ArticleJournal of mathematical biology2016
Dynamics of HIV infection in lymphoid tissue network.
Article in Journal of mathematical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 33 citations in OpenAlex.
- Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025Article
- Global dynamics of a time-delayed nonlocal reaction-diffusion model of within-host viral infections.Journal of mathematical biology · 2024Article
- A reaction-diffusion within-host HIV model with cell-to-cell transmission.Journal of mathematical biology · 2018Article
- Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics.PLoS biology · 2016Article
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Authors and funding
3 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Human immunodeficiency virus (HIV) is a fast replicating ribonucleic acid virus, which can easily mutate in order to escape the effects of drug administration. Hence, understanding the basic mechanisms underlying HIV persistence in the body is essential in the development of new therapies that could eradicate HIV infection. Lymphoid tissues are the primary sites of HIV infection. Despite the recent progress in real-time monitoring technology, HIV infection dynamics in a whole body is unknown. Mathematical modeling and simulations provide speculations on global behavior of HIV infection in the lymphatic system. We propose a new mathematical model that describes the spread of HIV infection throughout the lymphoid tissue network. In order to represent the volume difference between lymphoid tissues, we propose the proportionality of several kinetic parameters to the lymphoid tissues' volume distribution. Under this assumption, we perform extensive numerical computations in order to simulate the spread of HIV infection in the lymphoid tissue network. Numerical computations simulate single drug treatments of an HIV infection. One of the important biological speculations derived from this study is a drug saturation effect generated by lymphoid network connection. This implies that a portion of reservoir lymphoid tissues to which drug is not sufficiently delivered would inhibit HIV eradication despite of extensive drug injection.
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