Biological Predictors Of Brain Aging Trajectories Diversity Supplement: African American Outreach And The Intersection Between Social Determinants Of Health And Biomarkers Of Degenerative Disease

项目概要/摘要（来自母基金） 随着年龄的增长，认知能力的变化程度和变化速度存在相当大的个体差异。 我们越了解影响衰老是否以及如何影响大脑结构的生物学机制 和功能，我们就越有能力以针对个人的方式进行有效干预。总体 这项更新申请的目标是更好地了解炎症，血管，神经退行性疾病， 生活方式/行为对大脑老化轨迹中这种临床重要多样性的贡献。我们建议 继续跟踪我们的250名功能完整的老年正常人的深度表型队列， 在另外两个时间点上进行认知、神经成像和生物测定表征。我们的首要目标是定义 生物学和生活方式变量影响年龄相关性下降的独立和交互途径 我们的第二个目标是确定创新的血浆标记物的预测价值， 与阿尔茨海默氏症和神经退化有关的蛋白质。我们的第三个目标将包括创新， 客观、实时地测量睡眠和身体活动。实现这些目标将具有高度的 对外地产生重大影响。验证病理学的血浆生物标志物并阐明复杂的相互作用 影响大脑老化轨迹的因素将导致更好的预测和预防不良大脑 老龄化，并告知针对个人的干预措施。

PROJECT SUMMARY /ABSTRACT (from the Parent Grant) There is considerable individual variability in how much and how quickly cognitive abilities change with age. The better we understand the biological mechanisms that influences if and how aging affects brain structure and function, the more able we will be to intervene effectively in a person-specific manner. The overarching goal of this renewal application is to better understand the inflammatory, vascular, neurodegenerative, and lifestyle/behavioral contributions to this clinically important diversity in brain aging trajectories. We propose to continue following our deeply phenotyped cohort of 250 functionally intact older normals with our detailed cognitive, neuroimaging, and biometric characterizing over two additional time points. Our first aim is to define the separate and interactive pathways by which biologic and lifestyle variables influence age-related decline in brain structure and function Our second aim will determine of predictive value of innovative plasma markers of proteins associated with Alzheimer’s and neurodegeneration. Our third aim will incorporate innovative, objective, real-time measures of sleep and physical activity. Accomplishing these aims will have a highly significant impact on the field. Validating plasma biomarkers of pathology and clarifying the complex interplay of factors that influence brain aging trajectories will lead to better prediction and prevention of adverse brain aging and inform person-specific interventions.