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Mathematical modeling provides kinetic details of the human immune response to vaccination

机译:数学建模提供了人类对疫苗免疫反应的动力学细节

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摘要

With major advances in experimental techniques to track antigen-specific immune responses many basic questions on the kinetics of virus-specific immunity in humans remain unanswered. To gain insights into kinetics of T and B cell responses in human volunteers we combined mathematical models and experimental data from recent studies employing vaccines against yellow fever and smallpox. Yellow fever virus-specific CD8 T cell population expanded slowly with the average doubling time of 2 days peaking 2.5 weeks post immunization. Interestingly, we found that the peak of the yellow fever-specific CD8 T cell response was determined by the rate of T cell proliferation and not by the precursor frequency of antigen-specific cells as has been suggested in several studies in mice. We also found that while the frequency of virus-specific T cells increased slowly, the slow increase could still accurately explain clearance of yellow fever virus in the blood. Our additional mathematical model described well the kinetics of virus-specific antibody-secreting cell and antibody response to vaccinia virus in vaccinated individuals suggesting that most of antibodies in 3 months post immunization were derived from the population of circulating antibody-secreting cells. Taken together, our analysis provided novel insights into mechanisms by which live vaccines induce immunity to viral infections and highlighted challenges of applying methods of mathematical modeling to the current, state-of-the-art yet limited immunological data.
机译:随着跟踪抗原特异性免疫反应的实验技术的重大进步,有关人类病毒特异性免疫动力学的许多基本问题仍未得到解答。为了深入了解人类志愿者中T细胞和B细胞反应的动力学,我们将数学模型和来自最近研究的抗黄热病和天花疫苗的实验数据相结合。黄热病病毒特异的CD8 T细胞群体缓慢扩张,平均2倍的时间在免疫后2.5周达到峰值。有趣的是,我们发现黄热病特异性CD8 T细胞应答的峰值是由T细胞增殖的速率决定的,而不是由抗原特异性细胞的前体频率决定的,正如在几项小鼠研究中所建议的那样。我们还发现,尽管病毒特异性T细胞的频率缓慢增加,但缓慢的增加仍可以准确地解释血液中黄热病病毒的清除率。我们的附加数学模型很好地描述了接种疫苗的个体中病毒特异性抗体分泌细胞的动力学和对痘苗病毒的抗体反应,这表明免疫后3个月中的大多数抗体均来自循环中的抗体分泌细胞群体。综上所述,我们的分析为活疫苗诱导对病毒感染产生免疫的机理提供了新颖的见解,并突出了将数学建模方法应用于当前,最新但有限的免疫学数据的挑战。

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