Literature DB >> 17450401

Emergence of HIV-1 drug resistance during antiretroviral treatment.

Libin Rong1, Zhilan Feng, Alan S Perelson.   

Abstract

Treating HIV-infected patients with a combination of several antiretroviral drugs usually contributes to a substantial decline in viral load and an increase in CD4(+) T cells. However, continuing viral replication in the presence of drug therapy can lead to the emergence of drug-resistant virus variants, which subsequently results in incomplete viral suppression and a greater risk of disease progression. In this paper, we use a simple mathematical model to study the mechanism of the emergence of drug resistance during therapy. The model includes two viral strains: wild-type and drug-resistant. The wild-type strain can mutate and become drug-resistant during the process of reverse transcription. The reproductive ratio [Symbol: see text](0) for each strain is obtained and stability results of the steady states are given. We show that drug-resistant virus is more likely to arise when, in the presence of antiretroviral treatment, the reproductive ratios of both strains are close. The wild-type virus can be suppressed even when the reproductive ratio of this strain is greater than 1. A pharmacokinetic model including blood and cell compartments is employed to estimate the drug efficacies of both the wild-type and the drug-resistant strains. We investigate how time-varying drug efficacy (due to the drug dosing schedule and suboptimal adherence) affects the antiviral response, particularly the emergence of drug resistance. Simulation results suggest that perfect adherence to regimen protocol will well suppress the viral load of the wild-type strain while drug-resistant variants develop slowly. However, intermediate levels of adherence may result in the dominance of the drug-resistant virus several months after the initiation of therapy. When more doses of drugs are missed, the failure of suppression of the wild-type virus will be observed, accompanied by a relatively slow increase in the drug-resistant viral load.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17450401     DOI: 10.1007/s11538-007-9203-3

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  29 in total

1.  Modeling within-host HIV-1 dynamics and the evolution of drug resistance: trade-offs between viral enzyme function and drug susceptibility.

Authors:  Libin Rong; Michael A Gilchrist; Zhilan Feng; Alan S Perelson
Journal:  J Theor Biol       Date:  2007-04-19       Impact factor: 2.691

2.  A mathematical model of HIV dynamics in the presence of a rescuing virus with replication deficiency.

Authors:  Elias Zintzaras; Axel Kowald
Journal:  Theory Biosci       Date:  2011-01-29       Impact factor: 1.919

3.  Basic PK/PD principles of drug effects in circular/proliferative systems for disease modelling.

Authors:  Philippe Jacqmin; Lynn McFadyen; Janet R Wade
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-03-04       Impact factor: 2.745

4.  Viral dynamics model with CTL immune response incorporating antiretroviral therapy.

Authors:  Yan Wang; Yicang Zhou; Fred Brauer; Jane M Heffernan
Journal:  J Math Biol       Date:  2012-08-29       Impact factor: 2.259

5.  Threshold virus dynamics with impulsive antiretroviral drug effects.

Authors:  Jie Lou; Yijun Lou; Jianhong Wu
Journal:  J Math Biol       Date:  2011-10-11       Impact factor: 2.259

6.  Perspectives on the role of patient-centered medical homes in HIV Care.

Authors:  Gregory Pappas; Jia Yujiang; Naomi Seiler; Mary-Beth Malcarney; Katherine Horton; Irshad Shaikh; Gunther Freehill; Carla Alexander; Mohammad N Akhter; Julia Hidalgo
Journal:  Am J Public Health       Date:  2014-05-15       Impact factor: 9.308

7.  A model of HIV-1 infection with two time delays: mathematical analysis and comparison with patient data.

Authors:  Kasia A Pawelek; Shengqiang Liu; Faranak Pahlevani; Libin Rong
Journal:  Math Biosci       Date:  2011-11-13       Impact factor: 2.144

8.  A multi-variant, viral dynamic model of genotype 1 HCV to assess the in vivo evolution of protease-inhibitor resistant variants.

Authors:  Bambang S Adiwijaya; Eva Herrmann; Brian Hare; Tara Kieffer; Chao Lin; Ann D Kwong; Varun Garg; John C R Randle; Christoph Sarrazin; Stefan Zeuzem; Paul R Caron
Journal:  PLoS Comput Biol       Date:  2010-04-15       Impact factor: 4.475

Review 9.  Modeling HIV persistence, the latent reservoir, and viral blips.

Authors:  Libin Rong; Alan S Perelson
Journal:  J Theor Biol       Date:  2009-06-17       Impact factor: 2.691

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.