Assessment, monitoring, and stratification of disease progression for Type II Diabetes Mellitus

II 型糖尿病疾病进展的评估、监测和分层

• 批准号: RGPIN-2016-04120
• 负责人: Kwok, Ezra
• 金额: $ 2.4万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637951
• 关键词: Assessment; monitoring; stratification; disease; progression

Most of the long-term health problems associated with diabetes, such as nephropathy, retinopathy, neuropathy, cardiovascular diseases and cerebral vascular events, result from the sustained hyperglycemia (blood glucose > 11 mmol/L). Statistics Canada data shows that in 2005, 4.3% of adults was diagnosed with diabetes mellitus. This increased to 6.8% in 2008/09. According to the Public Health Agency, there are an estimated 60,000 new cases of diagnosed diabetes every year in Canada. Frequent glucose monitoring and tight glucose control have been shown to improved patient health, better quality of life, and tremendous healthcare savings. My research has taken two directions towards a common goal. The first direction of my research is specifically targeted towards the development of a physiological model suitable for simulation, performance assessment, and evaluation of diabetic managements for clinical purposes. The second direction is related to the measurement of blood glucose. Any frequent glucose monitoring requires the use of a reliable non-invasive glucose sensor. Different approaches have been used to develop such a sensor which is considered the "holy grail" in diabetic monitoring and control. Most common approaches include light-based and enzyme-based measurements of body fluids such as sweat and blood. My on-going work has been focusing on the light-based approach. We also developed the first multi-organ compartment diabetic model for type II diabetes mellitus and pioneered the first device to demonstrate the proof of concept to measure accurately glucose level in solution and serum. The long-term objectives of my research are 1) to improve the management of blood glucose by employing a clinically-relevant physiological model and fault detection features suitable for monitoring and control, and 2) to improve the accuracy of optical glucose sensors. For the next five years, four specific projects have been identified to guide this research program into reaching its long-term objectives:

大多数与糖尿病相关的长期健康问题，如肾病、视网膜病变、神经病变、心血管疾病和脑血管事件，都是由持续的高血糖（血糖1mmol /L）引起的。加拿大统计局的数据显示，2005年，4.3%的成年人被诊断患有糖尿病。这一比例在2008/09年度上升至6.8%。根据公共卫生署的数据，加拿大每年估计有6万例新诊断的糖尿病病例。频繁的血糖监测和严格的血糖控制已被证明可以改善患者的健康状况，提高生活质量，并节省大量的医疗费用。我的研究朝着一个共同的目标采取了两个方向。我研究的第一个方向是专门针对开发一种适合临床目的的糖尿病管理的模拟，绩效评估和评估的生理模型。第二个方向与血糖测量有关。任何频繁的血糖监测都需要使用可靠的无创血糖传感器。这种传感器被认为是糖尿病监测和控制的“圣杯”，已经采用了不同的方法来开发这种传感器。最常见的方法包括基于光和基于酶的体液测量，如汗液和血液。我正在进行的工作一直集中在基于光的方法上。我们还开发了第一个用于II型糖尿病的多器官间室糖尿病模型，并率先开发了第一个用于证明精确测量溶液和血清中葡萄糖水平的概念验证的设备。我研究的长期目标是：1)通过采用与临床相关的生理模型和适合监测和控制的故障检测特性来改善血糖管理；2)提高光学葡萄糖传感器的精度。在未来五年内，已经确定了四个具体项目来指导该研究计划实现其长期目标：