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      Autoantibodies against type I IFNs in patients with life-threatening COVID-19

      research-article
      1 , 2 , 3 , * , 4 , 3 , 5 , 5 , 4 , 6 , 1 , 2 , 1 , 2 , 1 , 2 , 3 , 1 , 2 , 4 , 7 , 7 , 1 , 2 , 1 , 2 , 8 , 9 , 4 , 4 , 10 , 11 , 12 , 13 , 14 , 15 , 5 , 1 , 2 , 3 , 1 , 2 , 3 , 16 , 3 , 17 , 4 , 4 , 18 , 18 , 18 , 18 , 18 , 19 , 19 , 20 , 21 , 22 , 23 , 1 , 2 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 1 , 2 , 3 , 43 , 44 , 45 , 46 , 47 , 48 , 48 , 49 , 50 , 51 , 51 , 51 , 52 , 53 , 54 , 24 , 55 , 56 , 57 , 58 , 58 , 59 , 59 , 59 , 60 , 61 , 62 , 63 , 64 , 62 , 62 , 65 , 66 , 67 , 68 , 69 , 68 , 69 , HGID Lab §, NIAID-USUHS Immune Response to COVID Group §, COVID Clinicians §, COVID-STORM Clinicians §, Imagine COVID Group §, French COVID Cohort Study Group §, The Milieu Intérieur Consortium §, CoV-Contact Cohort §, Amsterdam UMC Covid-19 Biobank §, COVID Human Genetic Effort §, 70 , 71 , 4 , 7 , 4 , 1 , 2 , 3 , 1 , 2 , 3 , 4 , 6 , 72 , 1 , 2 , 3 , 5 , 1 , 2 , 3 , 4 , 1 , 2 , 3 , 4 , 1 , 2 , 3 , 42 , 73 , *
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      American Association for the Advancement of Science

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          The genetics underlying severe COVID-19

          The immune system is complex and involves many genes, including those that encode cytokines known as interferons (IFNs). Individuals that lack specific IFNs can be more susceptible to infectious diseases. Furthermore, the autoantibody system dampens IFN response to prevent damage from pathogen-induced inflammation. Two studies now examine the likelihood that genetics affects the risk of severe coronavirus disease 2019 (COVID-19) through components of this system (see the Perspective by Beck and Aksentijevich). Q. Zhang et al. used a candidate gene approach and identified patients with severe COVID-19 who have mutations in genes involved in the regulation of type I and III IFN immunity. They found enrichment of these genes in patients and conclude that genetics may determine the clinical course of the infection. Bastard et al. identified individuals with high titers of neutralizing autoantibodies against type I IFN-α2 and IFN-ω in about 10% of patients with severe COVID-19 pneumonia. These autoantibodies were not found either in infected people who were asymptomatic or had milder phenotype or in healthy individuals. Together, these studies identify a means by which individuals at highest risk of life-threatening COVID-19 can be identified.

          Science, this issue p. [Related article:]eabd4570, p. eabd4585; see also p. [Related article:]404

          Abstract

          In a large immunological and genomics study of COVID-19 patients, autoantibodies to type 1 interferons correlated with outcomes.

          Abstract

          INTRODUCTION

          Interindividual clinical variability is vast in humans infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), ranging from silent infection to rapid death. Three risk factors for life-threatening coronavirus disease 2019 (COVID-19) pneumonia have been identified—being male, being elderly, or having other medical conditions—but these risk factors cannot explain why critical disease remains relatively rare in any given epidemiological group. Given the rising toll of the COVID-19 pandemic in terms of morbidity and mortality, understanding the causes and mechanisms of life-threatening COVID-19 is crucial.

          RATIONALE

          B cell autoimmune infectious phenocopies of three inborn errors of cytokine immunity exist, in which neutralizing autoantibodies (auto-Abs) against interferon-γ (IFN-γ) (mycobacterial disease), interleukin-6 (IL-6) (staphylococcal disease), and IL-17A and IL-17F (mucocutaneous candidiasis) mimic the clinical phenotypes of germline mutations of the genes that encode the corresponding cytokines or receptors. Human inborn errors of type I IFNs underlie severe viral respiratory diseases. Neutralizing auto-Abs against type I IFNs, which have been found in patients with a few underlying noninfectious conditions, have not been unequivocally shown to underlie severe viral infections. While searching for inborn errors of type I IFN immunity in patients with life-threatening COVID-19 pneumonia, we also tested the hypothesis that neutralizing auto-Abs against type I IFNs may underlie critical COVID-19. We searched for auto-Abs against type I IFNs in 987 patients hospitalized for life-threatening COVID-19 pneumonia, 663 asymptomatic or mildly affected individuals infected with SARS-CoV-2, and 1227 healthy controls from whom samples were collected before the COVID-19 pandemic.

          RESULTS

          At least 101 of 987 patients (10.2%) with life-threatening COVID-19 pneumonia had neutralizing immunoglobulin G (IgG) auto-Abs against IFN-ω (13 patients), against the 13 types of IFN-α (36), or against both (52) at the onset of critical disease; a few also had auto-Abs against the other three individual type I IFNs. These auto-Abs neutralize high concentrations of the corresponding type I IFNs, including their ability to block SARS-CoV-2 infection in vitro. Moreover, all of the patients tested had low or undetectable serum IFN-α levels during acute disease. These auto-Abs were present before infection in the patients tested and were absent from 663 individuals with asymptomatic or mild SARS-CoV-2 infection ( P < 10 −16). They were present in only 4 of 1227 (0.33%) healthy individuals ( P < 10 −16) before the pandemic. The patients with auto-Abs were 25 to 87 years old (half were over 65) and of various ancestries. Notably, 95 of the 101 patients with auto-Abs were men (94%).

          CONCLUSION

          A B cell autoimmune phenocopy of inborn errors of type I IFN immunity accounts for life-threatening COVID-19 pneumonia in at least 2.6% of women and 12.5% of men. In these patients, adaptive autoimmunity impairs innate and intrinsic antiviral immunity. These findings provide a first explanation for the excess of men among patients with life-threatening COVID-19 and the increase in risk with age. They also provide a means of identifying individuals at risk of developing life-threatening COVID-19 and ensuring their enrolment in vaccine trials. Finally, they pave the way for prevention and treatment, including plasmapheresis, plasmablast depletion, and recombinant type I IFNs not targeted by the auto-Abs (e.g., IFN-β).

          Neutralizing auto-Abs to type I IFNs underlie life-threatening COVID-19 pneumonia.

          We tested the hypothesis that neutralizing auto-Abs against type I IFNs may underlie critical COVID-19 by impairing the binding of type I IFNs to their receptor and the activation of the downstream responsive pathway. Neutralizing auto-Abs are represented in red, and type I IFNs are represented in blue. In these patients, adaptive autoimmunity impairs innate and intrinsic antiviral immunity. ISGs, IFN-stimulated genes; TLR, Toll-like receptor; IFNAR, IFN-α/β receptor; pSTAT, phosphorylated signal transducers and activators of transcription; IRF, interferon regulatory factor.

          Abstract

          Interindividual clinical variability in the course of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is vast. We report that at least 101 of 987 patients with life-threatening coronavirus disease 2019 (COVID-19) pneumonia had neutralizing immunoglobulin G (IgG) autoantibodies (auto-Abs) against interferon-ω (IFN-ω) (13 patients), against the 13 types of IFN-α (36), or against both (52) at the onset of critical disease; a few also had auto-Abs against the other three type I IFNs. The auto-Abs neutralize the ability of the corresponding type I IFNs to block SARS-CoV-2 infection in vitro. These auto-Abs were not found in 663 individuals with asymptomatic or mild SARS-CoV-2 infection and were present in only 4 of 1227 healthy individuals. Patients with auto-Abs were aged 25 to 87 years and 95 of the 101 were men. A B cell autoimmune phenocopy of inborn errors of type I IFN immunity accounts for life-threatening COVID-19 pneumonia in at least 2.6% of women and 12.5% of men.

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          Most cited references46

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          The neighbor-joining method: a new method for reconstructing phylogenetic trees.

          N Saitou, M Nei (1987)
          A new method called the neighbor-joining method is proposed for reconstructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs of operational taxonomic units (OTUs [= neighbors]) that minimize the total branch length at each stage of clustering of OTUs starting with a starlike tree. The branch lengths as well as the topology of a parsimonious tree can quickly be obtained by using this method. Using computer simulation, we studied the efficiency of this method in obtaining the correct unrooted tree in comparison with that of five other tree-making methods: the unweighted pair group method of analysis, Farris's method, Sattath and Tversky's method, Li's method, and Tateno et al.'s modified Farris method. The new, neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods.
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            • Record: found
            • Abstract: found
            • Article: not found

            Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19

            Summary Viral pandemics, such as the one caused by SARS-CoV-2, pose an imminent threat to humanity. Because of its recent emergence, there is a paucity of information regarding viral behavior and host response following SARS-CoV-2 infection. Here we offer an in-depth analysis of the transcriptional response to SARS-CoV-2 compared with other respiratory viruses. Cell and animal models of SARS-CoV-2 infection, in addition to transcriptional and serum profiling of COVID-19 patients, consistently revealed a unique and inappropriate inflammatory response. This response is defined by low levels of type I and III interferons juxtaposed to elevated chemokines and high expression of IL-6. We propose that reduced innate antiviral defenses coupled with exuberant inflammatory cytokine production are the defining and driving features of COVID-19.
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              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization

              Abstract This article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in sequencing technologies, huge numbers of biological sequences are available and the need for MSAs with large numbers of sequences is increasing. To extract biologically relevant information from such data, sophistication of algorithms is necessary but not sufficient. Intuitive and interactive tools for experimental biologists to semiautomatically handle large data are becoming important. We are working on development of MAFFT toward these two directions. Here, we explain (i) the Web interface for recently developed options for large data and (ii) interactive usage to refine sequence data sets and MSAs.
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                Author and article information

                Journal
                Science
                Science
                SCIENCE
                science
                Science (New York, N.y.)
                American Association for the Advancement of Science
                0036-8075
                1095-9203
                23 October 2020
                24 September 2020
                : 370
                : 6515
                : eabd4585
                Affiliations
                [1 ]Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.
                [2 ]University of Paris, Imagine Institute, Paris, France.
                [3 ]St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA.
                [4 ]Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA.
                [5 ]Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA.
                [6 ]Sorbonne Université, INSERM, Centre d’Immunologie et des Maladies Infectieuses, (CIMI-Paris), Paris, France.
                [7 ]Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
                [8 ]Hospices Civils de Lyon, Lyon Sud Hospital, Pierre-Bénite, France.
                [9 ]International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.
                [10 ]International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France.
                [11 ]National Referee Centre for Rheumatic and AutoImmune and Systemic Diseases in Children (RAISE), Lyon, France.
                [12 ]Lyon Immunopathology Federation (LIFE), Hospices Civils de Lyon, Lyon, France.
                [13 ]Internal Medicine Clinic, Tartu University Hospital, Tartu, Estonia.
                [14 ]Pneumology Department, Foch Hospital, Suresne, France.
                [15 ]Avicenne Hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Bobigny, INSERM U1272 Hypoxia and Lung, Bobigny, France.
                [16 ]Helix, San Mateo, CA, USA.
                [17 ]Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, Netherlands.
                [18 ]IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy.
                [19 ]Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
                [20 ]Yale Center for Genome Analysis, Yale University School of Medicine, New Haven, CT, USA.
                [21 ]Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY, USA.
                [22 ]Service de Biologie Clinique and UMR-S 1176, Hôpital Foch, Suresnes, France.
                [23 ]INSERM UMR-S 1140, Biosurgical Research Laboratory (Carpentier Foundation), Paris University and European Georges Pompidou Hospital, Paris, France.
                [24 ]Laboratory of Immunogenetics of Pediatric Autoimmune Diseases, INSERM UMR 1163, University of Paris, Imagine Institute, Paris, France.
                [25 ]Department of Internal Medicine, National Referral Center for Rare Systemic Autoimmune Diseases, Assistance Publique Hôpitaux de Paris-Centre (APHP-CUP), University of Paris, Paris, France.
                [26 ]Translational Immunology Laboratory, Institut Pasteur, Paris, France.
                [27 ]Human Evolutionary Genetics Unit, Institut Pasteur, CNRS UMR 2000, 75015, Paris, France.
                [28 ]Human Genomics and Evolution, Collège de France, Paris, France.
                [29 ]Amsterdam UMC, University of Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam, Netherlands.
                [30 ]Department of Medicine, Division of Infectious Diseases, McGill University Health Centre, Montréal, Québec, Canada.
                [31 ]Infectious Disease Susceptibility Program, Research Institute, McGill University Health Centre, Montréal, Québec, Canada.
                [32 ]Garvan Institute of Medical Research, Darlinghurst 2010, NSW, Sydney, Australia.
                [33 ]St Vincent’s Clinical School, Faculty of Medicine, University of New South Wales Sydney, Darlinghurst 2010, NSW, Australia.
                [34 ]Department of Paediatric Immunology and Pulmonology, Centre for Primary Immunodeficiency Ghent (CPIG), PID Research Laboratory, Jeffrey Modell Diagnosis and Research Centre, Ghent University Hospital, Ghent, Belgium.
                [35 ]Infectious Diseases and HIV Service, Hospital Universitari Mutua Terrassa, Universitat de Barcelona, Fundació Docència i Recerca Mutua Terrassa, Terrassa, Barcelona, Catalonia, Spain.
                [36 ]IrsiCaixa AIDS Research Institute and Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona, Spain.
                [37 ]Infectious Diseases and Immunity, Centre for Health and Social Care Research (CESS), Faculty of Medicine, University of Vic-Central University of Catalonia (UVic-UCC), Vic, Spain.
                [38 ]Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.
                [39 ]Science for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Karolinska, Sweden.
                [40 ]Department of Pediatric Rheumatology, Karolinska University Hospital, Karolinska, Sweden.
                [41 ]Laboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA.
                [42 ]Howard Hughes Medical Institute, New York, NY, USA.
                [43 ]Department of Immunology, Hospital Universitario de Gran Canaria Dr. Negrín, Canarian Health System, Las Palmas de Gran Canaria, Spain.
                [44 ]Department of Clinical Sciences, University Fernando Pessoa Canarias, Las Palmas de Gran Canaria, Spain.
                [45 ]Neglected Human Genetics Laboratory, INSERM, University of Paris, Paris, France.
                [46 ]Department of Infectious Diseases, Aarhus University Hospital, Skejby, Denmark.
                [47 ]Department of Biomedicine, Aarhus University, Aarhus, Denmark.
                [48 ]Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, NIAID, NIH, Bethesda, MD, USA.
                [49 ]Division of Intramural Research, National Institute of Dental Craniofacial Research (NIDCR), NIH, Bethesda, MD, USA.
                [50 ]Laboratory of Infectious Diseases, Division of Intramural Research, NIAID, NIH, Bethesda, MD, USA.
                [51 ]Pediatric Department and Centro Tettamanti-European Reference Network PaedCan, EuroBloodNet, MetabERN-University of Milano-Bicocca-Fondazione MBBM-Ospedale, San Gerardo, Monza, Italy.
                [52 ]Department of Infectious Diseases, San Gerardo Hospital - University of Milano-Bicocca, Monza, Italy.
                [53 ]University of Lorraine, Plurithematic Clinical Investigation Centre INSERM CIC-P 1433, INSERM U1116, CHRU Nancy Hopitaux de Brabois, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
                [54 ]Intensive Care Unit, Pitié-Salpétrière Hospital, Paris University, AP-HP, Paris, France.
                [55 ]Department of Clinical Science and K.G. Jebsen Center for Autoimmune Disorders, University of Bergen, Bergen, Norway.
                [56 ]Department of Medicine, Haukeland University Hospital, Bergen, Norway.
                [57 ]Department of Medicine (Solna), Karolinska Institutet, Stockholm, Sweden.
                [58 ]Human Molecular Genetics Laboratory, Institute of Genetics and Biophysics, “A. Buzzati-Traverso” Consiglio Nazionale delle Ricerche, Naples, Italy.
                [59 ]Centro di Ricerca Emato-oncologica AIL (CREA) Laboratory, Diagnostic Department, ASST Spedali Civili di Brescia, Brescia, Italy.
                [60 ]Department of Infectious and Tropical Diseases, University of Brescia and ASST Spedali di Brescia, Brescia, Italy.
                [61 ]Direzione Sanitaria, ASST Spedali Civili di Brescia, Brescia, Italy.
                [62 ]Department of Pediatrics, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
                [63 ]Laboratory of Immunology and Transplantation, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
                [64 ]Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
                [65 ]INSERM CIC 1425, Paris, France.
                [66 ]AP-HP, University Hospital of Bichat, Paris, France.
                [67 ]University Paris Diderot, Paris 7, UFR de Médecine-Bichat, Paris, France.
                [68 ]Infection, Antimicrobials, Modelling, Evolution (IAME), INSERM, UMRS1137, University of Paris, Paris, France.
                [69 ]AP-HP, Bichat Claude Bernard Hospital, Infectious and Tropical Diseases Department, Paris, France.
                [70 ]Center for Human Immunology, NIH, Bethesda, MD, USA.
                [71 ]Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
                [72 ]Département d’Immunologie, AP-HP, Hôpital Pitié-Salpétrière, Paris, France.
                [73 ]Pediatric Hematology and Immunology Unit, Necker Hospital for Sick Children, AP-HP, Paris, France.
                Author notes
                [†]

                These authors contributed equally to this work.

                [‡]

                These authors contributed equally to this work.

                [§]

                All collaborators and their affiliations appear at the end of this paper.

                [¶]

                These authors contributed equally to this work.

                [#]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-5926-8437
                https://orcid.org/0000-0001-5894-3878
                https://orcid.org/0000-0002-9040-3289
                https://orcid.org/0000-0002-9907-4346
                https://orcid.org/0000-0003-0554-0244
                https://orcid.org/0000-0001-9539-3203
                https://orcid.org/0000-0002-4020-824X
                https://orcid.org/0000-0001-5998-2051
                https://orcid.org/0000-0001-9265-8026
                https://orcid.org/0000-0001-7162-9808
                https://orcid.org/0000-0001-6755-791X
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                Article
                abd4585
                10.1126/science.abd4585
                7857397
                32972996
                476da96f-192c-437b-9790-77cd9dc1536a
                Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 June 2020
                : 16 September 2020
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                Laura Zahn
                Julia Katris
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