Literature DB >> 8942173

HIV-1 infection kinetics in tissue cultures.

J I Spouge1, R I Shrager, D S Dimitrov.   

Abstract

Despite intensive experimental work on HIV-1, very little theoretical work has focused on HIV-1 spread in tissue culture. This article uses two systems of ordinary differential equations to model two modes of viral spread, cell-free virus and cell-to-cell contact. The two models produce remarkably similar qualitative results. Simulations using realistic parameter regimes showed that starting with a small fraction of cells infected, both cell-free viral spread and direct cell-to-cell transmission give an initial exponential phase of viral growth, followed by either a crash or a gradual decline, extinguishing the culture. Under some conditions, an oscillatory phase may precede the extinction. Some previous models of in vivo HIV-1 infection oscillate, but only in unrealistic parameter regimes. Experimental tissue infections sometimes display several sequential cycles of oscillation, however, so our models can at least mimic them qualitatively. Significantly, the models show that infective oscillations can be explained by infection dynamics; biological heterogeneity is not required. The models also display proportionality between infected cells and cell-free virus, which is reassuringly consistent with assumptions about the equivalence of several measures of viral load, except that the proportionality requires a relatively constant total cell concentration. Tissue culture parameter values can be determined from accurate, controlled experiments. Therefore, if verified, our models should make interpreting experimental data and extrapolating it to in vivo conditions sharper and more reliable.

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Year:  1996        PMID: 8942173     DOI: 10.1016/s0025-5564(96)00064-8

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  8 in total

1.  Mathematical model of the Tat-Rev regulation of HIV-1 replication in an activated cell predicts the existence of oscillatory dynamics in the synthesis of viral components.

Authors:  Vitaly A Likhoshvai; Tamara M Khlebodarova; Sergei I Bazhan; Irina A Gainova; Valery A Chereshnev; Gennady A Bocharov
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

Review 2.  Molecular determinants of the ratio of inert to infectious virus particles.

Authors:  P J Klasse
Journal:  Prog Mol Biol Transl Sci       Date:  2014-12-01       Impact factor: 3.622

3.  Borrelia burgdorferi bba74 is expressed exclusively during tick feeding and is regulated by both arthropod- and mammalian host-specific signals.

Authors:  Vishwaroop B Mulay; Melissa J Caimano; Radha Iyer; Star Dunham-Ems; Dionysios Liveris; Mary M Petzke; Ira Schwartz; Justin D Radolf
Journal:  J Bacteriol       Date:  2009-02-13       Impact factor: 3.490

4.  Optimal HIV treatment by maximising immune response.

Authors:  Rebecca V Culshaw; Shigui Ruan; Raymond J Spiteri
Journal:  J Math Biol       Date:  2003-10-27       Impact factor: 2.259

5.  Immune activation, CD4+ T cell counts, and viremia exhibit oscillatory patterns over time in patients with highly resistant HIV infection.

Authors:  Christina M R Kitchen; Lilit Yeghiazarian; Rebecca Hoh; Joseph M McCune; Elizabeth Sinclair; Jeffrey N Martin; Steven G Deeks
Journal:  PLoS One       Date:  2011-06-20       Impact factor: 3.240

6.  Viral cell-to-cell spread: Conventional and non-conventional ways.

Authors:  Nicolas Cifuentes-Munoz; Farah El Najjar; Rebecca Ellis Dutch
Journal:  Adv Virus Res       Date:  2020-09-29       Impact factor: 9.937

7.  Multi-scale immunoepidemiological modeling of within-host and between-host HIV dynamics: systematic review of mathematical models.

Authors:  Nargesalsadat Dorratoltaj; Ryan Nikin-Beers; Stanca M Ciupe; Stephen G Eubank; Kaja M Abbas
Journal:  PeerJ       Date:  2017-09-28       Impact factor: 2.984

8.  Dynamics analysis of a delayed virus model with two different transmission methods and treatments.

Authors:  Tongqian Zhang; Junling Wang; Yuqing Li; Zhichao Jiang; Xiaofeng Han
Journal:  Adv Differ Equ       Date:  2020-01-06
  8 in total

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