Cross‐sectional analysis reveals autoantibody signatures associated with COVID‐19 severity

Author:

Baiocchi Gabriela C.1,Vojdani Aristo23,Rosenberg Avi Z.4,Vojdani Elroy5,Halpert Gilad678,Ostrinski Yuri678,Zyskind Israel910,Filgueiras Igor S.1,Schimke Lena F.1,Marques Alexandre H. C.1,Giil Lasse M.11,Lavi Yael B.12,Silverberg Jonathan I.13,Zimmerman Jason10,Hill Dana A.14,Thornton Amanda14,Kim Myungjin15,De Vito Roberta16,Fonseca Dennyson L. M.17,Plaça Desireé R.18ORCID,Freire Paula P.1,Camara Niels O. S.1,Calich Vera L. G.1,Scheibenbogen Carmen19,Heidecke Harald20,Lattin Miriam T.21,Ochs Hans D.22,Riemekasten Gabriela23,Amital Howard672425,Shoenfeld Yehuda78,Cabral‐Marques Otavio117182627

Affiliation:

1. Department of Immunology, Institute of Biomedical Sciences University of São Paulo São Paulo Brazil

2. Immunosciences Laboratory, Inc. Department of Immunology Los Angeles California USA

3. Cyrex Laboratories Phoenix Arizona USA

4. Department of Pathology Johns Hopkins University Baltimore Maryland USA

5. Regenera Medical Los Angeles California USA

6. Ariel University Ariel Israel

7. Zabludowicz Center for Autoimmune Diseases Sheba Medical Center Tel‐Hashomer Israel

8. Saint Petersburg State University Russia St Petersburg Russia

9. Department of Pediatrics NYU Langone Medical Center New York New York USA

10. Maimonides Medical Center Brooklyn New York USA

11. Department of Internal Medicine Haraldsplass Deaconess Hospital Bergen Norway

12. Department of Chemistry Ben Gurion University Beer‐Sheva Beer‐Sheva Israel

13. Department of Dermatology George Washington University School of Medicine and Health Sciences Washington USA

14. ResourcePath Sterling Virginia USA

15. Data Science Initiative at Brown University Providence Rhode Island USA

16. Department of Biostatistics and the Data Science Initiative at Brown University Providence Rhode Island USA

17. Interunit Postgraduate Program on Bioinformatics, Institute of Mathematics and Statistics (IME) University of Sao Paulo (USP) Sao Paulo Brazil

18. Department of Clinical and Toxicological Analyses School of Pharmaceutical Sciences São Paulo Brazil

19. Institute for Medical Immunology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin Berlin Germany

20. CellTrend Gesellschaft mit beschränkter Haftung (GmbH) Luckenwalde Germany

21. Department of Biology Yeshiva University Manhatten New York USA

22. Department of Pediatrics University of Washington School of Medicine, and Seattle Children's Research Institute Seattle Washington USA

23. Department of Rheumatology University Medical Center Schleswig‐Holstein Campus Lübeck Lübeck Germany

24. Department of Medicine B Sheba Medical Center Tel Hashomer Israel

25. Sackler Faculty of Medicine Tel‐Aviv University Tel‐Aviv Israel

26. Department of Pharmacy and Postgraduate Program of Health and Science Federal University of Rio Grande do Norte Natal Brazil

27. Department of Medicine, Division of Molecular Medicine University of São Paulo School of Medicine Baltimore USA

Abstract

AbstractThe severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection is associated with increased levels of autoantibodies targeting immunological proteins such as cytokines and chemokines. Reports further indicate that COVID‐19 patients may develop a broad spectrum of autoimmune diseases due to reasons not fully understood. Even so, the landscape of autoantibodies induced by SARS‐CoV‐2 infection remains uncharted territory. To gain more insight, we carried out a comprehensive assessment of autoantibodies known to be linked to diverse autoimmune diseases observed in COVID‐19 patients in a cohort of 231 individuals, of which 161 were COVID‐19 patients (72 with mild, 61 moderate, and 28 with severe disease) and 70 were healthy controls. Dysregulated IgG and IgA autoantibody signatures, characterized mainly by elevated concentrations, occurred predominantly in patients with moderate or severe COVID‐19 infection. Autoantibody levels often accompanied anti‐SARS‐CoV‐2 antibody concentrations while stratifying COVID‐19 severity as indicated by random forest and principal component analyses. Furthermore, while young versus elderly COVID‐19 patients showed only slight differences in autoantibody levels, elderly patients with severe disease presented higher IgG autoantibody concentrations than young individuals with severe COVID‐19. This work maps the intersection of COVID‐19 and autoimmunity by demonstrating the dysregulation of multiple autoantibodies triggered during SARS‐CoV‐2 infection. Thus, this cross‐sectional study suggests that SARS‐CoV‐2 infection induces autoantibody signatures associated with COVID‐19 severity and several autoantibodies that can be used as biomarkers of COVID‐19 severity, indicating autoantibodies as potential therapeutical targets for these patients.

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Infectious Diseases,Virology

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