دورية أكاديمية
Modeling antigen-specific T cell dynamics following Hepatitis B Vaccination indicates differences between conventional and regulatory T cell dynamics.
| العنوان: | Modeling antigen-specific T cell dynamics following Hepatitis B Vaccination indicates differences between conventional and regulatory T cell dynamics. |
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| المؤلفون: | Besbassi H; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Antwerp Center for Translational Immunology and Virology (ACTIV), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium. Electronic address: hajar.besbassi@uantwerpen.be., Elias G; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Laboratory of Experimental Hematology (LEH), Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium., Meysman P; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium., Jansens H; Department of Clinical Microbiology, Antwerp University Hospital, Antwerp, Belgium., Laukens K; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Adrem Data Lab, Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium., Damme PV; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium., Hens N; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Data Science Institute (DSI), Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium., Beutels P; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium., Ogunjimi B; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Antwerp Center for Translational Immunology and Virology (ACTIV), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Department of Paediatrics, Antwerp University Hospital, Edegem, Belgium. |
| المصدر: | Vaccine [Vaccine] 2024 Aug 30; Vol. 42 (21), pp. 126148. Date of Electronic Publication: 2024 Jul 30. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 8406899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2518 (Electronic) Linking ISSN: 0264410X NLM ISO Abbreviation: Vaccine Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Amsterdam, The Netherlands : Elsevier Science Original Publication: [Guildford, Surrey, UK] : Butterworths, [c1983- |
| مواضيع طبية MeSH: | T-Lymphocytes, Regulatory*/immunology , Hepatitis B Vaccines*/immunology , Hepatitis B Vaccines*/administration & dosage , Vaccination*, Humans ; Hepatitis B/immunology ; Hepatitis B/prevention & control ; Memory T Cells/immunology ; Male ; Adult ; Female ; Herpesvirus 1, Human/immunology ; Herpesvirus 4, Human/immunology ; Young Adult ; Immunologic Memory/immunology |
| مستخلص: | 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. Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Benson Ogunjimi reports financial support was provided by European Research Council. Benson Ogunjimi reports financial support was provided by Research Foundation Flanders. Philippe Beutels reports financial support was provided by University of Antwerp. Pierre Van Damme reports financial support was provided by University of Antwerp. CONFLICT OF INTEREST STATEMENT: BO declares that the University Hospital Antwerpen and the University of Antwerp have received investigator-initiated grants from Abbvie, Pfizer and Roche. BO is a shareholder and member of the board of ImmuneWatch BV. NH declares that the Universities of Antwerp and Hasselt have received funding for advisory boards and research projects of MSD, GSK, JnJ, Pfizer and the European Commission’s IMI programme outside the proposed work. NH has not received any personal remuneration. PB declares the University of Antwerp received compensation for unrelated consultancy for Pfizer in 2019, research grants from MSD and Pfizer, and the European Commission’s IMI programme. PB has not received any personal remuneration. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. KL is a shareholder and member of the board of ImmuneWatch BV. PM is a shareholder, employee and member of the board of ImmuneWatch BV. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier Ltd. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Immune system; Mathematical models, Mixed-effects modeling; Statistics; T cell dynamics; Vaccination |
| المشرفين على المادة: | 0 (Hepatitis B Vaccines) |
| تواريخ الأحداث: | Date Created: 20240731 Date Completed: 20240821 Latest Revision: 20240821 |
| رمز التحديث: | 20240822 |
| DOI: | 10.1016/j.vaccine.2024.07.049 |
| PMID: | 39084154 |
| قاعدة البيانات: | MEDLINE |
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