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首页> 外文期刊>PLoS Computational Biology >Living on Three Time Scales: The Dynamics of Plasma Cell and Antibody Populations Illustrated for Hepatitis A Virus
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Living on Three Time Scales: The Dynamics of Plasma Cell and Antibody Populations Illustrated for Hepatitis A Virus

机译:生活在三个时间尺度上:甲型肝炎病毒的浆细胞和抗体群体的动态

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Understanding the mechanisms involved in long-term persistence of humoral immunity after natural infection or vaccination is challenging and crucial for further research in immunology, vaccine development as well as health policy. Long-lived plasma cells, which have recently been shown to reside in survival niches in the bone marrow, are instrumental in the process of immunity induction and persistence. We developed a mathematical model, assuming two antibody-secreting cell subpopulations (short- and long-lived plasma cells), to analyze the antibody kinetics after HAV-vaccination using data from two long-term follow-up studies. Model parameters were estimated through a hierarchical nonlinear mixed-effects model analysis. Long-term individual predictions were derived from the individual empirical parameters and were used to estimate the mean time to immunity waning. We show that three life spans are essential to explain the observed antibody kinetics: that of the antibodies (around one month), the short-lived plasma cells (several months) and the long-lived plasma cells (decades). Although our model is a simplified representation of the actual mechanisms that govern individual immune responses, the level of agreement between long-term individual predictions and observed kinetics is reassuringly close. The quantitative assessment of the time scales over which plasma cells and antibodies live and interact provides a basis for further quantitative research on immunology, with direct consequences for understanding the epidemiology of infectious diseases, and for timing serum sampling in clinical trials of vaccines.
机译:了解自然感染或疫苗接种后体液免疫长期持续存在的机制,对于免疫学,疫苗开发以及健康政策的进一步研究具有挑战性和至关重要。长期存在的浆细胞最近被证明位于骨髓的生存survival中,在免疫诱导和持久性过程中起重要作用。我们建立了一个数学模型,假设有两个分泌抗体的细胞亚群(短寿命和长寿命的浆细胞),可以使用两次长期随访研究的数据来分析HAV疫苗接种后的抗体动力学。通过分层非线性混合效应模型分析来估计模型参数。长期个体预测是根据个体经验参数得出的,并用于估计平均免疫力下降的时间。我们表明三个寿命是解释观察到的抗体动力学必不可少的:抗体的生命周期(约一个月),短暂的浆细胞(数月)和寿命长的浆细胞(数十年)。尽管我们的模型是控制个体免疫应答的实际机制的简化表示,但长期的个体预测与观察到的动力学之间的一致性水平令人放心地接近。浆细胞和抗体生存和相互作用的时间尺度的定量评估为进一步的免疫学定量研究提供了基础,对了解传染病的流行病学以及在疫苗的临床试验中确定血清采样的时间将产生直接的影响。

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