Metagenomic detection of central nervous system infections missedby conventional testing

Community-acquired infectious meningoencephalitis is associated with high rates of mortality and morbidity, compounded by limited access to diagnostic resources. The current study assessed acute central nervous system (CNS) infections in patients with meningoencephalitis enrolled in a hospital-based diagnostic surveillance study in São Paulo, Brazil. Cerebrospinal fluid (CSF) was collected from 600 patients between March 2018 and November 2019 and initially screened for a broad range of pathogens according to a local diagnostic algorithm. Standard microbiological and molecular diagnostic methods were applied. Metagenomic sequencing was used as a complementary approach to investigating etiology in instances where no pathogen was initially identified. Standard testing identified infectious etiologies in 292 patients (48.6%), with 227 (77.7%) confirmed as viral infections, predominantly caused by enteroviruses (n = 144) and herpesviruses (n = 40). Nonviral agents were identified in 65 patients (22.3%). Metagenomic sequencing (mNGS) of 277 of 308 undiagnosed patients revealed several additional potential etiologies, including Parvovirus B19, Toxoplasma gondii, Picobirnavirus, other enterovirus species and Vesivirus, the latter being associated with CNS infection for the first time. These findings underscore the complexity of CNS infections and highlight the potential of metagenomics to improve diagnostic accuracy, inform treatment strategies, and support efforts to address future pandemics.

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Publication Details

Journal
JCI Insight
Published
2025-05-20
DOI
https://doi.org/10.1172/jci.insight.189295
Citations
2
Primary Topic
Infectious Encephalopathies and Encephalitis
Type
article
Field-Weighted Citation Impact
2.79
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article

Metagenomic detection of central nervous system infections missedby conventional testing

Ana Carolina Soares de Oliveira, Maria Cássia Mendes-Corrêa, Carlos Senne, Mary A. Rodgers et al.
2 citations
JCI Insight
Infectious Encephalopathies and Encephalitis
2.79
article

Metagenomic detection of central nervous system infections missedby conventional testing

Ana Carolina Soares de Oliveira, Maria Cássia Mendes-Corrêa, Carlos Senne, Mary A. Rodgers, Tânia Regina Tozetto‐Mendoza, Heuder Gustavo Oliveira Paião, Mateus Vailant Thomazella, Esper Georges Kallas, Renán Barros Domingues, Catarina Silveira, Steven S. Witkin, Michael G. Berg, Gislaine Ribeiro Pereira, Marina Farrel Côrtes, Hélio Rodrigues Gomes, Layla Honorato, María Laura Matos, Noely Evangelista Ferreira, Antônio Charlys da Costa, Gavin Cloherty
article en
2 citations

Abstract

Community-acquired infectious meningoencephalitis is associated with high rates of mortality and morbidity, compounded by limited access to diagnostic resources. The current study assessed acute central nervous system (CNS) infections in patients with meningoencephalitis enrolled in a hospital-based diagnostic surveillance study in São Paulo, Brazil. Cerebrospinal fluid (CSF) was collected from 600 patients between March 2018 and November 2019 and initially screened for a broad range of pathogens according to a local diagnostic algorithm. Standard microbiological and molecular diagnostic methods were applied. Metagenomic sequencing was used as a complementary approach to investigating etiology in instances where no pathogen was initially identified. Standard testing identified infectious etiologies in 292 patients (48.6%), with 227 (77.7%) confirmed as viral infections, predominantly caused by enteroviruses (n = 144) and herpesviruses (n = 40). Nonviral agents were identified in 65 patients (22.3%). Metagenomic sequencing (mNGS) of 277 of 308 undiagnosed patients revealed several additional potential etiologies, including Parvovirus B19, Toxoplasma gondii, Picobirnavirus, other enterovirus species and Vesivirus, the latter being associated with CNS infection for the first time. These findings underscore the complexity of CNS infections and highlight the potential of metagenomics to improve diagnostic accuracy, inform treatment strategies, and support efforts to address future pandemics.

JCI InsightVol. 10(13)
Universidade de Brasília (BR), Universidade Municipal de São Caetano do Sul (BR), Cornell University (US), Instituto de Medicina Tropical (PY), Abbott Fund (US), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR), Weill Cornell Medicine (US)
Openalex Percentile: Top 11%
Infectious Encephalopathies and Encephalitis
2.79
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