The clinical utility of metagenomic next-generation sequencing for the diagnosis of central nervous system infectious diseases.

Central nervous system (CNS) cerebrospinal fluid (CSF) infectious diseases metagenomic next-generation sequencing (mNGS) pathogens

Journal

Neurological research
ISSN: 1743-1328
Titre abrégé: Neurol Res
Pays: England
ID NLM: 7905298

Informations de publication

Date de publication:
Oct 2023
Historique:
medline: 8 9 2023
pubmed: 24 8 2023
entrez: 24 8 2023
Statut: ppublish

Résumé

To evaluate the clinical utility of metagenomic next-generation sequencing (mNGS) for the diagnosis of central nervous system infections (CNSI). Cerebrospinal fluid (CSF) from 54 patients who were high-level clinical suspicion of CNSI was collected and sent for mNGS and conventional tests from January 2019 to March 2022. Twenty out of 54 patients were diagnosed with CNSI and 34 non-CNSI. Among the 34 non-CNSI, one was false positive by mNGS. Among the 20 CNSI, 11 had presumed viral encephalitis and/or meningitis, 5 had presumed bacterial meningitis, 2 had presumed TMB, 1 had Crytococcus meningitis and 1 had neurosyphilis. The sensitivity of viral encephalitis and/or meningitis was 0.73 (8/11); 10 virus were detected; 9/10 was dsDNA; 1/10 was ssRNA. SSRN ranged from 1 to 13. The accuracy rate was 0.4, the accuracy rate was positively correlated with SSRN ( mNGS is a detection means with high sensitivity, wide coverage and strong timeliness, which can help clinicians to identify the pathogen diagnosis quickly, conduct targeted anti-infection treatment early and reduce antibiotic abuse. The pathogen which causing low CSF Glucose, low CSF Chloride or meninges infections was more likely to be detected by mNGS. It may be related to growth and structural characteristics of the pathogen and blood-brain barrier damage.

Sections du résumé

BACKGROUND UNASSIGNED
To evaluate the clinical utility of metagenomic next-generation sequencing (mNGS) for the diagnosis of central nervous system infections (CNSI).
METHODS UNASSIGNED
Cerebrospinal fluid (CSF) from 54 patients who were high-level clinical suspicion of CNSI was collected and sent for mNGS and conventional tests from January 2019 to March 2022.
RESULTS UNASSIGNED
Twenty out of 54 patients were diagnosed with CNSI and 34 non-CNSI. Among the 34 non-CNSI, one was false positive by mNGS. Among the 20 CNSI, 11 had presumed viral encephalitis and/or meningitis, 5 had presumed bacterial meningitis, 2 had presumed TMB, 1 had Crytococcus meningitis and 1 had neurosyphilis. The sensitivity of viral encephalitis and/or meningitis was 0.73 (8/11); 10 virus were detected; 9/10 was dsDNA; 1/10 was ssRNA. SSRN ranged from 1 to 13. The accuracy rate was 0.4, the accuracy rate was positively correlated with SSRN (
CONCLUSION UNASSIGNED
mNGS is a detection means with high sensitivity, wide coverage and strong timeliness, which can help clinicians to identify the pathogen diagnosis quickly, conduct targeted anti-infection treatment early and reduce antibiotic abuse. The pathogen which causing low CSF Glucose, low CSF Chloride or meninges infections was more likely to be detected by mNGS. It may be related to growth and structural characteristics of the pathogen and blood-brain barrier damage.

Identifiants

pubmed: 37615407
doi: 10.1080/01616412.2023.2247299
doi:

Substances chimiques

Chlorides 0
Glucose IY9XDZ35W2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

919-925

Auteurs

Xiaoying Pan (X)

Department of Neurology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.

Yuefeng Zhang (Y)

Department of Neurology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.

Guohua Chen (G)

Department of Neurology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.

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Classifications MeSH