Literature DB >> 23238280

Modeling the three stages in HIV infection.

Esteban A Hernandez-Vargas1, Richard H Middleton.   

Abstract

A typical HIV infection response consists of three stages: an initial acute infection, a long asymptomatic period and a final increase in viral load with simultaneous collapse in healthy CD4+T cell counts. The majority of existing mathematical models give a good representation of either the first two stages or the last stage of the infection. Using macrophages as a long-term active reservoir, a deterministic model is proposed to explain the three stages of the infection including the progression to AIDS. Simulation results illustrate how chronic infected macrophages can explain the progression to AIDS provoking viral explosion. Further simulation studies suggest that the proposed model retains its key properties even under moderately large parameter variations. This model provides important insights on how macrophages might play a crucial role in the long term behavior of HIV infection. Crown
Copyright © 2012. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23238280     DOI: 10.1016/j.jtbi.2012.11.028

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  21 in total

1.  Splenic Damage during SIV Infection: Role of T-Cell Depletion and Macrophage Polarization and Infection.

Authors:  Dionna W Williams; Elizabeth L Engle; Erin N Shirk; Suzanne E Queen; Lucio Gama; Joseph L Mankowski; M Christine Zink; Janice E Clements
Journal:  Am J Pathol       Date:  2016-06-18       Impact factor: 4.307

2.  Impact of Tobacco Smoke in HIV Progression: a Major Risk Factor for the Development of NeuroAIDS and Associated of CNS Disorders.

Authors:  Aditya Bhalerao; Luca Cucullo
Journal:  Z Gesundh Wiss       Date:  2019-03-09

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

Authors:  Ting Guo; Zhipeng Qiu; Mingwang Shen; Libin Rong
Journal:  J Math Biol       Date:  2021-04-15       Impact factor: 2.164

4.  Computational study to determine when to initiate and alternate therapy in HIV infection.

Authors:  Matthias Haering; Andreas Hördt; Michael Meyer-Hermann; Esteban A Hernandez-Vargas
Journal:  Biomed Res Int       Date:  2014-05-11       Impact factor: 3.411

5.  Controlling of pandemic COVID-19 using optimal control theory.

Authors:  Shahriar Seddighi Chaharborj; Sarkhosh Seddighi Chaharborj; Jalal Hassanzadeh Asl; Pei See Phang
Journal:  Results Phys       Date:  2021-05-19       Impact factor: 4.476

6.  Dynamical characterization of antiviral effects in COVID-19.

Authors:  Pablo Abuin; Alejandro Anderson; Antonio Ferramosca; Esteban A Hernandez-Vargas; Alejandro H Gonzalez
Journal:  Annu Rev Control       Date:  2021-05-28       Impact factor: 6.091

7.  Ebola virus infection modeling and identifiability problems.

Authors:  Van Kinh Nguyen; Sebastian C Binder; Alessandro Boianelli; Michael Meyer-Hermann; Esteban A Hernandez-Vargas
Journal:  Front Microbiol       Date:  2015-04-09       Impact factor: 5.640

8.  Modeling the Slow CD4+ T Cell Decline in HIV-Infected Individuals.

Authors:  Sunpeng Wang; Patricia Hottz; Mauro Schechter; Libin Rong
Journal:  PLoS Comput Biol       Date:  2015-12-28       Impact factor: 4.475

Review 9.  The gut microbiome in human immunodeficiency virus infection.

Authors:  Gili Zilberman-Schapira; Niv Zmora; Shlomik Itav; Stavros Bashiardes; Hila Elinav; Eran Elinav
Journal:  BMC Med       Date:  2016-06-03       Impact factor: 8.775

10.  Mechanistic Models Predict Efficacy of CCR5-Deficient Stem Cell Transplants in HIV Patient Populations.

Authors:  I Hosseini; F Mac Gabhann
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-02-16
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