A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.
A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.
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DOI：
10.1016/j.coisb.2017.05.014
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发表时间：
2017-06-01
影响因子：
3.7
通讯作者：
Linderman, Jennifer J
中科院分区：
文献类型：
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作者：
Kirschner, Denise;Pienaar, Elsje;Linderman, Jennifer J
结核病（TB）是一种古老而致命的疾病，其特征是复杂的宿主-病原体动力学在多个时间和长度尺度以及生理分区上发挥作用。计算建模可用于整合各种类型的实验数据，并提出新的结核病假设、机制和治疗方法。在这里，我们提供了第一次全面审查的工作，在宿主内结核病模型，描述宿主的免疫反应，感染，包括肺肉芽肿的形成。这些模型包括常微分方程和偏微分方程系统、基于代理的模型以及这些模型的组合的混合和多尺度模型。M.已经探索了结核病感染，包括肺中的宿主动力学（结核病感染的典型部位）、肉芽肿形成、细胞因子和趋化因子动力学的作用以及细菌营养可用性。最后，我们调查了这些宿主内模型在结核病治疗和预防中的应用，并提出了未来影响这一全球性疾病的方向。
Tuberculosis (TB) is an ancient and deadly disease characterized by complex host-pathogen dynamics playing out over multiple time and length scales and physiological compartments. Computational modeling can be used to integrate various types of experimental data and suggest new hypotheses, mechanisms, and therapeutic approaches to TB. Here, we offer a first-time comprehensive review of work on within-host TB models that describe the immune response of the host to infection, including the formation of lung granulomas. The models include systems of ordinary and partial differential equations and agent-based models as well as hybrid and multi-scale models that are combinations of these. Many aspects of M. tuberculosis infection, including host dynamics in the lung (typical site of infection for TB), granuloma formation, roles of cytokine and chemokine dynamics, and bacterial nutrient availability have been explored. Finally, we survey applications of these within-host models to TB therapy and prevention and suggest future directions to impact this global disease.