Evidence map›Paper›PMID 35264564›Full record

ArticleNature communications2022

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

Otavio Cabral-Marques, Gilad Halpert, Lena F Schimke, Yuri Ostrinski, Aristo Vojdani, Gabriela Crispim Baiocchi, Paula Paccielli Freire, Igor Salerno Filgueiras, Israel Zyskind, Miriam T Lattin and 26 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
13.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 142 citations in OpenAlex.

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  14. Observational
  15. NETosis: A key player in autoimmunity, COVID-19, and long COVID.Journal of translational autoimmunity · 2025
    Review
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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors at 16 institutions in 10 countries.

Otavio Cabral-Marques *Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil. otavio.cmarques@usp.br.ORCID http://orcid.org/0000-0002-3183-6236
Gilad Halpert *Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer, Israel.
Lena F Schimke *Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-5616-3410
Yuri OstrinskiZabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer, Israel.ORCID http://orcid.org/0000-0001-9697-1554
Aristo VojdaniDepartment of Immunology, Immunosciences Laboratory, Inc., Los Angeles, CA, United States.
Gabriela Crispim BaiocchiDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-0246-5883
Paula Paccielli FreireDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-0649-8279
Igor Salerno FilgueirasDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-3493-4464
Israel ZyskindDepartment of Pediatrics, NYU Langone Medical Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-3422-9631
Miriam T LattinDepartment of Biology, Yeshiva University, Manhatten, NY, USA.
Florian TranDepartment of Internal Medicine I, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany.ORCID http://orcid.org/0000-0002-3735-9872
Stefan SchreiberDepartment of Internal Medicine I, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany.
Alexandre H C MarquesDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-0515-6990
Desirée Rodrigues PlaçaDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Dennyson Leandro M FonsecaDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Jens Y HumrichDepartment of Rheumatology, University Medical Center Schleswig-Holstein Campus Lübeck, Lübeck, Germany.ORCID http://orcid.org/0000-0003-3111-2788
Antje MüllerDepartment of Rheumatology, University Medical Center Schleswig-Holstein Campus Lübeck, Lübeck, Germany.
Lasse M GiilDepartment of Internal Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway.ORCID http://orcid.org/0000-0003-3520-7530
Hanna GraßhoffDepartment of Rheumatology, University Medical Center Schleswig-Holstein Campus Lübeck, Lübeck, Germany.
Anja SchumannDepartment of Rheumatology, University Medical Center Schleswig-Holstein Campus Lübeck, Lübeck, Germany.
Alexander HackelDepartment of Rheumatology, University Medical Center Schleswig-Holstein Campus Lübeck, Lübeck, Germany.
Juliane JunkerCellTrend Gesellschaft mit beschränkter Haftung (GmbH), Luckenwalde, Germany.
Carlotta MeyerCellTrend Gesellschaft mit beschränkter Haftung (GmbH), Luckenwalde, Germany.
Hans D OchsDepartment of Pediatrics, University of Washington School of Medicine, and Seattle Children's Research Institute, Seattle, WA, USA.
Yael Bublil LaviSackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.ORCID http://orcid.org/0000-0002-3162-0988
Carmen ScheibenbogenInstitute of Medical Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Ralf DechendExperimental and Clinical Research Center, a collaboration of Max Delbruck Center for Molecular Medicine and Charité Universitätsmedizin, and HELIOS Clinic, Department of Cardiology and Nephrology, Berlin, 13125, Germany.
Igor JurisicaOsteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN; Data Science Discovery Centre, Krembil Research Institute, UHN, Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, Canada.ORCID http://orcid.org/0000-0002-2507-946X
Kai Schulze-ForsterCellTrend Gesellschaft mit beschränkter Haftung (GmbH), Luckenwalde, Germany.
Jonathan I SilverbergSchool of Medicine and Health Sciences, George Washington University, Washington, DC, USA.
Howard AmitalZabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer, Israel.
Jason ZimmermanMaimonides Medical Center, Brooklyn, NY, USA.
Harry HeideckeCellTrend Gesellschaft mit beschränkter Haftung (GmbH), Luckenwalde, Germany.
Avi Z RosenbergDepartment of Pathology, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-2356-950X
Gabriela Riemekasten *Department of Rheumatology, University Medical Center Schleswig-Holstein Campus Lübeck, Lübeck, Germany. gabriela.riemekasten@uksh.de.ORCID http://orcid.org/0000-0002-5406-2464
Yehuda Shoenfeld *Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer, Israel. shoenfel@post.tau.ac.il.ORCID http://orcid.org/0000-0003-2802-4090
Universidade de São Paulo · BRGesellschaft für Klinische Forschung · DESt Petersburg University · RUClinical Research Center Kiel · DEMaimonides Medical Center · USTel Aviv University · ILArthritis Foundation · USGeorge Washington University · USHaraldsplass Diakonale Sykehus · NOHumboldt-Universität zu Berlin · DEImmunosciences Lab (United States) · USJohns Hopkins University · USMax Delbrück Center · DESeattle Children's Hospital · USUniversitäres Kinderwunschzentrum Lübeck · DEYeshiva University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AutoantibodiesAutoimmunityBiomarkersCOVID-19Cross-Sectional StudiesFemaleHumansMachine LearningMaleMultivariate AnalysisReceptor, Angiotensin, Type 1Receptors, CXCR3Receptors, G-Protein-CoupledRenin-Angiotensin SystemSARS-CoV-2Severity of Illness IndexAGTR1 protein, humanAutoantibodiesBiomarkersCXCR3 protein, humanReceptor, Angiotensin, Type 1Receptors, CXCR3Receptors, G-Protein-Coupled

Identifiers

PMID35264564
PMCPMC8907309
OpenAlexW4220757474

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.