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1
Ordered appearance of antigenic variants of African trypanosomes explained in a mathematical model based on a stochastic switch process and immune-selection against putative switch intermediates.基于随机转换过程和针对假定转换中间体的免疫选择的数学模型解释了非洲锥虫抗原变异体的有序出现。
Proc Natl Acad Sci U S A. 1989 Dec;86(23):9626-30. doi: 10.1073/pnas.86.23.9626.
2
Probabilistic order in antigenic variation of Trypanosoma brucei.布氏锥虫抗原变异中的概率顺序
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3
An update on antigenic variation in African trypanosomes.非洲锥虫抗原变异的最新进展。
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4
Control of antigenic variation in African trypanosomes.非洲锥虫抗原变异的控制
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5
Competition among variants is predictable and contributes to the antigenic variation dynamics of African trypanosomes.变体间的竞争是可预测的,并有助于非洲锥虫的抗原变异动态。
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6
Trypanosome sociology and antigenic variation.锥虫社会学与抗原变异
Parasitology. 1989;99 Suppl:S37-47. doi: 10.1017/s0031182000083402.
7
Parasite-intrinsic factors can explain ordered progression of trypanosome antigenic variation.寄生虫内在因素可以解释锥虫抗原变异的有序进展。
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Mechanisms of antigenic variation in African trypanosomes.非洲锥虫抗原变异的机制。
Behring Inst Mitt. 1997 Mar(99):1-15.

引用本文的文献

1
Competition among variants is predictable and contributes to the antigenic variation dynamics of African trypanosomes.变体间的竞争是可预测的,并有助于非洲锥虫的抗原变异动态。
PLoS Pathog. 2023 Jul 17;19(7):e1011530. doi: 10.1371/journal.ppat.1011530. eCollection 2023 Jul.
2
Multiple-Strain Malaria Infection and Its Impacts on Resistance to Antimalarial Therapy: A Mathematical Modelling Perspective.多株疟疾感染及其对抗疟治疗耐药性的影响:数学建模视角。
Comput Math Methods Med. 2019 Jun 11;2019:9783986. doi: 10.1155/2019/9783986. eCollection 2019.
3
Faster growth with shorter antigens can explain a VSG hierarchy during African trypanosome infections: a feint attack by parasites.较短抗原的更快生长可以解释在非洲锥虫感染期间的 VSG 等级:寄生虫的佯攻。
Sci Rep. 2018 Jul 19;8(1):10922. doi: 10.1038/s41598-018-29296-8.
4
Interactions between host immune response and antigenic variation that control Borrelia burgdorferi population dynamics.宿主免疫反应与抗原变异之间的相互作用控制着伯氏疏螺旋体的种群动态。
Microbiology (Reading). 2017 Aug;163(8):1179-1188. doi: 10.1099/mic.0.000513. Epub 2017 Aug 4.
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Plasmodium knowlesi: a superb in vivo nonhuman primate model of antigenic variation in malaria.诺氏疟原虫:疟疾抗原变异的一种出色的体内非人灵长类动物模型。
Parasitology. 2018 Jan;145(1):85-100. doi: 10.1017/S0031182017001135. Epub 2017 Jul 17.
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A Multi-Host Agent-Based Model for a Zoonotic, Vector-Borne Disease. A Case Study on Trypanosomiasis in Eastern Province, Zambia.一种基于多宿主媒介的人畜共患媒介传播疾病模型。赞比亚东部省锥虫病的案例研究。
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From within host dynamics to the epidemiology of infectious disease: Scientific overview and challenges.从宿主内部动态到传染病流行病学:科学概述与挑战
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Pathogen evolution and the immunological niche.病原体进化与免疫生态位。
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9
Linking the antigen archive structure to pathogen fitness in African trypanosomes.将抗原档案结构与非洲锥虫的病原体适应性联系起来。
Proc Biol Sci. 2013 Jan 2;280(1753):20122129. doi: 10.1098/rspb.2012.2129. Print 2013 Feb 22.
10
A statistically rigorous method for determining antigenic switching networks.一种用于确定抗原转换网络的统计学严谨方法。
PLoS One. 2012;7(6):e39335. doi: 10.1371/journal.pone.0039335. Epub 2012 Jun 22.

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2
Antigenic variation in trypanosomes: a computer analysis of variant order.锥虫中的抗原变异:变异顺序的计算机分析
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The ecology of antigenic variation.
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Two mechanisms of expression of a predominant variant antigen gene of Trypanosoma brucei.布氏锥虫主要变异抗原基因表达的两种机制。
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An analysis of cosmid clones of nuclear DNA from Trypanosoma brucei shows that the genes for variant surface glycoproteins are clustered in the genome.对布氏锥虫核DNA的黏粒克隆分析表明,可变表面糖蛋白基因在基因组中是成簇排列的。
Nucleic Acids Res. 1982 Oct 11;10(19):5905-23. doi: 10.1093/nar/10.19.5905.
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Analysis of antigenic types appearing in first relapse populations of clones of Trypanosoma brucei.布氏锥虫克隆首次复发群体中出现的抗原类型分析。
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Parasitology. 1980 Apr;80(2):371-82. doi: 10.1017/s0031182000000822.
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Antigenic variation in clones of animal-infective Trypanosoma brucei derived and maintained in vitro.源自体外培养并维持的感染动物的布氏锥虫克隆的抗原变异。
Parasitology. 1980 Apr;80(2):359-69. doi: 10.1017/s0031182000000810.
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On the surface coat and flagellar adhesion in trypanosomes.锥虫表面被膜与鞭毛的黏附作用
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Expression of two variant surface glycoproteins on individual African trypanosomes during antigen switching.
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基于随机转换过程和针对假定转换中间体的免疫选择的数学模型解释了非洲锥虫抗原变异体的有序出现。

Ordered appearance of antigenic variants of African trypanosomes explained in a mathematical model based on a stochastic switch process and immune-selection against putative switch intermediates.

作者信息

Agur Z, Abiri D, Van der Ploeg L H

机构信息

Department of Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.

出版信息

Proc Natl Acad Sci U S A. 1989 Dec;86(23):9626-30. doi: 10.1073/pnas.86.23.9626.

DOI:10.1073/pnas.86.23.9626
PMID:2594790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC298551/
Abstract

Antigenic variation of African trypanosomes results from the periodic activation of a single new variant cell surface glycoprotein (VSG) gene out of a repertoire of about a 1000 VSG genes. In spite of the apparently random genetic basis of the process of antigenic variation, the relapsing parasitemias are characterized by an as yet unexplained order of appearance of major VSG variants. Here we mathematically test hypotheses concerning the blood-based parasitemia. In our model the antigenic switches occur at random at the DNA level. A variable proportion of the switches has a short intermediate phase in which two different VSGs simultaneously occur on the cell surface. We show that, in a theoretical population of 230 single expressor variants in an immunocompetent or in an immunodeficient host, it is not possible to explain the ordered appearance of variants by affecting the growth coefficients of single expressors or double expressors or by affecting the antigen switch probabilities. Rather, a realistic parasitemia can be obtained if the majority of switches has a double expressor switch-intermediate phase and if the double expressors have a differential susceptibility to the immune control. This study is significant in providing a theoretical basis for the ordered appearance of variants and in explaining previously unresolved discrepancies between the rate of appearance of new variants in culture and in vivo. In addition, testable predictions as to the development of the infections, switch rate of variants, fraction of double expressors, and parasite mortality coefficients are generated.

摘要

非洲锥虫的抗原变异源于约1000个VSG基因库中单个新的变异细胞表面糖蛋白(VSG)基因的周期性激活。尽管抗原变异过程的遗传基础看似随机,但复发性寄生虫血症的特征是主要VSG变异体出现的顺序尚未得到解释。在此,我们对关于基于血液的寄生虫血症的假设进行数学检验。在我们的模型中,抗原转换在DNA水平上随机发生。可变比例的转换具有一个短暂的中间阶段,在此阶段细胞表面同时出现两种不同的VSG。我们表明,在免疫健全或免疫缺陷宿主中由230个单表达变异体组成的理论群体中,通过影响单表达体或双表达体的生长系数或通过影响抗原转换概率,无法解释变异体的有序出现。相反,如果大多数转换具有双表达体转换中间阶段,并且双表达体对免疫控制具有不同的敏感性,则可以获得实际的寄生虫血症。这项研究对于为变异体的有序出现提供理论基础以及解释先前在培养物和体内新变异体出现速率之间未解决的差异具有重要意义。此外,还产生了关于感染发展、变异体转换率、双表达体比例和寄生虫死亡率系数的可检验预测。