Le Dustin, Miller Joseph D, Ganusov Vitaly V
Department of Microbiology, University of Tennessee Knoxville, TN, USA.
Hope Clinic of the Emory Vaccine Center, Emory University School of Medicine Atlanta, GA, USA.
Front Cell Infect Microbiol. 2015 Jan 9;4:177. doi: 10.3389/fcimb.2014.00177. eCollection 2014.
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.
随着追踪抗原特异性免疫反应的实验技术取得重大进展,许多关于人类病毒特异性免疫动力学的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,我们结合了数学模型和近期使用黄热病和天花疫苗的研究中的实验数据。黄热病病毒特异性CD8 T细胞群体缓慢扩增,平均倍增时间为2天,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细胞反应的峰值是由T细胞增殖速率决定的,而不是像在小鼠的几项研究中所表明的那样,由抗原特异性细胞的前体频率决定。我们还发现,虽然病毒特异性T细胞的频率增加缓慢,但这种缓慢增加仍能准确解释血液中黄热病病毒的清除情况。我们的另一个数学模型很好地描述了接种疫苗个体中病毒特异性抗体分泌细胞的动力学以及对痘苗病毒的抗体反应,这表明免疫后3个月内的大多数抗体来自循环抗体分泌细胞群体。综上所述,我们的分析为活疫苗诱导对病毒感染的免疫的机制提供了新的见解,并突出了将数学建模方法应用于当前最先进但有限的免疫学数据所面临的挑战。