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Autoimmune anti-DNA and anti-phosphatidylserine antibodies predict development of severe COVID-19

Claudia Gomes, Marisol Zuniga, View ORCID ProfileKelly A Crotty, Kun Qian, Nubia Catalina Tovar, Lawrence Hsu Lin, Kimon V Argyropoulos, Robert Clancy, Peter Izmirly, Jill Buyon, David C Lee, View ORCID ProfileMaria Fernanda Yasnot-Acosta, Huilin Li, Paolo Cotzia, View ORCID ProfileAna Rodriguez  Correspondence email
Claudia Gomes
1Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
Roles: Data curation, Investigation, Methodology
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Marisol Zuniga
1Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
Roles: Data curation, Investigation, Methodology
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Kelly A Crotty
1Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
Roles: Data curation, Investigation, Methodology
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  • ORCID record for Kelly A Crotty
Kun Qian
2Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
Roles: Formal analysis
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Nubia Catalina Tovar
1Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
3Universidad de Córdoba, Montería, Córdoba, Colombia
4Universidad Del Sinú, Montería, Córdoba, Colombia
Roles: Data curation, Investigation, Methodology
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Lawrence Hsu Lin
5Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
Roles: Resources, Data curation, Investigation, Methodology, Patient recruitment and sample collection
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Kimon V Argyropoulos
5Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
Roles: Resources, Patient recruitment and sample collection, Writing—review and editing
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Robert Clancy
6Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
Roles: Resources
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Peter Izmirly
6Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
Roles: Resources
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Jill Buyon
6Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
Roles: Resources
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David C Lee
7Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA
Roles: Conceptualization, Formal analysis
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Maria Fernanda Yasnot-Acosta
3Universidad de Córdoba, Montería, Córdoba, Colombia
Roles: Resources
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  • ORCID record for Maria Fernanda Yasnot-Acosta
Huilin Li
2Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
Roles: Formal analysis
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Paolo Cotzia
5Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
Roles: Patient recruitment and sample collection, writing—review and editing
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Ana Rodriguez
1Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
Roles: Conceptualization, Data curation, Formal analysis, Supervision, Funding acquisition, Writing—original draft, review, and editing
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  • ORCID record for Ana Rodriguez
  • For correspondence: ana.rodriguez@nyumc.org
Published 9 September 2021. DOI: 10.26508/lsa.202101180
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Abstract

High levels of autoimmune antibodies are observed in COVID-19 patients but their specific contribution to disease severity and clinical manifestations remains poorly understood. We performed a retrospective study of 115 COVID-19 hospitalized patients with different degrees of severity to analyze the generation of autoimmune antibodies to common antigens: a lysate of erythrocytes, the lipid phosphatidylserine (PS) and DNA. High levels of IgG autoantibodies against erythrocyte lysates were observed in a large percentage (up to 36%) of patients. Anti-DNA and anti-PS antibodies determined upon hospital admission correlated strongly with later development of severe disease, showing a positive predictive value of 85.7% and 92.8%, respectively. Patients with positive values for at least one of the two autoantibodies accounted for 24% of total severe cases. Statistical analysis identified strong correlations between anti-DNA antibodies and markers of cell injury, coagulation, neutrophil levels and erythrocyte size. Anti-DNA and anti-PS autoantibodies may play an important role in the pathogenesis of COVID-19 and could be developed as predictive biomarkers for disease severity and specific clinical manifestations.

  • Received July 29, 2021.
  • Revision received August 18, 2021.
  • Accepted August 18, 2021.
  • © 2021 Gomes et al.
Creative Commons logoCreative Commons logohttps://creativecommons.org/licenses/by/4.0/

This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

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Autoantibodies predict COVID-19 severity
Claudia Gomes, Marisol Zuniga, Kelly A Crotty, Kun Qian, Nubia Catalina Tovar, Lawrence Hsu Lin, Kimon V Argyropoulos, Robert Clancy, Peter Izmirly, Jill Buyon, David C Lee, Maria Fernanda Yasnot-Acosta, Huilin Li, Paolo Cotzia, Ana Rodriguez
Life Science Alliance Sep 2021, 4 (11) e202101180; DOI: 10.26508/lsa.202101180

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Autoantibodies predict COVID-19 severity
Claudia Gomes, Marisol Zuniga, Kelly A Crotty, Kun Qian, Nubia Catalina Tovar, Lawrence Hsu Lin, Kimon V Argyropoulos, Robert Clancy, Peter Izmirly, Jill Buyon, David C Lee, Maria Fernanda Yasnot-Acosta, Huilin Li, Paolo Cotzia, Ana Rodriguez
Life Science Alliance Sep 2021, 4 (11) e202101180; DOI: 10.26508/lsa.202101180
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Volume 4, No. 11
November 2021
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