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Microbial signatures of neonatal bacterial meningitis from multiple body sites
As a common central nervous system infection in newborns, neonatal bacterial meningitis (NBM) can seriously affect their health and growth. However, although metagenomic approaches are being applied in clinical diagnostic practice, there are some limitations for whole metagenome sequencing and ampli...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477713/ https://www.ncbi.nlm.nih.gov/pubmed/37674578 http://dx.doi.org/10.3389/fcimb.2023.1169101 |
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author | Hou, Yuyang Zhang, Meng Jiang, Qiannan Yang, Yuping Liu, Jiang Yuan, Ke Sun, Zheng Liu, Xiuxiang |
author_facet | Hou, Yuyang Zhang, Meng Jiang, Qiannan Yang, Yuping Liu, Jiang Yuan, Ke Sun, Zheng Liu, Xiuxiang |
author_sort | Hou, Yuyang |
collection | PubMed |
description | As a common central nervous system infection in newborns, neonatal bacterial meningitis (NBM) can seriously affect their health and growth. However, although metagenomic approaches are being applied in clinical diagnostic practice, there are some limitations for whole metagenome sequencing and amplicon sequencing in handling low microbial biomass samples. Through a newly developed ultra-sensitive metagenomic sequencing method named 2bRAD-M, we investigated the microbial signatures of central nervous system infections in neonates admitted to the neonatal intensive care unit. Particularly, we recruited a total of 23 neonates suspected of having NBM and collected their blood, cerebrospinal fluid, and skin samples for 2bRAD-M sequencing. Then we developed a novel decontamination method (Reads Level Decontamination, RLD) for 2bRAD-M by which we efficiently denoised the sequencing data and found some potential biomarkers that have significantly different relative abundance between 12 patients that were diagnosed as NBM and 11 Non-NBM based on their cerebrospinal fluid (CSF) examination results. Specifically, we discovered 11 and 8 potential biomarkers for NBM in blood and CSF separately and further identified 16 and 35 microbial species that highly correlated with the physiological indicators in blood and CSF. Our study not only provide microbiological evidence to aid in the diagnosis of NBM but also demonstrated the application of an ultra-sensitive metagenomic sequencing method in pathogenesis study. |
format | Online Article Text |
id | pubmed-10477713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104777132023-09-06 Microbial signatures of neonatal bacterial meningitis from multiple body sites Hou, Yuyang Zhang, Meng Jiang, Qiannan Yang, Yuping Liu, Jiang Yuan, Ke Sun, Zheng Liu, Xiuxiang Front Cell Infect Microbiol Cellular and Infection Microbiology As a common central nervous system infection in newborns, neonatal bacterial meningitis (NBM) can seriously affect their health and growth. However, although metagenomic approaches are being applied in clinical diagnostic practice, there are some limitations for whole metagenome sequencing and amplicon sequencing in handling low microbial biomass samples. Through a newly developed ultra-sensitive metagenomic sequencing method named 2bRAD-M, we investigated the microbial signatures of central nervous system infections in neonates admitted to the neonatal intensive care unit. Particularly, we recruited a total of 23 neonates suspected of having NBM and collected their blood, cerebrospinal fluid, and skin samples for 2bRAD-M sequencing. Then we developed a novel decontamination method (Reads Level Decontamination, RLD) for 2bRAD-M by which we efficiently denoised the sequencing data and found some potential biomarkers that have significantly different relative abundance between 12 patients that were diagnosed as NBM and 11 Non-NBM based on their cerebrospinal fluid (CSF) examination results. Specifically, we discovered 11 and 8 potential biomarkers for NBM in blood and CSF separately and further identified 16 and 35 microbial species that highly correlated with the physiological indicators in blood and CSF. Our study not only provide microbiological evidence to aid in the diagnosis of NBM but also demonstrated the application of an ultra-sensitive metagenomic sequencing method in pathogenesis study. Frontiers Media S.A. 2023-08-22 /pmc/articles/PMC10477713/ /pubmed/37674578 http://dx.doi.org/10.3389/fcimb.2023.1169101 Text en Copyright © 2023 Hou, Zhang, Jiang, Yang, Liu, Yuan, Sun 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 | Cellular and Infection Microbiology Hou, Yuyang Zhang, Meng Jiang, Qiannan Yang, Yuping Liu, Jiang Yuan, Ke Sun, Zheng Liu, Xiuxiang Microbial signatures of neonatal bacterial meningitis from multiple body sites |
title | Microbial signatures of neonatal bacterial meningitis from multiple body sites |
title_full | Microbial signatures of neonatal bacterial meningitis from multiple body sites |
title_fullStr | Microbial signatures of neonatal bacterial meningitis from multiple body sites |
title_full_unstemmed | Microbial signatures of neonatal bacterial meningitis from multiple body sites |
title_short | Microbial signatures of neonatal bacterial meningitis from multiple body sites |
title_sort | microbial signatures of neonatal bacterial meningitis from multiple body sites |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477713/ https://www.ncbi.nlm.nih.gov/pubmed/37674578 http://dx.doi.org/10.3389/fcimb.2023.1169101 |
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