AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.1 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

System-level stability and threshold dynamics of HIV-CTL interactions with intracellular and immune-activation delays

Sayaphat Suksai1Suthep Suantai2( )Aphisit Tamsat3Chunchom Salikupata4
Department of Mathematics, Faculty of Science, Srinakarinwirot University, Bangkok 10110, Thailand
Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
Police Nursing College, Police General Hospital, Royal Thai Police, Bangkok 10330, Thailand
Department of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
Show Author Information

Abstract

We formulate and analyze a within-host HIV-CTL model with two biologically motivated discrete delays: an intracellular eclipse delay associated with viral production and a delay in cytotoxic T-lymphocyte activation. While each delay has been studied separately, their combined influence on threshold structure and delay-dependent stability has not been systematically examined in a unified framework. We establish positivity and boundedness of solutions, characterize the infection-free and endemic equilibria, and derive the basic reproduction number together with delay-dependent stability conditions and a Hopf-type transition criterion for the endemic state. Numerically, we perform coarse and high-resolution delay sweeps and construct a two-parameter stability map using viral-load oscillation amplitude as the main diagnostic output. Under the biologically calibrated baseline parameter set, solutions converge to a non-oscillatory chronic state across the physiologically relevant delay ranges explored, and the computed oscillation amplitudes remain numerically negligible. Sensitivity screening and robustness checks further indicate that the infection rate and the CTL activation rate are the dominant drivers of long-term viral burden. These results clarify how intracellular and immune-activation delays shape HIV-CTL dynamics, while showing that delay-induced instability, although possible in principle, is not numerically detected in the baseline regime considered here.

CLC number: 34K20, 37G15, 92D30

References

【1】
【1】
 
 
AIMS Mathematics
Pages 10004-10032

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Suksai S, Suantai S, Tamsat A, et al. System-level stability and threshold dynamics of HIV-CTL interactions with intracellular and immune-activation delays. AIMS Mathematics, 2026, 11(4): 10004-10032. https://doi.org/10.3934/math.2026413

174

Views

11

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 09 February 2026
Revised: 16 March 2026
Accepted: 27 March 2026
Published: 14 April 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)