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

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

doi:10.26508/lsa.202101180

Research Article

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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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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

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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