Chakraborty Dipanjan, Batabyal Saikat, Ganusov Vitaly V
Host-Pathogen Interactions program, Texas Biomedical Research Institute, San Antonio, TX 78277, USA.
Department of Microbiology, University of Tennessee, Knoxville, TN37996, USA.
Front Appl Math Stat. 2024;10. doi: 10.3389/fams.2024.1355373. Epub 2024 Jan 30.
Tuberculosis (), a disease caused by bacteria Mycobacterium tuberculosis (), remains one of the major infectious diseases of humans with 10 million TB cases and 1.5 million deaths due to TB worldwide yearly. Upon exposure of a new host to Mtb, bacteria typically infect one local site in the lung, but over time, Mtb disseminates in the lung and in some cases to extrapulmonary sites. The contribution of various host components such as immune cells to Mtb dynamics in the lung, its dissemination in the lung and outside of the lung, remains incompletely understood. Here we overview different types of mathematical models used to gain insights in within-host dynamics of Mtb; these include models based on ordinary or partial differential equations ( and ), stochastic simulation models based on ODEs, agent-based models (), and hybrid models (ODE-based models linked to ABMs). We illustrate results from several of such models and identify areas for future resesarch.
结核病（TB）是由结核分枝杆菌（Mtb）引起的一种疾病，仍然是人类主要的传染病之一，全球每年有1000万例结核病病例，150万人死于结核病。当新宿主接触Mtb时，细菌通常感染肺部的一个局部部位，但随着时间的推移，Mtb会在肺部扩散，在某些情况下还会扩散到肺外部位。各种宿主成分（如免疫细胞）对肺部Mtb动态变化、其在肺部及肺外扩散的作用仍未完全了解。在这里，我们概述了用于深入了解Mtb宿主内动态变化的不同类型数学模型；这些模型包括基于常微分方程或偏微分方程的模型（以及）、基于常微分方程的随机模拟模型、基于主体的模型（ABM）以及混合模型（与ABM链接的基于常微分方程的模型）。我们展示了其中几个此类模型的结果，并确定了未来研究的领域。
