Literature DB >> 32220712

Next-generation sequencing of cerebrospinal fluid for the diagnosis of neurocysticercosis.

Xiaofei Fei1, Chaoyang Li1, Yun Zhang1, Hongya Zhang1, Xuewu Liu1, Xinchao Ji1, Yajun Shi1, Na Liu1, Mengli Wu1, Fang Du1, Yining Yang1, Wen Dai1, TingTing Liu1, Ying He1, Ting Bian1, Huimin Zhou1, Xingyue An1, Zheng Cai1, Jian Shi2, Guodong Feng3, Ming Shi4, Gang Zhao5.   

Abstract

OBJECTIVE: Neurocysticercosis (NCC) is the most common parasitic disease of the human central nervous system (CNS). However, a diagnosis of NCC may be hard to make if the specific clinical and routine neuroimaging manifestations are lacking, which hinders physicians from considering further immunodiagnostic tests. PATIENTS AND METHODS: Seven patients presented with fever, headache, nausea, cognitive decline, confusion, or progressive leg weakness. There were no pathogens found in the cerebrospinal fluid (CSF); patients were clinically suspected of meningoencephalitis or cerebrovascular disease. To clearly determine the etiology, next generation sequencing (NGS) of the CSF was used to detect pathogens in these seven patients.
RESULTS: Taenia solium DNA sequences were detected in the seven patients, but not in the non-template controls (NTCs) or the other patients with clinically suspected CNS infections. Based on the patients' medical data and the diagnostic criteria for NCC, seven patients were diagnosed with probable NCC. The unique reads aligning to Taenia solium ranged from 6 to 261064, with genomic coverage ranging from 0.0003% to 14.8079%. The number of unique reads and genomic coverage dropped in three of the seven patients after antiparasitic treatment, consistent with the relief of symptoms.
CONCLUSION: This study showed that NGS of the CSF might be an auxiliary diagnostic method for NCC patients. Larger studies are required.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cerebrospinal fluid; Neurocysticercosis; Next-generation sequencing

Mesh:

Substances:

Year:  2020        PMID: 32220712     DOI: 10.1016/j.clineuro.2020.105752

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  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

Review 2.  Evaluating Infectious, Neoplastic, Immunological, and Degenerative Diseases of the Central Nervous System with Cerebrospinal Fluid-Based Next-Generation Sequencing.

Authors:  Konstantinos I Tsamis; Hercules Sakkas; Alexandros Giannakis; Han Suk Ryu; Constantina Gartzonika; Ilias P Nikas
Journal:  Mol Diagn Ther       Date:  2021-03-01       Impact factor: 4.074

3.  Metagenomic next generation sequencing for the diagnosis of tuberculosis meningitis: A systematic review and meta-analysis.

Authors:  Guocan Yu; Wuchen Zhao; Yanqin Shen; Pengfei Zhu; Hong Zheng
Journal:  PLoS One       Date:  2020-12-01       Impact factor: 3.240

4.  Metagenomic Next-Generation Sequencing in the Diagnosis of Infectious Fever During Myelosuppression Among Pediatric Patients with Hematological and Neoplastic Diseases.

Authors:  Yang Fu; Xiaohua Zhu; Ping Cao; Chen Shen; Xiaowen Qian; Hui Miao; Yi Yu; Hongsheng Wang; Xiaowen Zhai
Journal:  Infect Drug Resist       Date:  2022-09-13       Impact factor: 4.177

5.  Next-generation sequencing combined with serological tests based pathogen analysis for a neurocysticercosis patient with a 20-year history:a case report.

Authors:  Bin Chen; Zheng Chen; Yi-Shu Yang; Gui-Lan Cai; Xiao-Jiao Xu; Hong-Zhi Guan; Hai-Tao Ren; Hou-Zhen Tuo
Journal:  BMC Neurol       Date:  2021-06-24       Impact factor: 2.474

  5 in total

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