Insights into standards of care – dexamethasone and antibodies against COVID-19 in hamster models

Abstract Rationale In face of the ongoing SARS-CoV-2 pandemic, effective and well-understood treatment options are still scarce. While vaccines have proven instrumental in fighting SARS-CoV-2, their efficacy is challenged by vaccine hesitancy, novel variants and short-lasting immunity. Therefore, understanding and optimization of therapeutic options remains essential.Objectives We aimed at generating a deeper understanding on how currently used drugs, specifically dexamethasone and anti-SARS-CoV-2 antibodies, affect SARS-CoV-2 infection and host responses. Possible synergistic effects of both substances are investigated to evaluate combinatorial treatments.Methods By using two COVID-19 hamster models, pulmonary immune responses were analyzed to characterize effects of treatment with either dexamethasone, anti-SARS-CoV-2 spike monoclonal antibody or a combination of both. scRNA sequencing was employed to reveal transcriptional response to treatment on a single cell level.Measurements and main results Dexamethasone treatment resulted in similar or increased viral loads compared to controls. Anti-SARS-CoV-2 antibody treatment alone or combined with dexamethasone successfully reduced pulmonary viral burden. Dexamethasone exhibited strong anti-inflammatory effects and prevented fulminant disease in a severe COVID-19-like disease model. Combination therapy showed additive benefits with both anti-viral and anti-inflammatory potency. Bulk and single-cell transcriptomic analyses confirmed dampened inflammatory cell recruitment into lungs upon dexamethasone treatment and identified a candidate subpopulation of neutrophils specifically responsive to dexamethasone.Conclusions Our analyses i) confirm the anti-inflammatory properties and indicate possible modes of action for dexamethasone, ii) validate anti-viral effects of anti-SARS-CoV-2 antibody treatment, and iii) reveal synergistic effects of a combination therapy and can thus inform more effective COVID-19 therapies..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

bioRxiv.org - (2023) vom: 19. Jan. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Wyler, Emanuel [VerfasserIn]
Adler, Julia M. [VerfasserIn]
Eschke, Kathrin [VerfasserIn]
Alves, Gustavo Teixeira [VerfasserIn]
Peidli, Stefan [VerfasserIn]
Pott, Fabian [VerfasserIn]
Kazmierski, Julia [VerfasserIn]
Michalick, Laura [VerfasserIn]
Kershaw, Olivia [VerfasserIn]
Bushe, Judith [VerfasserIn]
Andreotti, Sandro [VerfasserIn]
Pennitz, Peter [VerfasserIn]
Abdelgawad, Azza [VerfasserIn]
Postmus, Dylan [VerfasserIn]
Goffinet, Christine [VerfasserIn]
Kreye, Jakob [VerfasserIn]
Reincke, S Momsen [VerfasserIn]
Prüss, Harald [VerfasserIn]
Blüthgen, Nils [VerfasserIn]
Gruber, Achim D. [VerfasserIn]
Kuebler, Wolfgang M. [VerfasserIn]
Witzenrath, Martin [VerfasserIn]
Landthaler, Markus [VerfasserIn]
Nouailles, Geraldine [VerfasserIn]
Trimpert, Jakob [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2021.12.17.473180

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI033256403