THE INTEGRATED DATA ACQUISITION CORE (IDAC)

集成数据采集核心 (IDAC)

• 批准号: 10673894
• 负责人: MICHAEL P HARMS
• 金额: $ 342.07万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10673894
• 关键词: Adopted; Adult; Age; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Behavior; Behavioral; Biological; Biological Markers; Blood Vessels; Brain; Centenarian; Cholesterol; Clinical; Cognition; Cognitive; Collection; Computer software; Coupled; Creatinine; Data; Data Analyses; Data Set; Development; Diet; Elderly; Ensure; Estrogens; Ethnic Origin; Follicle Stimulating Hormone; Galvanic Skin Response; Genetic; Genetic Status; Glucose; Glycosylated hemoglobin A; Goals; Health; Hormonal; Hot flushes; Human; Hypertension; Image; Individual; Informatics; Insulin; Investigation; Life Style; Longevity; Luteinizing Hormone; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Measures; Memory; Modeling; Monitor; Neurocognitive; Neuropsychology; Night Sweating; Obesity; Participant; Perimenopause; Phenotype; Physical activity; Physiological; Proteins; Protocols documentation; Race; Research Personnel; Risk; Sampling; Scanning; Site; Smell Perception; Smoking; Socioeconomic Status; Specimen; Spectrum Analysis; Stress; Testing; Testosterone; Time; Underrepresented Populations; Woman; Work; actigraphy; aged; aging brain; cohort; community engagement; connectome; data acquisition; data integration; dementia risk; early detection biomarkers; experience; human disease; innovation; life history; lifestyle data; morphometry; multiple omics; neurochemistry; neuroimaging; phenotypic data; polygenic risk score; recruit; resilience; resilience factor; sex; sleep pattern; sleep quality; social; statistics; success; vasomotor symptoms; wearable device; young adult

ABSTRACT FOR IDAC The Integrated Data Acquisition Core (IDAC) of the Aging Adult Brain Connectome (AABC) project will acquire high-quality longitudinal data in the lifespan HCP-Aging (HCP-A) cohort, with the goal of studying vulnerability and resilience in aging. The data will support the discovery of inflection points in aging and how those relate to established biomarkers of risk/resilience for Alzheimer’s Disease (AD) or other AD related dementias (ADRD). We will use the HCP acquisition model and build off the multi-site consortium of the HCP-A study, which has acquired neuroimaging and extensive non-imaging phenotyping data from a large cross-sectional and longitudinal sample of typical aging adults. The focus on vulnerability and resilience in the AABC project will potentiate the HCP-A with an unparalleled dataset with up to 10 years of longitudinal data per individual, sampled across the full aging spectrum for 1000 participants. This comprehensive dataset has great potential to uncover early markers and behaviors that are associated with an increased risk for AD/ADRD. To accomplish this goal, the IDAC will extend and oversee multi-site longitudinal collection of neuroimaging data (at 3T), behavioral, neurocognitive, lifestyle and other non-imaging data, and biological samples from previous participants in the HCP-A. The continuity of this dataset with HCP-A will allow for rich longitudinal characterization of major factors relevant to general health and brain aging, including brain morphometry, structural and functional connectomics, cognition, memory, genetic status, systemic health, lifestyle, and hormonal status. Pertinent to the goals of the Projects we will collect new data on stress, social/community engagement, and adversity, with enhanced recruitment of under-represented groups. Objective measures of sleep quality and physical activity using state- of-the-art wearable technology are also added. Finally, high field (7T) magnetic resonance spectroscopy (MRS) acquisitions (on clinical scanners) will be added at two sites, to support innovative Project hypotheses regarding neurochemical changes across the lifespan and how they might correlate with other AD/ADRD risk factors. Our specific aims are to: (1) implement and oversee harmonized 3T MRI data acquisition across the four sites at two longitudinal time points (~2 years apart) in ‘typically-aging’ individuals aged 36-100+ years old, representative of sex, race and ethnicity, and socio-economic status of the US; (2) implement and oversee 7T MRS for neurochemical profiling; and (3) ensure proper collection of neuropsychological, behavioral, physiological and lifestyle data, and biological samples across the four sites. The IDAC will work closely with all other aspects of the AABC – including its four interconnected Projects, the Administrative Core, the Informatics, Data Analysis, and Statistics Core (IDASC), and the Genetics and Multi-omics Specimens Core (GMSC) – to ensure consistent data acquisition across time and sites, thus reducing the impact of protocol drift and site-specific variance. Altogether, the IDAC will provide the foundational data for the Projects’ investigations of vulnerability and resilience in the AABC and how the lifespan trajectory of various measures relates to risk factors for AD/ADRD.

IDAC摘要 老年人大脑连接组（AABC）项目的集成数据采集核心（IDAC）将获得 高质量的纵向数据，在生命周期的HCP老龄化（HCP-A）队列，目的是研究脆弱性 和抗衰老能力。这些数据将支持发现衰老的拐点，以及这些拐点与 阿尔茨海默病（AD）或其他AD相关痴呆（ADRD）的风险/恢复力的已建立的生物标志物。 我们将使用HCP采集模型，并建立HCP-A研究的多中心联盟， 从一个大的横截面获得神经成像和广泛的非成像表型数据， 典型老年人的纵向样本。非洲基础设施项目对脆弱性和复原力的关注将 通过无与伦比的数据集增强HCP-A，每个个体的纵向数据长达10年， 在1000名参与者的整个年龄范围内。这一全面的数据集具有巨大的潜力， 与AD/ADRD风险增加相关的早期标志物和行为。为了实现这一目标， IDAC将扩展和监督神经成像数据（在3 T）、行为 神经认知、生活方式和其他非成像数据，以及来自先前参与者的生物样本。 HCP-A该数据集与HCP-A的连续性将允许对主要因素进行丰富的纵向表征 与一般健康和脑老化相关，包括脑形态测量学，结构和功能连接组学， 认知、记忆、遗传状态、全身健康、生活方式和激素状态。与联合国各项目标有关的 我们将收集有关压力、社会/社区参与和逆境的新数据， 招募代表性不足的群体。睡眠质量和身体活动的客观测量使用状态- 还加入了最先进的可穿戴技术。最后，高场（7 T）磁共振波谱（MRS） 将在两个研究中心增加采集（临床扫描仪），以支持创新的项目假设， 神经化学在整个生命周期中的变化以及它们如何与其他AD/ADRD风险因素相关。我们 具体目标是：（1）在两个地点的四个地点实施和监督协调的3 T MRI数据采集 36-100岁以上“典型衰老”个体的纵向时间点（间隔约2年），代表 性别、种族和民族，以及美国的社会经济地位;（2）实施和监督7 T MRS， 神经化学分析;（3）确保适当收集神经心理，行为，生理和 生活方式数据和四个地点的生物样本。IDAC将与所有其他方面密切合作， AABC -包括四个相互关联的项目，行政核心，信息学，数据分析， 和统计核心（IDASC），以及遗传学和多组学标本核心（GMSC）-以确保一致性 跨时间和地点的数据采集，从而减少协议漂移和特定地点差异的影响。 总之，IDAC将为项目的脆弱性调查提供基础数据， AABC的弹性以及各种措施的寿命轨迹如何与AD/ADRD的风险因素相关。