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
批准号:
10491883
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:
AddressAgeAge-associated memory impairmentAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAssessment toolBehavior TherapyBiological AssayBiological MarkersBiometryCellular PhoneClinicalClinical TrialsClinical Trials DesignCognitiveCognitive agingCohort StudiesCollectionDataData AnalysesData Science CoreData SetDecision TreesDevelopmentDrug TargetingEarly DiagnosisEnsureEnvironmental Risk FactorExhibitsFutureGene Expression ProfileGeneticGenotype-Tissue Expression ProjectGoalsHealthHeterogeneityHumanImpaired cognitionIndividualInternetInterventionIntervention StudiesIntervention TrialLightLongevityMaintenanceMeasuresMediationMendelian randomizationMeta-AnalysisMetadataMethodologyMethodsModelingMolecularMolecular GeneticsMolecular ProfilingMonitorNatureNetwork InfrastructureNomogramsNutritionalPathway interactionsPatientsPerformancePersonal SatisfactionPharmacologyPhysical FunctionPhysiologicalPhysiologyPlant RootsPreventiveProtocols documentationPsychometricsPublic DomainsPublic HealthResearchResearch DesignResearch PersonnelRiskRisk AssessmentSamplingSeedsServicesSourceSubgroupSystems BiologyTechniquesTechnologyTestingTheoretical modelTissuesTreatment EfficacyWorkage relatedbasebrain healthcare providerscausal modelcognitive changecognitive functioncognitive testingcohortcombatdesigndrug developmentfunctional declinegenome wide association studyhandheld mobile devicehealthspanindividual variationinsightlifestyle factorsmembermodel buildingmultimodalityneuroimagingnovelpersonalized interventionpredictive modelingpreservationpreventprognostic modelprototyperisk prediction modelsmartphone Applicationsocial factorstargeted treatmenttherapeutic targettherapy developmenttrial designweb-based intervention
中文摘要
总结/摘要:项目4
评估脑健康的精确方法以及与脑功能相关的认知障碍和AD
应对与年龄相关的认知障碍相关的日益沉重的公共卫生和社会负担
(ARCI)和认知能力下降并不容易。需要的是可靠的风险评估、早期发现,
最终,在老年人中维持认知健康的干预策略。发展和
这些战略的实施因数量、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,
通过使用设计用于询问诸如分子,遗传,
生理、生物特征、临床、心理测量、社会、生活方式和环境因素。此外,本发明还提供了一种方法,
用于整合从这些测定中获得的数据并绘制全面但
令人信服的推论是必不可少的。拟议的精密老化网络将进行的研究
(PAN)将涉及收集1,620名老年人面对面的全面数据,
基于一组经验证的在线测试对其进行认知表征的纵向跟踪的个体。
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
致力于整合这些数据,沿着来自公共领域的补充数据,使用一套
旨在识别有助于维持或脆弱性认知功能的因素的技术,
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旨在探索认知能力下降的预测模型,项目3旨在确定预防性和
治疗目标数据将作为分子特征分析(MP)核心的一部分生成,认知
评估和神经成像(CAN)核心,以及非侵入性技术(NIT)核心-全部在
为拟议研究项目1 - 3的大型人类队列研究提供服务。
项目4将与数据科学(DS)核心成员密切合作,以确保收集的所有数据和
在所有项目和核心中进行分析,无缝地汇集到管道中,
建设项目4交付成果,旨在为用于打击ARCI的潜在产品提供种子,
与年龄相关的认知能力下降,包括预测模型,将个体分为更容易接受的亚组
可能的干预策略;建议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测策略,
可以在移动终端上实现;干预有效性的标记以及潜在的药物靶点
和治疗分子;以及PAN研究结果实现的新型干预试验设计。项目4将
使PAN目标能够制定个性化干预措施,以维持健康,福祉和功能,
优化认知健康,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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负责人:NICHOLAS Joseph SCHORK
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依托单位:
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批准号:10689327
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批准号:7956206
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依托单位:
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批准号:7844962
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项目类别:
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资助金额:$24.11万
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批准号:7956199
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资助金额:$0.09万
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财政年份:2009
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负责人:NICHOLAS Joseph SCHORK
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依托单位:
MULTIVARIATE DISTANCE MATRIX REGRESSION OF BRAIN-IMAGING PHENOTYPES AND GENOTYP
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批准号:7956323
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项目类别:
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资助金额:$0.09万
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财政年份:2009
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负责人:NICHOLAS Joseph SCHORK
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依托单位:
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资助金额:$19.45万
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财政年份:2008
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负责人:NICHOLAS Joseph SCHORK
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依托单位:
BREAST CANCER NETWORK CENTRALITY
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批准号:7723338
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项目类别:
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资助金额:$0.05万
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财政年份:2008
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负责人:NICHOLAS Joseph SCHORK
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依托单位:
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批准号:7723345
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依托单位:
INTEGRATED BIOSTATISTICAL AND BIONFORMATIC ANALYSIS CORE (IBBAC)
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批准号:7292332
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项目类别:
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资助金额:$20.81万
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财政年份:2007
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负责人:NICHOLAS Joseph SCHORK
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依托单位:
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财政年份:2005
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依托单位:
Disease context and longevity genes
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批准号:10210338
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项目类别:
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资助金额:$53.34万
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财政年份:2004
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依托单位:
Disease context and longevity genes
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批准号:10448346
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项目类别:
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依托单位:
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批准号:6537792
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项目类别:
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资助金额:$21.83万
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财政年份:2000
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依托单位:
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资助金额:$21.11万
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依托单位:
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批准号:6641280
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财政年份:2000
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负责人:NICHOLAS Joseph SCHORK
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依托单位:
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