Bistability of an HIV Model with Immune Impairment

IF 1.7 4区 数学 Q2 MATHEMATICS, APPLIED SIAM Journal on Applied Dynamical Systems Pub Date : 2024-05-02 DOI:10.1137/23m1596004
Shaoli Wang, Tengfei Wang, Fei Xu, Libin Rong
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Abstract

SIAM Journal on Applied Dynamical Systems, Volume 23, Issue 2, Page 1108-1132, June 2024.
Abstract.The immune response is a crucial factor in controlling HIV infection. However, oxidative stress poses a significant challenge to the HIV-specific immune response, compromising the body’s ability to control viral replication. In this paper, we develop an HIV infection model to investigate the impact of immune impairment on virus dynamics. We derive the basic reproduction number ([math]) and threshold ([math]). Utilizing the antioxidant parameter as a bifurcation parameter, we establish that the system exhibits saddle-node bifurcation backward and forward bifurcations. Specifically, when [math], the virus will rebound if the antioxidant parameter falls below the post-treatment control threshold. Conversely, when the antioxidant parameter exceeds the elite control threshold, the virus remains under elite control. The region between the two thresholds represents a bistable interval. These results can explain why some HIV-infected patients experience rapid viral rebound after treatment cessation while others achieve post-treatment control for a longer time.
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具有免疫缺陷的艾滋病毒模型的双稳态性
SIAM 应用动力系统期刊》,第 23 卷第 2 期,第 1108-1132 页,2024 年 6 月。 摘要:免疫反应是控制艾滋病毒感染的关键因素。然而,氧化应激对 HIV 特异性免疫反应构成了巨大挑战,损害了机体控制病毒复制的能力。在本文中,我们建立了一个艾滋病病毒感染模型,以研究免疫损伤对病毒动态的影响。我们推导出了基本复制数([math])和阈值([math])。利用抗氧化剂参数作为分岔参数,我们确定了系统呈现鞍节点分岔的向后分岔和向前分岔。具体来说,当[math]时,如果抗氧化剂参数低于治疗后控制阈值,病毒就会反弹。相反,当抗氧化剂参数超过精英控制阈值时,病毒仍处于精英控制之下。两个阈值之间的区域代表一个双稳态区间。这些结果可以解释为什么一些艾滋病病毒感染者在停止治疗后病毒会迅速反弹,而另一些患者却能在较长时间内实现治疗后控制。
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来源期刊
SIAM Journal on Applied Dynamical Systems
SIAM Journal on Applied Dynamical Systems 物理-物理:数学物理
CiteScore
3.60
自引率
4.80%
发文量
74
审稿时长
6 months
期刊介绍: SIAM Journal on Applied Dynamical Systems (SIADS) publishes research articles on the mathematical analysis and modeling of dynamical systems and its application to the physical, engineering, life, and social sciences. SIADS is published in electronic format only.
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