Literature DB >> 33206020

Cerebrospinal Fluid Analysis for Viruses by Metagenomic Next-Generation Sequencing in Pediatric Encephalitis: Not Yet Ready for Prime Time?

Guliz Erdem1, Irina Kaptsan2, Himanshu Sharma2, Arvind Kumar2, Shawn C Aylward3, Amit Kapoor2, Masako Shimamura1,2.   

Abstract

BACKGROUND: Metagenomic next-generation sequencing offers an unbiased approach to identifying viral pathogens in cerebrospinal fluid of patients with meningoencephalitis of unknown etiology.
METHODS: In an 11-month case series, we investigated the use of cerebrospinal fluid metagenomic next-generation sequencing to diagnose viral infections among pediatric hospitalized patients presenting with encephalitis or meningoencephalitis of unknown etiology. Cerebrospinal fluid from patients with known enterovirus meningitis were included as positive controls. Cerebrospinal fluid from patients with primary intracranial hypertension were included to serve as controls without known infections.
RESULTS: Cerebrospinal fluid metagenomic next-generation sequencing was performed for 37 patients. Among 27 patients with encephalitis or meningoencephalitis, 4 were later diagnosed with viral encephalitis, 6 had non-central nervous system infections with central nervous system manifestations, 6 had no positive diagnostic tests, and 11 were found to have a noninfectious diagnosis. Metagenomic next-generation sequencing identified West Nile virus (WNV) in the cerebrospinal fluid of 1 immunocompromised patient. Among the 4 patients with known enterovirus meningitis, metagenomic next-generation sequencing correctly identified enteroviruses and characterized the viral genotype. No viral sequences were detected in the cerebrospinal fluid of patients with primary intracranial hypertension. Metagenomic next-generation sequencing also identified sequences of nonpathogenic torque Teno virus in cerebrospinal fluid specimens from 13 patients.
CONCLUSIONS: Our results showed viral detection by cerebrospinal fluid metagenomic next-generation sequencing only in 1 immunocompromised patient and did not offer a diagnostic advantage over conventional testing. Viral phylogenetic characterization by metagenomic next-generation sequencing could be used in epidemiologic investigations of some viral pathogens, such as enteroviruses. The finding of torque Teno viruses in cerebrospinal fluid by metagenomic next-generation sequencing is of unknown significance but may merit further exploration for a possible association with noninfectious central nervous system disorders.

Entities:  

Keywords:  cerebrospinal fluid; encephalitis; next-generation sequencing; pediatric; torque Teno virus; virus detection

Mesh:

Year:  2020        PMID: 33206020     DOI: 10.1177/0883073820972232

Source DB:  PubMed          Journal:  J Child Neurol        ISSN: 0883-0738            Impact factor:   1.987


  5 in total

Review 1.  Direct Metagenomic Diagnosis of Community-Acquired Meningitis: State of the Art.

Authors:  Madjid Morsli; Jean Philippe Lavigne; Michel Drancourt
Journal:  Front Microbiol       Date:  2022-07-05       Impact factor: 6.064

Review 2.  Metagenomic Next-Generation Sequencing for Diagnosis of Pediatric Meningitis and Encephalitis: A Review.

Authors:  Kelly Graff; Samuel R Dominguez; Kevin Messacar
Journal:  J Pediatric Infect Dis Soc       Date:  2021-12-24       Impact factor: 3.164

3.  Metagenomic Next-Generation Sequencing Reveals the Profile of Viral Infections in Kidney Transplant Recipients During the COVID-19 Pandemic.

Authors:  Xiangyong Tian; Wenjing Duan; Xiulei Zhang; Xiaoqiang Wu; Chan Zhang; Zhiwei Wang; Guanghui Cao; Yue Gu; Fengmin Shao; Tianzhong Yan
Journal:  Front Public Health       Date:  2022-07-11

Review 4.  Etiology, Clinical Phenotypes, Epidemiological Correlates, Laboratory Biomarkers and Diagnostic Challenges of Pediatric Viral Meningitis: Descriptive Review.

Authors:  Saleh M Al-Qahtani; Ayed A Shati; Youssef A Alqahtani; Abdelwahid Saeed Ali
Journal:  Front Pediatr       Date:  2022-06-16       Impact factor: 3.569

5.  Metagenomics next-generation sequencing for the diagnosis of central nervous system infection: A systematic review and meta-analysis.

Authors:  Chunrun Qu; Yu Chen; Yuzhen Ouyang; Weicheng Huang; Fangkun Liu; Luzhe Yan; Ruoyu Lu; Yu Zeng; Zhixiong Liu
Journal:  Front Neurol       Date:  2022-09-20       Impact factor: 4.086

  5 in total

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