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Multi-scale modeling of HIV infection in vitro and APOBEC3G-based anti-retroviral therapy
- Source :
- PLoS Computational Biology, Vol 8, Iss 2, p e1002371 (2012), PLoS Computational Biology
- Publication Year :
- 2012
- Publisher :
- Public Library of Science (PLoS), 2012.
-
Abstract
- The human APOBEC3G is an innate restriction factor that, in the absence of Vif, restricts HIV-1 replication by inducing excessive deamination of cytidine residues in nascent reverse transcripts and inhibiting reverse transcription and integration. To shed light on impact of A3G-Vif interactions on HIV replication, we developed a multi-scale computational system consisting of intracellular (single-cell), cellular and extracellular (multicellular) events by using ordinary differential equations. The single-cell model describes molecular-level events within individual cells (such as production and degradation of host and viral proteins, and assembly and release of new virions), whereas the multicellular model describes the viral dynamics and multiple cycles of infection within a population of cells. We estimated the model parameters either directly from previously published experimental data or by running simulations to find the optimum values. We validated our integrated model by reproducing the results of in vitro T cell culture experiments. Crucially, both downstream effects of A3G (hypermutation and reduction of viral burst size) were necessary to replicate the experimental results in silico. We also used the model to study anti-HIV capability of several possible therapeutic strategies including: an antibody to Vif; upregulation of A3G; and mutated forms of A3G. According to our simulations, A3G with a mutated Vif binding site is predicted to be significantly more effective than other molecules at the same dose. Ultimately, we performed sensitivity analysis to identify important model parameters. The results showed that the timing of particle formation and virus release had the highest impacts on HIV replication. The model also predicted that the degradation of A3G by Vif is not a crucial step in HIV pathogenesis.<br />Author Summary According to UNAIDS (The Joint UN Programme on HIV/AIDS) and WHO, HIV/AIDS has killed more than 25 million people worldwide since its recognition in 1981. Recently, APOBEC3G, a member of the APOBEC family, has been shown to be a potent inhibitor of HIV infection. In contrast, a viral protein, called Vif, is known to protect the virus by binding to APOBEC3G and causing the degradation of this enzyme. We have developed a computational model to simulate in vitro experiments that include A3G-Vif interactions at the intracellular level and T cell-HIV dynamics at the multicellular level. Experimental data were used to establish system parameters and also to validate predictions of our models. We studied various drugs targeting APOBEC3G and Vif pathways to find the optimum therapeutic approach against HIV replication. Our model predicted that a mutated form of APOBEC3G that does not bind to Vif performs significantly better at suppressing HIV replication compared to other drugs. We also found that the drug should be administered shortly after infection and it must be available to all cells in order to be effective.
- Subjects :
- Viral Diseases
In silico
T-Lymphocytes
viruses
Population
Somatic hypermutation
Bioengineering
HIV Infections
APOBEC-3G Deaminase
Biology
Virus Replication
Models, Biological
Cellular and Molecular Neuroscience
Engineering
Cytidine Deaminase
Genetics
vif Gene Products, Human Immunodeficiency Virus
Cluster Analysis
Humans
Computer Simulation
education
Molecular Biology
APOBEC3G
lcsh:QH301-705.5
Ecology, Evolution, Behavior and Systematics
education.field_of_study
Ecology
Virion
Computational Biology
Reproducibility of Results
Cytidine deaminase
Virology
Reverse transcriptase
Cell biology
Infectious Diseases
Computational Theory and Mathematics
Viral replication
Anti-Retroviral Agents
lcsh:Biology (General)
Modeling and Simulation
Host-Pathogen Interactions
Mutation
HIV-1
Medicine
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 15537358
- Volume :
- 8
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....9a73981e3fc9959bc1db52907107d07f