ArticleInternational journal of biological sciences2019
A Mathematical Modelling of Initiation of Dendritic Cells-Induced T Cell Immune Response.
Article in International journal of biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Aflatoxin B1 Exposure Suppresses the Migration of Dendritic Cells by Reshaping the Cytoskeleton.International journal of molecular sciences · 2025Article
- Dust mite antigens endow dendritic cells with the capacity to induce a Th2 response by regulating their methylation profiles.Cell communication and signaling : CCS · 2024Article
- Engineering Hydrogels for Modulation of Dendritic Cell Function.Gels (Basel, Switzerland) · 2023Review
- TAFA4-IL-10 axis potentiate immunotherapy for airway allergy by induction of specific regulatory T cells.NPJ vaccines · 2022Article
- Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system.Materials today. Bio · 2022Review
- A model-informed approach to assess the risk of immune checkpoint inhibitor-induced autoimmune myocarditis.Frontiers in pharmacology · 2022Review
Corrections and comments
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Authors and funding
15 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dendritic cells (DCs) are the most potent specialized antigen-presenting cells as now known, which play a crucial role in initiating and amplifying both the innate and adaptive immune responses. Immunologically, the motilities and T cell activation capabilities of DCs are closely related to the resulting immune responses. However, due to the complexity of the immune system, the dynamic changes in the number of cells during the peripheral tissue (e.g. skin and mucosa) immune response induced by DCs are still poorly understood. Therefore, this study simulated dynamic number changes of DCs and T cells in this process by constructing several ordinary differential equations and setting the initial conditions of the functions and parameters. The results showed that these equations could simulate dynamic numerical changes of DCs and T cells in peripheral tissue and lymph node, which was in accordance with the physiological conditions such as the duration of immune response, the proliferation rates and the motilities of DCs and T cells. This model provided a theoretical reference for studying the immunologic functions of DCs and practical guidance for the clinical DCs-based therapy against immune-related diseases.
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Registered trials
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