{"title":"Spatiotemporal dynamics of HIV in the Brain: perspective of mathematical modeling for its control via antiretroviral therapy.","authors":"Naveen K Vaidya, Feng-Bin Wang","doi":"10.1007/s00285-026-02382-6","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"92 5","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Biology","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00285-026-02382-6","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
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.
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.