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Author Notes:

Anne Piantadosi, anne.piantadosi@emory.edu

Shibani S. Mukerji, smukerji@partners.org

We are grateful to the patients, their families, and all medical staff involved in their care. We thank Graham McGrath for laboratory support and Janice Stefanski and the microbiology staff at MGH for facilitating sample acquisition.

P.S. is a cofounder and consultant for Sherlock Biosciences, is a board member of Danaher Corporation, and has equity in both. A.A.A. is a medical director at Karius.

A.P., study design, IRB site principal investigator, data collection, figures, data analyses, data interpretation, and writing. S.S.M., study design, IRB principal investigator, data collection, figures, data analyses, data interpretation, and writing. S.Y., figures, computational analyses, data interpretation, and writing. M.J.L., data collection, figures, and literature search. L.M.F., data collection. D.P., data interpretation and data analyses. G.A., data collection. J.L., study design, data collection, and data interpretation. S.K., data collection and data interpretation. I.H.S., figures, data interpretation, and writing. A.A.A., data interpretation and writing. R.G., study design and data analysis. V.G., data collection. B.O., data collection and data interpretation. K.C.C., figures. J.M.T., writing. C.M.K., data analysis and data interpretation. E.R., study design and data interpretation. M.P.F., study design and data interpretation. M.B.G., study design and data interpretation. T.A.C., study design, data interpretation, and writing. P.S., study design, data interpretation, and writing. A.P., S.S.M., and S.Y. had full access to all the data in the study and final responsibility for the decision to submit for publication.

Subjects:

Research Funding:

A.P. was supported by Harvard Catalyst KL2, National Institute of Allergy and Infectious Diseases at the National Institutes of Health (grant number K08AI139348), and the Harvard University Eleanor and Miles Shore Fellowship Program. This work was supported by a gift from the Broad Institute. S.S.M. was supported by the National Institute of Mental Health at the National Institutes of Health (grant number K23MH115812), a developmental award from the Harvard University Center for AIDS Research (HU CFAR NIH/NIAID fund 5P30AI060354-16), and the Harvard University Eleanor and Miles Shore Fellowship Program. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Microbiology
  • encephalitis
  • metagenomic sequencing
  • next-generation sequencing (NGS)
  • meningitis
  • virus
  • hybrid capture
  • methylated DNA depletion
  • WEST-NILE VIRUS
  • IMMUNOCOMPETENT ADULT
  • EHRLICHIA-CHAFFEENSIS
  • CEREBROSPINAL-FLUID
  • UNITED-STATES
  • DIAGNOSIS
  • ETIOLOGIES
  • SEARCH
  • HHV-7
  • DNA

Enhanced Virus Detection and Metagenomic Sequencing in Patients with Meningitis and Encephalitis

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Journal Title:

MBIO

Volume:

Volume 12, Number 4

Publisher:

, Pages e0114321-e0114321

Type of Work:

Article | Final Publisher PDF

Abstract:

Meningitis and encephalitis are leading causes of central nervous system (CNS) disease and often result in severe neurological compromise or death. Traditional diagnostic workflows largely rely on pathogen-specific tests, sometimes over days to weeks, whereas metagenomic next-generation sequencing (mNGS) profiles all nucleic acid in a sample. In this single-center, prospective study, 68 hospitalized patients with known (n = 44) or suspected (n = 24) CNS infections underwent mNGS from RNA and DNA to identify potential pathogens and also targeted sequencing of viruses using hybrid capture. Using a computational metagenomic classification pipeline based on KrakenUniq and BLAST, we detected pathogen nucleic acid in cerebrospinal fluid (CSF) from 22 subjects, 3 of whom had no clinical diagnosis by routine workup. Among subjects diagnosed with infection by serology and/or peripheral samples, we demonstrated the utility of mNGS to detect pathogen nucleic acid in CSF, importantly for the Ixodes scapularis tick-borne pathogens Powassan virus, Borrelia burgdorferi, and Anaplasma phagocytophilum. We also evaluated two methods to enhance the detection of viral nucleic acid, hybrid capture and methylated DNA depletion. Hybrid capture nearly universally increased viral read recovery. Although results for methylated DNA depletion were mixed, it allowed the detection of varicella-zoster virus DNA in two samples that were negative by standard mNGS. Overall, mNGS is a promising approach that can test for multiple pathogens simultaneously, with efficacy similar to that of pathogen-specific tests, and can uncover geographically relevant infectious CNS disease, such as tick-borne infections in New England. With further laboratory and computational enhancements, mNGS may become a mainstay of workup for encephalitis and meningitis.

Copyright information:

© 2021 Piantadosi et al.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
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