Transient anti-interferon autoantibodies in the airways are associated with recovery from COVID-19

IF 15.8 1区 医学 Q1 CELL BIOLOGY Science Translational Medicine Pub Date : 2024-11-06 DOI:10.1126/scitranslmed.adq1789
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
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Abstract

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.
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气道中的一过性抗干扰素自身抗体与 COVID-19 的恢复有关
血液中预先存在的抗干扰素-α(anti-IFN-α)自身抗体与易患危及生命的 COVID-19 相关。然而,目前还不清楚呼吸道这一最初感染部位的抗IFN-α自身抗体是否也能决定疾病的结局。在这项研究中,我们开发了一种多参数技术--FlowBEAT,以量化和剖析在 20 个月内从 129 名从轻度到重度 COVID-19 的捐献者的气道和血液中收集的纵向样本中抗严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)和抗 IFN-α 抗体的同工型。我们发现,在 70% 以上的轻度和中度 COVID-19 病例中,鼻腔 IgA1 抗 IFN-α 自身抗体是在感染开始后诱导产生的,并且与强大的抗 SARS-CoV-2 免疫力、较少的症状和高效的康复有关。鼻腔抗IFN-α自身抗体随着宿主IFN-α产生的高峰而产生,并随着疾病的恢复而减弱,这揭示了IFN-α和抗IFN-α反应之间的调节平衡。与此相反,全身性 IgG1 抗 IFN-α 自身抗体出现较晚,只有在全身炎症加剧和症状恶化的部分患者中才能检测到。这些数据揭示了鼻腔抗IFN-α在COVID-19免疫病理学中的保护作用,并表明抗IFN-α自身抗体可能具有调节呼吸道粘膜病毒感染后宿主IFN-α的平衡功能。
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来源期刊
Science Translational Medicine
Science Translational Medicine CELL BIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
26.70
自引率
1.20%
发文量
309
审稿时长
1.7 months
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.
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