Benjamin R. Babcock, Astrid Kosters, Devon J. Eddins, Maria Sophia Baluyot Donaire, Sannidhi Sarvadhavabhatla, Vivian Pae, Fiona Beltran, Victoria W. Murray, Gurjot Gill, Guorui Xie, Brian S. Dobosh, Vincent D. Giacalone, Rabindra M. Tirouvanziam, Richard P. Ramonell, Scott A. Jenks, Ignacio Sanz, F. Eun-Hyung Lee, Nadia R. Roan, Sulggi A. Lee, Eliver E. B. Ghosn
{"title":"气道中的一过性抗干扰素自身抗体与 COVID-19 的恢复有关","authors":"Benjamin R. Babcock, Astrid Kosters, Devon J. Eddins, Maria Sophia Baluyot Donaire, Sannidhi Sarvadhavabhatla, Vivian Pae, Fiona Beltran, Victoria W. Murray, Gurjot Gill, Guorui Xie, Brian S. Dobosh, Vincent D. Giacalone, Rabindra M. Tirouvanziam, Richard P. Ramonell, Scott A. Jenks, Ignacio Sanz, F. Eun-Hyung Lee, Nadia R. Roan, Sulggi A. Lee, Eliver E. B. Ghosn","doi":"10.1126/scitranslmed.adq1789","DOIUrl":null,"url":null,"abstract":"<div >Preexisting anti–interferon-α (anti–IFN-α) autoantibodies in blood are associated with susceptibility to life-threatening COVID-19. However, it is unclear whether anti–IFN-α autoantibodies in the airways, the initial site of infection, can also determine disease outcomes. In this study, we developed a multiparameter technology, FlowBEAT, to quantify and profile the isotypes of anti–severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and anti–IFN-α antibodies in longitudinal samples collected over 20 months from the airways and blood of 129 donors spanning mild to severe COVID-19. We found that nasal IgA1 anti–IFN-α autoantibodies were induced after infection onset in more than 70% of mild and moderate COVID-19 cases and were associated with robust anti–SARS-CoV-2 immunity, fewer symptoms, and efficient recovery. Nasal anti–IFN-α autoantibodies followed the peak of host IFN-α production and waned with disease recovery, revealing a regulated balance between IFN-α and anti–IFN-α response. In contrast, systemic IgG1 anti–IFN-α autoantibodies appeared later and were detected only in a subset of patients with elevated systemic inflammation and worsening symptoms. These data reveal a protective role for nasal anti–IFN-α in the immunopathology of COVID-19 and suggest that anti–IFN-α autoantibodies may serve a homeostatic function to regulate host IFN-α after viral infection in the respiratory mucosa.</div>","PeriodicalId":21580,"journal":{"name":"Science Translational Medicine","volume":"16 772","pages":""},"PeriodicalIF":15.8000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transient anti-interferon autoantibodies in the airways are associated with recovery from COVID-19\",\"authors\":\"Benjamin R. Babcock, Astrid Kosters, Devon J. Eddins, Maria Sophia Baluyot Donaire, Sannidhi Sarvadhavabhatla, Vivian Pae, Fiona Beltran, Victoria W. Murray, Gurjot Gill, Guorui Xie, Brian S. Dobosh, Vincent D. Giacalone, Rabindra M. Tirouvanziam, Richard P. Ramonell, Scott A. Jenks, Ignacio Sanz, F. Eun-Hyung Lee, Nadia R. Roan, Sulggi A. Lee, Eliver E. B. Ghosn\",\"doi\":\"10.1126/scitranslmed.adq1789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div >Preexisting anti–interferon-α (anti–IFN-α) autoantibodies in blood are associated with susceptibility to life-threatening COVID-19. However, it is unclear whether anti–IFN-α autoantibodies in the airways, the initial site of infection, can also determine disease outcomes. In this study, we developed a multiparameter technology, FlowBEAT, to quantify and profile the isotypes of anti–severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and anti–IFN-α antibodies in longitudinal samples collected over 20 months from the airways and blood of 129 donors spanning mild to severe COVID-19. We found that nasal IgA1 anti–IFN-α autoantibodies were induced after infection onset in more than 70% of mild and moderate COVID-19 cases and were associated with robust anti–SARS-CoV-2 immunity, fewer symptoms, and efficient recovery. Nasal anti–IFN-α autoantibodies followed the peak of host IFN-α production and waned with disease recovery, revealing a regulated balance between IFN-α and anti–IFN-α response. In contrast, systemic IgG1 anti–IFN-α autoantibodies appeared later and were detected only in a subset of patients with elevated systemic inflammation and worsening symptoms. 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Transient anti-interferon autoantibodies in the airways are associated with recovery from COVID-19
Preexisting anti–interferon-α (anti–IFN-α) autoantibodies in blood are associated with susceptibility to life-threatening COVID-19. However, it is unclear whether anti–IFN-α autoantibodies in the airways, the initial site of infection, can also determine disease outcomes. In this study, we developed a multiparameter technology, FlowBEAT, to quantify and profile the isotypes of anti–severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and anti–IFN-α antibodies in longitudinal samples collected over 20 months from the airways and blood of 129 donors spanning mild to severe COVID-19. We found that nasal IgA1 anti–IFN-α autoantibodies were induced after infection onset in more than 70% of mild and moderate COVID-19 cases and were associated with robust anti–SARS-CoV-2 immunity, fewer symptoms, and efficient recovery. Nasal anti–IFN-α autoantibodies followed the peak of host IFN-α production and waned with disease recovery, revealing a regulated balance between IFN-α and anti–IFN-α response. In contrast, systemic IgG1 anti–IFN-α autoantibodies appeared later and were detected only in a subset of patients with elevated systemic inflammation and worsening symptoms. These data reveal a protective role for nasal anti–IFN-α in the immunopathology of COVID-19 and suggest that anti–IFN-α autoantibodies may serve a homeostatic function to regulate host IFN-α after viral infection in the respiratory mucosa.
期刊介绍:
Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research.
The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases.
The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine.
The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.