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

Life Sci Alliance. 2021 Sep 9;4(11):e202101180. doi: 10.26508/lsa.202101180. Print 2021 Nov.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Antibodies, Antinuclear / blood
  • Antibodies, Antinuclear / immunology*
  • Autoantibodies / blood
  • Autoantibodies / immunology*
  • Biomarkers
  • COVID-19 / immunology*
  • COVID-19 / metabolism*
  • DNA / chemistry
  • DNA / immunology
  • Erythrocytes / immunology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Phosphatidylserines / immunology
  • Prognosis
  • Retrospective Studies
  • SARS-CoV-2 / isolation & purification
  • Severity of Illness Index

Substances

  • Antibodies, Antinuclear
  • Autoantibodies
  • Biomarkers
  • Phosphatidylserines
  • DNA