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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=708994
• 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: 1) Develop a fault detection and isolation scheme for the insulin-glucose system using advanced statistical methods. 2) Evaluate the pharmacological impact of different treatment approaches. 3) Develop multi-laser-based micro-sensor based on absorption/reflectance spectroscopy 4) Development of evanescent field sensors for glucose measurements. The ultimate goal of my research is to benefit our society by advancing engineering research into bioprocesses particularly in managing diabetes mellitus, which is one of the most prevalent diseases affecting Canadians today.

与持续性高血糖症（血糖> 11 mmol/L）造成的大多数与糖尿病有关的长期健康问题，例如肾病，视网膜病，神经病，心血管疾病和脑血管事件。加拿大统计数据显示，2005年，有4.3％的成年人被诊断出患有糖尿病。在2008/09年度增加到6.8％。据公共卫生机构称，加拿大每年估计有60,000例被诊断出的糖尿病病例。频繁的葡萄糖监测和紧密的葡萄糖控制已显示可改善患者的健康，更好的生活质量和巨大的医疗保健节省。我的研究已经朝着一个共同的目标迈出了两个方向。我的研究的第一个方向是专门针对的，用于开发适合用于临床目的的糖尿病管理的生理模型。第二个方向与血糖的测量有关。任何频繁的葡萄糖监测都需要使用可靠的非侵入性葡萄糖传感器。已经使用了不同的方法来开发这种传感器，该传感器被认为是糖尿病监测和控制中的“圣杯”。最常见的方法包括基于光的和基于酶的体液（例如汗液和血液）的测量。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型糖尿病的多器官室糖尿病模型，并开创了第一个设备，以演示概念证明，以测量溶液和血清中准确的葡萄糖水平。我的研究的长期目标是1）通过采用适用于监测和控制的临床相关的生理模型和故障检测功能，以及2）提高光学葡萄糖传感器的准确性，以改善血糖的管理。在接下来的五年中，已经确定了四个特定的项目，以指导该研究计划达到其长期目标： 1）使用先进的统计方法为胰岛素 - 葡萄糖系统开发故障检测和隔离方案。 2）评估不同治疗方法的药理影响。 3）基于吸收/反射率光谱法开发基于多激光的微传感器 4）开发用于葡萄糖测量的逃生场传感器。 我的研究的最终目的是通过推进生物过程的工程研究，尤其是在管理糖尿病中，这是影响当今加拿大人的最普遍的疾病之一。