模拟宿主免疫反应、细菌动力学和炎症损伤之间的相互作用,与免疫调节和疫苗接种实验进行比较

Angela M. Jarrett;N.G. Cogan;M.E. Shirtliff
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引用次数: 17

摘要

免疫系统是一个由化学和细胞相互作用组成的复杂系统,它对发出感染信号的队列反应迅速,一旦挑战消除,就会恢复到基本水平。在这里,我们使用常微分方程,提出了一个免疫系统对金黄色葡萄球菌(s.aureus)感染反应的通用四组分模型。为了将感染和免疫系统结合起来,我们采用了将系统分隔开来的方式,将细菌动力学、对宿主的损伤和炎症以及宿主反应包括在内。我们纳入了以前没有代表的相互作用,包括炎症/损伤和感染之间的串扰,以及对炎症/损伤的抗炎途径的抑制。因此,代表健康状态的系统中最相关的平衡是一个全正的基础水平。该模型能够捕捉因金黄色葡萄球菌引起的胫骨内骨髓炎的小鼠的八种不同实验结果,主要涉及免疫调节和疫苗治疗。为了进一步验证和参数探索,我们进行了参数敏感性分析,这表明该模型在参数变化方面非常稳定,表明了潜在的免疫调节策略,并为不同小鼠株的免疫潜力差异提供了可能的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modelling the interaction between the host immune response, bacterial dynamics and inflammatory damage in comparison with immunomodulation and vaccination experiments

Modelling the interaction between the host immune response, bacterial dynamics and inflammatory damage in comparison with immunomodulation and vaccination experiments

Modelling the interaction between the host immune response, bacterial dynamics and inflammatory damage in comparison with immunomodulation and vaccination experiments
The immune system is a complex system of chemical and cellular interactions that responds quickly to queues that signal infection and then reverts to a basal level once the challenge is eliminated. Here, we present a general, four-component model of the immune system's response to a Staphylococcal aureus (S. aureus) infection, using ordinary differential equations. To incorporate both the infection and the immune system, we adopt the style of compartmenting the system to include bacterial dynamics, damage and inflammation to the host, and the host response. We incorporate interactions not previously represented including cross-talk between inflammation/damage and the infection and the suppression of the anti-inflammatory pathway in response to inflammation/damage. As a result, the most relevant equilibrium of the system, representing the health state, is an all-positive basal level. The model is able to capture eight different experimental outcomes for mice challenged with intratibial osteomyelitis due to S. aureus, primarily involving immunomodulation and vaccine therapies. For further validation and parameter exploration, we perform a parameter sensitivity analysis which suggests that the model is very stable with respect to variations in parameters, indicates potential immunomodulation strategies and provides a possible explanation for the difference in immune potential for different mouse strains.
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