ArticleProceedings of the National Academy of Sciences of the United States of America2015
Post-treatment control of HIV infection.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.
What it found
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Who cites it
102 citing papers in PubMed.
- AZD5582 robustly reactivates latently infected cells and clears the majority of those reactivated from the SIV reservoir.bioRxiv : the preprint server for biology · 2026Article
- Clinical trial simulation of antiviral drugs.Journal of virology · 2026Review
- A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models.Bulletin of mathematical biology · 2026Article
- Review
- Learning from nature: HIV elite controllers as blueprints for a functional cure.Virology journal · 2025Review
- Review
- Dynamical modeling and data analysis of HIV infection with infection-age, CTLs immune response and delayed antibody immune response.Journal of mathematical biology · 2025Article
- Impact on clinical biomarkers, immune recovery, and HIV reservoir dynamics of switching to EVG/c/FTC/TAF versus maintaining a non-INSTI-based regimen in virologically suppressed individuals.Infectious diseases & immunity · 2025Article
- Applications and limitations of the passenger hypothesis for HIV reservoir persistence and cure.Journal of virology · 2025Review
- Bistability and bifurcations in HIV-1 infection model with non-monotone responses.Scientific reports · 2025Article
- HIV controllers: hope for a functional cure.Frontiers in immunology · 2025Review
- Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection: Learning in vivo dynamics using ex vivo data.PLoS computational biology · 2024Article
- Article
- Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024Review
- Understanding early HIV-1 rebound dynamics following antiretroviral therapy interruption: The importance of effector cell expansion.PLoS pathogens · 2024Article
- Assessing the impact of autologous neutralizing antibodies on rebound dynamics in postnatally SHIV-infected ART-treated infant rhesus macaques.bioRxiv : the preprint server for biology · 2024Article
- Modeling dynamics of acute HIV infection incorporating density-dependent cell death and multiplicity of infection.PLoS computational biology · 2024Article
- Comparative analysis of within-host dynamics of acute infection and viral rebound dynamics in postnatally SHIV-infected ART-treated infant rhesus macaques.bioRxiv : the preprint server for biology · 2024Article
- Understanding early HIV-1 rebound dynamics following antiretroviral therapy interruption: The importance of effector cell expansion.bioRxiv : the preprint server for biology · 2024Article
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
42 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Antiretroviral therapy (ART) for HIV is not a cure. However, recent studies suggest that ART, initiated early during primary infection, may induce post-treatment control (PTC) of HIV infection with HIV RNA maintained at <50 copies per mL. We investigate the hypothesis that ART initiated early during primary infection permits PTC by limiting the size of the latent reservoir, which, if small enough at treatment termination, may allow the adaptive immune response to prevent viral rebound (VR) and control infection. We use a mathematical model of within host HIV dynamics to capture interactions among target cells, productively infected cells, latently infected cells, virus, and cytotoxic T lymphocytes (CTLs). Analysis of our model reveals a range in CTL response strengths where a patient may show either VR or PTC, depending on the size of the latent reservoir at treatment termination. Below this range, patients will always rebound, whereas above this range, patients are predicted to behave like elite controllers. Using data on latent reservoir sizes in patients treated during primary infection, we also predict population-level VR times for noncontrollers consistent with observations.
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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.