Spatiotemporal dynamics of HIV in the Brain: perspective of mathematical modeling for its control via antiretroviral therapy.

IF 2.3 4区 数学 Q2 BIOLOGY
Naveen K Vaidya, Feng-Bin Wang
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Abstract

The brain, as a reservoir of human immunodeficiency virus (HIV), has received tremendous attention due to the association with the brain's infection with HIV-associated neurocognitive disorders (HAND). Along with the blood-brain barrier (BBB), heterogeneity across the various regions inside the brain makes HIV infection particularly complex to identify the ideal treatment for controlling HIV in the brain. In this study, we developed a mathematical model to describe the spatiotemporal dynamics of HIV infection in three essential regions of the brain: the prefrontal cortex (PF), the choroid plexus (CP), and the primary visual cortex (V1). We use our model to study the impact of drug pharmacodynamics and the CPE score (a permeability index for drugs into the brain) on viral control in the brain. The infection invasion threshold, which we theoretically established as the determinant of infection avoidance or virus persistence, enables us to select drugs for treatment protocols with pharmacodynamic properties (dose-response curve slope, dose, half-life, dose interval, CPE score) that prevent and control HIV infection in the brain. Our novel model and related theoretical and numerical results provide further insights into the impact of antiretroviral therapy on the spatiotemporal dynamics of HIV infection in the brain.

大脑中HIV的时空动态:通过抗逆转录病毒治疗控制其数学模型的观点。
大脑作为人类免疫缺陷病毒(HIV)的储存库,由于与大脑感染HIV相关神经认知障碍(HAND)的关联而受到了极大的关注。随着血脑屏障(BBB)的存在,大脑内不同区域的异质性使得艾滋病毒感染特别复杂,难以确定控制大脑中艾滋病毒的理想治疗方法。在这项研究中,我们建立了一个数学模型来描述HIV感染在大脑的三个基本区域:前额叶皮层(PF)、脉络膜丛(CP)和初级视觉皮层(V1)的时空动态。我们使用我们的模型来研究药物药效学和CPE评分(药物进入大脑的渗透性指数)对大脑病毒控制的影响。感染入侵阈值,我们在理论上建立了作为感染避免或病毒持久性的决定因素,使我们能够选择具有药效学特性(剂量-反应曲线斜率,剂量,半衰期,剂量间隔,CPE评分)的治疗方案药物,以预防和控制大脑中的HIV感染。我们的新模型和相关的理论和数值结果为抗逆转录病毒治疗对大脑中HIV感染的时空动态的影响提供了进一步的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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