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http://hdl.handle.net/1942/44271
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DC Field | Value | Language |
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dc.contributor.author | Besbassi, Hajar | - |
dc.contributor.author | Elias, George | - |
dc.contributor.author | Meysman, Pieter | - |
dc.contributor.author | Jansens, Hilde | - |
dc.contributor.author | Laukens, Kris | - |
dc.contributor.author | Van Damme, Pierre | - |
dc.contributor.author | HENS, Niel | - |
dc.contributor.author | Beutels, Philippe | - |
dc.contributor.author | OGUNJIMI, Benson | - |
dc.date.accessioned | 2024-09-20T07:29:16Z | - |
dc.date.available | 2024-09-20T07:29:16Z | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-09-17T12:29:21Z | - |
dc.identifier.citation | Vaccine, 42 (21) (Art N° 126148) | - |
dc.identifier.uri | http://hdl.handle.net/1942/44271 | - |
dc.description.abstract | Our study aims to investigate the dynamics of conventional memory T cells (Tconv) and regulatory memory 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 to 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 Herpes Simplex Virus Type 1 (HSV-1) and Epstein-Barr Virus (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. | - |
dc.description.sponsorship | Funding BO acknowledges funding received from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement c-CELLULO-EPI) and Research Foundation Flanders (FWO), Belgium (grant agreement 1861219N). PB and PVD received UAntwerp funding (Methusalem and concerted research action). Acknowledgments We would like to express our gratitude to Geert Mortier and Viggo Van Tendeloo for their valuable contributions and assistance in this research. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.rights | 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies | - |
dc.subject.other | Immune systemT cell dynamics | - |
dc.subject.other | Mathematical models | - |
dc.subject.other | Vaccination | - |
dc.subject.other | Statistics | - |
dc.title | Modeling antigen-specific T cell dynamics following Hepatitis B Vaccination indicates differences between conventional and regulatory T cell dynamics | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 21 | - |
dc.identifier.volume | 42 | - |
local.format.pages | 13 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Besbassi, H (corresponding author), Univ Antwerp, Vaccine & Infect Dis Inst, Bldg S,Off 251 Campus Drie Eiken Univ Pl, B-12610 Antwerp, Belgium. | - |
dc.description.notes | hajar.besbassi@uantwerpen.be | - |
local.publisher.place | 125 London Wall, London, ENGLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 126148 | - |
local.type.programme | H2020 | - |
local.relation.h2020 | 851752 | - |
dc.identifier.doi | 10.1016/j.vaccine.2024.07.049 | - |
dc.identifier.pmid | 39084154 | - |
dc.identifier.isi | WOS:001284657800001 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Besbassi, Hajar; Hens, Niel; Beutels, Philippe; Ogunjimi, Benson] Univ Antwerp, Vaccine & Infect Dis Inst VAXINFECTIO, Ctr Hlth Econ Res & Modeling Infect Dis CHERMID, Antwerp, Belgium. | - |
local.description.affiliation | [Besbassi, Hajar; Elias, George; Meysman, Pieter; Laukens, Kris; Van Damme, Pierre; Ogunjimi, Benson] Univ Antwerp, Antwerp Unit Data Anal & Computat Immunol & Sequen, Antwerp, Belgium. | - |
local.description.affiliation | [Besbassi, Hajar; Ogunjimi, Benson] Univ Antwerp, Vaccine & Infect Dis Inst VAXINFECTIO, Antwerp Ctr Translat Immunol & Virol ACTIV, Antwerp, Belgium. | - |
local.description.affiliation | [Elias, George] Univ Antwerp, Vaccine & Infect Dis Inst, Lab Expt Hematol LEH, Antwerp, Belgium. | - |
local.description.affiliation | [Meysman, Pieter; Laukens, Kris; Van Damme, Pierre] Univ Antwerp, Dept Math & Comp Sci, Adrem Data Lab, Antwerp, Belgium. | - |
local.description.affiliation | [Jansens, Hilde] Antwerp Univ Hosp, Dept Clin Microbiol, Antwerp, Belgium. | - |
local.description.affiliation | [Van Damme, Pierre] Univ Antwerp, Vaccine & Infect Dis Inst VAXINFECTIO, Ctr Evaluat Vaccinat CEV, Antwerp, Belgium. | - |
local.description.affiliation | [Hens, Niel] UHasselt, Interuniv Inst Biostat & Stat Bioinformat I BioSta, Data Sci Inst DSI, Hasselt, Belgium. | - |
local.description.affiliation | [Ogunjimi, Benson] Antwerp Univ Hosp, Dept Paediat, Edegem, Belgium. | - |
local.uhasselt.international | no | - |
item.fullcitation | Besbassi, Hajar; Elias, George; Meysman, Pieter; Jansens, Hilde; Laukens, Kris; Van Damme, Pierre; HENS, Niel; Beutels, Philippe & OGUNJIMI, Benson (2024) Modeling antigen-specific T cell dynamics following Hepatitis B Vaccination indicates differences between conventional and regulatory T cell dynamics. In: Vaccine, 42 (21) (Art N° 126148). | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
item.contributor | Besbassi, Hajar | - |
item.contributor | Elias, George | - |
item.contributor | Meysman, Pieter | - |
item.contributor | Jansens, Hilde | - |
item.contributor | Laukens, Kris | - |
item.contributor | Van Damme, Pierre | - |
item.contributor | HENS, Niel | - |
item.contributor | Beutels, Philippe | - |
item.contributor | OGUNJIMI, Benson | - |
crisitem.journal.issn | 0264-410X | - |
crisitem.journal.eissn | 1873-2518 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Modeling antigen-specific [formula omitted] cell dynamics following.pdf Restricted Access | Published version | 2.07 MB | Adobe PDF | View/Open Request a copy |
2YRJX.pdf | Peer-reviewed author version | 943.43 kB | Adobe PDF | View/Open |
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