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本文引用的文献

1
Mathematical modelling the age dependence of Epstein-Barr virus associated infectious mononucleosis.对爱泼斯坦-巴尔病毒相关传染性单核细胞增多症的年龄依赖性进行数学建模。
Math Med Biol. 2012 Sep;29(3):245-61. doi: 10.1093/imammb/dqr007. Epub 2011 Jun 22.
2
Alternating host cell tropism shapes the persistence, evolution and coexistence of epstein-barr virus infections in human.宿主细胞嗜性的交替塑造了 Epstein-Barr 病毒感染在人类中的持续存在、进化和共存。
Bull Math Biol. 2011 Aug;73(8):1754-73. doi: 10.1007/s11538-010-9590-8. Epub 2010 Oct 23.
3
Frequent release of low amounts of herpes simplex virus from neurons: results of a mathematical model.神经元频繁释放少量单纯疱疹病毒:数学模型的结果。
Sci Transl Med. 2009 Nov 18;1(7):7ra16. doi: 10.1126/scitranslmed.3000193.
4
The dynamics of EBV shedding implicate a central role for epithelial cells in amplifying viral output.EB病毒脱落的动态变化表明上皮细胞在扩大病毒输出方面起着核心作用。
PLoS Pathog. 2009 Jul;5(7):e1000496. doi: 10.1371/journal.ppat.1000496. Epub 2009 Jul 3.
5
A virtual look at Epstein-Barr virus infection: simulation mechanism.爱泼斯坦-巴尔病毒感染的虚拟视角:模拟机制
J Theor Biol. 2008 Jun 21;252(4):633-48. doi: 10.1016/j.jtbi.2008.01.032. Epub 2008 Feb 16.
6
On the dynamics of acute EBV infection and the pathogenesis of infectious mononucleosis.论急性EB病毒感染的动力学及传染性单核细胞增多症的发病机制。
Blood. 2008 Feb 1;111(3):1420-7. doi: 10.1182/blood-2007-06-093278. Epub 2007 Nov 8.
7
Simulating Epstein-Barr virus infection with C-ImmSim.使用C-ImmSim模拟爱泼斯坦-巴尔病毒感染。
Bioinformatics. 2007 Jun 1;23(11):1371-7. doi: 10.1093/bioinformatics/btm044. Epub 2007 Mar 6.
8
Dynamics of killer T cell inflation in viral infections.病毒感染中杀伤性T细胞增殖的动力学
J R Soc Interface. 2007 Jun 22;4(14):533-43. doi: 10.1098/rsif.2006.0195.
9
Epstein-Barr virus shed in saliva is high in B-cell-tropic glycoprotein gp42.唾液中分泌的爱泼斯坦-巴尔病毒富含B细胞嗜性糖蛋白gp42。
J Virol. 2006 Jul;80(14):7281-3. doi: 10.1128/JVI.00497-06.
10
Tonsillar homing of Epstein-Barr virus-specific CD8+ T cells and the virus-host balance.爱泼斯坦-巴尔病毒特异性CD8+ T细胞的扁桃体归巢与病毒-宿主平衡
J Clin Invest. 2005 Sep;115(9):2546-55. doi: 10.1172/JCI24810. Epub 2005 Aug 18.

建立 Epstein-Barr 病毒阳性个体唾液中病毒脱落动力学模型。

Modeling the dynamics of virus shedding into the saliva of Epstein-Barr virus positive individuals.

机构信息

Department of Mathematics and Statistics, Oakland University, Rochester, MI 48309-4401, USA.

出版信息

J Theor Biol. 2012 Oct 7;310:105-14. doi: 10.1016/j.jtbi.2012.05.032. Epub 2012 Jun 7.

DOI:10.1016/j.jtbi.2012.05.032
PMID:22683365
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3437995/
Abstract

Epstein-Barr virus (EBV) can infect both B cells and epithelial cells. Infection of B cells enables the virus to persist within a host while infection of epithelial cells is suggested to amplify viral output. Data from a recent study have shown that the virus shedding in EBV positive individuals is relatively stable over short periods of time but varies significantly over long periods. The mechanisms underlying the regulation of virus shedding within a host are not fully understood. In this paper, we construct a model of ordinary differential equations to study the dynamics of virus shedding into the saliva of infected hosts. Infection of epithelial cells is further separated into infection by virus released from B cells and virus released from epithelial cells. We use the model to investigate whether the long-term variation and short-term stability of virus shedding can be generated by three possible factors: stochastic variations in the number of epithelial cells susceptible to virus released from infected B cells, to virus released from infected epithelial cells, or random variation in the probability that CD8(+) T cells encounter and successfully kill infected cells. The results support all three factors to explain the long-term variation but only the first and third factors to explain the short-term stability of virus shedding into saliva. Our analysis also shows that clearance of virus shedding is possible only when there is no virus reactivation from B cells.

摘要

EB 病毒(EBV)可以感染 B 细胞和上皮细胞。B 细胞感染使病毒在宿主体内持续存在,而上皮细胞感染则被认为可以增加病毒的产量。最近的一项研究数据表明,EBV 阳性个体的病毒脱落相对稳定在短时间内,但在长时间内则有显著变化。病毒在宿主体内脱落的调节机制尚未完全了解。在本文中,我们构建了一个常微分方程模型来研究感染宿主唾液中病毒脱落的动力学。上皮细胞的感染进一步分为由从 B 细胞释放的病毒和由上皮细胞释放的病毒引起的感染。我们使用该模型来研究病毒脱落的长期变化和短期稳定性是否可以由三个可能的因素产生:受感染 B 细胞释放的病毒和受感染上皮细胞释放的病毒感染的上皮细胞数量的随机变化,或 CD8+T 细胞遇到并成功杀死感染细胞的概率的随机变化。结果支持所有三个因素来解释长期变化,但仅支持前两个因素来解释病毒脱落的短期稳定性。我们的分析还表明,只有当不存在 B 细胞中病毒再激活时,才可能清除病毒脱落。