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Modeling HIV Dynamics Under Combination Therapy with Inducers and Antibodies.
Yan, Chao; Wang, Wendi.
Afiliação
  • Yan C; Key Laboratory of Eco-environments in Three Gorges Reservoir Region, School of Mathematics and Statistics, Southwest University, Chongqing, 400715, China.
  • Wang W; Key Laboratory of Eco-environments in Three Gorges Reservoir Region, School of Mathematics and Statistics, Southwest University, Chongqing, 400715, China. wendi@swu.edu.cn.
Bull Math Biol ; 81(7): 2625-2648, 2019 07.
Article em En | MEDLINE | ID: mdl-31161559
A mathematical model is proposed to simulate the "shock-kill" strategy where broadly neutralizing antibodies (bNAbs) are injected with a combination of HIV latency activators to reduce persistent HIV reservoirs. The basic reproductive ratio of virus is computed to extrapolate how the combinational therapy of inducers and antibodies affects the persistence of HIV infection. Numerical simulations demonstrate that a proper combination of inducers and bNAbs can drive the basic reproductive ratio below unity. Interestingly, it is found that a longer dosage interval leads to the higher HIV survival opportunity and a smaller dosage interval is preferred, which is fundamental to design an optimal therapeutic scheme. Further simulations reveal the conditions under which the joint therapy of inducer and antibodies induces a large extension of viral rebound time, which highlights the mechanism of delayed viral rebound from the experiment (Halper-Stromberg et al. in Cell 158:989-999, 2014). Optimal time for cessation of treatment is also analyzed to aid practical applications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Anticorpos Anti-HIV / Infecções por HIV / HIV-1 / Fármacos Anti-HIV / Anticorpos Neutralizantes / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Anticorpos Anti-HIV / Infecções por HIV / HIV-1 / Fármacos Anti-HIV / Anticorpos Neutralizantes / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article