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Transient anti-interferon autoantibodies in the airways are associated with efficient recovery from COVID-19 (preprint)
medrxiv; 2024.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2024.01.11.24301000
ABSTRACT
Pre-existing anti-interferon alpha (anti-IFN-) autoantibodies in blood are associated with susceptibility to life-threatening COVID-19. However, it is unclear whether anti-IFN- autoantibodies in the airways - the initial site of infection - can also determine disease outcomes. In this study, we developed a new multiparameter technology, flowBEAT, to quantify and profile the isotypes of anti-IFN- and anti-SARS-CoV-2 antibodies in longitudinal samples collected over 20 months from the airway and matching blood of 129 donors with mild, moderate, and severe COVID-19. We found unexpectedly that nasal anti-IFN- autoantibodies were induced post-infection onset in more than 70% of mild to moderate COVID-19 cases and associated with robust anti-SARS-CoV-2 immunity, fewer symptoms, and efficient recovery. Nasal anti-IFN- autoantibodies followed the peak of host IFN- production and waned with disease recovery, revealing a regulated balance between IFN- and anti-IFN- response. Notably, only a subset of mild to moderate patients progressed to develop systemic anti-IFN-, which correlated with systemic inflammation and worsened symptoms. In contrast, patients with life-threatening COVID-19 sustained elevated anti-IFN- in both airways and blood, coupled with uncontrolled viral load and IFN- production. Our studies thereby reveal a novel protective role for nasal anti-IFN- autoantibodies in the immunopathology of COVID-19 and, more broadly, suggest that anti-IFN- may serve an important regulatory function to restore homeostasis following viral invasion of the respiratory mucosa.
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Full text: Available Collection: Preprints Database: medRxiv Main subject: COVID-19 / Inflammation Language: English Year: 2024 Document Type: Preprint

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Full text: Available Collection: Preprints Database: medRxiv Main subject: COVID-19 / Inflammation Language: English Year: 2024 Document Type: Preprint