On cell resistance and immune response time lag in a model for the HIV infection

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 ch...

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Autores principales: Solovey, G., Peruani, F., Dawson, S.P., Dos Santos, R.M.Z.
Formato: JOUR
Materias:
Cellular automata
Dynamical systems
HIV infection
Pattern formation
Antigen-antibody reactions
Automata theory
Blood
Cells
Parameter estimation
Pattern recognition
Proteins
Tissue
Cell resistance
Immunology
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03784371_v343_n1-4_p543_Solovey
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_03784371_v343_n1-4_p543_Solovey
record_format dspace
spelling todo:paper_03784371_v343_n1-4_p543_Solovey2023-10-03T15:32:43Z On cell resistance and immune response time lag in a model for the HIV infection Solovey, G. Peruani, F. Dawson, S.P. Dos Santos, R.M.Z. Cellular automata Dynamical systems HIV infection Pattern formation Antigen-antibody reactions Automata theory Blood Cells Parameter estimation Pattern recognition Proteins Tissue Cell resistance Cellular automata Dynamical systems HIV infection Pattern formation Immunology 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, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Peruani, F. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Dawson, S.P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03784371_v343_n1-4_p543_Solovey
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Cellular automata
Dynamical systems
HIV infection
Pattern formation
Antigen-antibody reactions
Automata theory
Blood
Cells
Parameter estimation
Pattern recognition
Proteins
Tissue
Cell resistance
Cellular automata
Dynamical systems
HIV infection
Pattern formation
Immunology
spellingShingle Cellular automata
Dynamical systems
HIV infection
Pattern formation
Antigen-antibody reactions
Automata theory
Blood
Cells
Parameter estimation
Pattern recognition
Proteins
Tissue
Cell resistance
Cellular automata
Dynamical systems
HIV infection
Pattern formation
Immunology
Solovey, G.
Peruani, F.
Dawson, S.P.
Dos Santos, R.M.Z.
On cell resistance and immune response time lag in a model for the HIV infection
topic_facet Cellular automata
Dynamical systems
HIV infection
Pattern formation
Antigen-antibody reactions
Automata theory
Blood
Cells
Parameter estimation
Pattern recognition
Proteins
Tissue
Cell resistance
Cellular automata
Dynamical systems
HIV infection
Pattern formation
Immunology
description 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.
format JOUR
author Solovey, G.
Peruani, F.
Dawson, S.P.
Dos Santos, R.M.Z.
author_facet Solovey, G.
Peruani, F.
Dawson, S.P.
Dos Santos, R.M.Z.
author_sort Solovey, G.
title On cell resistance and immune response time lag in a model for the HIV infection
title_short On cell resistance and immune response time lag in a model for the HIV infection
title_full On cell resistance and immune response time lag in a model for the HIV infection
title_fullStr On cell resistance and immune response time lag in a model for the HIV infection
title_full_unstemmed On cell resistance and immune response time lag in a model for the HIV infection
title_sort on cell resistance and immune response time lag in a model for the hiv infection
url http://hdl.handle.net/20.500.12110/paper_03784371_v343_n1-4_p543_Solovey
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AT peruanif oncellresistanceandimmuneresponsetimelaginamodelforthehivinfection
AT dawsonsp oncellresistanceandimmuneresponsetimelaginamodelforthehivinfection
AT dossantosrmz oncellresistanceandimmuneresponsetimelaginamodelforthehivinfection
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