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The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid

PURPOSE: The application of metagenomic next-generation sequencing (mNGS) in the diagnosis of tuberculous meningitis (TBM) remains poorly characterized. Here, we retrospectively analyzed data from patients with TBM who had taken both mNGS and conventional tests including culture of Mycobacterium tub...

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Autores principales: Wang, Shengnan, Chen, Yingli, Wang, Dongmei, Wu, Yongming, Zhao, Deqiang, Zhang, Jianzhao, Xie, Huifang, Gong, Yanping, Sun, Ruixue, Nie, Xifang, Jiang, Haishan, Zhang, Jian, Li, Wei, Liu, Guanghui, Li, Xuan, Huang, Kaibin, Huang, Yingwei, Li, Yongjun, Guan, Hongzhi, Pan, Suyue, Hu, Yafang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733977/
https://www.ncbi.nlm.nih.gov/pubmed/31551954
http://dx.doi.org/10.3389/fmicb.2019.01993
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author Wang, Shengnan
Chen, Yingli
Wang, Dongmei
Wu, Yongming
Zhao, Deqiang
Zhang, Jianzhao
Xie, Huifang
Gong, Yanping
Sun, Ruixue
Nie, Xifang
Jiang, Haishan
Zhang, Jian
Li, Wei
Liu, Guanghui
Li, Xuan
Huang, Kaibin
Huang, Yingwei
Li, Yongjun
Guan, Hongzhi
Pan, Suyue
Hu, Yafang
author_facet Wang, Shengnan
Chen, Yingli
Wang, Dongmei
Wu, Yongming
Zhao, Deqiang
Zhang, Jianzhao
Xie, Huifang
Gong, Yanping
Sun, Ruixue
Nie, Xifang
Jiang, Haishan
Zhang, Jian
Li, Wei
Liu, Guanghui
Li, Xuan
Huang, Kaibin
Huang, Yingwei
Li, Yongjun
Guan, Hongzhi
Pan, Suyue
Hu, Yafang
author_sort Wang, Shengnan
collection PubMed
description PURPOSE: The application of metagenomic next-generation sequencing (mNGS) in the diagnosis of tuberculous meningitis (TBM) remains poorly characterized. Here, we retrospectively analyzed data from patients with TBM who had taken both mNGS and conventional tests including culture of Mycobacterium tuberculosis (MTB), polymerase chain reaction (PCR) and acid-fast bacillus (AFB) stain, and the sensitivity and specificity of these methods were compared. METHODS: We retrospectively recruited TBM patients admitted to the hospital between December 2015 and October 2018. The first collection of cerebrospinal fluid (CSF) samples underwent both mNGS and conventional tests. In addition, patients with bacterial/cryptococcal meningitis or viral meningoencephalitis were mNGS positive controls, and a patient with auto-immune encephalitis was an mNGS negative control. RESULTS: Twenty three TBM patients were classified as 12 definite and 11 clinical diagnoses, which were based on clinical manifestations, pathogen evidence, CSF parameters, brain imaging, and treatment response. The mNGS method identified sequences of Mycobacterium tuberculosis complex (MBTC) from 18 samples (18/23, 78.26%). In patients with definite TBM, the sensitivity of mNGS, AFB, PCR, and culture to detect MTB in the first CSF samples were 66.67, 33.33, 25, and 8.33%, respectively. The specificity of each method was 100%. Among the four negative mNGS cases (4/23, 17.39%), three turned out positive by repeated AFB stain. The agreement of mNGS with the total of conventional methods was 44.44% (8/18). Combination of mNGS and conventional methods increased the detection rate to 95.65%. One patient was diagnosed as complex of TBM and cryptococcal meningitis, in which AFB stain and cryptococcal antigen enzyme immunoassay were positive and the DNA of Cryptococcus neoformans was detected by mNGS. CONCLUSION: Our study indicates that mNGS is an alternative method to detect the presence of mycobacterial DNA in CSF samples from patients with TBM and deserves to be applied as a front-line CSF test.
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spelling pubmed-67339772019-09-24 The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid Wang, Shengnan Chen, Yingli Wang, Dongmei Wu, Yongming Zhao, Deqiang Zhang, Jianzhao Xie, Huifang Gong, Yanping Sun, Ruixue Nie, Xifang Jiang, Haishan Zhang, Jian Li, Wei Liu, Guanghui Li, Xuan Huang, Kaibin Huang, Yingwei Li, Yongjun Guan, Hongzhi Pan, Suyue Hu, Yafang Front Microbiol Microbiology PURPOSE: The application of metagenomic next-generation sequencing (mNGS) in the diagnosis of tuberculous meningitis (TBM) remains poorly characterized. Here, we retrospectively analyzed data from patients with TBM who had taken both mNGS and conventional tests including culture of Mycobacterium tuberculosis (MTB), polymerase chain reaction (PCR) and acid-fast bacillus (AFB) stain, and the sensitivity and specificity of these methods were compared. METHODS: We retrospectively recruited TBM patients admitted to the hospital between December 2015 and October 2018. The first collection of cerebrospinal fluid (CSF) samples underwent both mNGS and conventional tests. In addition, patients with bacterial/cryptococcal meningitis or viral meningoencephalitis were mNGS positive controls, and a patient with auto-immune encephalitis was an mNGS negative control. RESULTS: Twenty three TBM patients were classified as 12 definite and 11 clinical diagnoses, which were based on clinical manifestations, pathogen evidence, CSF parameters, brain imaging, and treatment response. The mNGS method identified sequences of Mycobacterium tuberculosis complex (MBTC) from 18 samples (18/23, 78.26%). In patients with definite TBM, the sensitivity of mNGS, AFB, PCR, and culture to detect MTB in the first CSF samples were 66.67, 33.33, 25, and 8.33%, respectively. The specificity of each method was 100%. Among the four negative mNGS cases (4/23, 17.39%), three turned out positive by repeated AFB stain. The agreement of mNGS with the total of conventional methods was 44.44% (8/18). Combination of mNGS and conventional methods increased the detection rate to 95.65%. One patient was diagnosed as complex of TBM and cryptococcal meningitis, in which AFB stain and cryptococcal antigen enzyme immunoassay were positive and the DNA of Cryptococcus neoformans was detected by mNGS. CONCLUSION: Our study indicates that mNGS is an alternative method to detect the presence of mycobacterial DNA in CSF samples from patients with TBM and deserves to be applied as a front-line CSF test. Frontiers Media S.A. 2019-09-03 /pmc/articles/PMC6733977/ /pubmed/31551954 http://dx.doi.org/10.3389/fmicb.2019.01993 Text en Copyright © 2019 Wang, Chen, Wang, Wu, Zhao, Zhang, Xie, Gong, Sun, Nie, Jiang, Zhang, Li, Liu, Li, Huang, Huang, Li, Guan, Pan and Hu. 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 Microbiology
Wang, Shengnan
Chen, Yingli
Wang, Dongmei
Wu, Yongming
Zhao, Deqiang
Zhang, Jianzhao
Xie, Huifang
Gong, Yanping
Sun, Ruixue
Nie, Xifang
Jiang, Haishan
Zhang, Jian
Li, Wei
Liu, Guanghui
Li, Xuan
Huang, Kaibin
Huang, Yingwei
Li, Yongjun
Guan, Hongzhi
Pan, Suyue
Hu, Yafang
The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid
title The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid
title_full The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid
title_fullStr The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid
title_full_unstemmed The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid
title_short The Feasibility of Metagenomic Next-Generation Sequencing to Identify Pathogens Causing Tuberculous Meningitis in Cerebrospinal Fluid
title_sort feasibility of metagenomic next-generation sequencing to identify pathogens causing tuberculous meningitis in cerebrospinal fluid
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733977/
https://www.ncbi.nlm.nih.gov/pubmed/31551954
http://dx.doi.org/10.3389/fmicb.2019.01993
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