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Characterisation of Microbial Community Associated with Different Disinfection Treatments in Hospital hot Water Networks

Many disinfection treatments can be adopted for controlling opportunistic pathogens in hospital water networks in order to reduce infection risk for immunocompromised patients. Each method has limits and strengths and it could determine modifications on bacterial community. The aim of our investigat...

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Autores principales: Paduano, Stefania, Marchesi, Isabella, Casali, Maria Elisabetta, Valeriani, Federica, Frezza, Giuseppina, Vecchi, Elena, Sircana, Luca, Romano Spica, Vincenzo, Borella, Paola, Bargellini, Annalisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143765/
https://www.ncbi.nlm.nih.gov/pubmed/32213901
http://dx.doi.org/10.3390/ijerph17062158
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author Paduano, Stefania
Marchesi, Isabella
Casali, Maria Elisabetta
Valeriani, Federica
Frezza, Giuseppina
Vecchi, Elena
Sircana, Luca
Romano Spica, Vincenzo
Borella, Paola
Bargellini, Annalisa
author_facet Paduano, Stefania
Marchesi, Isabella
Casali, Maria Elisabetta
Valeriani, Federica
Frezza, Giuseppina
Vecchi, Elena
Sircana, Luca
Romano Spica, Vincenzo
Borella, Paola
Bargellini, Annalisa
author_sort Paduano, Stefania
collection PubMed
description Many disinfection treatments can be adopted for controlling opportunistic pathogens in hospital water networks in order to reduce infection risk for immunocompromised patients. Each method has limits and strengths and it could determine modifications on bacterial community. The aim of our investigation was to study under real-life conditions the microbial community associated with different chemical (monochloramine, hydrogen peroxide, chlorine dioxide) and non-chemical (hyperthermia) treatments, continuously applied since many years in four hot water networks of the same hospital. Municipal cold water, untreated secondary, and treated hot water were analysed for microbiome characterization by 16S amplicon sequencing. Cold waters had a common microbial profile at genera level. The hot water bacterial profiles differed according to treatment. Our results confirm the effectiveness of disinfection strategies in our hospital for controlling potential pathogens such as Legionella, as the investigated genera containing opportunistic pathogens were absent or had relative abundances ≤1%, except for non-tuberculous mycobacteria, Sphingomonas, Ochrobactrum and Brevundimonas. Monitoring the microbial complexity of healthcare water networks through 16S amplicon sequencing is an innovative and effective approach useful for Public Health purpose in order to verify possible modifications of microbiota associated with disinfection treatments.
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spelling pubmed-71437652020-04-14 Characterisation of Microbial Community Associated with Different Disinfection Treatments in Hospital hot Water Networks Paduano, Stefania Marchesi, Isabella Casali, Maria Elisabetta Valeriani, Federica Frezza, Giuseppina Vecchi, Elena Sircana, Luca Romano Spica, Vincenzo Borella, Paola Bargellini, Annalisa Int J Environ Res Public Health Article Many disinfection treatments can be adopted for controlling opportunistic pathogens in hospital water networks in order to reduce infection risk for immunocompromised patients. Each method has limits and strengths and it could determine modifications on bacterial community. The aim of our investigation was to study under real-life conditions the microbial community associated with different chemical (monochloramine, hydrogen peroxide, chlorine dioxide) and non-chemical (hyperthermia) treatments, continuously applied since many years in four hot water networks of the same hospital. Municipal cold water, untreated secondary, and treated hot water were analysed for microbiome characterization by 16S amplicon sequencing. Cold waters had a common microbial profile at genera level. The hot water bacterial profiles differed according to treatment. Our results confirm the effectiveness of disinfection strategies in our hospital for controlling potential pathogens such as Legionella, as the investigated genera containing opportunistic pathogens were absent or had relative abundances ≤1%, except for non-tuberculous mycobacteria, Sphingomonas, Ochrobactrum and Brevundimonas. Monitoring the microbial complexity of healthcare water networks through 16S amplicon sequencing is an innovative and effective approach useful for Public Health purpose in order to verify possible modifications of microbiota associated with disinfection treatments. MDPI 2020-03-24 2020-03 /pmc/articles/PMC7143765/ /pubmed/32213901 http://dx.doi.org/10.3390/ijerph17062158 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Paduano, Stefania
Marchesi, Isabella
Casali, Maria Elisabetta
Valeriani, Federica
Frezza, Giuseppina
Vecchi, Elena
Sircana, Luca
Romano Spica, Vincenzo
Borella, Paola
Bargellini, Annalisa
Characterisation of Microbial Community Associated with Different Disinfection Treatments in Hospital hot Water Networks
title Characterisation of Microbial Community Associated with Different Disinfection Treatments in Hospital hot Water Networks
title_full Characterisation of Microbial Community Associated with Different Disinfection Treatments in Hospital hot Water Networks
title_fullStr Characterisation of Microbial Community Associated with Different Disinfection Treatments in Hospital hot Water Networks
title_full_unstemmed Characterisation of Microbial Community Associated with Different Disinfection Treatments in Hospital hot Water Networks
title_short Characterisation of Microbial Community Associated with Different Disinfection Treatments in Hospital hot Water Networks
title_sort characterisation of microbial community associated with different disinfection treatments in hospital hot water networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143765/
https://www.ncbi.nlm.nih.gov/pubmed/32213901
http://dx.doi.org/10.3390/ijerph17062158
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