On cell resistance and immune response time lag in a model for the HIV infection
Autor: | Silvina Ponce Dawson, Fernando Peruani, Rita Maria Zorzenon dos Santos, Guillermo Solovey |
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Přispěvatelé: | Departamento de Física, Facultad de Ciencias Exactas y Naturales, U.B.A. Ciudad Universitaria, Pabellón I, (1428) Buenos Aires, Argentina, Laboratório de Fisica Teórica e Computacional, Universidade Federal de Pernambuco, 50670-901, Recife, PE, Brazil |
Jazyk: | angličtina |
Rok vydání: | 2004 |
Předmět: |
Statistics and Probability
PATTERN FORMATION Ciencias Físicas [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph] Human immunodeficiency virus (HIV) Time lag Biology medicine.disease_cause 01 natural sciences Cell resistance 010305 fluids & plasmas 03 medical and health sciences Immune system 0103 physical sciences medicine Short latency 010306 general physics ComputingMilieux_MISCELLANEOUS 030304 developmental biology 0303 health sciences Condensed Matter Physics 3. Good health Astronomía DYNAMICAL SYSTEMS HIV INFECTION Latency stage Immunology CELLULAR AUTOMATA CIENCIAS NATURALES Y EXACTAS |
Zdroj: | Physica A: Statistical Mechanics and its Applications Physica A: Statistical Mechanics and its Applications, Elsevier, 2004, 343, pp.543-556. ⟨10.1016/j.physa.2004.06.068⟩ |
ISSN: | 0378-4371 |
DOI: | 10.1016/j.physa.2004.06.068⟩ |
Popis: | Recently, a cellular automata model has been introduced (Phys. Rev. Lett. 87 (2001) 168102) to describe the spread of the HIV infection among target cells in lymphoid tissues. The model reproduces qualitatively the entire course of the infection displaying, in particular, the two time scales that characterize its dynamics. In this work, we investigate the robustness of the model against changes in three of its parameters. Two of them are related to the resistance of the cells to get infected. The other one describes the time interval necessary to mount specific immune responses. We have observed that an increase of the cell resistance, at any stage of the infection, leads to a reduction of the latency period, i.e., of the time interval between the primary infection and the onset of AIDS. However, during the early stages of the infection, when the cell resistance increase is combined with an increase in the initial concentration of infected cells, the original behavior is recovered. Therefore we find a long and a short latency regime (eight and one year long, respectively) depending on the value of the cell resistance. We have obtained, on the other hand, that changes on the parameter that describes the immune system time lag affects the time interval during which the primary infection occurs. Using different extended versions of the model, we also discuss how the two-time scale dynamics is affected when we include inhomogeneities on the cells properties, as for instance, on the cell resistance or on the time interval to mount specific immune responses. © 2004 Elsevier B.V. All rights reserved. Fil: Solovey, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Peruani San Román, Fernando Miguel. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Ponce Dawson, Silvina Martha. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Dos Santos, Rita Maria Zorzenon. Universidade Federal de Pernambuco; Brasil |
Databáze: | OpenAIRE |
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