Type I interferon autoantibody footprints reveal neutralizing mechanisms and allow inhibitory decoy design

Autoantibodies neutralizing type I interferons (IFN-Is; IFNα or IFNω) exacerbate severe viral disease, but specific treatments are unavailable. With footprint profiling, we delineate two dominant IFN-I faces commonly recognized by neutralizing IFN-I autoantibody-containing plasmas from aged individuals with HIV-1 and from individuals with severe COVID-19. These faces overlap with IFN-I regions independently essential for engaging the IFNAR1/IFNAR2 heterodimer, and neutralizing plasmas efficiently block the interaction of IFN-I with both receptor subunits in vitro. In contrast, non-neutralizing autoantibody-containing plasmas limit the interaction of IFN-I with only one receptor subunit and display relatively low IFN-I-binding avidities, thus likely hindering neutralizing function. Iterative engineering of signaling-inert mutant IFN-Is (simIFN-Is) retaining dominant autoantibody targets created potent decoys that prevent IFN-I neutralization by autoantibody-containing plasmas and that restore IFN-I-mediated antiviral activity. Additionally, microparticle-coupled simIFN-Is were effective at depleting IFN-I autoantibodies from plasmas, leaving antiviral antibodies unaffected. Our study reveals mechanisms of action for IFN-I autoantibodies and demonstrates a proof-of-concept strategy to alleviate pathogenic effects.

Publication Details

Journal
Zurich Open Repository and Archive (University of Zurich)
Published
2025-06-02
DOI
https://doi.org/10.5167/uzh-276910
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Type I interferon autoantibody footprints reveal neutralizing mechanisms and allow inhibitory decoy design

Zurich Open Repository and Archive (University of Zurich)
Target Tracking and Data Fusion in Sensor Networks
article

Type I interferon autoantibody footprints reveal neutralizing mechanisms and allow inhibitory decoy design

article en

Abstract

Autoantibodies neutralizing type I interferons (IFN-Is; IFNα or IFNω) exacerbate severe viral disease, but specific treatments are unavailable. With footprint profiling, we delineate two dominant IFN-I faces commonly recognized by neutralizing IFN-I autoantibody-containing plasmas from aged individuals with HIV-1 and from individuals with severe COVID-19. These faces overlap with IFN-I regions independently essential for engaging the IFNAR1/IFNAR2 heterodimer, and neutralizing plasmas efficiently block the interaction of IFN-I with both receptor subunits in vitro. In contrast, non-neutralizing autoantibody-containing plasmas limit the interaction of IFN-I with only one receptor subunit and display relatively low IFN-I-binding avidities, thus likely hindering neutralizing function. Iterative engineering of signaling-inert mutant IFN-Is (simIFN-Is) retaining dominant autoantibody targets created potent decoys that prevent IFN-I neutralization by autoantibody-containing plasmas and that restore IFN-I-mediated antiviral activity. Additionally, microparticle-coupled simIFN-Is were effective at depleting IFN-I autoantibodies from plasmas, leaving antiviral antibodies unaffected. Our study reveals mechanisms of action for IFN-I autoantibodies and demonstrates a proof-of-concept strategy to alleviate pathogenic effects.

Zurich Open Repository and Archive (University of Zurich)
National Science Foundation, Novartis Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Novartis Stiftung für Medizinisch-Biologische Forschung, Université de Genève, Universität Zürich
Good health and well-being
Openalex Percentile: Top 78%
Target Tracking and Data Fusion in Sensor Networks
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Type I interferon autoantibody footprints reveal neutralizing mechanisms and allow inhibitory decoy design · Zurich Open Repository and Archive (University of Zurich) (2025) | TGRS Research Map | TGRS