Literature DB >> 33310532

Next-generation Sequencing of Cerebrospinal Fluid for the Diagnosis of Unexplained Central Nervous System Infections.

Zhen Yu Li1, Dan Dang1, Hui Wu2.   

Abstract

BACKGROUND: Central nervous system infections cause substantial morbidity and mortality in pediatric patients. However, in approximately half of the clinical cases, the etiology is unidentified. As an unbiased molecular diagnostic technology, next-generation sequencing is gradually being applied to investigate central nervous system infections. This review summarizes and critiques the literature on this new technology for etiologic identification of unexplained central nervous system infections in pediatric patients and discusses the future prospects for development of this technology in pediatrics.
METHODS: A comprehensive PubMed search was conducted of articles published from January 1, 2008, to June 26, 2020 in order to retrieve all available studies on this topic. Other relevant articles were identified from recent reviews and the bibliographies of the retrieved full-text articles.
RESULTS: Among the 441 studies retrieved, 26 pediatric studies, comprising 15 case reports and 11 case series, used next-generation sequencing as a diagnostic tool. In these 26 studies, next-generation sequencing was performed on cerebrospinal fluid samples from 529 pediatric patients, and potential causal pathogens were identified in 22.1% of the cases.
CONCLUSION: There is increasing evidence that next-generation sequencing can play a role in identifying the causes of unexplained encephalitis, meningoencephalitis, and meningitis in pediatric patients, although the diagnostic value of next-generation sequencing is difficult to quantify. There is an increasing need for close collaboration between laboratory scientists and clinicians. We believe that further clinical studies should be performed to evaluate the performance of next-generation sequencing for individual targets and in high-risk populations.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Central nervous system; Diagnosis; Encephalitis; Etiology; Meningitis; Meningoencephalitis; Next-generation sequencing

Mesh:

Year:  2020        PMID: 33310532     DOI: 10.1016/j.pediatrneurol.2020.10.011

Source DB:  PubMed          Journal:  Pediatr Neurol        ISSN: 0887-8994            Impact factor:   3.372


  5 in total

1.  Trends and Developments in the Detection of Pathogens in Central Nervous System Infections: A Bibliometric Study.

Authors:  Yangyang Guo; Yanlin Yang; Ming Xu; Guangzhi Shi; Jianxin Zhou; Jindong Zhang; Hongliang Li
Journal:  Front Cell Infect Microbiol       Date:  2022-04-29       Impact factor: 6.073

2.  Combining Metagenomic Sequencing With Whole Exome Sequencing to Optimize Clinical Strategies in Neonates With a Suspected Central Nervous System Infection.

Authors:  Mengmeng Ge; Mingyu Gan; Kai Yan; Feifan Xiao; Lin Yang; Bingbing Wu; Mili Xiao; Yin Ba; Rong Zhang; Jin Wang; Guoqiang Cheng; Laishuan Wang; Yun Cao; Wenhao Zhou; Liyuan Hu
Journal:  Front Cell Infect Microbiol       Date:  2021-06-18       Impact factor: 5.293

3.  Pediatric sepsis cases diagnosed with group B streptococcal meningitis using next-generation sequencing: a report of two cases.

Authors:  Kazuhiro Horiba; Michio Suzuki; Nobuyuki Tetsuka; Yoshihiko Kawano; Makoto Yamaguchi; Toshihiko Okumura; Takako Suzuki; Yuka Torii; Jun-Ichi Kawada; Makoto Morita; Shinya Hara; Tomoo Ogi; Yoshinori Ito
Journal:  BMC Infect Dis       Date:  2021-06-05       Impact factor: 3.090

4.  Promising candidate cerebrospinal fluid biomarkers of seizure disorder, infection, inflammation, tumor, and traumatic brain injury in pediatric patients.

Authors:  Seh Hyun Kim; Soo Ahn Chae
Journal:  Clin Exp Pediatr       Date:  2021-08-23

5.  Polymicrobial Anaerobic Meningitis Detected by Next-Generation Sequencing: Case Report and Review of the Literature.

Authors:  Xiaoqiang Li; Hui Du; Zhibin Song; Hui Wang; Xiong Long
Journal:  Front Med (Lausanne)       Date:  2022-02-22
  5 in total

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