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Diversity changes of microbial communities into hospital surface environments

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/71154

Title: Diversity changes of microbial communities into hospital surface environments
Authors: Yano, Rika Browse this author →KAKEN DB
Shimoda, Tomoko Browse this author →KAKEN DB
Watanabe, Reina Browse this author →KAKEN DB
Kuroki, Yasutoshi Browse this author
Okubo, Torahiko Browse this author
Nakamura, Shinji Browse this author →KAKEN DB
Matsuo, Junji Browse this author →KAKEN DB
Yoshimura, Sadako Browse this author →KAKEN DB
Yamaguchi, Hiroyuki Browse this author →KAKEN DB
Keywords: Hygiene
Nosocomial infection
Hospital cleanliness
16S rRNA sequence analysis
Microbiome
Issue Date: Jul-2017
Publisher: Elsevier
Journal Title: Journal of Infection and Chemotherapy
Volume: 23
Issue: 7
Start Page: 439
End Page: 445
Publisher DOI: 10.1016/j.jiac.2017.03.016
PMID: 28431935
Abstract: Previous works have demonstrated considerable variability in hospital cleanliness in Japan, suggesting that contamination is driven by factors that are currently poorly controlled. We undertook 16S rRNA sequence analysis to study population structures of hospital environmental microbiomes to see which factor(s) impacted contamination. One hundred forty-four samples were collected from surfaces of three hospitals with distinct sizes (“A”: >500 beds, “B”: 100–500 beds, “C”: <100 beds). Sample locations of two ward types (Surgical and Internal) included patient room bed table (multiple) (4BT), patient overbed table (multiple) (4OT), patient room sink (multiple) (4S), patient room bed table (single) (SBT), patient overbed table (single) (SOT), patient room sink (single) (SS), nurse desk (ND), and nurse wagon (NW). Total DNA was extracted from each sample, and the 50 samples that yielded sufficient DNA were used for further 16S rRNA sequencing of hospital microbiome populations with cluster analysis. The number of assigned bacterial OTU populations was significantly decreased in hospital “C” compared to the other hospitals. Cluster analysis of sampling locations revealed that the population structure in almost all locations of hospital “C” and some locations in the other hospitals was very similar and unusually skewed with a family, Enterobacteriaceae. Interestingly, locations included patient area (4OT, 4BT, SBT) and nurse area (ND), with a device (NW) bridging the two and a place (4S and SS) shared between patients or visitors. We demonstrated diversity changes of hospital environmental microbiomes with a skewed population, presumably by medical staff pushing NWs or sinks shared by patients or visitors.
Rights: © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/
Type: article (author version)
URI: http://hdl.handle.net/2115/71154
Appears in Collections:保健科学院・保健科学研究院 (Graduate School of Health Sciences / Faculty of Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 山口 博之

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