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Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center

BACKGROUND: Two of the most important pathogens contributing to the global rise in antimicrobial resistance (AMR) are Klebsiella pneumoniae and Enterobacter cloacae. Despite this, most of our knowledge about the changing patterns of disease caused by these two pathogens is based on studies with limi...

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Autores principales: Ellington, Matthew J., Heinz, Eva, Wailan, Alexander M., Dorman, Matthew J., de Goffau, Marcus, Cain, Amy K., Henson, Sonal P., Gleadall, Nicholas, Boinett, Christine J., Dougan, Gordon, Brown, Nicholas M., Woodford, Neil, Parkhill, Julian, Török, M. Estée, Peacock, Sharon J., Thomson, Nicholas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717969/
https://www.ncbi.nlm.nih.gov/pubmed/31477167
http://dx.doi.org/10.1186/s13059-019-1785-1
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author Ellington, Matthew J.
Heinz, Eva
Wailan, Alexander M.
Dorman, Matthew J.
de Goffau, Marcus
Cain, Amy K.
Henson, Sonal P.
Gleadall, Nicholas
Boinett, Christine J.
Dougan, Gordon
Brown, Nicholas M.
Woodford, Neil
Parkhill, Julian
Török, M. Estée
Peacock, Sharon J.
Thomson, Nicholas R.
author_facet Ellington, Matthew J.
Heinz, Eva
Wailan, Alexander M.
Dorman, Matthew J.
de Goffau, Marcus
Cain, Amy K.
Henson, Sonal P.
Gleadall, Nicholas
Boinett, Christine J.
Dougan, Gordon
Brown, Nicholas M.
Woodford, Neil
Parkhill, Julian
Török, M. Estée
Peacock, Sharon J.
Thomson, Nicholas R.
author_sort Ellington, Matthew J.
collection PubMed
description BACKGROUND: Two of the most important pathogens contributing to the global rise in antimicrobial resistance (AMR) are Klebsiella pneumoniae and Enterobacter cloacae. Despite this, most of our knowledge about the changing patterns of disease caused by these two pathogens is based on studies with limited timeframes that provide few insights into their population dynamics or the dynamics in AMR elements that they can carry. RESULTS: We investigate the population dynamics of two priority AMR pathogens over 7 years between 2007 and 2012 in a major UK hospital, spanning changes made to UK national antimicrobial prescribing policy in 2007. Between 2006 and 2012, K. pneumoniae showed epidemiological cycles of multi-drug-resistant (MDR) lineages being replaced approximately every 2 years. This contrasted E. cloacae where there was no temporally changing pattern, but a continuous presence of the mixed population. CONCLUSIONS: The differing patterns of clonal replacement and acquisition of mobile elements shows that the flux in the K. pneumoniae population was linked to the introduction of globally recognized MDR clones carrying drug resistance markers on mobile elements. However, E. cloacae carries a chromosomally encoded ampC conferring resistance to front-line treatments and shows that MDR plasmid acquisition in E. cloacae was not indicative of success in the hospital. This led to markedly different dynamics in the AMR populations of these two pathogens and shows that the mechanism of the resistance and its location in the genome or mobile elements is crucial to predict population dynamics of opportunistic pathogens in clinical settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1785-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-67179692019-09-06 Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center Ellington, Matthew J. Heinz, Eva Wailan, Alexander M. Dorman, Matthew J. de Goffau, Marcus Cain, Amy K. Henson, Sonal P. Gleadall, Nicholas Boinett, Christine J. Dougan, Gordon Brown, Nicholas M. Woodford, Neil Parkhill, Julian Török, M. Estée Peacock, Sharon J. Thomson, Nicholas R. Genome Biol Research BACKGROUND: Two of the most important pathogens contributing to the global rise in antimicrobial resistance (AMR) are Klebsiella pneumoniae and Enterobacter cloacae. Despite this, most of our knowledge about the changing patterns of disease caused by these two pathogens is based on studies with limited timeframes that provide few insights into their population dynamics or the dynamics in AMR elements that they can carry. RESULTS: We investigate the population dynamics of two priority AMR pathogens over 7 years between 2007 and 2012 in a major UK hospital, spanning changes made to UK national antimicrobial prescribing policy in 2007. Between 2006 and 2012, K. pneumoniae showed epidemiological cycles of multi-drug-resistant (MDR) lineages being replaced approximately every 2 years. This contrasted E. cloacae where there was no temporally changing pattern, but a continuous presence of the mixed population. CONCLUSIONS: The differing patterns of clonal replacement and acquisition of mobile elements shows that the flux in the K. pneumoniae population was linked to the introduction of globally recognized MDR clones carrying drug resistance markers on mobile elements. However, E. cloacae carries a chromosomally encoded ampC conferring resistance to front-line treatments and shows that MDR plasmid acquisition in E. cloacae was not indicative of success in the hospital. This led to markedly different dynamics in the AMR populations of these two pathogens and shows that the mechanism of the resistance and its location in the genome or mobile elements is crucial to predict population dynamics of opportunistic pathogens in clinical settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1785-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-09-02 /pmc/articles/PMC6717969/ /pubmed/31477167 http://dx.doi.org/10.1186/s13059-019-1785-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Ellington, Matthew J.
Heinz, Eva
Wailan, Alexander M.
Dorman, Matthew J.
de Goffau, Marcus
Cain, Amy K.
Henson, Sonal P.
Gleadall, Nicholas
Boinett, Christine J.
Dougan, Gordon
Brown, Nicholas M.
Woodford, Neil
Parkhill, Julian
Török, M. Estée
Peacock, Sharon J.
Thomson, Nicholas R.
Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center
title Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center
title_full Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center
title_fullStr Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center
title_full_unstemmed Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center
title_short Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center
title_sort contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717969/
https://www.ncbi.nlm.nih.gov/pubmed/31477167
http://dx.doi.org/10.1186/s13059-019-1785-1
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