We anticipate that this document, representing a synthesis of our discussions and supported by literature, will serve as a practical aid to clinicians evaluating patients with suspected encephalitis and will identify key areas and approaches to advance our knowledge of encephalitis.
SUMMARY A 14-year-old boy with severe combined immunodeficiency presented three times to a medical facility over a period of 4 months with fever and headache that progressed to hydrocephalus and status epilepticus necessitating a medically induced coma. Diagnostic workup including brain biopsy was unrevealing. Unbiased next-generation sequencing of the cerebrospinal fluid identified 475 of 3,063,784 sequence reads (0.016%) corresponding to leptospira infection. Clinical assays for leptospirosis were negative. Targeted antimicrobial agents were administered, and the patient was discharged home 32 days later with a status close to his premorbid condition. Polymerase-chain-reaction (PCR) and serologic testing at the Centers for Disease Control and Prevention (CDC) subsequently confirmed evidence of Leptospira santarosai infection.
BACKGROUND Metagenomic next-generation sequencing (NGS) of cerebrospinal fluid (CSF) has the potential to identify a broad range of pathogens in a single test. METHODS In a 1-year, multicenter, prospective study, we investigated the usefulness of metagenomic NGS of CSF for the diagnosis of infectious meningitis and encephalitis in hospitalized patients. All positive tests for pathogens on metagenomic NGS were confirmed by orthogonal laboratory testing. Physician feedback was elicited by teleconferences with a clinical microbial sequencing board and by surveys. Clinical effect was evaluated by retrospective chart review. RESULTS We enrolled 204 pediatric and adult patients at eight hospitals. Patients were severely ill: 48.5% had been admitted to the intensive care unit, and the 30-day mortality among all study patients was 11.3%. A total of 58 infections of the nervous system were diagnosed in 57 patients (27.9%). Among these 58 infections, metagenomic NGS identified 13 (22%) that were not identified by clinical testing at the source hospital. Among the remaining 45 infections (78%), metagenomic NGS made concurrent diagnoses in 19. Of the 26 infections not identified by metagenomic NGS, 11 were diagnosed by serologic testing only, 7 were diagnosed from tissue samples other than CSF, and 8 were negative on metagenomic NGS owing to low titers of pathogens in CSF. A total of 8 of 13 diagnoses made solely by metagenomic NGS had a likely clinical effect, with 7 of 13 guiding treatment. CONCLUSIONS Routine microbiologic testing is often insufficient to detect all neuroinvasive pathogens. In this study, metagenomic NGS of CSF obtained from patients with meningitis or encephalitis improved diagnosis of neurologic infections and provided actionable information in some cases. (Funded by the National Institutes of Health and others; PDAID ClinicalTrials.gov number, .)
Multiple sclerosis (MS) is a heterogenous autoimmune disease in which autoreactive lymphocytes attack the myelin sheath of the central nervous system (CNS). B lymphocytes in the cerebrospinal uid (CSF) of MS patients contribute to in ammation and secrete oligoclonal immunoglobulins. Epstein-Barr virus (EBV) infection has been linked to MS epidemiologically, but its pathological role remains unclear. Here we demonstrate high-a nity molecular mimicry between the EBV transcription factor EBNA1 and the CNS protein GlialCAM, and provide structural and in-vivo functional evidence for its relevance. A cross-reactive CSF-derived antibody was initially identi ed by single-cell sequencing of the paired-chain B cell repertoire of MS blood and CSF, followed by protein microarray-based testing of recombinantly expressed CSFderived antibodies against MS-associated viruses. Sequence analysis, a nity measurements, and the crystal structure of the EBNA1-peptide epitope in complex with the autoreactive Fab fragment allowed for tracking the development of the naïve EBNA1-restricted antibody to a mature EBNA1/GlialCAM crossreactive antibody. Molecular mimicry is facilitated by a post-translational modi cation of GlialCAM. EBNA1 immunization exacerbates the mouse model of MS and anti-EBNA1/GlialCAM antibodies are prevalent in MS patients. Our results provide a mechanistic link for the association between MS and EBV, and could guide the development of novel MS therapies. Main TextThe presence of oligoclonal bands (OCB) in cerebrospinal uid (CSF) and the e cacy of B cell depleting therapies emphasize the importance of B cells in the pathobiology of multiple sclerosis (MS) 2 . Anti-viral antibodies against mumps, measles, varicella-zoster, and Epstein-Barr Virus (EBV) are often present in MS 4,5 , but their relevance is unclear. Anti-EBV antibody titers in over 99% of MS patients provide evidence for an epidemiological link between MS and EBV 6 . Symptomatic infectious mononucleosis during EBV infection increases risk for MS 7 . Molecular mimicry between virus and self-antigens is a potential mechanism that might explain this association 8 . Antibodies against certain EBV nuclear antigen 1 (EBNA1) regions have been found in MS patients, including the region AA365-426 5,9-12 , which we describe here in our identi cation of molecular mimicry between EBNA1 and the glial cellular adhesion molecule GlialCAM. The potential signi cance of this mimicry in the pathophysiology of MS is described in detail.The B cell repertoire in MS CSF plasmablasts is highly clonal CSF and blood samples were obtained from MS patients during the onset of disease (clinically isolated syndrome, n=5) or an acute episode of relapsing-remitting MS (n=4). Patients with a CSF pleocytosis of >10 cells/µl were selected (Extended Data Table 1, Supplementary Discussion). Single B cells were sorted by ow cytometry (Extended Data Fig. 1a,b). Characteristic phenotypic differences of B cells in blood and CSF were observed 13,14 , including (i) high plasmablast (PB) counts in CS...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.