clinically relevant bacterial species individually and also as multi-species communities. One polymer, PA13 (poly(methylmethacrylate-co-dimethylacrylamide)), demonstrated significant reduction in attachment of a number of hospital isolates when coated onto two commercially available central venous catheters. The method described could be applied to identify polymers for a wide range of applications in which modification of bacterial attachment is important. MyJove Corporation 2016-11-05 /pmc/articles/PMC5226084/ /pubmed/27842360 http://dx.doi.org/10.3791/54382 Text en Copyright © 2016, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Biomedical Engineering Venkateswaran, Seshasailam Gwynne, Peter J. Wu, Mei Hardman, Ailsa Lilienkampf, Annamaria Pernagallo, Salvatore Blakely, Garry Swann, David G. Bradley, Mark Gallagher, Maurice P. High-throughput Identification of Bacteria Repellent Polymers for Medical Devices |
title | High-throughput Identification of Bacteria Repellent Polymers for Medical Devices |
title_full | High-throughput Identification of Bacteria Repellent Polymers for Medical Devices |
title_fullStr | High-throughput Identification of Bacteria Repellent Polymers for Medical Devices |
title_full_unstemmed | High-throughput Identification of Bacteria Repellent Polymers for Medical Devices |
title_short | High-throughput Identification of Bacteria Repellent Polymers for Medical Devices |
title_sort | high-throughput identification of bacteria repellent polymers for medical devices |
topic | Biomedical Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226084/ https://www.ncbi.nlm.nih.gov/pubmed/27842360 http://dx.doi.org/10.3791/54382 |
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