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Article

Modeling the Dependence of Immunodominance on T Cell Dynamics in Prime-Boost Vaccines

1
Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040 Madrid, Spain
2
Grupo Interdisciplinar de Sistemas Complejos (GISC), 28040 Madrid, Spain
3
Departamento de Matemática Aplicada, Universidad Complutense de Madrid, 28040 Madrid, Spain
4
Departamento de Ecología, Universidad Complutense de Madrid, 28040 Madrid, Spain
5
Instituto de Medicina Molecular (iMM), 1649-028 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Mathematics 2021, 9(1), 28; https://doi.org/10.3390/math9010028
Received: 30 November 2020 / Revised: 16 December 2020 / Accepted: 18 December 2020 / Published: 24 December 2020
(This article belongs to the Special Issue Modelling and Analysis in Biomathematics)
The protection induced by vaccines against infectious diseases such as malaria, dengue or hepatitis relies on a the creation of immune memory by T cells, key components of the human immune system. The induction of a strong T cell response leading to long lasting memory can be improved by using prime-boost (PB) vaccines, which consist in successive inoculations of appropriate vectors carrying target antigens that can be recognized by specific T cell clones. A problem faced by PB vaccines is the fact that T cell response is often biased towards a few clones that can identify only a small set of antigens, out of the many that could be displayed by the pathogen. This phenomenon, known as immunodominance, can significantly compromise the effectiveness of vaccination. In this work we will use mathematical modeling to better understand the role of T cell population dynamics in the onset of immunodominance in PB vaccines. In particular, we will use mathematical analysis and simulations to compare single-dose vaccines with PB ones, both for homologous (where the same antigen is used in every shot) and heterologous protocols (in which different antigens are used at each step). View Full-Text
Keywords: T cells; immunodominance; population mechanics; prime-boost vaccines T cells; immunodominance; population mechanics; prime-boost vaccines
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MDPI and ACS Style

Arias, C.F.; Herrero, M.A.; Bertocchini, F.; Acosta, F.J.; Fernandez-Arias, C. Modeling the Dependence of Immunodominance on T Cell Dynamics in Prime-Boost Vaccines. Mathematics 2021, 9, 28. https://doi.org/10.3390/math9010028

AMA Style

Arias CF, Herrero MA, Bertocchini F, Acosta FJ, Fernandez-Arias C. Modeling the Dependence of Immunodominance on T Cell Dynamics in Prime-Boost Vaccines. Mathematics. 2021; 9(1):28. https://doi.org/10.3390/math9010028

Chicago/Turabian Style

Arias, Clemente F., Miguel A. Herrero, Federica Bertocchini, Francisco J. Acosta, and Cristina Fernandez-Arias. 2021. "Modeling the Dependence of Immunodominance on T Cell Dynamics in Prime-Boost Vaccines" Mathematics 9, no. 1: 28. https://doi.org/10.3390/math9010028

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