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Metagenomic Analysis Identified Stenotrophomonas maltophilia Pneumonia in an Infant Suffering From Unexplained Very Severe Pneumonia
Pneumonia poses a significant global morbidity and mortality burden on children. Etiological diagnosis and matched anti-microbial therapy are particularly important for very severe pneumonia. Although great advances have been achieved in diagnostic approaches, it remains challenging to identify path...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761247/ https://www.ncbi.nlm.nih.gov/pubmed/31608265 http://dx.doi.org/10.3389/fped.2019.00380 |
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author | Lin, Yan Wang, Bao-Xi Zhang, Ni-Ni Zhang, Lei Gao, Zhi-Bo Tian, Jiao Jiang, Xun |
author_facet | Lin, Yan Wang, Bao-Xi Zhang, Ni-Ni Zhang, Lei Gao, Zhi-Bo Tian, Jiao Jiang, Xun |
author_sort | Lin, Yan |
collection | PubMed |
description | Pneumonia poses a significant global morbidity and mortality burden on children. Etiological diagnosis and matched anti-microbial therapy are particularly important for very severe pneumonia. Although great advances have been achieved in diagnostic approaches, it remains challenging to identify pathogens in unexplained pneumonia (UP) cases. In this study, we applied next-generation sequencing (NGS) technology and a metagenomic approach to detect and characterize respiratory bactiera in an UP case in infant. Stenotrophomonas maltophilia was the only bacterial pathogen detected in blood. Metagenomic sequencing also provided bacteria genomic sequences, which could be used to evaluate the role of this pathogen in the disease. This NGS method has the potential to improve the identification of causative organisms in patients with pneumonia and the delivery of appropriate, pathogen-directed antibiotic therapy. |
format | Online Article Text |
id | pubmed-6761247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67612472019-10-13 Metagenomic Analysis Identified Stenotrophomonas maltophilia Pneumonia in an Infant Suffering From Unexplained Very Severe Pneumonia Lin, Yan Wang, Bao-Xi Zhang, Ni-Ni Zhang, Lei Gao, Zhi-Bo Tian, Jiao Jiang, Xun Front Pediatr Pediatrics Pneumonia poses a significant global morbidity and mortality burden on children. Etiological diagnosis and matched anti-microbial therapy are particularly important for very severe pneumonia. Although great advances have been achieved in diagnostic approaches, it remains challenging to identify pathogens in unexplained pneumonia (UP) cases. In this study, we applied next-generation sequencing (NGS) technology and a metagenomic approach to detect and characterize respiratory bactiera in an UP case in infant. Stenotrophomonas maltophilia was the only bacterial pathogen detected in blood. Metagenomic sequencing also provided bacteria genomic sequences, which could be used to evaluate the role of this pathogen in the disease. This NGS method has the potential to improve the identification of causative organisms in patients with pneumonia and the delivery of appropriate, pathogen-directed antibiotic therapy. Frontiers Media S.A. 2019-09-19 /pmc/articles/PMC6761247/ /pubmed/31608265 http://dx.doi.org/10.3389/fped.2019.00380 Text en Copyright © 2019 Lin, Wang, Zhang, Zhang, Gao, Tian and Jiang. http://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 | Pediatrics Lin, Yan Wang, Bao-Xi Zhang, Ni-Ni Zhang, Lei Gao, Zhi-Bo Tian, Jiao Jiang, Xun Metagenomic Analysis Identified Stenotrophomonas maltophilia Pneumonia in an Infant Suffering From Unexplained Very Severe Pneumonia |
title | Metagenomic Analysis Identified Stenotrophomonas maltophilia Pneumonia in an Infant Suffering From Unexplained Very Severe Pneumonia |
title_full | Metagenomic Analysis Identified Stenotrophomonas maltophilia Pneumonia in an Infant Suffering From Unexplained Very Severe Pneumonia |
title_fullStr | Metagenomic Analysis Identified Stenotrophomonas maltophilia Pneumonia in an Infant Suffering From Unexplained Very Severe Pneumonia |
title_full_unstemmed | Metagenomic Analysis Identified Stenotrophomonas maltophilia Pneumonia in an Infant Suffering From Unexplained Very Severe Pneumonia |
title_short | Metagenomic Analysis Identified Stenotrophomonas maltophilia Pneumonia in an Infant Suffering From Unexplained Very Severe Pneumonia |
title_sort | metagenomic analysis identified stenotrophomonas maltophilia pneumonia in an infant suffering from unexplained very severe pneumonia |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761247/ https://www.ncbi.nlm.nih.gov/pubmed/31608265 http://dx.doi.org/10.3389/fped.2019.00380 |
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