ARTICLE

Volume 7,Issue 2

Cite this article
2
Citations
17
Views
26 June 2026

Research on the Nonlinear Dynamics and Biological Mechanism of CD8+ T Cell Response to Viral Infection with Time Delay and Reaction Diffusion

Yijia Chen1*
Show Less
1 Yuxi Normal University, Yuxi 65310, Yunnan, China
CBR 2026 , 7(2), 14–18; https://doi.org/10.18063/CBR.v7i2.1891
© 2026 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

To clarify the coupling mechanism of time delay and spatial diffusion during CD8+T cell immune response, this paper constructs a time-delay reaction-diffusion model. By means of stability analysis and bifurcation theory, the basic number of rebirths of viral infection and the conditions for the existence of various equilibrium points were clarified. The findings suggest that when the hysteresis exceeds the critical threshold, Hopf bifurcation is induced, causing the system to shift from a virus-cleared state to a periodic oscillation mode, and Turing instability prompts the formation of spatial patterns when the viral spread rate is significantly faster than that of T cells. The coupling effect between time delay and diffusion can give rise to more complex spatiotemporal dynamics. The findings illustrate the key regulatory role of immune delay and spatial heterogeneity in infection outcomes.

Keywords
CD8+T cells
Time lag
Reaction-diffusion
Hopf bifurcation
Turing instability
Viral dynamics
Funding
Project Category: Provincial Project - the Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities’ Association (Project No.: 202301BA070001-089).
References

[1] Liu G, Ding Y, 2021, Dynamic Properties Analysis of Tumor Immune Diffusion Models with Time Delay. Journal of Shenyang University (Natural Science Edition), 33(5): 445–454.

[2] Sun X, 2015, Study on the Dynamic Properties of Infectious Disease Models with Time Delay and Immune Response, thesis, Harbin Institute of Technology.

[3] Zhang Z, Zhang Y, Zhang W, et al., 2023, Bifurcated Periodic Solutions for a Class of Time-Delay Infectious Disease Models Considering Media Influence. Journal of Yanbian University (Natural Science Edition), 49(4): 333–340.

[4] Liu X, Qiu Z, Guo T, 2026, Analysis of CD8+T Cell-Mediated HIV Immunodynamic Model. Journal of Ludong University (Natural Science Edition), 2026: 1–7.

Share
Back to top