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Project 4: Precision Methods for Assessing Brain Health and Age-related Cognitive Impairment

Project 4: Precision Methods for Assessing Brain Health and Age-related Cognitive Impairment
项目 4:评估大脑健康和年龄相关认知障碍的精确方法
批准号:
10689327
负责人:
NICHOLAS Joseph SCHORK
金额:
$38.8万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-30 至 2026-08-31
关键词:
AddressAge-associated memory impairmentAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAssessment toolBehavior TherapyBiological AssayBiological MarkersBiometryCellular PhoneClassificationClinicalClinical TrialsClinical Trials DesignCognitiveCognitive agingCohort StudiesCollectionDataData AnalysesData Science CoreData SetDecision TreesDevelopmentDrug TargetingEarly DiagnosisEnvironmental Risk FactorExhibitsFutureGene Expression ProfileGeneticGenotype-Tissue Expression ProjectGoalsHealthHeterogeneityHumanImpaired cognitionIndividualInformaticsInternetInterventionIntervention StudiesIntervention TrialLightLongevityMaintenanceMeasuresMediationMendelian randomizationMeta-AnalysisMetadataMethodologyMethodsModelingMolecularMolecular ProfilingMonitorNatureNetwork InfrastructureNomogramsNutritionalPathway interactionsPatientsPerformancePersonal SatisfactionPhysical FunctionPhysiologicalPhysiologyPreventiveProtocols documentationPsychometricsPublic DomainsPublic HealthResearchResearch DesignResearch PersonnelRiskRisk AssessmentSamplingServicesSortingSourceSubgroupSystems BiologyTechniquesTechnologyTestingTheoretical modelTherapeuticTissuesTreatment EfficacyWorkage relatedbrain healthcare providerscausal modelcognitive changecognitive functioncognitive testingcohortcombatdata integrationdesigndrug developmentfunctional declinegenome wide association studyhandheld mobile devicehealthspanhuman old age (65+)improvedindividual variationinsightlifestyle factorsmembermodel buildingmultimodalityneuroimagingnovelpersonalized interventionpharmacologicpredictive modelingpreservationpreventprognostic modelprototyperisk prediction modelsmartphone applicationsocial factorstherapeutic targettherapy developmenttrial designweb-based intervention

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中文摘要
翻译
摘要/摘要:项目4 脑健康与年龄相关认知障碍和AD的精确评估方法 应对与年龄相关的认知障碍带来的日益严重的公共卫生和社会负担 (ARCI)和认知能力下降并非易事。需要的是可靠的风险评估、早期发现、 最终,在老年人中保持认知健康的干预策略。中国的发展和 此类战略的实施因其数量、复杂性和异质性而变得复杂 导致ARCI的因素。为了理解这种复杂性,有必要收集和整合 不同的信息来源。这些数据将来自纵向表征的大样本 通过使用旨在询问诸如分子、遗传、 生理、生物测量、临床、心理测量、社会、生活方式和环境因素。此外, 整合从这些化验中获得的数据的适当方法,并绘制全面的 令人信服的推论至关重要。拟在精密老龄化网络中开展的研究 (PAN)将涉及面对面收集1,620名老年人和超过50,000名老年人的综合数据 纵向追踪的人是基于一组经过验证的在线测试的认知特征。 PAN项目4《评估大脑健康和年龄相关认知障碍的精确方法》是 致力于集成这些数据以及来自公共领域的补充数据,使用一套 旨在识别导致认知功能维持或易损性的因素的技术 面对衰老、阿尔茨海默病(AD)和AD相关痴呆(ADRD)。项目4将与 项目2探索认知下降的预测模型,以及项目3确定预防和 治疗靶点。数据将作为分子分析(MP)核心认知的一部分生成 评估和神经成像(CAN)核心以及非侵入性技术(NIT)核心-所有这些都在 将在拟议研究项目1-3中进行的大规模人类队列研究的服务。 项目4将与数据科学(DS)核心成员密切合作,以确保收集到的所有数据和 跨所有项目和核心进行分析,无缝整合到一个管道中,从而提供可靠的模型 大楼。项目4可交付成果,旨在为用于抗击ARCI和 与年龄相关的认知衰退,包括预测模型,将个人分类为更容易听话的亚组 可能的干预策略;提示活动或日常生活的长期预后模型 保持认知健康的策略;对表现出认知变化的个体的监控策略 可以在移动设备上实现;干预效果的标记以及潜在的药物靶点 和治疗分子;以及由PAN研究结果实现的新的干预试验设计。项目4将 使PAN目标能够制定个性化的干预措施,以维持健康、福祉和以下功能 优化认知健康范围,预防或减轻ARCI、AD或ADRD的负担。
英文摘要
SUMMARY/ABSTRACT: Project 4 Precision Methods for Assessing Brain Health and Age-related Cognitive Impairment and AD Combatting the growing public health and societal burdens associated with age-related cognitive impairment (ARCI) and cognitive decline will not be easy. What is needed are reliable risk assessment, early detection, and ultimately, intervention strategies for maintaining cognitive health at older ages. The development and implementation of such strategies are complicated by the number, complexity, and heterogeneous nature of the factors that contribute to ARCI. To understand this complexity, it will be necessary to collect and integrate different sources of information. These data will come from large samples of longitudinally characterized individuals through the use of assays designed to interrogate phenomena such as molecular, genetic, physiological, biometric, clinical, psychometric, social, lifestyle, and environmental factors. In addition, appropriate methods for integrating the data obtained from these assays and drawing comprehensive yet compelling inferences are essential. The research to be pursued in the proposed Precision Aging Network (PAN) will involve collecting comprehensive data on 1,620 older individuals face-to-face and over 50,000 individuals tracked longitudinally who are cognitively characterized based on a set of validated online tests. PAN Project 4 “Precision methods for assessing brain health and age-related cognitive impairment” is devoted to integrating these data, along with complementary data from the public domain, using a suite of techniques designed to identify factors contributing to the maintenance or vulnerability of cognitive function in the face of aging, Alzheimer’s disease (AD), and AD-related dementias (ADRD). Project 4 will work with Project 2 to explore predictive models of cognitive decline, as well as Project 3 to identify preventive and therapeutic targets. Data are to be generated as part of the Molecular Profiling (MP) Core, Cognitive Assessment and Neuroimaging (CAN) Core, and the Non-Invasive Technology (NIT) Core – all in the service of the large-scale human cohort studies to be pursued in Projects 1 - 3 of the proposed research. Project 4 will work closely with members of the Data Science (DS) Core to ensure that all data collected and analyzed across all Projects and Cores funnel seamlessly into a pipeline that will allow for reliable model building. Project 4 deliverables, which are meant to seed potential products to be used to combat ARCI and age-related cognitive decline, include prediction models to classify individuals into subgroups more amenable to possible interventional strategies; long-term prognostic models that suggest activities or daily living strategies to maintain cognitive health; monitoring strategies for individuals exhibiting cognitive changes that could be implemented on a mobile device; markers for intervention efficacy as well as potential drug targets and therapeutic molecules; and novel intervention trial designs enabled by PAN study findings. Project 4 will enable the PAN goals to develop individualized interventions to maintain health, well-being, and function to optimize cognitive healthspan and prevent or reduce the burden of ARCI, AD, or ADRD.
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Project 4: Precision Methods for Assessing Brain Health and Age-related Cognitive Impairment
  • 批准号:
    10270198
  • 项目类别:
  • 资助金额:
    $39.26万
  • 财政年份:
    2021
  • 负责人:
    NICHOLAS Joseph SCHORK
  • 依托单位:
Project 4: Precision Methods for Assessing Brain Health and Age-related Cognitive Impairment
  • 批准号:
    10491883
  • 项目类别:
  • 资助金额:
    $38.8万
  • 财政年份:
    2021
  • 负责人:
    NICHOLAS Joseph SCHORK
  • 依托单位:
INTEGRATED BIOSTATISTICAL AND BIONFORMATIC ANALYSIS CORE (IBBAC)
Functional genomic tools for in vivo study of P. vivax
  • 批准号:
    8089263
  • 项目类别:
  • 资助金额:
    $28.2万
  • 财政年份:
    2010
  • 负责人:
    NICHOLAS Joseph SCHORK
  • 依托单位:
海外基金