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

Author:

Cabral-Marques OtavioORCID,Halpert GiladORCID,Schimke Lena F.,Ostrinski Yuri,Zyskind Israel,Lattin Miriam T.,Tran FlorianORCID,Schreiber Stefan,Marques Alexandre H.C.ORCID,Filgueiras Igor SalernoORCID,Plaça Desirée RodriguesORCID,Baiocchi Gabriela CrispimORCID,Freire Paula PaccielliORCID,Fonseca Dennyson Leandro M.ORCID,Humrich Jens Y.ORCID,Lange TanjaORCID,Müller Antje,Giil Lasse M.ORCID,Graßhoff HannaORCID,Schumann Anja,Hackel Alexander MaximilianORCID,Junker Juliane,Meyer Carlotta,Ochs Hans D.,Lavi Yael Bublil,Schulze-Forster Kai,Silvergerg Jonathan I.,Amital HowardORCID,Zimmerman JasonORCID,Heidecke Harry,Rosenberg Avi ZORCID,Riemekasten GabrielaORCID,Shoenfeld YehudaORCID

Abstract

ABSTRACTThe 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.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3