Systems Biology Analysis Reveals Distinct Molecular Signatures Associated with Immune Responsiveness to the BNT162b COVID-19 Vaccine
Overview
Authors
Affiliations
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.
Riemann L, Gutierrez R, Odak I, Barros-Martins J, Roesner L, Leon Lara X EBioMedicine. 2025; 112:105558.
PMID: 39862806 PMC: 11873576. DOI: 10.1016/j.ebiom.2025.105558.
Lurken K, Meinecke A, Manthey L, Cossmann A, Stankov M, Klawonn F Eur J Med Res. 2025; 30(1):34.
PMID: 39819737 PMC: 11736940. DOI: 10.1186/s40001-025-02274-3.
The BNT162b2 mRNA vaccine demonstrates reduced age-associated T1 support and .
Brook B, Checkervarty A, Barman S, Sweitzer C, Bosco A, Sherman A iScience. 2024; 27(11):111055.
PMID: 39569372 PMC: 11576392. DOI: 10.1016/j.isci.2024.111055.