Literature DB >> 19389409

Mathematical modeling of viral kinetics under immune control during primary HIV-1 infection.

David Burg1, Libin Rong, Avidan U Neumann, Harel Dahari.   

Abstract

Primary human immunodeficiency virus (HIV) infection is characterized by an initial exponential increase of viral load in peripheral blood reaching a peak, followed by a rapid decline to the viral setpoint. Although the target-cell-limited model can account for part of the viral kinetics observed early in infection [Phillips, 1996. Reduction of HIV concentration during acute infection: independence from a specific immune response. Science 271 (5248), 497-499], it frequently predicts highly oscillatory kinetics after peak viremia, which is not typically observed in clinical data. Furthermore, the target-cell-limited model is unable to predict long-term viral kinetics, unless a delayed immune effect is assumed [Stafford et al., 2000. Modeling plasma virus concentration during primary HIV infection. J. Theor. Biol. 203 (3), 285-301]. We show here that extending the target-cell-limited model, by implementing a saturation term for HIV-infected cell loss dependent upon infected cell levels, is able to reproduce the diverse observed viral kinetic patterns without the assumption of a delayed immune response. Our results suggest that the immune response may have significant effect on the control of the virus during primary infection and may support experimental observations that an anti-HIV immune response is already functional during peak viremia.

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Year:  2009        PMID: 19389409     DOI: 10.1016/j.jtbi.2009.04.010

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


  20 in total

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3.  The majority of CD4+ T-cell depletion during acute simian-human immunodeficiency virus SHIV89.6P infection occurs in uninfected cells.

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Journal:  J Virol       Date:  2014-01-03       Impact factor: 5.103

4.  Validated Models of Immune Response to Virus Infection.

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Journal:  Curr Opin Syst Biol       Date:  2018-10-31

Review 5.  Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology.

Authors:  Joseph M Cicchese; Stephanie Evans; Caitlin Hult; Louis R Joslyn; Timothy Wessler; Jess A Millar; Simeone Marino; Nicholas A Cilfone; Joshua T Mattila; Jennifer J Linderman; Denise E Kirschner
Journal:  Immunol Rev       Date:  2018-09       Impact factor: 12.988

6.  Numerical schemes for solving and optimizing multiscale models with age of hepatitis C virus dynamics.

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Journal:  Math Biosci       Date:  2018-03-15       Impact factor: 2.144

Review 7.  Mathematical Models of HIV Latency.

Authors:  Alison L Hill
Journal:  Curr Top Microbiol Immunol       Date:  2018       Impact factor: 4.291

8.  Dynamics of Persistent Oral Cytomegalovirus Shedding During Primary Infection in Ugandan Infants.

Authors:  Bryan T Mayer; Laura Matrajt; Corey Casper; Elizabeth M Krantz; Lawrence Corey; Anna Wald; Soren Gantt; Joshua T Schiffer
Journal:  J Infect Dis       Date:  2016-09-20       Impact factor: 5.226

9.  Quantification of the relative importance of CTL, B cell, NK cell, and target cell limitation in the control of primary SIV-infection.

Authors:  Marjet Elemans; Rodolphe Thiébaut; Amitinder Kaur; Becca Asquith
Journal:  PLoS Comput Biol       Date:  2011-03-03       Impact factor: 4.475

10.  Uncertainty quantification in simulations of epidemics using polynomial chaos.

Authors:  F Santonja; B Chen-Charpentier
Journal:  Comput Math Methods Med       Date:  2012-08-15       Impact factor: 2.238

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