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接受治疗的HIV阳性个体中的残余病毒血症

Residual Viremia in Treated HIV+ Individuals.

作者信息

Conway Jessica M, Perelson Alan S

机构信息

Department of Mathematics and Center for Infectious Disease Dynamics (CIDD), The Pennsylvania State University, University Park, Pennsylvania, United States of America.

Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.

出版信息

PLoS Comput Biol. 2016 Jan 6;12(1):e1004677. doi: 10.1371/journal.pcbi.1004677. eCollection 2016 Jan.

Abstract

Antiretroviral therapy (ART) effectively controls HIV infection, suppressing HIV viral loads. However, some residual virus remains, below the level of detection, in HIV-infected patients on ART. The source of this viremia is an area of debate: does it derive primarily from activation of infected cells in the latent reservoir, or from ongoing viral replication? Observations seem to be contradictory: there is evidence of short term evolution, implying that there must be ongoing viral replication, and viral strains should thus evolve. However, phylogenetic analyses, and rare emergent drug resistance, suggest no long-term viral evolution, implying that virus derived from activated latent cells must dominate. We use simple deterministic and stochastic models to gain insight into residual viremia dynamics in HIV-infected patients. Our modeling relies on two underlying assumptions for patients on suppressive ART: that latent cell activation drives viral dynamics and that the reproductive ratio of treated infection is less than 1. Nonetheless, the contribution of viral replication to residual viremia in patients on ART may be non-negligible. However, even if the portion of viremia attributable to viral replication is significant, our model predicts (1) that latent reservoir re-seeding remains negligible, and (2) some short-term viral evolution is permitted, but long-term evolution can still be limited: stochastic analysis of our model shows that de novo emergence of drug resistance is rare. Thus, our simple models reconcile the seemingly contradictory observations on residual viremia and, with relatively few parameters, recapitulates HIV viral dynamics observed in patients on suppressive therapy.

摘要

抗逆转录病毒疗法(ART)能有效控制HIV感染,抑制HIV病毒载量。然而,在接受ART治疗的HIV感染患者中,仍有一些残留病毒,其水平低于检测下限。这种病毒血症的来源存在争议:它主要源于潜伏库中受感染细胞的激活,还是源于持续的病毒复制?观察结果似乎相互矛盾:有证据表明存在短期进化,这意味着必然存在持续的病毒复制,病毒株也应随之进化。然而,系统发育分析和罕见的新出现耐药性表明不存在长期病毒进化,这意味着源自激活潜伏细胞的病毒必定占主导。我们使用简单的确定性和随机模型来深入了解HIV感染患者残留病毒血症的动态变化。我们的建模基于接受抑制性ART治疗患者的两个基本假设:潜伏细胞激活驱动病毒动态变化,且治疗感染的繁殖率小于1。尽管如此,病毒复制对接受ART治疗患者残留病毒血症的贡献可能不可忽视。然而,即使归因于病毒复制的病毒血症部分很显著,我们的模型预测:(1)潜伏库的重新播种仍然可以忽略不计;(2)允许一些短期病毒进化,但长期进化仍可能受限:我们模型的随机分析表明耐药性的从头出现很少见。因此,我们的简单模型调和了关于残留病毒血症看似矛盾的观察结果,并且用相对较少的参数概括了在接受抑制性治疗患者中观察到的HIV病毒动态变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c599/4703306/113881040cca/pcbi.1004677.g001.jpg

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