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

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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441539/
https://www.ncbi.nlm.nih.gov/pubmed/34504035
http://dx.doi.org/10.26508/lsa.202101180
Descripción
Sumario: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.