Systems biology analysis reveals distinct molecular signatures associated with immune responsiveness to the BNT162b COVID-19 vaccineResearch in context

Background: Human immune responses to COVID-19 vaccines display a large heterogeneity of induced immunity and the underlying immune mechanisms for this remain largely unknown. Methods: Using a systems biology approach, we longitudinally profiled a unique cohort of female high and low responders to t...

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Veröffentlicht in:EBioMedicine 2024-01, Vol.99, p.104947
Hauptverfasser: Ivan Odak, Lennart Riemann, Inga Sandrock, Anne Cossmann, Gema Morillas Ramos, Swantje I. Hammerschmidt, Christiane Ritter, Michaela Friedrichsen, Ahmed Hassan, Alexandra Dopfer-Jablonka, Metodi V. Stankov, Leonie M. Weskamm, Marylyn M. Addo, Inga Ravens, Stefanie Willenzon, Anja Schimrock, Jasmin Ristenpart, Anika Janssen, Joana Barros-Martins, Gesine Hansen, Christine Falk, Georg M.N. Behrens, Reinhold Förster
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Sprache:eng
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Zusammenfassung:Background: Human immune responses to COVID-19 vaccines display a large heterogeneity of induced immunity and the underlying immune mechanisms for this remain largely unknown. Methods: Using a systems biology approach, we longitudinally profiled a unique cohort of female high and low responders to the BNT162b vaccine, who were known from previous COVID-19 vaccinations to develop maximum and minimum immune responses to the vaccine. We utilized high dimensional flow cytometry, bulk and single cell mRNA sequencing and 48-plex serum cytokine analyses. Findings: We revealed early, transient immunological and molecular signatures that distinguished high from low responders and correlated with B and T cell responses measured 14 days later. High responders featured a distinct transcriptional activity of interferon-driven genes and genes connected to enhanced antigen presentation. This was accompanied by a robust cytokine response related to Th1 differentiation. Both transcriptome and serum cytokine signatures were confirmed in two independent confirmatory cohorts. Interpretation: Collectively, our data contribute to a better understanding of the immunogenicity of mRNA-based COVID-19 vaccines, which might lead to the optimization of vaccine designs for individuals with poor vaccine responses. Funding: German Center for Infection Research, German Center for Lung Research, German Research Foundation, Excellence Strategy EXC 2155 “RESIST” and European Regional Development Fund.
ISSN:2352-3964