Exceptional Longevity Data Management and Coordinating Center

卓越长寿数据管理和协调中心

• 批准号: 10515786
• 负责人: ANNA K GREENWOOD
• 金额: $ 220.78万
• 依托单位: SAGE BIONETWORKS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10515786
• 关键词: Address; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Benchmarking; Biological; Catalogs; Cognitive; Collection; Communities; Complex; Data; Data Commons; Data Coordinating Center; Dementia; Development; Disease; Elderly; Environment; Evaluation; Evaluation Research; FAIR principles; Funding; Genetic; Goals; Health; Human; Individual; Infrastructure; Institution; Interdisciplinary Study; Knowledge; Knowledge Portal; Lead; Life; Longevity; Medicine; Meta-Analysis; Metabolism; Methods; Mission; Molecular; Molecular Profiling; National Institute on Aging; Outcomes Research; Physiological; Quality of life; Research; Research Design; Research Personnel; Research Project Grants; Resource Sharing; Resources; Risk Factors; Science; Structure; Synapses; Systems Biology; Training; Work; age related; base; burden of illness; data ecosystem; data harmonization; data integration; data management; data resource; data sharing; data standards; design; experience; genomic locus; healthy aging; human old age (65+); improved; interoperability; multiple omics; open data; programs; protective factors; resilience; tool; working group

Advanced age is the primary risk factor for developing dementia due to Alzheimer’s Disease (AD) and Alzheimer’s Disease Related Disorders (ADRD). Investigating the factors that contribute to healthy aging and exceptional long life represents an opportunity to reduce the burden of diseases of aging including Alzheimer’s and related dementias. To this end, the National Institute on Aging (NIA) has established four longevity translational projects working to identify genetic and other molecular signatures of long life and resilience to age-related diseases in humans and non-human species. Employing team science approaches to assemble the complementary approaches and expertise of the dozens of researchers across this network presents a powerful opportunity to extend and integrate this work by aggregating resources and knowledge across domains, including Alzheimer’s and related dementias. The overarching goal of the proposed Exceptional Longevity Data Management and Coordination Core (EL DMCC) is to aid the EL research community in these efforts by facilitating research on protective factors that contribute to exceptional health and resilience to age-related diseases like AD and ADRD. The DMCC will address this goal by (1) Establishing a dynamic catalog of EL data and resources, (2) Initiating cross-team analytical projects and data challenges to leverage expertise and data from across the EL projects and in conjunction with AD resilience projects, (3) Developing an EL Knowledge Portal to act as a central hub for EL research resources, and (4) Piloting a limited data commons to enable facile computation on EL and AD data within the cloud environment for EL investigators.

高龄是阿尔茨海默病 (AD) 和阿尔茨海默病相关疾病 (ADRD) 导致痴呆的主要危险因素。研究有助于健康衰老和超长寿命的因素为减轻老年疾病（包括阿尔茨海默病和相关痴呆症）的负担提供了机会。为此，国家老龄化研究所（NIA）建立了四个长寿转化项目，致力于识别人类和非人类物种长寿和抵御与年龄相关疾病的遗传和其他分子特征。采用团队科学方法来汇集该网络中数十名研究人员的互补方法和专业知识，为通过聚合跨领域（包括阿尔茨海默病和相关痴呆症）的资源和知识来扩展和整合这项工作提供了强大的机会。拟议的超长寿命数据管理和协调核心 (EL DMCC) 的总体目标是通过促进对有助于超常健康和抵抗 AD 和 ADRD 等年龄相关疾病的保护因素的研究，帮助 EL 研究界开展这些工作。 DMCC 将通过以下方式实现这一目标：(1) 建立 EL 数据和资源的动态目录，(2) 启动跨团队分析项目和数据挑战，以利用来自 EL 项目的专业知识和数据并与 AD 弹性项目相结合，(3) 开发 EL 知识门户以充当 EL 研究资源的中心枢纽，以及 (4) 试点有限的数据共享，以便能够在 EL 云环境中轻松计算 EL 和 AD 数据 调查人员。