Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA 30602, USA.
J R Soc Interface. 2010 Jan 6;7(42):35-47. doi: 10.1098/rsif.2009.0067. Epub 2009 May 27.
Although the influenza A virus has been extensively studied, a quantitative understanding of the infection dynamics is still lacking. To make progress in this direction, we designed several mathematical models and compared them with data from influenza A infections of mice. We find that the immune response (IR) plays an important part in the infection dynamics. Both an innate and an adaptive IR are required to provide adequate explanation of the data. In contrast, regrowth of epithelial cells did not seem to be an important mechanism on the time scale of the infection. We also find that different model variants for both innate and adaptive responses fit the data well, indicating the need for additional data to allow further model discrimination.
尽管甲型流感病毒已被广泛研究,但对其感染动力学仍缺乏定量理解。为了在这方面取得进展,我们设计了几个数学模型,并将其与来自甲型流感病毒感染小鼠的数据进行了比较。我们发现免疫反应(IR)在感染动力学中起着重要作用。先天和适应性免疫反应都需要为数据提供充分的解释。相比之下,上皮细胞的再生似乎不是感染时间范围内的一个重要机制。我们还发现,先天和适应性反应的不同模型变体都能很好地拟合数据,这表明需要更多的数据来进一步区分模型。