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Autoimmune anti-DNA and anti-phosphatidylserine antibodies predict development of severe COVID-19.
Gomes, Claudia; Zuniga, Marisol; Crotty, Kelly A; Qian, Kun; Tovar, Nubia Catalina; Lin, Lawrence Hsu; Argyropoulos, Kimon V; Clancy, Robert; Izmirly, Peter; Buyon, Jill; Lee, David C; Yasnot-Acosta, Maria Fernanda; Li, Huilin; Cotzia, Paolo; Rodriguez, Ana.
  • Gomes C; Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
  • Zuniga M; Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
  • Crotty KA; Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
  • Qian K; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
  • Tovar NC; Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.
  • Lin LH; Universidad de Córdoba, Montería, Córdoba, Colombia.
  • Argyropoulos KV; Universidad Del Sinú, Montería, Córdoba, Colombia.
  • Clancy R; Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA.
  • Izmirly P; Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA.
  • Buyon J; Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
  • Lee DC; Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
  • Yasnot-Acosta MF; Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
  • Li H; Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA.
  • Cotzia P; Universidad de Córdoba, Montería, Córdoba, Colombia.
  • Rodriguez A; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Life Sci Alliance ; 4(11)2021 11.
Article in English | MEDLINE | ID: covidwho-1404295
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Autoantibodies / Antibodies, Antinuclear / COVID-19 Type of study: Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Year: 2021 Document Type: Article Affiliation country: Lsa.202101180

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Autoantibodies / Antibodies, Antinuclear / COVID-19 Type of study: Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Year: 2021 Document Type: Article Affiliation country: Lsa.202101180