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Multi-drug resistant Klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and Bayesian phylogenetic analysis for outbreak investigations

Carbapenems resistant Enterobacteriaceae infections are increasing worldwide representing an emerging public health problem. The application of phylogenetic and phylodynamic analyses to bacterial whole genome sequencing (WGS) data have become essential in the epidemiological surveillance of multi-dr...

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Autores principales: Cella, Eleonora, Ciccozzi, Massimo, Lo Presti, Alessandra, Fogolari, Marta, Azarian, Taj, Prosperi, Mattia, Salemi, Marco, Equestre, Michele, Antonelli, Francesca, Conti, Alessia, Cesaris, Marina De, Spoto, Silvia, Incalzi, Raffaele Antonelli, Coppola, Roberto, Dicuonzo, Giordano, Angeletti, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471223/
https://www.ncbi.nlm.nih.gov/pubmed/28615687
http://dx.doi.org/10.1038/s41598-017-03581-4
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author Cella, Eleonora
Ciccozzi, Massimo
Lo Presti, Alessandra
Fogolari, Marta
Azarian, Taj
Prosperi, Mattia
Salemi, Marco
Equestre, Michele
Antonelli, Francesca
Conti, Alessia
Cesaris, Marina De
Spoto, Silvia
Incalzi, Raffaele Antonelli
Coppola, Roberto
Dicuonzo, Giordano
Angeletti, Silvia
author_facet Cella, Eleonora
Ciccozzi, Massimo
Lo Presti, Alessandra
Fogolari, Marta
Azarian, Taj
Prosperi, Mattia
Salemi, Marco
Equestre, Michele
Antonelli, Francesca
Conti, Alessia
Cesaris, Marina De
Spoto, Silvia
Incalzi, Raffaele Antonelli
Coppola, Roberto
Dicuonzo, Giordano
Angeletti, Silvia
author_sort Cella, Eleonora
collection PubMed
description Carbapenems resistant Enterobacteriaceae infections are increasing worldwide representing an emerging public health problem. The application of phylogenetic and phylodynamic analyses to bacterial whole genome sequencing (WGS) data have become essential in the epidemiological surveillance of multi-drug resistant nosocomial pathogens. Between January 2012 and February 2013, twenty-one multi-drug resistant K. pneumoniae strains, were collected from patients hospitalized among different wards of the University Hospital Campus Bio-Medico. Epidemiological contact tracing of patients and Bayesian phylogenetic analysis of bacterial WGS data were used to investigate the evolution and spatial dispersion of K. pneumoniae in support of hospital infection control. The epidemic curve of incident K. pneumoniae cases showed a bimodal distribution of cases with two peaks separated by 46 days between November 2012 and January 2013. The time-scaled phylogeny suggested that K. pneumoniae strains isolated during the study period may have been introduced into the hospital setting as early as 2007. Moreover, the phylogeny showed two different epidemic introductions in 2008 and 2009. Bayesian genomic epidemiology is a powerful tool that promises to improve the surveillance and control of multi-drug resistant pathogens in an effort to develop effective infection prevention in healthcare settings or constant strains reintroduction.
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spelling pubmed-54712232017-06-19 Multi-drug resistant Klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and Bayesian phylogenetic analysis for outbreak investigations Cella, Eleonora Ciccozzi, Massimo Lo Presti, Alessandra Fogolari, Marta Azarian, Taj Prosperi, Mattia Salemi, Marco Equestre, Michele Antonelli, Francesca Conti, Alessia Cesaris, Marina De Spoto, Silvia Incalzi, Raffaele Antonelli Coppola, Roberto Dicuonzo, Giordano Angeletti, Silvia Sci Rep Article Carbapenems resistant Enterobacteriaceae infections are increasing worldwide representing an emerging public health problem. The application of phylogenetic and phylodynamic analyses to bacterial whole genome sequencing (WGS) data have become essential in the epidemiological surveillance of multi-drug resistant nosocomial pathogens. Between January 2012 and February 2013, twenty-one multi-drug resistant K. pneumoniae strains, were collected from patients hospitalized among different wards of the University Hospital Campus Bio-Medico. Epidemiological contact tracing of patients and Bayesian phylogenetic analysis of bacterial WGS data were used to investigate the evolution and spatial dispersion of K. pneumoniae in support of hospital infection control. The epidemic curve of incident K. pneumoniae cases showed a bimodal distribution of cases with two peaks separated by 46 days between November 2012 and January 2013. The time-scaled phylogeny suggested that K. pneumoniae strains isolated during the study period may have been introduced into the hospital setting as early as 2007. Moreover, the phylogeny showed two different epidemic introductions in 2008 and 2009. Bayesian genomic epidemiology is a powerful tool that promises to improve the surveillance and control of multi-drug resistant pathogens in an effort to develop effective infection prevention in healthcare settings or constant strains reintroduction. Nature Publishing Group UK 2017-06-14 /pmc/articles/PMC5471223/ /pubmed/28615687 http://dx.doi.org/10.1038/s41598-017-03581-4 Text en © The Author(s) 2017 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
Cella, Eleonora
Ciccozzi, Massimo
Lo Presti, Alessandra
Fogolari, Marta
Azarian, Taj
Prosperi, Mattia
Salemi, Marco
Equestre, Michele
Antonelli, Francesca
Conti, Alessia
Cesaris, Marina De
Spoto, Silvia
Incalzi, Raffaele Antonelli
Coppola, Roberto
Dicuonzo, Giordano
Angeletti, Silvia
Multi-drug resistant Klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and Bayesian phylogenetic analysis for outbreak investigations
title Multi-drug resistant Klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and Bayesian phylogenetic analysis for outbreak investigations
title_full Multi-drug resistant Klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and Bayesian phylogenetic analysis for outbreak investigations
title_fullStr Multi-drug resistant Klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and Bayesian phylogenetic analysis for outbreak investigations
title_full_unstemmed Multi-drug resistant Klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and Bayesian phylogenetic analysis for outbreak investigations
title_short Multi-drug resistant Klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and Bayesian phylogenetic analysis for outbreak investigations
title_sort multi-drug resistant klebsiella pneumoniae strains circulating in hospital setting: whole-genome sequencing and bayesian phylogenetic analysis for outbreak investigations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471223/
https://www.ncbi.nlm.nih.gov/pubmed/28615687
http://dx.doi.org/10.1038/s41598-017-03581-4
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