Stability and optimal control of a cytokine-enhanced general HIV infection model with antibody immune response and CTLs immune response.

IF 1.7 4区 医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-11-01 Epub Date: 2023-11-07 DOI:10.1080/10255842.2023.2275248
Chong Chen, Yinggao Zhou, Zhijian Ye
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Abstract

In this article, a cytokine-enhanced viral infection model with cytotoxic T lymphocytes (CTLs) immune response and antibody immune response is proposed and analyzed. The model contains six compartments: uninfected CD4+T cells, infected CD4+T cells, inflammatory cytokines, viruses, CTLs and antibodies. Different from the previous works, this model not only considers virus-to-cell transmission and cell-to-cell transmission, but also includes a new infection mode, namely cytokine-enhanced viral infection. The incidence rates of the healthy CD4+T cells with viruses, infected cells and inflammatory cytokines are given by general functions. Moreover, the production/proliferation and removal/death rates of all compartments are represented by general functions. Firstly, we prove that all the solutions of the model are nonnegative and uniformly bounded. Then, five key parameters with strong biological significance, namely the virus basic reproduction number R0, CTLs immune response reproduction number R1, antibody immune response reproductive number R2, CTLs immune competitive reproductive number R3 and antibody immune competitive reproductive number R4 are derived. Then, by using Lyapunov's method and LaSalle's invariance principle, we have shown the global stability of each equilibrium. In addition, the numerical simulation results also show that the theoretical results are correct. Finally, we formulate an optimal control problem and solve it using Pontryagins Maximum Principle and an efficient iterative numerical methods. The results of our numerical simulation show that it is very important to control the infection between viruses and cells and between cells and inflammatory cytokines for controlling HIV.

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具有抗体免疫反应和CTL免疫反应的细胞因子增强的一般HIV感染模型的稳定性和最佳控制。
本文提出并分析了一种具有细胞毒性T淋巴细胞(CTL)免疫反应和抗体免疫反应的细胞因子增强病毒感染模型。该模型包含六个部分:未感染的CD4+T细胞、感染的CD4+T细胞、炎性细胞因子、病毒、CTL和抗体。与以往的工作不同,该模型不仅考虑了病毒间传播和细胞间传播,还包括一种新的感染模式,即细胞因子增强的病毒感染。健康CD4+T细胞与病毒、感染细胞和炎性细胞因子的发病率由一般功能给出。此外,所有隔室的产生/增殖和去除/死亡率由一般函数表示。首先,我们证明了该模型的所有解都是非负的且一致有界的。然后推导出具有较强生物学意义的五个关键参数,即病毒基本繁殖数R0、CTL免疫应答繁殖数R1、抗体免疫应答繁殖量R2、CTL免疫竞争繁殖数R3和抗体免疫竞争繁殖量R4。然后,利用李雅普诺夫方法和拉萨尔不变性原理,给出了各平衡点的全局稳定性。此外,数值模拟结果也表明了理论结果的正确性。最后,我们提出了一个最优控制问题,并使用Pontryagins极大值原理和一种有效的迭代数值方法进行求解。我们的数值模拟结果表明,控制病毒与细胞之间以及细胞与炎性细胞因子之间的感染对于控制HIV非常重要。
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来源期刊
CiteScore
4.10
自引率
6.20%
发文量
179
审稿时长
4-8 weeks
期刊介绍: The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.
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