The Effects of Latent Infection on the Dynamics of HIV

被引:26
|
作者
Pankavich S. [1 ]
机构
[1] Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, 80401, CO
基金
美国国家科学基金会;
关键词
Antiretroviral therapy; Global asymptotic stability; HIV-1; Latently infected T-cells; Mathematical model;
D O I
10.1007/s12591-014-0234-6
中图分类号
学科分类号
摘要
One way in which the human immunodeficiency virus (HIV-1) replicates within a host is by infecting activated CD4 + T-cells, which then produce additional copies of the virus. Even with the introduction of antiretroviral drug therapy, which has been very successful over the past decade, a large obstacle to the complete eradication of the virus is the presence of viral reservoirs in the form of latently infected CD4 + T-cells. We consider a model of HIV infection that describes T-cell and viral interactions, as well as, the production and activation of latently infected T-cells. Upon determining equilibrium states of the latent cell model, the local and global asymptotic behavior of solutions is examined, and the basic reproduction number of the system is computed to be strictly less than that of the corresponding three-component model, which omits the effects of latent infection. In particular, this implies that a wider variety of parameter values will lead to viral eradication as t→ ∞ due to the appearance of latent CD4 + T-cells. With this realization we discuss possible alternative notions for eradication and persistence of infection other than traditional dynamical tools. These results are further illustrated by a number of numerical simulations. © 2015, Foundation for Scientific Research and Technological Innovation.
引用
收藏
页码:281 / 303
页数:22
相关论文
共 50 条
  • [1] The Effects of HIV-1 Infection on Latent Tuberculosis
    Bauer, Amy L.
    Hogue, Ian B.
    Marino, Simeone
    Kirschner, Denise E.
    MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 2008, 3 (07) : 229 - 266
  • [2] Viral dynamics of an HIV model with latent infection incorporating antiretroviral therapy
    Yan Wang
    Jun Liu
    Luju Liu
    Advances in Difference Equations, 2016
  • [3] Viral dynamics of an HIV model with latent infection incorporating antiretroviral therapy
    Wang, Yan
    Liu, Jun
    Liu, Luju
    ADVANCES IN DIFFERENCE EQUATIONS, 2016,
  • [4] Latent Tuberculosis and HIV Infection
    Bares, Sara H.
    Swindells, Susan
    CURRENT INFECTIOUS DISEASE REPORTS, 2020, 22 (07)
  • [5] A mathematical approach to HIV infection dynamics
    Ida, A.
    Oharu, S.
    Oharu, Y.
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2007, 204 (01) : 172 - 186
  • [6] T-cell induced pathogenesis in HIV: bystander effects and latent infection
    Krakauer, DC
    Nowak, M
    PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1999, 266 (1423) : 1069 - 1075
  • [7] Modeling the Effect of HIV/AIDS Stigma on HIV Infection Dynamics in Kenya
    Levy, Ben
    Correia, Hannah E.
    Chirove, Farainumashe
    Ronoh, Marilyn
    Abebe, Ash
    Kgosimore, Moatlhodi
    Chimbola, Obias
    Machingauta, M. Hellen
    Lenhart, Suzanne
    White, K. A. Jane
    BULLETIN OF MATHEMATICAL BIOLOGY, 2021, 83 (05)
  • [8] The Potential Contribution of Caveolin 1 to HIV Latent Infection
    Sahay, Bikash
    Mergia, Ayalew
    PATHOGENS, 2020, 9 (11): : 1 - 15
  • [9] Effects of combined drug therapy on HIV-1 infection dynamics
    Kamboj, Deepmala
    Sharma, M. D.
    INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2016, 9 (05)
  • [10] Control of Infection Dynamics with Application to HIV/AIDS Model
    Chang, H.
    Astolfi, A.
    Shim, H.
    PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 3533 - 3538