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Direct identification of bacterial and human proteins from infected wounds in living 3D skin models
Trauma is one of the leading causes of death in people under the age of 49 and complications due to wound infection are the primary cause of death in the first few days after injury. The ESKAPE pathogens are a group of bacteria that are a leading cause of hospital-acquired infections and a major con...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368034/ https://www.ncbi.nlm.nih.gov/pubmed/32681099 http://dx.doi.org/10.1038/s41598-020-68233-6 |
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author | Havlikova, Jana May, Robin C. Styles, Iain B. Cooper, Helen J. |
author_facet | Havlikova, Jana May, Robin C. Styles, Iain B. Cooper, Helen J. |
author_sort | Havlikova, Jana |
collection | PubMed |
description | Trauma is one of the leading causes of death in people under the age of 49 and complications due to wound infection are the primary cause of death in the first few days after injury. The ESKAPE pathogens are a group of bacteria that are a leading cause of hospital-acquired infections and a major concern in terms of antibiotic resistance. Here, we demonstrate a novel and highly accurate approach for the rapid identification of ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) directly from infected wounds in 3D in vitro skin models. Wounded skin models were inoculated with bacteria and left to incubate. Bacterial proteins were identified within minutes, directly from the wound, by liquid extraction surface analysis mass spectrometry. This approach was able to distinguish closely related strains and, unlike genomic approaches, can be modified to provide dynamic information about pathogen behaviour at the wound site. In addition, since human skin proteins were also identified, this method offers the opportunity to analyse both host and pathogen biomarkers during wound infection in near real-time. |
format | Online Article Text |
id | pubmed-7368034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73680342020-07-20 Direct identification of bacterial and human proteins from infected wounds in living 3D skin models Havlikova, Jana May, Robin C. Styles, Iain B. Cooper, Helen J. Sci Rep Article Trauma is one of the leading causes of death in people under the age of 49 and complications due to wound infection are the primary cause of death in the first few days after injury. The ESKAPE pathogens are a group of bacteria that are a leading cause of hospital-acquired infections and a major concern in terms of antibiotic resistance. Here, we demonstrate a novel and highly accurate approach for the rapid identification of ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) directly from infected wounds in 3D in vitro skin models. Wounded skin models were inoculated with bacteria and left to incubate. Bacterial proteins were identified within minutes, directly from the wound, by liquid extraction surface analysis mass spectrometry. This approach was able to distinguish closely related strains and, unlike genomic approaches, can be modified to provide dynamic information about pathogen behaviour at the wound site. In addition, since human skin proteins were also identified, this method offers the opportunity to analyse both host and pathogen biomarkers during wound infection in near real-time. Nature Publishing Group UK 2020-07-17 /pmc/articles/PMC7368034/ /pubmed/32681099 http://dx.doi.org/10.1038/s41598-020-68233-6 Text en © The Author(s) 2020 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 Havlikova, Jana May, Robin C. Styles, Iain B. Cooper, Helen J. Direct identification of bacterial and human proteins from infected wounds in living 3D skin models |
title | Direct identification of bacterial and human proteins from infected wounds in living 3D skin models |
title_full | Direct identification of bacterial and human proteins from infected wounds in living 3D skin models |
title_fullStr | Direct identification of bacterial and human proteins from infected wounds in living 3D skin models |
title_full_unstemmed | Direct identification of bacterial and human proteins from infected wounds in living 3D skin models |
title_short | Direct identification of bacterial and human proteins from infected wounds in living 3D skin models |
title_sort | direct identification of bacterial and human proteins from infected wounds in living 3d skin models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368034/ https://www.ncbi.nlm.nih.gov/pubmed/32681099 http://dx.doi.org/10.1038/s41598-020-68233-6 |
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