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本文引用的文献

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Host-parasite co-evolution and its genomic signature.宿主-寄生虫共进化及其基因组特征。
Nat Rev Genet. 2020 Dec;21(12):754-768. doi: 10.1038/s41576-020-0269-1. Epub 2020 Aug 28.
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Quantitative modeling of the effect of antigen dosage on B-cell affinity distributions in maturating germinal centers.定量建模抗原剂量对成熟生发中心 B 细胞亲和力分布的影响。
Elife. 2020 Jun 15;9:e55678. doi: 10.7554/eLife.55678.
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Fierce Selection and Interference in B-Cell Repertoire Response to Chronic HIV-1.慢性 HIV-1 感染中 B 细胞库反应的剧烈选择和干扰。
Mol Biol Evol. 2019 Oct 1;36(10):2184-2194. doi: 10.1093/molbev/msz143.
5
What Are the Primary Limitations in B-Cell Affinity Maturation, and How Much Affinity Maturation Can We Drive with Vaccination? Lessons from the Antibody Response to HIV-1.B 细胞亲和力成熟的主要限制是什么,我们可以通过接种疫苗驱动多少亲和力成熟?来自 HIV-1 抗体反应的教训。
Cold Spring Harb Perspect Biol. 2018 May 1;10(5):a029389. doi: 10.1101/cshperspect.a029389.
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Identification and specificity of broadly neutralizing antibodies against HIV.针对HIV的广谱中和抗体的鉴定及特异性
Immunol Rev. 2017 Jan;275(1):11-20. doi: 10.1111/imr.12484.
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Germinal Center B Cell Dynamics.生发中心B细胞动力学
Immunity. 2016 Sep 20;45(3):471-482. doi: 10.1016/j.immuni.2016.09.001.
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Host-Pathogen Coevolution and the Emergence of Broadly Neutralizing Antibodies in Chronic Infections.宿主-病原体协同进化与慢性感染中广泛中和抗体的出现
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9
Relative rate and location of intra-host HIV evolution to evade cellular immunity are predictable.宿主内 HIV 逃避细胞免疫的进化的相对速率和位置是可预测的。
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Visualizing antibody affinity maturation in germinal centers.可视化生发中心中的抗体亲和力成熟过程。
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通过遗传转化来检测人类免疫缺陷病毒与免疫系统之间的相互作用。

Inspecting the interaction between human immunodeficiency virus and the immune system through genetic turnover.

机构信息

Laboratoire de physique de l'École normale supérieure, PSL Université, CNRS, Sorbonne Université and Université Paris Cité, 75005 Paris, France.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2023 May 22;378(1877):20220056. doi: 10.1098/rstb.2022.0056. Epub 2023 Apr 3.

DOI:10.1098/rstb.2022.0056
PMID:37004725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10067267/
Abstract

Chronic infections of the human immunodeficiency virus (HIV) create a very complex coevolutionary process, where the virus tries to escape the continuously adapting host immune system. Quantitative details of this process are largely unknown and could help in disease treatment and vaccine development. Here we study a longitudinal dataset of ten HIV-infected people, where both the B-cell receptors and the virus are deeply sequenced. We focus on simple measures of turnover, which quantify how much the composition of the viral strains and the immune repertoire change between time points. At the single-patient level, the viral-host turnover rates do not show any statistically significant correlation, however, they correlate if one increases the amount of statistics by aggregating the information across patients. We identify an anti-correlation: large changes in the viral pool composition come with small changes in the B-cell receptor repertoire. This result seems to contradict the naïve expectation that when the virus mutates quickly, the immune repertoire needs to change to keep up. However, a simple model of antagonistically evolving populations can explain this signal. If it is sampled at intervals comparable with the sweep time, one population has had time to sweep while the second cannot start a counter-sweep, leading to the observed anti-correlation. This article is part of the theme issue 'Interdisciplinary approaches to predicting evolutionary biology'.

摘要

慢性人类免疫缺陷病毒 (HIV) 感染会产生非常复杂的共同进化过程,在此过程中,病毒试图逃避不断适应的宿主免疫系统。该过程的定量细节在很大程度上尚不清楚,这可能有助于疾病的治疗和疫苗的开发。在这里,我们研究了十名 HIV 感染者的纵向数据集,其中对 B 细胞受体和病毒进行了深度测序。我们专注于周转率的简单度量,该度量量化了病毒株和免疫受体库在时间点之间的组成变化有多少。在个体患者水平上,病毒-宿主周转率没有显示出任何具有统计学意义的相关性,但如果通过跨患者汇总信息来增加统计数据量,则它们会相关。我们发现了一种反相关关系:病毒库组成的大变化伴随着 B 细胞受体库的小变化。这一结果似乎与病毒快速突变时,免疫受体库需要随之改变的直观预期相矛盾。然而,一种对抗进化种群的简单模型可以解释这一信号。如果以与扫荡时间可比的间隔进行采样,一个种群有时间进行扫荡,而第二个种群则无法开始反扫荡,从而导致了观察到的反相关关系。本文是“预测进化生物学的跨学科方法”主题问题的一部分。