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Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis

The role of oral microbiota in viral encephalitis and/or viral meningitis (VEVM) remains unclear. In this hospital-based, frequency-matched study, children with clinically diagnosed VEVM (n = 68) and those with other diseases (controls, n = 68) were recruited. Their oral swab samples were collected...

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Autores principales: Li, Yijie, Liu, Jing, Zhu, Yimin, Peng, Chunying, Dong, Yao, Liu, Lili, He, Yining, Lu, Guoping, Zheng, Yingjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Microbiological Society of Korea 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852926/
https://www.ncbi.nlm.nih.gov/pubmed/35157224
http://dx.doi.org/10.1007/s12275-022-1560-y
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author Li, Yijie
Liu, Jing
Zhu, Yimin
Peng, Chunying
Dong, Yao
Liu, Lili
He, Yining
Lu, Guoping
Zheng, Yingjie
author_facet Li, Yijie
Liu, Jing
Zhu, Yimin
Peng, Chunying
Dong, Yao
Liu, Lili
He, Yining
Lu, Guoping
Zheng, Yingjie
author_sort Li, Yijie
collection PubMed
description The role of oral microbiota in viral encephalitis and/or viral meningitis (VEVM) remains unclear. In this hospital-based, frequency-matched study, children with clinically diagnosed VEVM (n = 68) and those with other diseases (controls, n = 68) were recruited. Their oral swab samples were collected and the oral microbiota was profiled using 16S rRNA gene sequencing. The oral microbiota of children with VEVM exhibited different beta diversity metrics (unweighted UniFrac distance: P < 0.001, R(2) = 0.025, Bray-curtis dissimilarity: P = 0.045, R(2) = 0.011, and Jaccard dissimilarity: P < 0.001, R(2) = 0.017) and higher relative abundances of taxa identified by Linear discriminant analysis (LDA) with effect size (Enterococcus, Pedobacter, Massilia, Prevotella_9, Psychrobacter, Butyricimonas, Bradyrhizobium, etc., LDA scores > 2.0) when compared with the control group. The higher pathway abundance of steroid hormone biosynthesis predicted by oral microbiota was suggested to be linked to VEVM (q = 0.020). Further, a model based on oral microbial traits showed good predictive performance for VEVM with an area under the receiver operating characteristic curve of 0.920 (95% confidence interval: 0.834–1.000). Similar results were also obtained between children with etiologically diagnosed VEVM (n = 43) and controls (n = 68). Our preliminary study identified VEVM-specific oral microbial traits among children, which can be effective in the diagnosis of VEVM. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at 10.1007/s12275-022-1560-y.
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spelling pubmed-88529262022-02-18 Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis Li, Yijie Liu, Jing Zhu, Yimin Peng, Chunying Dong, Yao Liu, Lili He, Yining Lu, Guoping Zheng, Yingjie J Microbiol Microbial Pathogenesis and Host-Microbe Interaction The role of oral microbiota in viral encephalitis and/or viral meningitis (VEVM) remains unclear. In this hospital-based, frequency-matched study, children with clinically diagnosed VEVM (n = 68) and those with other diseases (controls, n = 68) were recruited. Their oral swab samples were collected and the oral microbiota was profiled using 16S rRNA gene sequencing. The oral microbiota of children with VEVM exhibited different beta diversity metrics (unweighted UniFrac distance: P < 0.001, R(2) = 0.025, Bray-curtis dissimilarity: P = 0.045, R(2) = 0.011, and Jaccard dissimilarity: P < 0.001, R(2) = 0.017) and higher relative abundances of taxa identified by Linear discriminant analysis (LDA) with effect size (Enterococcus, Pedobacter, Massilia, Prevotella_9, Psychrobacter, Butyricimonas, Bradyrhizobium, etc., LDA scores > 2.0) when compared with the control group. The higher pathway abundance of steroid hormone biosynthesis predicted by oral microbiota was suggested to be linked to VEVM (q = 0.020). Further, a model based on oral microbial traits showed good predictive performance for VEVM with an area under the receiver operating characteristic curve of 0.920 (95% confidence interval: 0.834–1.000). Similar results were also obtained between children with etiologically diagnosed VEVM (n = 43) and controls (n = 68). Our preliminary study identified VEVM-specific oral microbial traits among children, which can be effective in the diagnosis of VEVM. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at 10.1007/s12275-022-1560-y. The Microbiological Society of Korea 2022-02-14 2022 /pmc/articles/PMC8852926/ /pubmed/35157224 http://dx.doi.org/10.1007/s12275-022-1560-y Text en © The Microbiological Society of Korea 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Microbial Pathogenesis and Host-Microbe Interaction
Li, Yijie
Liu, Jing
Zhu, Yimin
Peng, Chunying
Dong, Yao
Liu, Lili
He, Yining
Lu, Guoping
Zheng, Yingjie
Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis
title Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis
title_full Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis
title_fullStr Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis
title_full_unstemmed Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis
title_short Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis
title_sort alterations of oral microbiota in chinese children with viral encephalitis and/or viral meningitis
topic Microbial Pathogenesis and Host-Microbe Interaction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852926/
https://www.ncbi.nlm.nih.gov/pubmed/35157224
http://dx.doi.org/10.1007/s12275-022-1560-y
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