Diagnosis and Surveillance of Neonatal Infections by Metagenomic Next-Generation Sequencing
Microbial infections cause significant morbidity and mortality in neonates. Metagenomic next-generation sequencing is a hypothesis-free and culture-free test that enables broad identification of pathogens and antimicrobial resistance genes directly from clinical samples within 24 h. In this study, w...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989347/ https://www.ncbi.nlm.nih.gov/pubmed/35401464 http://dx.doi.org/10.3389/fmicb.2022.855988 |
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author | Zhang, Rong Zhuang, Yan Xiao, Zheng-hui Li, Cai-yun Zhang, Fan Huang, Wei-qing Zhang, Min Peng, Xiao-Ming Liu, Chao |
author_facet | Zhang, Rong Zhuang, Yan Xiao, Zheng-hui Li, Cai-yun Zhang, Fan Huang, Wei-qing Zhang, Min Peng, Xiao-Ming Liu, Chao |
author_sort | Zhang, Rong |
collection | PubMed |
description | Microbial infections cause significant morbidity and mortality in neonates. Metagenomic next-generation sequencing is a hypothesis-free and culture-free test that enables broad identification of pathogens and antimicrobial resistance genes directly from clinical samples within 24 h. In this study, we used mNGS for etiological diagnosis and monitoring the efficacy of antibiotic treatment in a cohort of neonatal patients with severe infections. The median age was 19.5 (3–52) days, median gestational age was 37.96 (31–40(+3)) weeks, and the median birth weight was 3,261 (1,300–4,300) g. The types of infectious diseases included pneumonia, sepsis, and meningitis. mNGS reported microbial findings in all cases, which led to changes in antibiotic treatment. These included cases of Mycobacterium tuberculosis, Legionella pneumophila, and Bacillus cereus. Eight of ten infants recovered after antibiotic adjustment and showed normal development during follow-up. On the other hand, neurological retardation was seen in two infants with meningitis. mNGS enabled etiological diagnosis and guided antibiotic therapy when all conventional methods failed to discover the culprit. It has the potential to cut down the overall cost and burden of disease management in neonatal infections. |
format | Online Article Text |
id | pubmed-8989347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89893472022-04-08 Diagnosis and Surveillance of Neonatal Infections by Metagenomic Next-Generation Sequencing Zhang, Rong Zhuang, Yan Xiao, Zheng-hui Li, Cai-yun Zhang, Fan Huang, Wei-qing Zhang, Min Peng, Xiao-Ming Liu, Chao Front Microbiol Microbiology Microbial infections cause significant morbidity and mortality in neonates. Metagenomic next-generation sequencing is a hypothesis-free and culture-free test that enables broad identification of pathogens and antimicrobial resistance genes directly from clinical samples within 24 h. In this study, we used mNGS for etiological diagnosis and monitoring the efficacy of antibiotic treatment in a cohort of neonatal patients with severe infections. The median age was 19.5 (3–52) days, median gestational age was 37.96 (31–40(+3)) weeks, and the median birth weight was 3,261 (1,300–4,300) g. The types of infectious diseases included pneumonia, sepsis, and meningitis. mNGS reported microbial findings in all cases, which led to changes in antibiotic treatment. These included cases of Mycobacterium tuberculosis, Legionella pneumophila, and Bacillus cereus. Eight of ten infants recovered after antibiotic adjustment and showed normal development during follow-up. On the other hand, neurological retardation was seen in two infants with meningitis. mNGS enabled etiological diagnosis and guided antibiotic therapy when all conventional methods failed to discover the culprit. It has the potential to cut down the overall cost and burden of disease management in neonatal infections. Frontiers Media S.A. 2022-03-24 /pmc/articles/PMC8989347/ /pubmed/35401464 http://dx.doi.org/10.3389/fmicb.2022.855988 Text en Copyright © 2022 Zhang, Zhuang, Xiao, Li, Zhang, Huang, Zhang, Peng and Liu. 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 | Microbiology Zhang, Rong Zhuang, Yan Xiao, Zheng-hui Li, Cai-yun Zhang, Fan Huang, Wei-qing Zhang, Min Peng, Xiao-Ming Liu, Chao Diagnosis and Surveillance of Neonatal Infections by Metagenomic Next-Generation Sequencing |
title | Diagnosis and Surveillance of Neonatal Infections by Metagenomic Next-Generation Sequencing |
title_full | Diagnosis and Surveillance of Neonatal Infections by Metagenomic Next-Generation Sequencing |
title_fullStr | Diagnosis and Surveillance of Neonatal Infections by Metagenomic Next-Generation Sequencing |
title_full_unstemmed | Diagnosis and Surveillance of Neonatal Infections by Metagenomic Next-Generation Sequencing |
title_short | Diagnosis and Surveillance of Neonatal Infections by Metagenomic Next-Generation Sequencing |
title_sort | diagnosis and surveillance of neonatal infections by metagenomic next-generation sequencing |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989347/ https://www.ncbi.nlm.nih.gov/pubmed/35401464 http://dx.doi.org/10.3389/fmicb.2022.855988 |
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