首页> 美国卫生研究院文献>PLoS Computational Biology >Immuno-epidemiological Modeling of HIV-1 Predicts High Heritability of the Set-Point Virus Load while Selection for CTL Escape Dominates Virulence Evolution
【2h】

Immuno-epidemiological Modeling of HIV-1 Predicts High Heritability of the Set-Point Virus Load while Selection for CTL Escape Dominates Virulence Evolution

机译:HIV-1的免疫流行病学模型预测设定点病毒载量的高遗传性而CTL逃逸的选择主导毒力演变。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

It has been suggested that HIV-1 has evolved its set-point virus load to be optimized for transmission. Previous epidemiological models and studies into the heritability of set-point virus load confirm that this mode of adaptation within the human population is feasible. However, during the many cycles of replication between infection of a host and transmission to the next host, HIV-1 is under selection for escape from immune responses, and not transmission. Here we investigate with computational and mathematical models how these two levels of selection, within-host and between-host, are intertwined. We find that when the rate of immune escape is comparable to what has been observed in patients, immune selection within hosts is dominant over selection for transmission. Surprisingly, we do find high values for set-point virus load heritability, and argue that high heritability estimates can be caused by the ‘footprints’ left by differing hosts' immune systems on the virus.
机译:有人建议HIV-1已经进化了其设定点病毒载量,可以针对传播进行优化。先前的流行病学模型和对设定点病毒载量的遗传力的研究证实,这种在人群中的适应模式是可行的。但是,在感染宿主与传播到下一宿主之间的许多复制周期中,正在选择HIV-1以逃避免疫反应,而不是传播。在这里,我们使用计算和数学模型研究主机内部和主机之间这两个选择级别是如何交织在一起的。我们发现,当免疫逃逸的速度与患者所观察到的速度相当时,宿主内的免疫选择优先于传播选择。出乎意料的是,我们确实发现了设定点病毒负载遗传力的高价值,并且认为遗传力估计高可能是由不同宿主的病毒免疫系统留下的“足迹”引起的。

著录项

相似文献

  • 外文文献
  • 中文文献
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号