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Community structure of environmental microorganisms associated with COVID-19 affected patients

To clarify the characteristics and distribution of hospital environmental microbiome associated with confirmed COVID-19 patients. Environmental samples with varying degrees of contamination which were associated with confirmed COVID-19 patients were collected, including 13 aerosol samples collected...

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Autores principales: Zhang, Weihua, Mo, Guoxin, Yang, Jie, Hu, Xingshuo, Huang, Hujie, Zhu, Jing, Zhang, Pei, Xia, Han, Xie, Lixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093081/
https://www.ncbi.nlm.nih.gov/pubmed/33967379
http://dx.doi.org/10.1007/s10453-021-09708-5
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author Zhang, Weihua
Mo, Guoxin
Yang, Jie
Hu, Xingshuo
Huang, Hujie
Zhu, Jing
Zhang, Pei
Xia, Han
Xie, Lixin
author_facet Zhang, Weihua
Mo, Guoxin
Yang, Jie
Hu, Xingshuo
Huang, Hujie
Zhu, Jing
Zhang, Pei
Xia, Han
Xie, Lixin
author_sort Zhang, Weihua
collection PubMed
description To clarify the characteristics and distribution of hospital environmental microbiome associated with confirmed COVID-19 patients. Environmental samples with varying degrees of contamination which were associated with confirmed COVID-19 patients were collected, including 13 aerosol samples collected near eight patients in different wards, five swabs from one patient’s skin and his personal belongings, and two swabs from the surface of positive pressure respiratory protective hood and the face shield from a physician who had close contact with one patient. Metagenomic next-generation sequencing (mNGS) was used to analyze the composition of the microbiome. One of the aerosol samples (near patient 4) was detected positive for COVID-19, and others were all negative. The environmental samples collected in different wards possessed protean compositions and community structures, the dominant genera including Pseudomonas, Corynebacterium, Neisseria, Staphylococcus, Acinetobacter, and Cutibacterium. Top 10 of genera accounted for more than 76.72%. Genera abundance and proportion of human microbes and pathogens radiated outward from the patient, while the percentage of environmental microbes increased. The abundance of the pathogenic microorganism of medical supplies is significantly higher than other surface samples. The microbial compositions of the aerosol collected samples nearby the patients were mostly similar to those from the surfaces of the patient's skin and personal belongings, but the abundance varied greatly. The positive rate of COVID-19 RNA detected from aerosol around patients in general wards was quite low. The ward environment was predominantly inhabited by species closely related to admitted patients. The spread of hospital microorganisms via aerosol was influenced by the patients’ activity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10453-021-09708-5.
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spelling pubmed-80930812021-05-05 Community structure of environmental microorganisms associated with COVID-19 affected patients Zhang, Weihua Mo, Guoxin Yang, Jie Hu, Xingshuo Huang, Hujie Zhu, Jing Zhang, Pei Xia, Han Xie, Lixin Aerobiologia (Bologna) Original Paper To clarify the characteristics and distribution of hospital environmental microbiome associated with confirmed COVID-19 patients. Environmental samples with varying degrees of contamination which were associated with confirmed COVID-19 patients were collected, including 13 aerosol samples collected near eight patients in different wards, five swabs from one patient’s skin and his personal belongings, and two swabs from the surface of positive pressure respiratory protective hood and the face shield from a physician who had close contact with one patient. Metagenomic next-generation sequencing (mNGS) was used to analyze the composition of the microbiome. One of the aerosol samples (near patient 4) was detected positive for COVID-19, and others were all negative. The environmental samples collected in different wards possessed protean compositions and community structures, the dominant genera including Pseudomonas, Corynebacterium, Neisseria, Staphylococcus, Acinetobacter, and Cutibacterium. Top 10 of genera accounted for more than 76.72%. Genera abundance and proportion of human microbes and pathogens radiated outward from the patient, while the percentage of environmental microbes increased. The abundance of the pathogenic microorganism of medical supplies is significantly higher than other surface samples. The microbial compositions of the aerosol collected samples nearby the patients were mostly similar to those from the surfaces of the patient's skin and personal belongings, but the abundance varied greatly. The positive rate of COVID-19 RNA detected from aerosol around patients in general wards was quite low. The ward environment was predominantly inhabited by species closely related to admitted patients. The spread of hospital microorganisms via aerosol was influenced by the patients’ activity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10453-021-09708-5. Springer Netherlands 2021-05-04 2021 /pmc/articles/PMC8093081/ /pubmed/33967379 http://dx.doi.org/10.1007/s10453-021-09708-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Zhang, Weihua
Mo, Guoxin
Yang, Jie
Hu, Xingshuo
Huang, Hujie
Zhu, Jing
Zhang, Pei
Xia, Han
Xie, Lixin
Community structure of environmental microorganisms associated with COVID-19 affected patients
title Community structure of environmental microorganisms associated with COVID-19 affected patients
title_full Community structure of environmental microorganisms associated with COVID-19 affected patients
title_fullStr Community structure of environmental microorganisms associated with COVID-19 affected patients
title_full_unstemmed Community structure of environmental microorganisms associated with COVID-19 affected patients
title_short Community structure of environmental microorganisms associated with COVID-19 affected patients
title_sort community structure of environmental microorganisms associated with covid-19 affected patients
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093081/
https://www.ncbi.nlm.nih.gov/pubmed/33967379
http://dx.doi.org/10.1007/s10453-021-09708-5
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