Assessing mathematical models of influenza infections using features of the immune response.
Assessing mathematical models of influenza infections using features of the immune response.
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DOI：
10.1371/journal.pone.0057088
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Beauchemin CA
中科院分区：
文献类型：
--
作者：
Dobrovolny HM;Reddy MB;Kamal MA;Rayner CR;Beauchemin CA
宿主免疫反应在决定流感感染的严重程度和持续时间方面的作用尚不清楚。为了识别严重因素并更准确地预测人类宿主内流感感染的过程，需要了解宿主因素对感染过程的影响。尽管缺乏足够多样化的实验数据来描述各种免疫反应成分的时间进程，但已发表的数学模型是根据有限的人类或动物数据使用各种策略和简化假设构建的。为了评估这些模型的有效性，我们收集了以前发表的关于细胞毒性T淋巴细胞、抗体和干扰素的动力学和作用的实验数据，并确定了它们的作用的定性关键特征，这些特征应该通过数学模型来捕捉。我们通过与实验数据对抗来测试这些现有的模型，并发现没有一个单一的模型与实验观察到的当各种免疫反应成分被抑制时流感病毒动力学反应的变化完全一致。我们的分析突出了每个数学模型的优缺点，并突出了其他实验数据可以阐明特定机制、限制模型设计并完成我们对流感免疫反应的理解的领域。
The role of the host immune response in determining the severity and duration of an influenza infection is still unclear. In order to identify severity factors and more accurately predict the course of an influenza infection within a human host, an understanding of the impact of host factors on the infection process is required. Despite the lack of sufficiently diverse experimental data describing the time course of the various immune response components, published mathematical models were constructed from limited human or animal data using various strategies and simplifying assumptions. To assess the validity of these models, we assemble previously published experimental data of the dynamics and role of cytotoxic T lymphocytes, antibodies, and interferon and determined qualitative key features of their effect that should be captured by mathematical models. We test these existing models by confronting them with experimental data and find that no single model agrees completely with the variety of influenza viral kinetics responses observed experimentally when various immune response components are suppressed. Our analysis highlights the strong and weak points of each mathematical model and highlights areas where additional experimental data could elucidate specific mechanisms, constrain model design, and complete our understanding of the immune response to influenza.
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影响因子：
2
作者：
Beauchemin, C;Samuel, J;Tuszynski, J
通讯作者：
Tuszynski, J
影响因子：
2
作者：
Dobrovolny, Hana M.;Gieschke, Ronald;Beauchemin, Catherine A. A.
通讯作者：
Beauchemin, Catherine A. A.
影响因子：
5.4
作者：
Canini, Laetitia;Carrat, Fabrice
通讯作者：
Carrat, Fabrice
影响因子：
6.4
作者：
Abed, Y;Bourgault, AM;Boivin, G
通讯作者：
Boivin, G
影响因子：
2
作者：
Beauchemin, Catherine A. A.;McSharry, James J.;Drusano, George L.;Nguyen, Jack T.;Went, Gregory T.;Ribeiro, Ruy M.;Perelson, Alan S.
通讯作者：
Perelson, Alan S.