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

TitleAutoimmune anti-DNA and anti-phosphatidylserine antibodies predict development of severe COVID-19.
Publication TypeJournal Article
Year of Publication2021
AuthorsGomes C, Zuniga M, Crotty KA, Qian K, Tovar NCatalina, Lin LHsu, Argyropoulos KV, Clancy R, Izmirly P, Buyon J, Lee DC, Yasnot-Acosta MFernanda, Li H, Cotzia P, Rodriguez A
JournalLife Sci Alliance
Volume4
Issue11
Date Published2021 Nov
ISSN2575-1077
KeywordsAdult, Aged, Aged, 80 and over, Antibodies, Antinuclear, Autoantibodies, Biomarkers, COVID-19, DNA, Erythrocytes, Female, Humans, Male, Middle Aged, Phosphatidylserines, Prognosis, Retrospective Studies, SARS-CoV-2, Severity of Illness Index
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.

DOI10.26508/lsa.202101180
Alternate JournalLife Sci Alliance
PubMed ID34504035
PubMed Central IDPMC8441539
Grant ListP50 AR070590 / AR / NIAMS NIH HHS / United States
Related Faculty: 
Paolo Cotzia, M.D.

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