Modeling Antigen-Specific T Cell Dynamics Following Hepatitis B Vaccination indicates differences between conventional and regulatory T cell dynamics
H. Besbassi, G. Elias, P. Meysman, H. Jansens, K. Laukens, P. Van Damme, P. Thomas, N. Hens, P. Beutels, B. Ogunjimi
Abstract
Our study aims to investigate the dynamics of conventional memory T cells (Tconv) and regulatory T cells (Treg) following activation, and to explore potential differences between these two cell types. To achieve this, we developed advanced statistical mixed models based on mathematical models of ordinary differential equations (ODE), which allowed us to transform post-vaccination immunological processes into mathematical formulas. These models were applied on in-house data from a de novo Hepatitis B vaccination trial. By accounting for inter- and intra-individual variability, our models provided good fits for both antigen-specific Tconv and Treg cells, overcoming the challenge of studying these complex processes. Our modeling approach provided a deeper understanding of the immunological processes underlying T cell development after vaccination. Specifically, our analysis revealed several important findings regarding the dynamics of Tconv and Treg cells, as well as their relationship to seropositivity for HSV-1 and EBV, and the dynamics of antibody response to vaccination. Firstly, our modeling indicated that Tconv dynamics suggest the existence of two T cell types, in contrast to Treg dynamics where only one T cell type is predicted. Secondly, we found that individuals who converted to a positive antibody response to the vaccine earlier had lower decay rates for both Tregs and Tconv cells, which may have important implications for the development of more effective vaccination strategies. Additionally, our modeling showed that HSV-1 seropositivity negatively influenced Tconv cell expansion after the second vaccination, while EBV seropositivity was associated with higher Treg expansion rates after vaccination. Overall, this study provides a critical foundation for understanding the dynamic processes underlying T cell development after vaccination.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Preexisting memory CD4 T cells in nÏave individuals confer robust immunity upon hepatitis B vaccination
G. Elias, P. Meysman, … B. Ogunjimi·bioRxiv·Aug 22, 2020
- A Multiclass Mechanistic Model of Vaccine-Induced Humoral Response
Sarafa Adewale Iyaniwura, Bryan T. Mayer, … Olivier Hyrien·bioRxiv·Oct 20, 2026
- An ODE-based mixed modelling approach for B- and T-cell dynamics induced by Varicella-Zoster Virus vaccines in adults shows higher T-cell proliferation with Shingrix compared to Varilrix
N. Keersmaekers, B. Ogunjimi, … N. Hens·bioRxiv·Jun 15, 2018
- Tfh dysfunction is associated with poor responses to HBV vaccination
Han M. Chen, Elizabeth Severa, … Ramin S. Herati·bioRxiv·Sep 30, 2026
- Insights into B Cell and Antibody Kinetics Against SARS-CoV-2 Variants Using Mathematical Modelling
S. Farhang-Sardroodi, X. Deng, … M. Craig·bioRxiv·Nov 10, 2023
- Multi-view learning to unravel the different levels underlying hepatitis B vaccine response
Fabio Affaticati, Esther Bartholomeus, … Pieter Meysman·VaccinesPeer-reviewed·Jul 13, 2023