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HIV-1 感染大脑的建模。

Modeling HIV-1 infection in the brain.

机构信息

Department of Mathematics and Computer Science, Drury University, Missouri, USA.

Department of Mathematics and Statistics, University of Missouri-Kansas City, Missouri, USA.

出版信息

PLoS Comput Biol. 2020 Nov 19;16(11):e1008305. doi: 10.1371/journal.pcbi.1008305. eCollection 2020 Nov.

Abstract

While highly active antiretroviral therapy (HAART) is successful in controlling the replication of Human Immunodeficiency Virus (HIV-1) in many patients, currently there is no cure for HIV-1, presumably due to the presence of reservoirs of the virus. One of the least studied viral reservoirs is the brain, which the virus enters by crossing the blood-brain barrier (BBB) via macrophages, which are considered as conduits between the blood and the brain. The presence of HIV-1 in the brain often leads to HIV associated neurocognitive disorders (HAND), such as encephalitis and early-onset dementia. In this study we develop a novel mathematical model that describes HIV-1 infection in the brain and in the plasma coupled via the BBB. The model predictions are consistent with data from macaques infected with a mixture of simian immunodeficiency virus (SIV) and simian-human immunodeficiency virus (SHIV). Using our model, we estimate the rate of virus transport across the BBB as well as viral replication inside the brain, and we compute the basic reproduction number. We also carry out thorough sensitivity analysis to define the robustness of the model predictions on virus dynamics inside the brain. Our model provides useful insight into virus replication within the brain and suggests that the brain can be an important reservoir causing long-term viral persistence.

摘要

虽然高效抗逆转录病毒疗法 (HAART) 在许多患者中成功地控制了人类免疫缺陷病毒 (HIV-1) 的复制,但目前尚无治愈 HIV-1 的方法,这可能是由于病毒库的存在。病毒库中研究最少的之一是大脑,病毒通过巨噬细胞穿过血脑屏障 (BBB) 进入大脑,巨噬细胞被认为是血液和大脑之间的通道。HIV-1 存在于大脑中常常导致与 HIV 相关的神经认知障碍 (HAND),如脑炎和早发性痴呆。在这项研究中,我们开发了一种新的数学模型,该模型描述了通过 BBB 耦合的大脑和血浆中的 HIV-1 感染。模型预测与感染了猴免疫缺陷病毒 (SIV) 和猴-人免疫缺陷病毒 (SHIV) 混合物的猕猴的数据一致。使用我们的模型,我们估计了病毒穿过 BBB 的传输速度以及大脑内部的病毒复制速度,并计算了基本繁殖数。我们还进行了彻底的敏感性分析,以确定模型对大脑内病毒动力学预测的稳健性。我们的模型提供了对大脑内病毒复制的有用见解,并表明大脑可能是导致长期病毒持续存在的重要病毒库。

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