Spatiotemporal Dynamics of Virus Infection Spreading in Tissues.
| Title: | Spatiotemporal Dynamics of Virus Infection Spreading in Tissues. |
|---|---|
| Authors: | Bocharov G; Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russian Federation.; Gamaleya Center of Epidemiology and Microbiology, Moscow, Russian Federation.; RUDN University, Moscow, Russian Federation.; Meyerhans A; Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russian Federation.; Infection Biology Laboratory, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.; ICREA, Pg. Lluís Companys 23, Barcelona, Spain.; Bessonov N; Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, Saint Petersburg, Russian Federation.; Trofimchuk S; Instituto de Matemática y Fisica, Universidad de Talca, Talca, Chile.; Volpert V; Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russian Federation.; Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, Villeurbanne, France.; INRIA Team Dracula, INRIA Lyon La Doua, Villeurbanne, France.; Laboratoire Poncelet, UMI 2615 CNRS, Moscow, Russian Federation. |
| Source: | PloS one [PLoS One] 2016 Dec 20; Vol. 11 (12), pp. e0168576. Date of Electronic Publication: 2016 Dec 20 (Print Publication: 2016). |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: San Francisco, CA : Public Library of Science |
| MeSH Terms: | Models, Immunological*; HIV Infections/*immunology ; HIV-1/*immunology ; Hepacivirus/*immunology ; Hepatitis B/*immunology ; Hepatitis B virus/*immunology ; Hepatitis C/*immunology; Humans |
| Abstract: | Virus spreading in tissues is determined by virus transport, virus multiplication in host cells and the virus-induced immune response. Cytotoxic T cells remove infected cells with a rate determined by the infection level. The intensity of the immune response has a bell-shaped dependence on the concentration of virus, i.e., it increases at low and decays at high infection levels. A combination of these effects and a time delay in the immune response determine the development of virus infection in tissues like spleen or lymph nodes. The mathematical model described in this work consists of reaction-diffusion equations with a delay. It shows that the different regimes of infection spreading like the establishment of a low level infection, a high level infection or a transition between both are determined by the initial virus load and by the intensity of the immune response. The dynamics of the model solutions include simple and composed waves, and periodic and aperiodic oscillations. The results of analytical and numerical studies of the model provide a systematic basis for a quantitative understanding and interpretation of the determinants of the infection process in target organs and tissues from the image-derived data as well as of the spatiotemporal mechanisms of viral disease pathogenesis, and have direct implications for a biopsy-based medical testing of the chronic infection processes caused by viruses, e.g. HIV, HCV and HBV. |
| Competing Interests: | The authors have declared that no competing interests exist. |
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| Entry Date(s): | Date Created: 20161221 Date Completed: 20170630 Latest Revision: 20240327 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC5173377 |
| DOI: | 10.1371/journal.pone.0168576 |
| PMID: | 27997613 |
| Database: | MEDLINE |
Journal Article