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Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19

BACKGROUND: The impact of COVID-19 on the world is still ongoing, and it is currently under regular management. Although most infected people have flu-like symptoms and can cure themselves, coexisting pathogens in COVID-19 patients should not be taken lightly. The present study sought to investigate...

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Autores principales: Gao, Zhan, Yu, Lisong, Cao, Ling, Yang, Meng, Li, Yuhui, Lan, Yue, Tang, Ruixiang, Huang, Yang, Luan, Guangxin, Liu, Yingfen, Yu, Hailin, Jian, Ling, Zha, Yi, Fan, Zhenxin, Bai, Yujiao, Luo, Mei, He, Miao, Deng, Shanshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325643/
https://www.ncbi.nlm.nih.gov/pubmed/37424777
http://dx.doi.org/10.3389/fcimb.2023.1140548
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author Gao, Zhan
Yu, Lisong
Cao, Ling
Yang, Meng
Li, Yuhui
Lan, Yue
Tang, Ruixiang
Huang, Yang
Luan, Guangxin
Liu, Yingfen
Yu, Hailin
Jian, Ling
Zha, Yi
Fan, Zhenxin
Bai, Yujiao
Luo, Mei
He, Miao
Deng, Shanshan
author_facet Gao, Zhan
Yu, Lisong
Cao, Ling
Yang, Meng
Li, Yuhui
Lan, Yue
Tang, Ruixiang
Huang, Yang
Luan, Guangxin
Liu, Yingfen
Yu, Hailin
Jian, Ling
Zha, Yi
Fan, Zhenxin
Bai, Yujiao
Luo, Mei
He, Miao
Deng, Shanshan
author_sort Gao, Zhan
collection PubMed
description BACKGROUND: The impact of COVID-19 on the world is still ongoing, and it is currently under regular management. Although most infected people have flu-like symptoms and can cure themselves, coexisting pathogens in COVID-19 patients should not be taken lightly. The present study sought to investigate the coexisting pathogens in SARS-CoV-2 infected patients and identify the variety and abundance of dangerous microbes to guide treatment strategies with a better understanding of the untested factors. METHODS: We extracted total DNA and RNA in COVID-19 patient specimens from nasopharyngeal swabs to construct a metagenomic library and utilize Next Generation Sequencing (NGS) to discover chief bacteria, fungi, and viruses in the body of patients. High-throughput sequencing data from Illumina Hiseq 4000 were analyzed using Krona taxonomic methodology for species diversity. RESULTS: We studied 56 samples to detect SARS-CoV-2 and other pathogens and analyzed the species diversity and community composition of these samples after sequencing. Our results showed some threatening pathogens such as Mycoplasma pneumoniae, Klebsiella pneumoniae, Streptococcus pneumoniae, and some previously reported pathogens. SARS-CoV-2 combined with bacterial infection is more common. The results of heat map analysis showed that the abundance of bacteria was mostly more than 1000 and that of viruses was generally less than 500. The pathogens most likely to cause SARS-CoV-2 coinfection or superinfection include Streptococcus pneumoniae, Haemophilus influenzae, Staphylococcus aureus, Klebsiella pneumoniae, and Human gammaherpesvirus 4. CONCLUSIONS: The current coinfection and superinfection status is not optimistic. Bacteria are the major threat group that increases the risk of complications and death in COVID-19 patients and attention should be paid to the use and control of antibiotics. Our study investigated the main types of respiratory pathogens prone to coexisting or superinfection in COVID-19 patients, which is valuable for identifying and treating SARS-CoV-2.
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spelling pubmed-103256432023-07-07 Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19 Gao, Zhan Yu, Lisong Cao, Ling Yang, Meng Li, Yuhui Lan, Yue Tang, Ruixiang Huang, Yang Luan, Guangxin Liu, Yingfen Yu, Hailin Jian, Ling Zha, Yi Fan, Zhenxin Bai, Yujiao Luo, Mei He, Miao Deng, Shanshan Front Cell Infect Microbiol Cellular and Infection Microbiology BACKGROUND: The impact of COVID-19 on the world is still ongoing, and it is currently under regular management. Although most infected people have flu-like symptoms and can cure themselves, coexisting pathogens in COVID-19 patients should not be taken lightly. The present study sought to investigate the coexisting pathogens in SARS-CoV-2 infected patients and identify the variety and abundance of dangerous microbes to guide treatment strategies with a better understanding of the untested factors. METHODS: We extracted total DNA and RNA in COVID-19 patient specimens from nasopharyngeal swabs to construct a metagenomic library and utilize Next Generation Sequencing (NGS) to discover chief bacteria, fungi, and viruses in the body of patients. High-throughput sequencing data from Illumina Hiseq 4000 were analyzed using Krona taxonomic methodology for species diversity. RESULTS: We studied 56 samples to detect SARS-CoV-2 and other pathogens and analyzed the species diversity and community composition of these samples after sequencing. Our results showed some threatening pathogens such as Mycoplasma pneumoniae, Klebsiella pneumoniae, Streptococcus pneumoniae, and some previously reported pathogens. SARS-CoV-2 combined with bacterial infection is more common. The results of heat map analysis showed that the abundance of bacteria was mostly more than 1000 and that of viruses was generally less than 500. The pathogens most likely to cause SARS-CoV-2 coinfection or superinfection include Streptococcus pneumoniae, Haemophilus influenzae, Staphylococcus aureus, Klebsiella pneumoniae, and Human gammaherpesvirus 4. CONCLUSIONS: The current coinfection and superinfection status is not optimistic. Bacteria are the major threat group that increases the risk of complications and death in COVID-19 patients and attention should be paid to the use and control of antibiotics. Our study investigated the main types of respiratory pathogens prone to coexisting or superinfection in COVID-19 patients, which is valuable for identifying and treating SARS-CoV-2. Frontiers Media S.A. 2023-06-22 /pmc/articles/PMC10325643/ /pubmed/37424777 http://dx.doi.org/10.3389/fcimb.2023.1140548 Text en Copyright © 2023 Gao, Yu, Cao, Yang, Li, Lan, Tang, Huang, Luan, Liu, Yu, Jian, Zha, Fan, Bai, Luo, He and Deng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Gao, Zhan
Yu, Lisong
Cao, Ling
Yang, Meng
Li, Yuhui
Lan, Yue
Tang, Ruixiang
Huang, Yang
Luan, Guangxin
Liu, Yingfen
Yu, Hailin
Jian, Ling
Zha, Yi
Fan, Zhenxin
Bai, Yujiao
Luo, Mei
He, Miao
Deng, Shanshan
Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19
title Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19
title_full Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19
title_fullStr Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19
title_full_unstemmed Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19
title_short Analysis of coexisting pathogens in nasopharyngeal swabs from COVID-19
title_sort analysis of coexisting pathogens in nasopharyngeal swabs from covid-19
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325643/
https://www.ncbi.nlm.nih.gov/pubmed/37424777
http://dx.doi.org/10.3389/fcimb.2023.1140548
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