Dataset Information

Pathogen identification in culture-negative cerebrospinal fluid specimens of patients with purulent meningitis using next-generation sequencing technology.

ABSTRACT: Antimicrobial therapy necessitates fast and accurate detection of pathogens in purulent meningitis (PM) diagnosis. Although considered a gold standard, the traditional bacterial detection and identification methods based on routine bacterial culture are time-consuming and show low sensitivity and specificity. In order to reduce PM-related deaths and improve the treatment efficiency, we employed trace DNA extraction technology and combined it with Next-Generation Sequencing technology for bacteria identification. We extracted DNA from 31 cerebrospinal fluid (CSF) samples from people with PM. The samples were collected by lumbar puncture at Xi'an Children Hospital under a stringent protocol. Ion PGMTM System Next-Generation Sequencing was used to screen for pathogens in the CSF samples based on their 16S ribosomal RNA (rRNA) genes. Of the 31 CSF samples, 29 were culture negative. Streptococcus was detected in 2 samples by culture-based methods. The species identified by Next-Generation Sequencing showed a diverse bacterial population that included Streptococcus (22.6%), Escherichia (15.9%), Peptostreptococcus (10.7%), Pseudomonas (10.5%), Rothia (8.8%), Acinetobacter (4.9%), Prevotella (4.1%), Bacillus (3.3%), Neisseria (2.5%), Catonella (2.4%), Acitinomyces (2.0%), and Citrobacter (2.0%). Clustering analysis revealed three major bacterial groups, namely Streptococcus, Escherichia and Acinetobacter, each group with a different proportion of bacterial species. The results indicated that PM may result from infections by multiple bacterial species as opposed to a single species, with infectivity determined by abundance of the dominant species. Furthermore, Next-Generation Sequencing allowed a sensitive and specific etiological basis for identification of pathogens not only in the cerebrospinal fluid specimens, but also in other clinical samples.

SUBMITTER: Men X

PROVIDER: S-EPMC7539889 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Pathogen identification in culture-negative cerebrospinal fluid specimens of patients with purulent meningitis using next-generation sequencing technology.

Men Xin X Zhao Guige G Zhao Wei W Zhang Jianfei J Yang Yuan Y Chen Chao C

International journal of clinical and experimental pathology 20200901 9

Antimicrobial therapy necessitates fast and accurate detection of pathogens in purulent meningitis (PM) diagnosis. Although considered a gold standard, the traditional bacterial detection and identification methods based on routine bacterial culture are time-consuming and show low sensitivity and specificity. In order to reduce PM-related deaths and improve the treatment efficiency, we employed trace DNA extraction technology and combined it with Next-Generation Sequencing technology for bacteri ...[more]

PMID: 33042356

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Project description:BackgroundThe cerebrospinal fluid (CSF) culture is a widely used method for the diagnosis of meningitis, but its detection sensitivity is low. Several new methods have been developed for pathogen detection, including metagenomic next-generation sequencing (mNGS) and pathogen-targeted NGS (ptNGS). In this study, we aimed to evaluate the performance of ptNGS in pathogen detection in CSF.MethodsCSF specimens were acquired from 38 patients with meningitis who were diagnosed at Xuanwu Hospital, Capital Medical University between October 2020 and February 2021. DNA was extracted from the CSF samples, and pathogens were identified using both ptNGS and mNGS. SPSS 22.0 software was used to compare the pathogen detection performance of ptNGS and mNGS in CSF.ResultsAmong the 38 patients with meningitis, 14 had a non-infectious disease (NID) and 24 had an infectious disease (ID). Of the 38 samples, both ptNGS and mNGS detected 9 (23.7%) positive samples, and 12 (31.6%) negative samples. Thirteen (34.2%) samples were detected to be positive by ptNGS only, and 4 (10.5%) were detected to be positive by mNGS only. The positivity rate detected by ptNGS for the ID group was higher than that detected by mNGS (P=0.080), and the positivity rates detected by ptNGS and mNGS for the NID group were comparable. The positive predictive value (PPV) and negative predictive value (NPV) of diagnosing an ID by ptNGS were 77.3% and 56.3%, respectively. While, the PPV and NPV of diagnosing an ID by mNGS were 76.9% and 44.0%, respectively. ptNGS increased the sensitivity rate by approximately 70%. The sensitivity rate of ptNGS was higher than that of mNGS (70.8% vs. 41.7%), while the specificity rate of mNGS was higher than that of ptNGS (78.6% vs. 64.3%). Additionally, ptNGS required a shorter time for pathogen diagnosis (15 vs. 24 hrs) and had lower costs than mNGS.ConclusionsptNGS has a number of advantages over mNGS, including its sensitivity, timeliness, and economy, all factors that are important considerations in clinical use.

Project description:PurposeThe 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.MethodsWe 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.ResultsTwenty 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.ConclusionOur 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.

Dataset Information

Pathogen identification in culture-negative cerebrospinal fluid specimens of patients with purulent meningitis using next-generation sequencing technology.

Publications

Pathogen identification in culture-negative cerebrospinal fluid specimens of patients with purulent meningitis using next-generation sequencing technology.

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