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1
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Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Kizer K, Augusto DG, Tubati A, Gomez R, Fouassier C, Gerungan C, Caspar CM, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Sabatino JJ, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BAC, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR. An autoantibody signature predictive for multiple sclerosis. Nat Med 2024; 30:1300-1308. [PMID: 38641750 DOI: 10.1038/s41591-024-02938-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 03/21/2024] [Indexed: 04/21/2024]
Abstract
Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. In this study, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster in approximately 10% of PwMS who share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active preclinical period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically or radiologically isolated neuroinflammatory syndromes.
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Affiliation(s)
- Colin R Zamecnik
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Gavin M Sowa
- University of California, San Francisco School of Medicine, San Francisco, CA, USA
- Department of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL, USA
| | - Ahmed Abdelhak
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Ravi Dandekar
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca D Bair
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kristen J Wade
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Christopher M Bartley
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kerry Kizer
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Danillo G Augusto
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Asritha Tubati
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Refujia Gomez
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Camille Fouassier
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chloe Gerungan
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Colette M Caspar
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jessica Alexander
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Anne E Wapniarski
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rita P Loudermilk
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Erica L Eggers
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kelsey C Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Kirtana Ananth
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Nora Jabassini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sabrina A Mann
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Nicholas R Ragan
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Adam Santaniello
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Roland G Henry
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sergio E Baranzini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Scott S Zamvil
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph J Sabatino
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Riley M Bove
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chu-Yueh Guo
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey M Gelfand
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Richard Cuneo
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - H-Christian von Büdingen
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jorge R Oksenberg
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce A C Cree
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jill A Hollenbach
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Ari J Green
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Stephen L Hauser
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mitchell T Wallin
- Department of Veterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC, USA
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Michael R Wilson
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
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Boruah AP, Kroopnick A, Thakkar R, Wapniarski AE, Kim C, Dugue R, Harrigan E, Lipkin WI, Mishra N, Thakur KT. Application of VirCapSeq-VERT and BacCapSeq in the diagnosis of presumed and definitive neuroinfectious diseases. J Neurovirol 2023; 29:678-691. [PMID: 37851324 DOI: 10.1007/s13365-023-01172-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 03/09/2023] [Accepted: 08/28/2023] [Indexed: 10/19/2023]
Abstract
Unbiased high-throughput sequencing (HTS) has enabled new insights into the diversity of agents implicated in central nervous system (CNS) infections. The addition of positive selection capture methods to HTS has enhanced the sensitivity while reducing sequencing costs and the complexity of bioinformatic analysis. Here we report the use of virus capture-based sequencing for vertebrate viruses (VirCapSeq-VERT) and bacterial capture sequencing (BacCapSeq) in investigating CNS infections. Thirty-four samples were categorized: (1) patients with definitive CNS infection by routine testing; (2) patients meeting clinically the Brighton criteria (BC) for meningoencephalitis; (3) patients with presumptive infectious etiology highest on the differential. RNA extracts from cerebrospinal fluid (CSF) were used for VirCapSeq-VERT, and DNA extracts were used for BacCapSeq analysis. Among 8 samples from known CNS infections in group 1, VirCapSeq and BacCapSeq confirmed 3 expected diagnoses (42.8%), were negative in 2 (25%), yielded an alternative result in 1 (11.1%), and did not detect 2 expected negative pathogens. The confirmed cases identified HHV-6, HSV-2, and VZV while the negative samples included JCV and HSV-2. In groups 2 and 3, 11/26 samples (42%) were positive for at least one pathogen; however, 27% of the total samples (7/26) were positive for commensal organisms. No microbial nucleic acids were detected in negative control samples. HTS showed limited promise for pathogen identification in presumed CNS infectious diseases in our small sample. Before conducting larger-scale prospective studies to assess the clinical value of this novel technique, clinicians should understand the benefits and limitations of using this modality.
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Affiliation(s)
- Abhilasha P Boruah
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY, USA
- Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA
| | - Adam Kroopnick
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY, USA
| | - Riddhi Thakkar
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Anne E Wapniarski
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY, USA
| | - Carla Kim
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY, USA
| | - Rachelle Dugue
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY, USA
| | - Eileen Harrigan
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY, USA
| | - W Ian Lipkin
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Nischay Mishra
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Kiran T Thakur
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY, USA.
- Division of Critical Care and Hospitalist Neurology, Department of Neurology, Milstein Hospital, 177 Fort Washington Avenue, New York, NY, 8GS-39910032, USA.
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3
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Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Tubati A, Gomez R, Fouassier C, Gerungan C, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BAC, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR. A Predictive Autoantibody Signature in Multiple Sclerosis. medRxiv 2023:2023.05.01.23288943. [PMID: 37205595 PMCID: PMC10187343 DOI: 10.1101/2023.05.01.23288943] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. Here, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster of PwMS that share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active prodromal period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid (CSF) and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically- or radiologically-isolated neuroinflammatory syndromes.
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Affiliation(s)
- Colin R. Zamecnik
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Gavin M. Sowa
- Department of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL, USA
| | - Ahmed Abdelhak
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Ravi Dandekar
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Rebecca D. Bair
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kristen J. Wade
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Christopher M. Bartley
- UCSF Weill Institute for Neurosciences, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Asritha Tubati
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Refujia Gomez
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Camille Fouassier
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Chloe Gerungan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jessica Alexander
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Anne E. Wapniarski
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Rita P. Loudermilk
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Erica L. Eggers
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kelsey C. Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Kirtana Ananth
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Nora Jabassini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Sabrina A. Mann
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Nicholas R. Ragan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Adam Santaniello
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Roland G. Henry
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Sergio E. Baranzini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Scott S. Zamvil
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Riley M. Bove
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Chu-Yueh Guo
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jeffrey M. Gelfand
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Richard Cuneo
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - H.-Christian von Büdingen
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jorge R. Oksenberg
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Bruce AC Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jill A. Hollenbach
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA USA
| | - Ari J. Green
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Stephen L. Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Mitchell T. Wallin
- Veterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC and University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph L. DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Michael R. Wilson
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
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Boruah AP, Heydari K, Wapniarski AE, Caldwell M, Thakur KT. Neurological Considerations with COVID-19 Vaccinations. Semin Neurol 2023. [PMID: 37094803 DOI: 10.1055/s-0043-1767725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
The benefits of coronavirus disease 2019 (COVID-19) vaccination significantly outweigh its risks on a public health scale, and vaccination has been crucial in controlling the spread of SARS-CoV-2. Nonetheless, several reports of adverse events following vaccination have been published.To summarize reports to date and assess the extent and quality of evidence regarding possible serious adverse neurological events following COVID-19 vaccination, focusing on Food and Drug Administration (FDA)-approved vaccines in the United States (BNT162b2, mRNA-1273, and Ad26.COV2.S).A review of literature from five major electronic databases (PubMed, Medline, Embase, Cochrane Library, and Google Scholar) was conducted between December 1, 2020 and June 5, 2022. Articles included in the review were systematic reviews and meta-analysis, cohort studies, retrospective studies, case-control studies, case series, and reports. Editorials, letters, and animal studies were excluded, since these studies did not include quantitative data regarding adverse side effects of vaccination in human subjects.Of 149 total articles and 97 (65%) were case reports or case series. Three phase 3 trials initially conducted for BNT162b2, MRNA-1273, and Ad26.COV2.S were included in the analysis.The amount and quality of evidence for possible neurological adverse events in the context of FDA-approved COVID-19 vaccinations is overall low tier. The current body of evidence continues to suggest that COVID-19 vaccinations have a high neurological safety profile; however, the risks and benefits of vaccination must continue to be closely monitored.
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Affiliation(s)
- Abhilasha P Boruah
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
- Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Kimia Heydari
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
| | - Anne E Wapniarski
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
| | - Marissa Caldwell
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
| | - Kiran T Thakur
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital (CUIMC/NYP), New York, NY
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5
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Galardi MM, Sowa GM, Crockett CD, Rudock R, Smith AE, Shwe EE, San T, Linn K, Aye AMM, Ramachandran PS, Zia M, Wapniarski AE, Hawes IA, Hlaing CS, Kyu EH, Thair C, Mar YY, Nway N, Storch GA, Wylie KM, Wylie TN, Dalmau J, Wilson MR, Mar SS. Pathogen and Antibody Identification in Children with Encephalitis in Myanmar. Ann Neurol 2023; 93:615-628. [PMID: 36443898 DOI: 10.1002/ana.26560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 10/22/2022] [Accepted: 11/20/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Prospective studies of encephalitis are rare in regions where encephalitis is prevalent, such as low middle-income Southeast Asian countries. We compared the diagnostic yield of local and advanced tests in cases of pediatric encephalitis in Myanmar. METHODS Children with suspected subacute or acute encephalitis at Yangon Children's Hospital, Yangon, Myanmar, were prospectively recruited from 2016-2018. Cohort 1 (n = 65) had locally available diagnostic testing, whereas cohort 2 (n = 38) had advanced tests for autoantibodies (ie, cell-based assays, tissue immunostaining, studies with cultured neurons) and infections (ie, BioFire FilmArray multiplex Meningitis/Encephalitis multiplex PCR panel, metagenomic sequencing, and pan-viral serologic testing [VirScan] of cerebrospinal fluid). RESULTS A total of 20 cases (13 in cohort 1 and 7 in cohort 2) were found to have illnesses other than encephalitis. Of the 52 remaining cases in cohort 1, 43 (83%) had presumed infectious encephalitis, of which 2 cases (4%) had a confirmed infectious etiology. Nine cases (17%) had presumed autoimmune encephalitis. Of the 31 cases in cohort 2, 23 (74%) had presumed infectious encephalitis, of which one (3%) had confirmed infectious etiology using local tests only, whereas 8 (26%) had presumed autoimmune encephalitis. Advanced tests confirmed an additional 10 (32%) infections, 4 (13%) possible infections, and 5 (16%) cases of N-methyl-D-aspartate receptor antibody encephalitis. INTERPRETATION Pediatric encephalitis is prevalent in Myanmar, and advanced technologies increase identification of treatable infectious and autoimmune causes. Developing affordable advanced tests to use globally represents a high clinical and research priority to improve the diagnosis and prognosis of encephalitis. ANN NEUROL 2023;93:615-628.
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Affiliation(s)
- Maria M Galardi
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Gavin M Sowa
- Department of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL
| | - Cameron D Crockett
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Robert Rudock
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Alyssa E Smith
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Ei E Shwe
- Department of Pathology, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Thidar San
- Department of Pathology, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Kyaw Linn
- Department of Pediatrics, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Aye Mya M Aye
- Department of Pediatrics, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Prashanth S Ramachandran
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Maham Zia
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Anne E Wapniarski
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Isobel A Hawes
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Chaw S Hlaing
- Department of Pediatrics, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Ei H Kyu
- Department of Pediatrics, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Cho Thair
- Department of Pediatrics, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Yi Y Mar
- Department of Pediatrics, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Nway Nway
- Department of Pediatrics, Yangon Children's Hospital, Institute of Medicine 1, Yangon, Myanmar
| | - Gregory A Storch
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO
| | - Kristine M Wylie
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO
| | - Todd N Wylie
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO
| | - Josep Dalmau
- Neuroimmunology Program, Institut d'Investigacions Biomèdiques August Pi i Sunyer Hospital Clínic, University of Barcelona, Barcelona, Spain.,Department of Neurology, University of Pennsylvania, Philadelphia, PA.,Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Michael R Wilson
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Soe S Mar
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
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6
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Bartley CM, Johns C, Ngo TT, Dandekar R, Loudermilk RL, Alvarenga BD, Hawes IA, Zamecnik CR, Zorn KC, Alexander JR, Wapniarski AE, DeRisi JL, Francisco C, Nash KB, Wietstock SO, Pleasure SJ, Wilson MR. Anti-SARS-CoV-2 and Autoantibody Profiles in the Cerebrospinal Fluid of 3 Teenaged Patients With COVID-19 and Subacute Neuropsychiatric Symptoms. JAMA Neurol 2021; 78:1503-1509. [PMID: 34694339 PMCID: PMC8546622 DOI: 10.1001/jamaneurol.2021.3821] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Question Are anti–SARS-CoV-2 or antineural antibodies present in the cerebrospinal fluid of pediatric patients with COVID-19 and neuropsychiatric symptoms? Findings In this case series of 3 pediatric patients with subacute neuropsychiatric impairment, 2 had intrathecal anti–SARS-CoV-2 antibodies as well as intrathecal antineural antibodies. Anti–transcription factor 4 (TCF4) autoantibodies in one patient who responded to immunotherapy were validated. Meaning A subset of pediatric patients with COVID-19 and subacute neuropsychiatric symptoms have intrathecal antineural autoantibodies, suggesting central nervous system autoimmunity in pediatric patients with COVID-19 and recent neuropsychiatric symptoms. Importance Neuropsychiatric manifestations of COVID-19 have been reported in the pediatric population. Objective To determine whether anti–SARS-CoV-2 and autoreactive antibodies are present in the cerebrospinal fluid (CSF) of pediatric patients with COVID-19 and subacute neuropsychiatric dysfunction. Design, Setting, and Participants This case series includes 3 patients with recent SARS-CoV-2 infection as confirmed by reverse transcriptase–polymerase chain reaction or IgG serology with recent exposure history who were hospitalized at the University of California, San Francisco Benioff Children’s Hospital and for whom a neurology consultation was requested over a 5-month period in 2020. During this period, 18 total children were hospitalized and tested positive for acute SARS-CoV-2 infection by reverse transcriptase–polymerase chain reaction or rapid antigen test. Main Outcomes and Measures Detection and characterization of CSF anti–SARS-CoV-2 IgG and antineural antibodies. Results Of 3 included teenaged patients, 2 patients had intrathecal anti–SARS-CoV-2 antibodies. CSF IgG from these 2 patients also indicated antineural autoantibodies on anatomic immunostaining. Autoantibodies targeting transcription factor 4 (TCF4) in 1 patient who appeared to have a robust response to immunotherapy were also validated. Conclusions and Relevance Pediatric patients with COVID-19 and prominent subacute neuropsychiatric symptoms, ranging from severe anxiety to delusional psychosis, may have anti–SARS-CoV-2 and antineural antibodies in their CSF and may respond to immunotherapy.
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Affiliation(s)
- Christopher M Bartley
- Hanna H. Gray Fellow, Howard Hughes Medical Institute, Chevy Chase, Maryland.,Weill Institute for Neurosciences, University of California, San Francisco.,Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Claire Johns
- Department of Pediatrics, University of California, San Francisco
| | - Thomas T Ngo
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Ravi Dandekar
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Rita L Loudermilk
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Bonny D Alvarenga
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Isobel A Hawes
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco.,Biomedical Sciences Graduate Program, University of California, San Francisco
| | - Colin R Zamecnik
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Kelsey C Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco
| | - Jessa R Alexander
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Anne E Wapniarski
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco.,Chan Zuckerberg Biohub, San Francisco, California
| | - Carla Francisco
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Kendall B Nash
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Pediatrics, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Sharon O Wietstock
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Samuel J Pleasure
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Michael R Wilson
- Weill Institute for Neurosciences, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
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Song E, Bartley CM, Chow RD, Ngo TT, Jiang R, Zamecnik CR, Dandekar R, Loudermilk RP, Dai Y, Liu F, Sunshine S, Liu J, Wu W, Hawes IA, Alvarenga BD, Huynh T, McAlpine L, Rahman NT, Geng B, Chiarella J, Goldman-Israelow B, Vogels CB, Grubaugh ND, Casanovas-Massana A, Phinney BS, Salemi M, Alexander JR, Gallego JA, Lencz T, Walsh H, Wapniarski AE, Mohanty S, Lucas C, Klein J, Mao T, Oh J, Ring A, Spudich S, Ko AI, Kleinstein SH, Pak J, DeRisi JL, Iwasaki A, Pleasure SJ, Wilson MR, Farhadian SF. Divergent and self-reactive immune responses in the CNS of COVID-19 patients with neurological symptoms. Cell Rep Med 2021; 2:100288. [PMID: 33969321 PMCID: PMC8091032 DOI: 10.1016/j.xcrm.2021.100288] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 03/03/2021] [Accepted: 04/22/2021] [Indexed: 12/17/2022]
Abstract
Individuals with coronavirus disease 2019 (COVID-19) frequently develop neurological symptoms, but the biological underpinnings of these phenomena are unknown. Through single-cell RNA sequencing (scRNA-seq) and cytokine analyses of cerebrospinal fluid (CSF) and blood from individuals with COVID-19 with neurological symptoms, we find compartmentalized, CNS-specific T cell activation and B cell responses. All affected individuals had CSF anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies whose target epitopes diverged from serum antibodies. In an animal model, we find that intrathecal SARS-CoV-2 antibodies are present only during brain infection and not elicited by pulmonary infection. We produced CSF-derived monoclonal antibodies from an individual with COVID-19 and found that these monoclonal antibodies (mAbs) target antiviral and antineural antigens, including one mAb that reacted to spike protein and neural tissue. CSF immunoglobulin G (IgG) from 5 of 7 patients showed antineural reactivity. This immune survey reveals evidence of a compartmentalized immune response in the CNS of individuals with COVID-19 and suggests a role of autoimmunity in neurologic sequelae of COVID-19.
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Affiliation(s)
- Eric Song
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Christopher M. Bartley
- Hanna H. Gray Fellow, Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Ryan D. Chow
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Thomas T. Ngo
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Ruoyi Jiang
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Colin R. Zamecnik
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ravi Dandekar
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Rita P. Loudermilk
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Yile Dai
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Feimei Liu
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Sara Sunshine
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Jamin Liu
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- University of California, Berkeley—University of California, San Francisco Gradate Program in Bioengineering, Berkeley, CA, USA
| | - Wesley Wu
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Isobel A. Hawes
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Bonny D. Alvarenga
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Trung Huynh
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Lindsay McAlpine
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Nur-Taz Rahman
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Bertie Geng
- Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA
| | | | - Benjamin Goldman-Israelow
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Bioinformatics Support Program, Cushing/Whitney Medical Library, Yale University School of Medicine, New Haven, CT, USA
| | - Chantal B.F. Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Nathan D. Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Arnau Casanovas-Massana
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Brett S. Phinney
- Proteomics Core Facility, UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Michelle Salemi
- Proteomics Core Facility, UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Jessa R. Alexander
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Juan A. Gallego
- Institute for Behavioral Science, The Feinstein Institute for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Todd Lencz
- Institute for Behavioral Science, The Feinstein Institute for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Hannah Walsh
- Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA
| | - Anne E. Wapniarski
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Subhasis Mohanty
- Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA
| | - Carolina Lucas
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Jon Klein
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Tianyang Mao
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Jieun Oh
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Aaron Ring
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Serena Spudich
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Albert I. Ko
- Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Steven H. Kleinstein
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - John Pak
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Joseph L. DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Akiko Iwasaki
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Department of Molecular, Cellular, and Developmental Biology, Yale School of Medicine, New Haven, CT, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Samuel J. Pleasure
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Michael R. Wilson
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Shelli F. Farhadian
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
- Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA
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