ArticleJournal of theoretical biology2007
Modeling within-host HIV-1 dynamics and the evolution of drug resistance: trade-offs between viral enzyme function and drug susceptibility.
Article in Journal of theoretical biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Trial
- Residual activity of two HIV antiretroviral regimens prescribed without virological monitoring.Antimicrobial agents and chemotherapy · 2011Trial
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- A novel HIV model through fractional enlarged integral and differential operators.Scientific reports · 2023Article
- Multiple cohort study of hospitalized SARS-CoV-2 in-host infection dynamics: Parameter estimates, identifiability, sensitivity and the eclipse phase profile.Journal of theoretical biology · 2023Article
- Mathematical Modeling and Analysis of the Dynamics of RNA Viruses in Presence of Immunity and Treatment: A Case Study of SARS-CoV-2.Vaccines · 2023Article
- Article
- Modeling the dynamics of viral infections in presence of latently infected cells.Chaos, solitons, and fractals · 2020Article
- A discrete-time analog for coupled within-host and between-host dynamics in environmentally driven infectious disease.Advances in difference equations · 2018Article
- Mathematical Analysis of Viral Replication Dynamics and Antiviral Treatment Strategies: From Basic Models to Age-Based Multi-Scale Modeling.Frontiers in microbiology · 2018Review
- The Effects of Time Lag and Cure Rate on the Global Dynamics of HIV-1 Model.BioMed research international · 2017Article
- Global stability of infection-free state and endemic infection state of a modified human immunodeficiency virus infection model.IET systems biology · 2015Article
- Connecting within-host dynamics to the rate of viral molecular evolution.Virus evolution · 2015Article
- Dynamics analysis and simulation of a modified HIV infection model with a saturated infection rate.Computational and mathematical methods in medicine · 2014Article
- Mathematical modeling of viral infection dynamics in spherical organs.Journal of mathematical biology · 2013Article
- HIV populations are large and accumulate high genetic diversity in a nonlinear fashion.Journal of virology · 2013Article
- Systems mapping of HIV-1 infection.BMC genetics · 2012Article
- Global stability for an HIV-1 infection model including an eclipse stage of infected cells.Journal of mathematical analysis and applications · 2012Article
- Fractional modeling dynamics of HIV and CD4+ T-cells during primary infection.Nonlinear biomedical physics · 2012Article
- Resistance evolution in HIV - modeling when to intervene.Proceedings of the ... American Control Conference. American Control Conference · 2012Article
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Authors and funding
4 authors.
Funding
Abstract
There are many biological steps between viral infection of CD4(+) T cells and the production of HIV-1 virions. Here we incorporate an eclipse phase, representing the stage in which infected T cells have not started to produce new virus, into a simple HIV-1 model. Model calculations suggest that the quicker infected T cells progress from the eclipse stage to the productively infected stage, the more likely that a viral strain will persist. Long-term treatment effectiveness of antiretroviral drugs is often hindered by the frequent emergence of drug resistant virus during therapy. We link drug resistance to both the rate of progression of the eclipse phase and the rate of viral production of the resistant strain, and explore how the resistant strain could evolve to maximize its within-host viral fitness. We obtained the optimal progression rate and the optimal viral production rate, which maximize the fitness of a drug resistant strain in the presence of drugs. We show that the window of opportunity for invasion of drug resistant strains is widened for a higher level of drug efficacy provided that the treatment is not potent enough to eradicate both the sensitive and resistant virus.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.