Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Metagenomic detection of central nervous system infections missedby conventional testing
Noely Evangelista Ferreira, Michael G. Berg, Antonio C. da Costa, Mary A. Rodgers, Esper G. Kallas, Cassia G. Terrasani Silveira, Mateus Vailant Thomazella, Ana Carolina Soares de Oliveira, Layla Honorato, Heuder G.O. Paião, Renan Barros Domingues, Carlos Senne, Marina F. Côrtes, Tania R. Tozetto-Mendoza, Hélio R. Gomes, Maria Laura Mariano Matos, Geovani de Oliveira Ribeiro, Steven S. Witkin, Gavin A. Cloherty, Maria Cassia Mendes-Correa
Noely Evangelista Ferreira, Michael G. Berg, Antonio C. da Costa, Mary A. Rodgers, Esper G. Kallas, Cassia G. Terrasani Silveira, Mateus Vailant Thomazella, Ana Carolina Soares de Oliveira, Layla Honorato, Heuder G.O. Paião, Renan Barros Domingues, Carlos Senne, Marina F. Côrtes, Tania R. Tozetto-Mendoza, Hélio R. Gomes, Maria Laura Mariano Matos, Geovani de Oliveira Ribeiro, Steven S. Witkin, Gavin A. Cloherty, Maria Cassia Mendes-Correa
View: Text | PDF
Clinical Research and Public Health Clinical Research Infectious disease

Metagenomic detection of central nervous system infections missedby conventional testing

  • Text
  • PDF
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.

Authors

Noely Evangelista Ferreira, Michael G. Berg, Antonio C. da Costa, Mary A. Rodgers, Esper G. Kallas, Cassia G. Terrasani Silveira, Mateus Vailant Thomazella, Ana Carolina Soares de Oliveira, Layla Honorato, Heuder G.O. Paião, Renan Barros Domingues, Carlos Senne, Marina F. Côrtes, Tania R. Tozetto-Mendoza, Hélio R. Gomes, Maria Laura Mariano Matos, Geovani de Oliveira Ribeiro, Steven S. Witkin, Gavin A. Cloherty, Maria Cassia Mendes-Correa

×

Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 3,097 422
PDF 562 159
Figure 687 7
Table 378 0
Supplemental data 466 4
Citation downloads 388 0
Totals 5,578 592
Total Views 6,170

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts