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Autoimmune anti-DNA antibodies predict disease severity in COVID-19 patients
Claudia Gomes; Marisol Zuniga; Kelly A. Crotty; Kun Qian; Lawrence Hsu Lin; Kimon Argyropoulos; Huilin Li; Paolo Cotzia; Ana Rodriguez.
Afiliação
  • Claudia Gomes; NYU School of Medicine
  • Marisol Zuniga; NYU School of Medicine
  • Kelly A. Crotty; NYU School of Medicine
  • Kun Qian; NYU School of Medicine
  • Lawrence Hsu Lin; NYU School of Medicine
  • Kimon Argyropoulos; NYU School of Medicine
  • Huilin Li; New York University School of Medicine
  • Paolo Cotzia; NYU School of Medicine
  • Ana Rodriguez; NYU School of Medicine
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20249054
ABSTRACT
COVID-19 can lead to severe disease and death, however the mechanisms of pathogenesis in these patients remain poorly understood. High levels of autoimmune antibodies have been observed frequently in COVID-19 patients but their specific contribution to disease severity and clinical manifestations remain unknown. 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 41%) of patients. Anti-DNA antibodies determined upon hospital admission correlated strongly with later development of severe disease, showing a positive predictive value of 89.5% and accounting for 22% 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 autoantibodies may play an important role in the pathogenesis of COVID-19 and could be developed as a predictive biomarker for disease severity and specific clinical manifestations.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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