Development of computational models of bone formation and resorption to predict changes in bone in preclinical intervention studies.

开发骨形成和吸收的计算模型，以预测临床前干预研究中骨的变化。

• 批准号: NC/K000780/1
• 负责人: Ilaria Bellantuono
• 金额: $ 46.49万
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NC%2FK000780%2F1
• 关键词: Development; computational; models; bone; formation

We want to develop computer programs to test new therapies for diseases of bone to reduce animal testing and accelerate research progress. Musculoskeletal disease including arthritis, osteoarthritis and osteoporosis are the most prevalent cause of work-related disease affecting the UK and account for one third of GP consultations. Patients affected by these conditions have often reduced mobility, leading to isolation and poor quality of life. Despite excellent progress in the care of these conditions there are still high numbers of people, who do not respond to these treatments very well. New cures are therefore required for these patients.Any new drug needs to be tested on animals before it can be used in people. This is not only to see if the drugs are safe but also to understand whether they are efficacious. When doing this, groups of mice are needed to test each individual dose or time of administration and the mice have to be killed before the effect of the drug on bone can be determined. This can take many experiments, and is very laborious, expensive and time consuming. More importantly, it may require the use of many animals as several conditions need to be tested, such as how much drug needs to be administered to see a benefit, for how long and how often. Another important problem is that sometimes it is difficult to know how well the mouse will predict what will happen in patients. This is because we have never been able to compare them properly. To do that, we need to take pieces of bone for analysis. We can take bone samples in mice but this is less straightforward in patients because even taking extremely small samples can be an unpleasant procedure and if done for research purposes can only be practically done in very small numbers of volunteers. This project aims to overcome these problems by creating computer programs able to predict how a drug may work, how much is needed and for how long. Similar programs are being created to predict responses in patients, so comparisons between human and mice can be made. In this way when a new drug will have to be tested, we can use the computer program first and then determine the best dose and time of administration to be tested only in a small group of animals to verify the accuracy of the computer prediction. To create the computer program we will collect data first by taking a drug which is known to build bone well and is already used in patients affected by osteoporosis; giving it to mice at different doses and for different times and then analysing the effects on bone mass, and strength in two ways. One in the traditional way of looking at several different time points, and one uses a new piece of equipment, called an in vivo microcomputed tomography (microCT) scanner, which is capable of looking at the bones in the same mouse over a period of time, without the need to kill it. This equipment is very similar to the DEXA scan used in patients. We will compare the new method with the traditional one to ensure the new method performs in the same way or better than the traditional one. The data will be used to generate an equation which will model how bone is formed so that when a new drug needs to be tested we will be able to use this equation to predict how good this will be. By adopting both the new equipment - in vivo microCT and this equation we will reduce the number of mice used, and the data derived will be more precise because they have been measured in the same mouse. Moreover, we can build similar programs in humans and compare the two understanding better when mice will predict patients' response.

我们希望开发计算机程序来测试骨骼疾病的新疗法，以减少动物试验并加速研究进展。包括关节炎、骨关节炎和骨质疏松症在内的肌肉骨骼疾病是影响英国的工作相关疾病的最常见原因，占全科医生咨询的三分之一。受这些疾病影响的患者往往行动不便，导致孤立和生活质量差。尽管在治疗这些疾病方面取得了很大进展，但仍然有大量的人对这些治疗反应不佳。因此，需要新的治疗方法来治疗这些病人。任何新药在用于人类之前都需要在动物身上进行测试。这不仅要看药物是否安全，还要了解它们是否有效。当这样做时，需要小鼠组来测试每个单独的剂量或给药时间，并且在可以确定药物对骨的影响之前必须杀死小鼠。这可能需要进行许多实验，并且非常费力、昂贵和耗时。更重要的是，它可能需要使用许多动物，因为需要测试几种条件，例如需要施用多少药物才能看到益处，多长时间和多久一次。另一个重要的问题是，有时很难知道老鼠对患者的预测能力。这是因为我们从来没有能够正确地比较它们。为此，我们需要取一些骨头进行分析。我们可以在小鼠身上采集骨骼样本，但在患者身上就不那么简单了，因为即使是采集极小的样本也是一个令人不快的过程，如果是为了研究目的，实际上只能在极少数志愿者身上进行。该项目旨在通过创建计算机程序来克服这些问题，这些程序能够预测药物如何起作用，需要多少以及持续多久。类似的程序正在被创建来预测患者的反应，因此可以在人类和小鼠之间进行比较。这样，当一种新药必须进行测试时，我们可以先使用计算机程序，然后确定最佳剂量和给药时间，只在一小群动物中进行测试，以验证计算机预测的准确性。为了创建计算机程序，我们将首先通过服用一种已知可以良好构建骨骼并且已经用于骨质疏松症患者的药物来收集数据;以不同剂量和不同时间将其给予小鼠，然后分析对骨量的影响，并以两种方式进行强度。一种是用传统的方法观察几个不同的时间点，另一种是使用一种新的设备，称为体内微型计算机断层扫描（microCT）扫描仪，它能够在一段时间内观察同一只老鼠的骨骼，而不需要杀死它。这种设备与患者使用的DEXA扫描非常相似。我们将比较新方法与传统方法，以确保新方法的性能与传统方法相同或更好。这些数据将用于生成一个方程，该方程将模拟骨骼如何形成，以便当需要测试新药时，我们将能够使用该方程来预测这将有多好。通过采用新的设备-体内microCT和这个方程，我们将减少使用的小鼠数量，并且所获得的数据将更加精确，因为它们是在同一只小鼠中测量的。此外，我们可以在人类身上建立类似的程序，并比较两者，更好地了解小鼠何时会预测患者的反应。