Advanced search
Start date
Betweenand


Autoantibodies targeting GPCRs and RAS-related molecules associate with COVID-19 severity

Full text
Author(s):
Show less -
Cabral-Marques, Otavio ; Halpert, Gilad ; Schimke, Lena F. ; Ostrinski, Yuri ; Vojdani, Aristo ; Baiocchi, Gabriela Crispim ; Freire, Paula Paccielli ; Filgueiras, Igor Salerno ; Zyskind, Israel ; Lattin, Miriam T. ; Tran, Florian ; Schreiber, Stefan ; Marques, Alexandre H. C. ; Placa, Desiree Rodrigues ; Fonseca, Dennyson Leandro M. ; Humrich, Jens Y. ; Mueller, Antje ; Giil, Lasse M. ; Grasshoff, Hanna ; Schumann, Anja ; Hackel, Alexander ; Junker, Juliane ; Meyer, Carlotta ; Ochs, Hans D. ; Lavi, Yael Bublil ; Scheibenbogen, Carmen ; Dechend, Ralf ; Jurisica, Igor ; Schulze-Forster, Kai ; Silverberg, Jonathan, I ; Amital, Howard ; Zimmerman, Jason ; Heidecke, Harry ; Rosenberg, Avi Z. ; Riemekasten, Gabriela ; Shoenfeld, Yehuda
Total Authors: 36
Document type: Journal article
Source: NATURE COMMUNICATIONS; v. 13, n. 1, p. 12-pg., 2022-03-09.
Abstract

COVID-19 shares the feature of autoantibody production with systemic autoimmune diseases. In order to understand the role of these immune globulins in the pathogenesis of the disease, it is important to explore the autoantibody spectra. Here we show, by a cross-sectional study of 246 individuals, that autoantibodies targeting G protein-coupled receptors (GPCR) and RAS-related molecules associate with the clinical severity of COVID-19. Patients with moderate and severe disease are characterized by higher autoantibody levels than healthy controls and those with mild COVID-19 disease. Among the anti-GPCR autoantibodies, machine learning classification identifies the chemokine receptor CXCR3 and the RAS-related molecule AGTR1 as targets for antibodies with the strongest association to disease severity. Besides antibody levels, autoantibody network signatures are also changing in patients with intermediate or high disease severity. Although our current and previous studies identify anti-GPCR antibodies as natural components of human biology, their production is deregulated in COVID-19 and their level and pattern alterations might predict COVID-19 disease severity. COVID-19, similarly to systemic autoimmune diseases, is characterised by the presence of autoantibodies. Authors show here that the abundance and network signature of autoantibodies targeting G protein-coupled receptors and RAS-related proteins are altered in COVID-19 patients, and the level of disruption marks clinical severity. (AU)

FAPESP's process: 20/07069-0 - Systemic and integrative analysis of T lymphocyte exhaustion mechanisms in patients with COVID-19
Grantee:Otávio Cabral Marques
Support Opportunities: Regular Research Grants
FAPESP's process: 18/18886-9 - Systemic and integrative analysis of the immune response to Zika and Dengue viral infections
Grantee:Otávio Cabral Marques
Support Opportunities: Research Grants - Young Investigators Grants
FAPESP's process: 20/16246-2 - Holistic characterization of T cell exhaustion in patients with Zika
Grantee:Dennyson Leandro Mathias da Fonseca
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 20/11710-2 - Systemic and integrative analysis of T lymphocyte exhaustion mechanisms in patients with Dengue
Grantee:Desirée Rodrigues Plaça
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 20/07972-1 - Systemic and integrative analysis of T lymphocyte exhaustion mechanisms in patients with COVID-19
Grantee:Gabriela Crispim Baiocchi
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 20/09146-1 - Systemic and integrative analysis of molecular mechanisms associated with immunoregulation in patients with COVID-19
Grantee:Paula Paccielli Freire-Barguil
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 20/01688-0 - Systemic and integrative analysis of the immune response to Zika and Dengue viral infections
Grantee:Otávio Cabral Marques
Support Opportunities: Scholarships in Brazil - Young Researchers