Early and rapid identification of COVID-19 patients with neutralizing type I-interferon auto-antibodies by an easily implementable algorithm

ABSTRACT Purpose Six-19% of critically ill COVID-19 patients display circulating auto-antibodies against type I interferons (IFN-AABs). Here, we establish a clinically applicable strategy for early identification of IFN-AAB-positive patients for potential subsequent clinical interventions.Methods We analysed sera of 430 COVID-19 patients with severe and critical disease from four hospitals for presence of IFN-AABs by ELISA. Binding specificity and neutralizing activity were evaluated via competition assay and virus-infection-based neutralization assay. We defined clinical parameters associated with IFN-AAB positivity. In a subgroup of critically ill patients, we analyzed effects of therapeutic plasma exchange (TPE) on the levels of IFN-AABs, SARS-CoV-2 antibodies and clinical outcome.Results The prevalence of neutralizing AABs to IFN-α and IFN-ω in COVID-19 patients was 4.2% (18/430), while being undetectable in an uninfected control cohort. Neutralizing IFN-AABs were detectable exclusively in critically affected, predominantly male (83%) patients (7.6% IFN-α and 4.6% IFN-ω in 207 patients with critical COVID-19). IFN-AABs were present early post-symptom onset and at the peak of disease. Fever and oxygen requirement at hospital admission co-presented with neutralizing IFN-AAB positivity. IFN-AABs were associated with higher mortality (92.3% versus 19.1 % in patients without IFN-AABs). TPE reduced levels of IFN-AABs in three of five patients and may increase survival of IFN-AAB-positive patients compared to those not undergoing TPE.Conclusion IFN-AABs may serve as early biomarker for development of severe COVID-19. We propose to implement routine screening of hospitalized COVID-19 patients according to our algorithm for rapid identification of patients with IFN-AABs who most likely benefit from specific therapies..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

bioRxiv.org - (2023) vom: 12. Nov. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Akbil, Bengisu [VerfasserIn]
Meyer, Tim [VerfasserIn]
Stubbemann, Paula [VerfasserIn]
Thibeault, Charlotte [VerfasserIn]
Staudacher, Olga [VerfasserIn]
Niemeyer, Daniela [VerfasserIn]
Jansen, Jenny [VerfasserIn]
Mühlemann, Barbara [VerfasserIn]
Doehn, Jan [VerfasserIn]
Tabeling, Christoph [VerfasserIn]
Nusshag, Christian [VerfasserIn]
Hirzel, Cédric [VerfasserIn]
Sanchez, David Sökler [VerfasserIn]
Nieters, Alexandra [VerfasserIn]
Lother, Achim [VerfasserIn]
Duerschmied, Daniel [VerfasserIn]
Schallner, Nils [VerfasserIn]
Lieberum, Jan Nikolaus [VerfasserIn]
August, Dietrich [VerfasserIn]
Rieg, Siegbert [VerfasserIn]
Falcone, Valeria [VerfasserIn]
Hengel, Hartmut [VerfasserIn]
Kölsch, Uwe [VerfasserIn]
Unterwalder, Nadine [VerfasserIn]
Hübner, Ralf-Harto [VerfasserIn]
Jones, Terry C. [VerfasserIn]
Suttorp, Norbert [VerfasserIn]
Drosten, Christian [VerfasserIn]
Warnatz, Klaus [VerfasserIn]
Spinetti, Thibaud [VerfasserIn]
Schefold, Joerg C. [VerfasserIn]
Dörner, Thomas [VerfasserIn]
Sander, Leif [VerfasserIn]
Corman, Victor M. [VerfasserIn]
Merle, Uta [VerfasserIn]
Kurth, Florian [VerfasserIn]
von Bernuth, Horst [VerfasserIn]
Meisel, Christian [VerfasserIn]
Goffinet, Christine [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2021.11.12.21266249

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI033015538