Laboratoire de physique de l'École normale supérieure, PSL Université, CNRS, Sorbonne Université and Université Paris Cité, 75005 Paris, France.
Philos Trans R Soc Lond B Biol Sci. 2023 May 22;378(1877):20220056. doi: 10.1098/rstb.2022.0056. Epub 2023 Apr 3.
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'.
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。