Modeling the CD8+ T cell immune response to influenza infection in adult and aged mice

IF 1.9 4区 数学 Q2 BIOLOGY
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Abstract

The CD8+ T cell response is the main determinant of viral clearance during influenza infection. However, influenza viral dynamics and the respective immune responses are affected by the host’s age. To investigate age-related differences in the CD8+ T cell immune response dynamics, we propose 16 ordinary differential equation models of existing experimental data. These data consist of viral titer and CD8+ T cell counts collected periodically over a period of 19 days from adult and aged mice infected with influenza A/Puerto Rico/8/34 (H1N1). We use the corrected Akaike Information Criterion to identify the models which best represent the considered data. Our model selection process indicates differences in mechanisms which reduce the CD8+ T cell response: linear downregulation is favored for adult mice, while baseline exponential decay is favored for aged mice. Parameter fitting of the top ranked models suggests that the aged population has reduced CD8+ T cell proliferation compared to the adult population. More experimental work is needed to determine the specific immunological features through which age might cause these differences. A better understanding of the immunological mechanisms by which aging leads to discrepant CD8+ T cell dynamics may inform future treatment strategies.

模拟成年和老年小鼠 CD8+ T 细胞对流感感染的免疫反应。
CD8+ T 细胞反应是流感感染期间病毒清除的主要决定因素。然而,流感病毒的动态和相应的免疫反应受宿主年龄的影响。为了研究 CD8+ T 细胞免疫反应动态中与年龄有关的差异,我们对现有的实验数据提出了一个 16 常微分方程模型。这些数据包括从感染甲型/波多黎各/8/34(H1N1)流感的成年和老年小鼠身上定期收集的病毒滴度和 CD8+ T 细胞计数,为期 19 天。我们使用修正的 Akaike 信息标准来确定最能代表所考虑数据的模型。我们的模型选择过程表明,降低 CD8+ T 细胞反应的机制存在差异:成年小鼠倾向于线性下调,而老年小鼠倾向于基线指数衰减。排名靠前的模型的参数拟合表明,与成年小鼠相比,老年小鼠群体的 CD8+ T 细胞增殖减少。要确定年龄可能导致这些差异的具体免疫学特征,还需要更多的实验工作。更好地了解衰老导致 CD8+ T 细胞动态差异的免疫学机制可为未来的治疗策略提供参考。
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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