Dynamics of virus infection under the influence of antibody and cytokine.

IF 2.2 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2026-12-31 Epub Date: 2026-03-20 DOI:10.1080/17513758.2026.2645304
Cuicui Jiang, Yanni Tian, Miaoran Yao, Kaifa Wang
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引用次数: 0

Abstract

To study the macroscopic dynamics of susceptible host cells, infected host cells, free virus particles and antibodies after viral infection within-host, this study develops a novel dynamic model that integrates three key mechanisms: a general incidence function capturing the complexity of antibody production, the inhibitory effect of antibodies on viral infectivity and the cytokine-mediated self-cure of infected cells. The basic reproduction numbers for both the virus and immune response are derived, along with sufficient conditions for the stability of equilibria. Bifurcation analysis revealed that a Hopf bifurcation may occur when the basic reproduction number of the immune response exceeds one. Numerical simulations highlight the critical role of saturation effects in viral replication and the immune response for infection control. Antibody immunity, once depleted, may not be replenished and neglecting saturation effects could overestimate both the oscillatory parameter range and the severity of infection.

抗体和细胞因子影响下的病毒感染动态。
为了研究宿主内病毒感染后易感宿主细胞、受感染宿主细胞、游离病毒颗粒和抗体的宏观动力学,本研究建立了一个新的动力学模型,该模型集成了三个关键机制:捕获抗体产生复杂性的一般发生率函数、抗体对病毒感染的抑制作用和细胞因子介导的受感染细胞自愈。导出了病毒和免疫反应的基本繁殖数,以及平衡稳定的充分条件。分岔分析表明,当免疫应答的基本繁殖数超过1时,可能发生Hopf分岔。数值模拟强调了饱和效应在病毒复制和感染控制的免疫反应中的关键作用。抗体免疫一旦耗尽,可能无法补充,忽略饱和效应可能会高估振荡参数范围和感染的严重程度。
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
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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