| Title | Autoimmune anti-DNA and anti-phosphatidylserine antibodies predict development of severe COVID-19. |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Authors | Gomes 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 |
| Journal | Life Sci Alliance |
| Volume | 4 |
| Issue | 11 |
| Date Published | 2021 Nov |
| ISSN | 2575-1077 |
| Keywords | Adult, 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. |
| DOI | 10.26508/lsa.202101180 |
| Alternate Journal | Life Sci Alliance |
| PubMed ID | 34504035 |
| PubMed Central ID | PMC8441539 |
| Grant List | P50 AR070590 / AR / NIAMS NIH HHS / United States |
Related Faculty:
Paolo Cotzia, M.D.
