HIV Persistence During Antiretroviral Therapy: Mechanisms, Models, Computation, and Data Analysis

抗逆转录病毒治疗期间艾滋病毒的持续存在：机制、模型、计算和数据分析

• 批准号: 1950254
• 负责人: Libin Rong
• 金额: $ 17.89万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950254&HistoricalAwards=false
• 关键词: HIV; Persistence; During; Antiretroviral; Therapy

HIV persists in patients despite effective antiretroviral therapy. HIV latent infection of CD4+ T cells might be a major obstacle to viral eradication and has been extensively investigated. However, some other factors may also contribute to HIV persistence. The goal of this project is to develop new approaches in mathematical modeling and experimental data analysis to address questions of HIV persistence. Although HIV preferentially infects CD4+ T cells, it also infects other cells, such as macrophages. Macrophages are white blood cells that engulf and digest cellular debris and pathogens. During the engulfment of HIV-infected CD4+ T cells, macrophages can also get infected, contributing to viral production and persistence. In addition to the viral infection of CD4+ T cells, HIV can also be transferred directly from infected to uninfected CD4+ T cells. Such cell-to-cell transmission can take place within the same cell types and also in different cell populations such as macrophages. The relative contributions to HIV persistence from these sources remain largely unknown, but such information is crucial for finding a cure or control of HIV infection. Graduate students will be trained in this project.In this project, mechanism-based mathematical models will be developed, analyzed, and compared with experimental data to study the relative contributions of various sources to HIV persistence during highly active antiretroviral therapy. In the first part, models with macrophages will be developed to analyze the data of macrophage infection with/without CD4+ T cell infection in different mouse models. The relative contributions from CD4+ T cell infection, macrophage infection, and CD4-to-macrophage transmission to HIV persistence will be evaluated. The second part studies whether cell-to-cell transmission can explain viral persistence during antiretroviral therapy and whether it also contributes to multiple HIV infection. The PI shall develop a new cell-to-cell transmission model including infected cells structured continuously according to their activation status. This provides a new cell-to-cell modeling framework to study HIV latency, low viral load persistence, and emergence of viral blips during suppressive therapy. The results obtained from this project will provide quantitative information on the sources contributing to HIV persistence, which can help develop treatment strategies targeting HIV eradication or control.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

尽管进行了有效的抗逆转录病毒治疗，艾滋病毒仍在患者体内持续存在。HIV对CD 4 + T细胞的潜伏感染可能是病毒根除的主要障碍，并已被广泛研究。然而，其他一些因素也可能导致艾滋病毒的持续存在。该项目的目标是开发数学建模和实验数据分析的新方法，以解决艾滋病毒持续存在的问题。虽然HIV优先感染CD 4 + T细胞，但它也感染其他细胞，如巨噬细胞。巨噬细胞是吞噬和消化细胞碎片和病原体的白色血细胞。在吞噬HIV感染的CD 4 + T细胞的过程中，巨噬细胞也会被感染，从而导致病毒的产生和持续存在。除了CD 4 + T细胞的病毒感染外，HIV还可以直接从感染的CD 4 + T细胞转移到未感染的CD 4 + T细胞。这种细胞间传递可以发生在相同的细胞类型内，也可以发生在不同的细胞群如巨噬细胞中。这些来源对艾滋病毒持续存在的相对贡献在很大程度上仍然未知，但这些信息对于找到治愈或控制艾滋病毒感染至关重要。研究生将在这个项目中进行培训。在这个项目中，基于机制的数学模型将被开发，分析，并与实验数据进行比较，以研究在高效抗逆转录病毒治疗期间各种来源对艾滋病毒持久性的相对贡献。在第一部分中，将开发具有巨噬细胞的模型以分析在不同小鼠模型中有/没有CD 4 + T细胞感染的巨噬细胞感染的数据。将评价CD 4 + T细胞感染、巨噬细胞感染和CD 4-巨噬细胞传播对HIV持续性的相对贡献。第二部分研究细胞间传播是否可以解释抗逆转录病毒治疗期间的病毒持续存在，以及它是否也有助于多重HIV感染。PI应开发新的细胞间传播模型，包括根据其激活状态连续构建的感染细胞。这为研究HIV潜伏期、低病毒载量持续性和抑制治疗期间病毒斑点的出现提供了一个新的细胞对细胞建模框架。从这个项目中获得的结果将提供有关导致艾滋病毒持续存在的来源的定量信息，这可以帮助制定针对艾滋病毒根除或控制的治疗策略。这个奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

A two-sex model of human papillomavirus infection: Vaccination strategies and a case study

• DOI: 10.1016/j.jtbi.2022.111006
• 发表时间: 2022-01-15
• 期刊: JOURNAL OF THEORETICAL BIOLOGY
• 影响因子: 2
• 作者: Gao, Shasha;Martcheva, Maia;Rong, Libin
• 通讯作者: Rong, Libin

A Dynamic Model to Assess Human Papillomavirus Vaccination Strategies in a Heterosexual Population Combined with Men Who have Sex with Men

• DOI: 10.1007/s11538-020-00830-y
• 发表时间: 2021-01-02
• 期刊: BULLETIN OF MATHEMATICAL BIOLOGY
• 影响因子: 3.5
• 作者: Gao, Shasha;Martcheva, Maia;Rong, Libin
• 通讯作者: Rong, Libin

Modeling the Effect of Reactive Oxygen Species and CTL Immune Response on HIV Dynamics

• DOI: 10.1142/s0218127421502035
• 发表时间: 2021-10
• 期刊: Int. J. Bifurc. Chaos
• 作者: Q. Deng;Ting Guo;Zhipeng Qiu;L. Rong

A unified mathematical model of thyroid hormone regulation and implication for personalized treatment of thyroid disorders

• DOI: 10.1016/j.jtbi.2021.110853
• 发表时间: 2021-08-13
• 期刊: JOURNAL OF THEORETICAL BIOLOGY
• 影响因子: 2
• 作者: Yang, Boya;Tang, Xi;Rong, Libin
• 通讯作者: Rong, Libin

Modeling HIV multiple infection

• DOI: 10.1016/j.jtbi.2020.110502
• 发表时间: 2021-01-21
• 期刊: JOURNAL OF THEORETICAL BIOLOGY
• 影响因子: 2
• 作者: Guo, Ting;Qiu, Zhipeng;Rong, Libin
• 通讯作者: Rong, Libin