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The relationship between autoantibodies targeting GPCRs and the renin-angiotensin system associates with COVID-19 severity

Authors :
Alexandre H.C. Marques
Dennyson Leandro M. Fonseca
Hans D. Ochs
Stefan Schreiber
Gabriela Crispim Baiocchi
Kai Schulze-Forster
Yael Lavi
Otavio Cabral Marques
Florian Tran
Desiree Rodrigues Placa
Avi Z. Rosenberg
Juliane Junker
Tanja Lange
Harry Heidecke
Igor Salerno Filgueiras
Antje Müller
Gabriela Riemekasten
Carlotta Meyer
Howard Amital
Anja Schumann
Yuri Ostrinski
Gilad Halpert
Lasse Melvaer Giil
Jens Y Humrich
Yehuda Shoenfeld
Lena F. Schimke
Miriam T Lattin
Paula Paccielli Freire
Alexander Maximilian Hackel
Jonathan I. Silvergerg
Israel Zyskind
Jason Zimmerman
Hanna Grasshoff
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

The coronavirus disease 2019 (COVID-19) can evolve to clinical manifestations resembling systemic autoimmune diseases, with the presence of autoantibodies that are still poorly characterized. To address this issue, we performed a cross-sectional study of 246 individuals to determine whether autoantibodies targeting G protein-coupled receptors (GPCRs) and renin-angiotensin system (RAS)-related molecules were associated with COVID-19-related clinical outcomes. Moderate and severe patients exhibited the highest autoantibody levels, relative to both healthy controls and patients with mild COVID-19 symptoms. Random Forest, a machine learning model, ranked anti-GPCR autoantibodies targeting downstream molecules in the RAS signaling pathway such as the angiotensin II type 1 and Mas receptor, and the chemokine receptor CXCR3 as the three strongest predictors of severe disease. Moreover, while the autoantibody network signatures were relatively conserved in patients with mild COVID-19 compared to healthy controls, they were disrupted in moderate and most perturbed in severe patients. Our data indicate that the relationship between autoantibodies targeting GPCRs and RAS-related molecules associates with the clinical severity of COVID-19, suggesting novel molecular pathways for therapeutic interventions.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........ca82ed109e7fd6c5b5130f238fc51421