EAGER: Optical and System Engineering Interrogation of Vascular Amyloid in Alzheimer's Disease

EAGER：阿尔茨海默病中血管淀粉样蛋白的光学和系统工程研究

• 批准号: 1830145
• 负责人: Ramin Pashaie
• 金额: $ 29.97万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-01 至 2021-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1830145&HistoricalAwards=false
• 关键词: EAGER; Optical; System; Engineering; Interrogation

Alzheimer's disease is a devastating condition which has no cure and only some treatments for symptoms are available that do not stop the progression of the disease. This disease is the 6th leading cause of death in the United States and the only one among the top 10 that cannot be prevented, cured or even slowed. The objective of this project is the development of the essential technologies to study the effect of Alzheimer's on the vascular network of the brain.A main cause of Alzheimer's disease is the accumulation of a protein, called amyloid-beta in the brain tissue. Deposits of this substance form skeletal structures around the blood vessels which prevent the vessels from dilating and delivering enough oxygen and energy to active cells. This condition damages the nerve cells and contributes to the initiation or progression of the disease. The team will design and develop imaging technologies which allow the study of this specific effect in unprecedented details. They will use the collected data to develop computer algorithms to predict the state and progression of the disease based on the acquired images.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

阿尔茨海默氏病是一种毁灭性的疾病，无法治愈，只有一些治疗症状的治疗方法不会阻止疾病的进展。该疾病是美国的第六个主要死亡原因，也是唯一无法预防，治愈甚至放慢速度的前十名中的疾病。该项目的目的是研究基本技术的发展，以研究阿尔茨海默氏症对大脑血管网络的影响。阿尔茨海默氏病的主要原因是蛋白质的积累，称为淀粉样蛋白在脑组织中。该物质的沉积物在血管周围形成骨骼结构，以防止血管扩张并向活性细胞传递足够的氧气和能量。这种疾病会损害神经细胞，并有助于疾病的开始或进展。该团队将设计和开发成像技术，从而可以在前所未有的细节中研究这种特定效果。他们将使用收集的数据来开发计算机算法，以根据获得的图像来预测疾病的状态和进展。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估的评估来支持的。