Literature DB >> 33860365

Dynamics of a new HIV model with the activation status of infected cells.

Ting Guo1,2, Zhipeng Qiu3, Mingwang Shen4, Libin Rong5.   

Abstract

The activation status can dictate the fate of an HIV-infected CD4+ T cell. Infected cells with a low level of activation remain latent and do not produce virus, while cells with a higher level of activation are more productive and thus likely to transfer more virions to uninfected cells during cell-to-cell transmission. How the activation status of infected cells affects HIV dynamics under antiretroviral therapy remains unclear. We develop a new mathematical model that structures the population of infected cells continuously according to their activation status. The effectiveness of antiretroviral drugs in blocking cell-to-cell viral transmission decreases as the level of activation of infected cells increases because the more virions are transferred from infected to uninfected cells during cell-to-cell transmission, the less effectively the treatment is able to inhibit the transmission. The basic reproduction number [Formula: see text] of the model is shown to determine the existence and stability of the equilibria. Using the principal spectral theory and comparison principle, we show that the infection-free equilibrium is locally and globally asymptotically stable when [Formula: see text] is less than one. By constructing Lyapunov functional, we prove that the infected equilibrium is globally asymptotically stable when [Formula: see text] is greater than one. Numerical investigation shows that even when treatment can completely block cell-free virus infection, virus can still persist due to cell-to-cell transmission. The random switch between infected cells with different activation levels can also contribute to the replenishment of the latent reservoir, which is considered as a major barrier to viral eradication. This study provides a new modeling framework to study the observations, such as the low viral load persistence, extremely slow decay of latently infected cells and transient viral load measurements above the detection limit, in HIV-infected patients during suppressive antiretroviral therapy.

Entities:  

Keywords:  Cell-to-cell transmission; Global stability; HIV infection model; HIV persistence; Status structure; Viral blips

Mesh:

Substances:

Year:  2021        PMID: 33860365      PMCID: PMC8049625          DOI: 10.1007/s00285-021-01604-3

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.164


  48 in total

1.  Uniform persistence and permanence for non-autonomous semiflows in population biology.

Authors:  H R Thieme
Journal:  Math Biosci       Date:  2000-08       Impact factor: 2.144

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Journal:  Virology       Date:  1992-02       Impact factor: 3.616

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Authors:  O Diekmann; J A Heesterbeek; J A Metz
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

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Authors:  Leor S Weinberger; John C Burnett; Jared E Toettcher; Adam P Arkin; David V Schaffer
Journal:  Cell       Date:  2005-07-29       Impact factor: 41.582

5.  Influence of raltegravir intensification on viral load and 2-LTR dynamics in HIV patients on suppressive antiretroviral therapy.

Authors:  Xia Wang; Gregory Mink; Daniel Lin; Xinyu Song; Libin Rong
Journal:  J Theor Biol       Date:  2016-12-23       Impact factor: 2.691

6.  Transcriptional profiles of latent human immunodeficiency virus in infected individuals: effects of Tat on the host and reservoir.

Authors:  Xin Lin; Dan Irwin; Satoshi Kanazawa; Laurence Huang; Joseph Romeo; T S Benedict Yen; B Matija Peterlin
Journal:  J Virol       Date:  2003-08       Impact factor: 5.103

7.  Predominant mode of human immunodeficiency virus transfer between T cells is mediated by sustained Env-dependent neutralization-resistant virological synapses.

Authors:  Ping Chen; Wolfgang Hübner; Matthew A Spinelli; Benjamin K Chen
Journal:  J Virol       Date:  2007-08-29       Impact factor: 5.103

Review 8.  Cellular and molecular mechanisms involved in the establishment of HIV-1 latency.

Authors:  Daniel A Donahue; Mark A Wainberg
Journal:  Retrovirology       Date:  2013-02-01       Impact factor: 4.602

9.  Induction of HIV-1 replication in latently infected CD4+ T cells using a combination of cytokines.

Authors:  T W Chun; D Engel; S B Mizell; L A Ehler; A S Fauci
Journal:  J Exp Med       Date:  1998-07-06       Impact factor: 14.307

10.  Cell-to-cell infection by HIV contributes over half of virus infection.

Authors:  Shingo Iwami; Junko S Takeuchi; Shinji Nakaoka; Fabrizio Mammano; François Clavel; Hisashi Inaba; Tomoko Kobayashi; Naoko Misawa; Kazuyuki Aihara; Yoshio Koyanagi; Kei Sato
Journal:  Elife       Date:  2015-10-06       Impact factor: 8.140

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