Mathematical model reveals how regulating the three phases of T-cell response could counteract immune evasion
| Autor: | Alexander Lorz, Marcello Edoardo Delitala, Rebecca H. Chisholm, Tommaso Lorenzi, Matteo Melensi |
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| Přispěvatelé: | Modelling and Analysis for Medical and Biological Applications (MAMBA), Laboratoire Jacques-Louis Lions (LJLL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre de Mathématiques et de Leurs Applications (CMLA), École normale supérieure - Cachan (ENS Cachan)-Centre National de la Recherche Scientifique (CNRS), School of Biotechnology and Biomolecular Sciences, University of New South Wales [Sydney] (UNSW), Università degli Studi del Piemonte Orientale - Amedeo Avogadro (UPO), Department of Mathematical Sciences [Torino] (DISMA), Politecnico di Torino = Polytechnic of Turin (Polito), ANR-13-BS01-0004,KIBORD,Modèles cinétiques en biologie et domaines connexes(2013), ANR-11-LABX-0056,LMH,LabEx Mathématique Hadamard(2011) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Time Factors
medicine.medical_treatment T-Lymphocytes Immunology T cells Biology T cell response Lymphocyte Activation memory Immune system mathematical modelling theoretical immunology vaccination Antigen medicine Immunology and Allergy Animals Humans [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP] Computer Simulation Antigens Cell Proliferation Immune Evasion Cell Death Mathematical modelling Models Immunological Interleukin Numerical Analysis Computer-Assisted Immunotherapy Original Articles [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] Cell biology [SDV.IMM]Life Sciences [q-bio]/Immunology Immunologic Memory |
| Zdroj: | Immunology Immunology, Wiley, 2015, 146 (2), pp.271-280. ⟨10.1111/imm.12500⟩ Immunology, 2015, 146 (2), pp.271-280. ⟨10.1111/imm.12500⟩ |
| ISSN: | 0019-2805 1365-2567 |
| Popis: | International audience; T cells are key players in immune action against the invasion of target cells expressing non-self antigens. During an immune response, antigen-specific T cells dynamically sculpt the antigenic distribution of target cells, and target cells concurrently shape the host's repertoire of antigen-specific T cells. The succession of these reciprocal selective sweeps can result in ‘chase-and-escape’ dynamics and lead to immune evasion. It has been proposed that immune evasion can be countered by immunotherapy strategies aimed at regulating the three phases of the immune response orchestrated by antigen-specific T cells: expansion, contraction and memory. Here, we test this hypothesis with a mathematical model that considers the immune response as a selection contest between T cells and target cells. The outcomes of our model suggest that shortening the duration of the contraction phase and stabilizing as many T cells as possible inside the long-lived memory reservoir, using dual immunotherapies based on the cytokines interleukin-7 and/or interleukin-15 in combination with molecular factors that can keep the immunomodulatory action of these interleukins under control, should be an important focus of future immunotherapy research. |
| Databáze: | OpenAIRE |
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