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van Panhuys, N.

Publications and source records attributed to van Panhuys, N..

2 recordsLinked to original sources

Temporal Dynamics of Transcriptional Responses to Repeated mRNA Vaccination: Insights from Third Dose Profiling

mRNA vaccines have played a crucial role in combating the COVID-19 pandemic, but the long-term dynamics of immune responses to repeated vaccination remain poorly understood. In this study, we extend our previous work on first and second dose responses by characterizing the immune signatures elicited by a third dose of COVID-19 mRNA vaccines using high-resolution temporal profiling of blood transcriptomes collected daily for 9 days post-vaccination. We observed distinct patterns of gene expression related to interferon responses, inflammation, erythroid cell signatures, and plasmablast activity across the three doses. While the first dose elicited a modest response primarily characterized by interferon signaling, the second dose induced a robust, polyfunctional response. The third dose, administered approximately nine months later, maintained this polyfunctional character and matched the second dose in magnitude, though with distinct temporal dynamics. The interferon component peaked on day 2 (similar to the first dose) rather than day 1 (as seen in the second dose), while the erythroid signature showed a markedly different trajectory, with sustained elevation rather than decrease over the following week. Notably, we observed a progressive amplification of the plasmablast response across the three doses, with an earlier peak (day 4) compared to other vaccines, potentially a unique feature of mRNA vaccines. These findings demonstrate that the heightened, polyfunctional responsiveness induced by the second dose is robustly maintained even after a prolonged interval, suggesting effective immune memory. Our results contribute to understanding mRNA vaccine-induced immunity, with implications for optimizing booster strategies and developing next-generation vaccines.

immunology↗

Initial TCR Signal Strength Imprints GATA3 and Tbet Expression Driving T-helper Cell Fate Decisions

With the exception of the T-helper 2 (Th2) subset, cytokine driven pathways provide a robust mechanistic explanation for the observed outcomes of CD4+ T-cell differentiation. Using a quantitative model of activation, we studied the integration of TCR-signal-strength with cytokine signalling during Th2 differentiation. Upon the initial activation of Th-naive cells, TCR signalling was found to set early expression levels for the master regulators of differentiation Tbet and GATA3, independent of the presence of polarizing cytokines. Subsequently cytokine stimuli modulated transcription factor (TF) expression levels to tune the outcome of differentiation. Here, weak TCR signalling was sufficient to drive the early upregulation of GATA3 and induce Th2 differentiation, in an IL-4 independent manner. Th1 differentiation was however shown to require additional cytokine signalling input, either in the form of autocrine IFN{gamma} or exogenous IL-12. Using mathematical modelling we demonstrate that T-helper differentiation occurs along a continuum of states. Set by the relative co-expression of regulatory TFs, where effector cytokine production is controlled in a probabilistic manner determined by the relative levels GATA3 and Tbet expressed. Together, our data indicate TCR signalling inputs drive an early bifurcation in the T-helper differentiation pathway. Together, the integration of TCR signal strength with cytokine inputs act as a mechanism for the detection of immuno-evasive parasitic infections, whilst providing an additional checkpoint to prevent aberrant Th1 associated immunopathology.

immunology↗