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Doctoral Thesis
DOI
https://doi.org/10.11606/T.87.2008.tde-12012009-150807
Document
Author
Full name
Marcelo Rossi
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2008
Supervisor
Committee
Lopes, Luiz Fernando (President)
Amaku, Marcos
Durigon, Edison Luiz
Massad, Eduardo
Rizzo, Luiz Vicente
Title in Portuguese
Modelo matemático da resposta imune à infecção pelo vírus HIV-1.
Keywords in Portuguese
Epidemiologia
Equação diferencial com retardamento
Infecção por HIV
Modelagem matemática
Sistema imune
Abstract in Portuguese
Avanços recentes nos conhecimentos sobre a infecção viral e AIDS tem levado pacientes soropositivos a uma melhor qualidade de vida. A determinação de quais populações celulares ou qual mecanismo imunológico seja mais relevante para instalação da epidemia conduz a novos patamares de possibilidades de novas drogas antiretrovirais e tratamento mais eficientes. O uso de modelagem matemática, para a epidemiologia, correlaciona indivíduos (neste caso células) e doença (o vírus) através de equações diferenciais, onde se quer observar as condições necessárias para a instalação ou não da doença. Neste trabalho, observou-se através das simulações, que o componente mais importante, depois do linfócito TCD4+, é a célula macrófago (por ser um reservatório de proliferação viral), que a infecção ocorre várias vezes ao longo do tempo (devido o processo de apresentação de antígenos) e que os linfócitos CTL são ineficientes em erradicar a infecção pelo vírus HIV-1, que pode ser um simples fenômeno de co-adaptação.
Title in English
Immune response mathematical model to HIV virus infection.
Keywords in English
Delay differential equation
Epidemiology
HIV infection
Immune system
Mathematical modeling
Abstract in English
Recent advances in knowledge about the viral infection and AIDS seropositive patients has led to a better life quality. The determination of what people or cellular immune mechanism which is more relevant for the epidemic installation leads to new levels of possibilities to new antiretroviral drugs discovers and more efficient treatment. Mathematical modeling use on epidemiology, correlates individuals (this case cells) and illness (the virus) through differential equations, where want to observe the conditions necessary to the installation or not the disease. In this study, it was observed through simulations, that the most important component, after lymphocyte CD4 T cells, macrophages is the cell (as a reservoir of viral proliferation) that the infection occurs repeatedly over time (because of the antigen presenting process) and CTL lymphocytes are inefficient in eradicating the infection by HIV-1, which may be a simple phenomenon of co-adaptation.
 
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Publishing Date
2009-03-02
 
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