Literature DB >> 18445499

The probability of HIV infection in a new host and its reduction with microbicides.

Henry C Tuckwell1, Patrick D Shipman, Alan S Perelson.   

Abstract

We use a simple mathematical model to estimate the probability and its time dependence that one or more HIV virions successfully infect target cells. For the transfer of a given number of virions to target cells we derive expressions for the probability P(inf), of infection. Thus, in the case of needlestick transfer we determine P(inf) and an approximate time window for post-exposure prophylaxis (PEP). For heterosexual transmission, where the transfer process is more complicated, a parameter gamma is employed which measures the strength of the infection process. For the smaller value of gamma, P(inf) is from 6 x 10(-5) to 0.93 or from 7.82 x 10(-6) to 0.29, where the lower figures are for the transfer of 100 virions and the upper figures are for the transfer of 4.4 million virions. We estimate the reductions in P(inf) which occur with a microbicide of a given efficacy. It is found that reductions may be approximately as stated when the number of virions transferred is less than about 10(5), but declines to zero for viral loads above that number. It is concluded that PEP should always be applied immediately after a needlestick incident. Further, manufacturers of microbicides should be encouraged to investigate and report their effectiveness at various transferred viral burdens.

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Year:  2008        PMID: 18445499     DOI: 10.1016/j.mbs.2008.03.005

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


  19 in total

1.  On the extinction probability in models of within-host infection: the role of latency and immunity.

Authors:  Ada W C Yan; Pengxing Cao; James M McCaw
Journal:  J Math Biol       Date:  2016-01-09       Impact factor: 2.259

2.  Transport theory for HIV diffusion through in vivo distributions of topical microbicide gels.

Authors:  Bonnie E Lai; Marcus H Henderson; Jennifer J Peters; David K Walmer; David F Katz
Journal:  Biophys J       Date:  2009-11-04       Impact factor: 4.033

3.  Viral dynamics during primary simian immunodeficiency virus infection: effect of time-dependent virus infectivity.

Authors:  Naveen K Vaidya; Ruy M Ribeiro; Christopher J Miller; Alan S Perelson
Journal:  J Virol       Date:  2010-02-10       Impact factor: 5.103

4.  Stochastic models for virus and immune system dynamics.

Authors:  Yuan Yuan; Linda J S Allen
Journal:  Math Biosci       Date:  2011-09-16       Impact factor: 2.144

5.  Quantifying the impact of nevirapine-based prophylaxis strategies to prevent mother-to-child transmission of HIV-1: a combined pharmacokinetic, pharmacodynamic, and viral dynamic analysis to predict clinical outcomes.

Authors:  M Frank; M von Kleist; A Kunz; G Harms; C Schütte; C Kloft
Journal:  Antimicrob Agents Chemother       Date:  2011-09-26       Impact factor: 5.191

6.  Discussion and revision of the mathematical modeling tool described in the previously published article "Modeling HIV Transmission risk among Mozambicans prior to their initiating highly active antiretroviral therapy".

Authors:  Susan Cassels; Cynthia R Pearson; Ann E Kurth; Diane P Martin; Jane M Simoni; Eduardo Matediana; Stephen Gloyd
Journal:  AIDS Care       Date:  2009-07

7.  Using modeling to help understand vaginal microbicide functionality and create better products.

Authors:  David F Katz; Yajing Gao; Meng Kang
Journal:  Drug Deliv Transl Res       Date:  2011-05-17       Impact factor: 4.617

8.  HIV promoter integration site primarily modulates transcriptional burst size rather than frequency.

Authors:  Ron Skupsky; John C Burnett; Jonathan E Foley; David V Schaffer; Adam P Arkin
Journal:  PLoS Comput Biol       Date:  2010-09-30       Impact factor: 4.475

Review 9.  Modeling antiretroviral drug responses for HIV-1 infected patients using differential equation models.

Authors:  Yanni Xiao; Hongyu Miao; Sanyi Tang; Hulin Wu
Journal:  Adv Drug Deliv Rev       Date:  2013-04-17       Impact factor: 15.470

10.  Computational inference methods for selective sweeps arising in acute HIV infection.

Authors:  Sivan Leviyang
Journal:  Genetics       Date:  2013-05-11       Impact factor: 4.562

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