Mathematical and Statistical Modelling of CCR5 Inhibitor Effects in Adults and Children with HIV-1 Infection

CCR5 抑制剂对 HIV-1 感染成人和儿童影响的数学和统计模型

• 批准号: G1002305/1
• 负责人: Joseph Frank Standing
• 金额: $ 55.47万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2011
• 资助国家: 英国
• 起止时间: 2011 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G1002305%2F1
• 关键词: Mathematical; Statistical; Modelling; CCR5; Inhibitor

This study will use mathematical models to find out how medicines for HIV act in children and adults. Measurements of blood concentrations of white cells, viral load and drugs levels in patients receiving different medicine combinations will be used. Mathematical models are descriptions of these measurements using a system of equations. The main outcome is to find a model that describes the measurements in a way that relates to biological processes. Investigating which parts of the model differ between patient groups and different treatment regimes will answer questions such as: What happens to white cell counts if different drug combinations or doses are used? Can we predict paediatric drug effects from adult data and expected biological differences? What happens to viral load and white cell count if doses are missed? By creating a model of the system including drug levels, viral load and white cell counts, a better understanding of how these relate to each other is gained. This understanding will make the development of new medicines more efficient, and help optimise the use of current medicines. What makes this study special is the mathematical modelling techniques proposed have not been widely applied to HIV infection.

这项研究将使用数学模型来找出治疗艾滋病毒的药物在儿童和成人中的作用。将使用对接受不同药物组合的患者的白细胞血液浓度、病毒载量和药物水平的测量。数学模型是使用一组方程来描述这些测量结果的。主要成果是找到一个模型，以一种与生物过程相关的方式描述测量结果。研究模型的哪些部分在患者组和不同的治疗方案之间存在差异，将回答以下问题：如果使用不同的药物组合或剂量，白细胞计数会发生什么？我们能从成人数据和预期的生物差异中预测儿科药物的效果吗？如果剂量不足，病毒载量和白细胞计数会发生什么？通过建立包括药物水平、病毒载量和白细胞计数在内的系统模型，可以更好地了解这些因素之间的关系。这一理解将使新药的开发更有效率，并有助于优化现有药物的使用。这项研究的特别之处在于，所提出的数学建模技术尚未广泛应用于艾滋病毒感染。