Global Properties of HIV-1 Dynamics Models with CTL Immune Impairment and Latent Cell-to-Cell Spread

被引:3
作者
Alshamrani, Noura H. [1 ]
Halawani, Reham H. [1 ]
Shammakh, Wafa [1 ]
Elaiw, Ahmed M. [2 ]
机构
[1] Univ Jeddah, Fac Sci, Dept Math, POB 80327, Jeddah 21589, Saudi Arabia
[2] King Abdulaziz Univ, Fac Sci, Dept Math, POB 80203, Jeddah 21589, Saudi Arabia
关键词
HIV-1; cell-to-cell infection; latently infected cells; immune impairment; global stability; distributed delays; Lyapunov function; VIRAL-INFECTION MODEL; VIRUS DYNAMICS; BIFURCATION-ANALYSIS; STABILITY; DELAY; REPLICATION; RESPONSES;
D O I
10.3390/math11173743
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper presents and analyzes two mathematical models for the human immunodeficiency virus type-1 (HIV-1) infection with Cytotoxic T Lymphocyte cell (CTL) immune impairment. These models describe the interactions between healthy CD4+T cells, latently and actively infected cells, HIV-1 particles, and CTLs. The healthy CD4+T cells might be infected when they make contact with: (i) HIV-1 particles due to virus-to-cell (VTC) contact; (ii) latently infected cells due to latent cell-to-cell (CTC) contact; and (iii) actively infected cells due to active CTC contact. Distributed time delays are considered in the second model. We show the nonnegativity and boundedness of the solutions of the systems. Further, we derive basic reproduction numbers R0 and R & SIM;0, that determine the existence and stability of equilibria of our proposed systems. We establish the global asymptotic stability of all equilibria by using the Lyapunov method together with LaSalle's invariance principle. We confirm the theoretical results by numerical simulations. The effect of immune impairment, time delay and CTC transmission on the HIV-1 dynamics are discussed. It is found that weak immunity contributes significantly to the development of the disease. Further, we have established that the presence of time delay can significantly decrease the basic reproduction number and then suppress the HIV-1 replication. On the other hand, the presence of latent CTC spread increases the basic reproduction number and then enhances the viral progression. Thus, neglecting the latent CTC spread in the HIV-1 infection model will lead to an underestimation of the basic reproduction number. Consequently, the designed drug therapies will not be accurate or sufficient to eradicate the viruses from the body. These findings may help to improve the understanding of the dynamics of HIV-1 within a host.
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页数:29
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共 60 条
  • [21] Hale J., 1993, INTRO FUNCTIONAL DIF
  • [22] Modeling the dynamics of viral infections in presence of latently infected cells
    Hattaf, Khalid
    Dutta, Hemen
    [J]. CHAOS SOLITONS & FRACTALS, 2020, 136
  • [23] Dynamics analysis of a delayed viral infection model with logistic growth and immune impairment
    Hu, Zhixing
    Zhang, Jiajia
    Wang, Hui
    Ma, Wanbiao
    Liao, Fucheng
    [J]. APPLIED MATHEMATICAL MODELLING, 2014, 38 (02) : 524 - 534
  • [24] Cell-to-cell infection by HIV contributes over half of virus infection
    Iwami, Shingo
    Takeuchi, Junko S.
    Nakaoka, Shinji
    Mammano, Fabrizio
    Clavel, Francois
    Inaba, Hisashi
    Kobayashi, Tomoko
    Misawa, Naoko
    Aihara, Kazuyuki
    Koyanagi, Yoshio
    Sato, Kei
    [J]. ELIFE, 2015, 4
  • [25] Analysis of a viral infection model with immune impairment and cure rate
    Jia, Jianwen
    Shi, Xuewei
    [J]. JOURNAL OF NONLINEAR SCIENCES AND APPLICATIONS, 2016, 9 (05): : 3287 - 3298
  • [26] GLOBAL PROPERTIES OF A VIRUS DYNAMICS MODEL WITH SELF-PROLIFERATION OF CTLS
    Jiang, Cuicui
    Kong, Huan
    Zhang, Guohong
    Wang, Kaifa
    [J]. MATHEMATICS IN APPLIED SCIENCES AND ENGINEERING, 2021, 2 (02): : 123 - 133
  • [27] COMPLETE CLASSIFICATION OF GLOBAL DYNAMICS OF A VIRUS MODEL WITH IMMUNE RESPONSES
    Jiang, Cuicui
    Wang, Wendi
    [J]. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2014, 19 (04): : 1087 - 1103
  • [28] Retroviral spread by induction of virological synapses
    Jolly, C
    Sattentau, QJ
    [J]. TRAFFIC, 2004, 5 (09) : 643 - 650
  • [29] Virus dynamics in the presence of synaptic transmission
    Komarova, Natalia L.
    Wodarz, Dominik
    [J]. MATHEMATICAL BIOSCIENCES, 2013, 242 (02) : 161 - 171
  • [30] Analysis of time delay in viral infection model with immune impairment
    Krishnapriya, P.
    Pitchaimani, M.
    [J]. JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2017, 55 (1-2) : 421 - 453