Working Models of HIV Persistence & Evolution

描述（由申请人提供）：艾滋病毒感染涉及许多不同类型的细胞（感染细胞、允许病毒复制的未感染细胞、艾滋病毒特异性免疫细胞等），这些细胞相互作用，其数量通常取决于时间。由于各部分之间的相互作用，系统自动达到与HIV感染无症状阶段一致的近似稳定状态。复制的病毒种群保持相当稳定，但在时间上（以及在采样序列之间）表现出相当大的遗传变异。我们的长期目标是使用数学建模来帮助理解这样的系统如何工作。我们的方法是(i)根据所有预测与代表性个体中已知的HIV发病机制特征一致的标准选择HIV感染的数学模型，（ii）为新实验制定预测以测试模型。这种“多重匹配”策略已经成功地用于物理科学中处理未知结构的复杂系统，但它只在HIV研究中得到实施。我们将应用这一策略来开发病毒-免疫细胞相互作用的模型。并解释体内稳态机制，了解耐药进化和抗原逃逸的主要因素。在我们研究的这个阶段，我们将把重点放在我们的模型在合作小组中的后续测试和更新模型的新测试设计上。

DESCRIPTION (provided by applicant): HIV infection involves many different cell types (infected cells, uninfected cells permissive for virus replication, HIV specific immune cells, and others) which interact with each other and whose numbers, in general, depend on time. Because of interaction among its parts, the system automatically arrives at an approximate steady state coincident with the asymptomatic phase of an HIV infection. The replicating virus population remains quite constant but exhibits considerable genetic variation in time (and among sampled sequences). Our long-term goal is to use mathematical modeling to aid in understanding how such a system can work. Our approach is to (i) select mathematical models of HIV infection based on the criterion that all their predictions agree with the known features of HIV pathogenesis in representative individuals and (ii) formulate predictions for new experiments to test the models. This strategy of "multiple match" has been successfully used in the physical sciences for dealing with complex systems of unknown structure, but it is only being implemented in HIV research. We will apply this strategy to develop models of virus-immune cell interaction in .vivo and explain the mechanism of steady state, and to understand the principal factors of evolution of drug resistance and antigenic escape. At this stage of our research, we will put emphasis on follow-up tests of our models in collaborating groups and design of new tests of updated models.