Multisystem risk profile of older adults to predict cognitive function and impairment

老年人的多系统风险概况可预测认知功能和损伤

• 批准号: 9902305
• 负责人: Suzi Hong
• 金额: $ 15.75万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9902305
• 关键词: Address; Age; Age-Years; Aging; Agreement; Alzheimer disease prevention; Alzheimer' s Disease; Alzheimer' s disease care; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Attention; Behavior Therapy; Biological Markers; CCL7 gene; Cardiovascular system; Clinic; Clinical; Clinical Trials; Cognitive; Complex; Data; Data Science; Data Scientist; Diagnosis; Disease; Disease Outcome; Early Diagnosis; Education; Elderly; Functional disorder; Funding; Goals; Impaired cognition; Individual; Individual Differences; Inflammation; Interdisciplinary Study; Investigation; Knowledge; Measurement; Measures; Memory; Metabolic; Metabolic Diseases; Modeling; Neuropsychological Tests; Neuropsychology; Outcome; Participant; Pathogenesis; Pathway interactions; Physical Function; Play; Population; Prevalence; Prevention strategy; Research; Research Personnel; Risk; Risk Factors; Risk Marker; Role; Scientist; Socioeconomic Status; Testing; Time; Translational Research; Wood material; biomarker identification; care costs; cognitive function; cognitive testing; comorbidity; data infrastructure; experience; follow-up; hemodynamics; high risk; improved; innovation; interest; mild cognitive impairment; multidisciplinary; neuroimaging; neuroinflammation; neuropsychiatry; patient oriented research; prevent; prospective; psychosocial; recruit; resilience; response; sex; sociodemographic variables; therapy development

PROJECT SUMMARY/ABSTRACT Pathogenesis and pathophysiology of AD and ADRD are multifaceted and complex. Varying individual factors further complicate the onset, progression and outcomes of the disease. For example, in spite of great interests and progress made in uncovering the association between cognitive decline and cardiovascular (CV) conditions, it largely remains unclear what other factors that are comorbid with CV conditions such as (neuro)inflammation, metabolic disorders and declined physical function, play a role and to what extent. With these often concurring conditions, it is challenging to disentangle independent or relative effects of those risk factors further confounded by individual differences. This RFA states one of the important topics as “… cardiovascular, metabolic and other risk factors; neuroinflammation; neuroimaging and other biomarkers…”, signifying the need for more comprehensive investigations on risk factor and marker identification to move the field forward and by engaging “new” workforce. Furthermore, it is paramount to pay more attention to identifying composite as well as independent risk for a cognitive decline by simultaneously investigating multi- system risk factors (“MRFs”) especially, among the high-risk individuals such as those with a cognitive function decline or mild cognitive impairment (MCI) or even those who are currently asymptomatic with identifiable risk factors in order to mobilize efforts in prevention of AD/ADRD. Thus, we propose to scrutinize multisystem risk factors categorized into following five domains in predicting cognitive function and impairment status: neuroinflammatory, metabolic, hemodynamic, psychosocial and physical functioning. Leveraging an ongoing R01 study of a behavioral intervention among elderly individuals (65 – 89 years of age) and recruiting additional participants (to include more individuals with a formal diagnosis of MCI using neuropsychological test) from Co-I, Dr. Delano-Woods’ clinic (UCSD Memory, Aging and Resilience Center, MARC), we will be able to utilize the existing and newly acquired data of proposed risk factors in five domains as well as cognitive outcomes. The cognitive function and impairment will be assessed and defined by using Montreal Cognitive Assessment (MoCA) and a neuropsychological (NP) battery for which the levels of ‘agreement’ between the two measures will be examined in the context of predictability of MRFs. The cross-sectional and prospective predictability of MRFs will be investigated and the sex and sex by age interaction effects will be tested.

项目摘要/摘要 AD和ADRD的发病机理和病理生理学是多方面且复杂的。不同的个人 因素进一步使疾病的发作，进展和结果复杂化。例如，尽管很棒 探索认知能力下降与心血管（CV）之间的关联方面的兴趣和进步 条件，在很大程度上尚不清楚其他哪些与简历条件合并的因素，例如 （神经）炎症，代谢性疾病和身体功能下降，发挥作用以及在多大程度上。和 这些经常同意的条件，要挑战这些风险的独立或相对影响 个体差异进一步混淆了因素。该RFA指出了重要的主题之一，即“… 心血管，代谢和其他危险因素；神经炎症；神经影像和其他生物标志物……”， 表示需要对风险因素和标记识别进行更全面的调查以移动 领域前进并通过吸引“新”劳动力。此外，更重要的是要更多地关注 通过简单地研究多种 系统危险因素（“ MRF”），特别是在具有认知功能的高风险个体中 衰落或轻度认知障碍（MCI），甚至是目前不对称风险的人 为了动员预防AD/ADRD的努力。这，我们建议审查多系统风险 在预测认知功能和损害状态的以下五个领域分类的因素： 神经炎症，代谢，血液动力学，心理和身体功能。利用一个 正在进行的R01研究老年人（65至89岁）和招募的行为干预 其他参与者（包括更多使用神经心理学的正式诊断MCI的人 测试）来自Co-I，Delano-Woods博士的诊所（UCSD记忆，衰老和弹性中心，MARC），我们将成为 可以利用五个领域中提出的风险因素的现有和新获取的数据以及认知 结果。通过使用蒙特利尔认知能力评估和定义认知功能和障碍 评估（MOCA）和神经心理学（NP）电池，在该电池中， 将在MRF的可预测性中检查两项措施。横截面和前瞻性 将研究MRF的可预测性，并将测试按年龄相互作用效应的性别和性别。