Abstract
Tuberculosis (TB) is caused by a bacterium called Mycobacterium tuberculosis (Mtb). When Mtb enters inside the pulmonary alveolus, it is phagocytosed by the alveolar macrophages, followed by a cascade of immune responses. This leads to the recruitment and accumulation of additional macrophages and T cells in the pulmonary tissues. A key outcome of this is the formation of granuloma, the hallmark of TB infection. In this paper, we develop a mathematical model of the evolution of granuloma by a system of partial differential equations that is based on the classical Keller–Segel chemotaxis equation. We investigate the effect of different parameters on the formation of granuloma. We present numerical simulation results that illustrate the impact of different parameters. The implication of our result on the disease progression is also discussed.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: The project was done in the summer of 2022 thanks to the generous support from Seider Fund.
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Data availability: Not applicable.
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- New LMI constraint-based settling-time estimation for finite-time stability of fractional-order neural networks
- A spatial model to understand tuberculosis granuloma formation and its impact on disease progression
- Oscillatory nonlinear thermal instability in nanoliquid under gravity modulation within Hele-Shaw cell
- Fuzzy neutral fractional integro-differential equation existence and stability results involving the Caputo fractional generalized Hukuhara derivative
- A mathematical model to study herbal and modern treatments against COVID-19
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Articles in the same Issue
- Frontmatter
- Research Articles
- New LMI constraint-based settling-time estimation for finite-time stability of fractional-order neural networks
- A spatial model to understand tuberculosis granuloma formation and its impact on disease progression
- Oscillatory nonlinear thermal instability in nanoliquid under gravity modulation within Hele-Shaw cell
- Fuzzy neutral fractional integro-differential equation existence and stability results involving the Caputo fractional generalized Hukuhara derivative
- A mathematical model to study herbal and modern treatments against COVID-19
- Study of explicit travelling wave solutions of nonlinear (2 + 1)-dimensional Zoomeron model in mathematical physics