Trial-Ready Cohort for Preclinical/Prodromal Alzheimer's Disease
临床前/前驱阿尔茨海默病的试验就绪队列
基本信息
- 批准号:9885998
- 负责人:
- 金额:$ 492.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-05-01 至 2023-04-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAlgorithmsAlzheimer disease screeningAlzheimer&aposs DiseaseAlzheimer&aposs disease pathologyAlzheimer’s disease biomarkerAmericanAmyloidAmyloid beta-42Amyloid beta-ProteinBiological AssayBiological MarkersBrainClinicalClinical ResearchClinical TrialsClinical assessmentsCognitiveCollaborationsCollectionCommunitiesConsensusConsentCountryDataData CollectionDementiaDevelopmentDiseaseEarly intervention trialsEligibility DeterminationEnrollmentFreezingFutureGeneticGoalsHome environmentImmunoassayImmunoprecipitationImpaired cognitionIndividualInsuranceInternetInterventionLifeMass Spectrum AnalysisMeasurementMeasuresMedicalMethodsNerve DegenerationNeurobiologyObservational StudyOnline SystemsOutcome MeasureParticipantPathologyPathway interactionsPerformancePersonsPharmacy facilityPlasmaPositron-Emission TomographyPrevention trialProcessProcess AssessmentProgram DevelopmentRegistriesReportingRiskSamplingScientistSecondary PreventionSensitivity and SpecificitySeriesShipsSiteSpecimenSpinal PunctureStatistical AlgorithmStreamSystemTechnologyTestingTimeTimeLineTravelValidationWorkapolipoprotein E-4basecandidate selectionclinical biomarkersclinical research sitecognitive functioncognitive performancecognitive testingcohortcostdata registrydemographicsdrug developmentexperiencefollow-upfunctional outcomeshealth care settingshealth datahigh riskimprovedinnovationinterestmild cognitive impairmentneuroimagingnon-dementednovelpre-clinicalprodromal Alzheimer&aposs diseaserecruittau Proteinstool
项目摘要
Project Summary
Based on growing recognition that the long pre-dementia stages of Alzheimer's disease (AD) represent the
optimal time for interventions aimed at modifying the neurobiology of the disease, most recent drug development
programs enroll participants at the preclinical/asymptomatic and prodromal/mild cognitive impairment stages.
However, the timeframe, complexity and expense of the recruitment process and site activation for these
secondary prevention trials are extremely challenging, and indeed site start-up and trial enrollment, in general,
represent the greatest bottleneck for drug development for AD. Thus, there is growing consensus in our field that
we must fundamentally overhaul the current clinical trial recruitment and assessment process for these early
intervention trials. The overarching goal of this proposal is to accelerate current and future secondary prevention
trial enrollment through an innovative, highly efficient approach to identify, evaluate, and enroll appropriate
preclinical and prodromal trial candidates, supported by a new site network with enhanced capacities for more
efficient and effective conduct of AD clinical trials. The specific goal of the current project is to build a large trial-
ready cohort (TRC) for preclinical/prodromal AD (PAD) trials (TRC-PAD). TRC-PAD (n=2000; 1000
preclinical/1000 prodromal AD) will facilitate enrollment into ongoing PAD trials using the ACTC framework. This
application describes a process of connecting existing “feeder” registries and studies to a web based Registry to
capture demographic, genetic and longitudinal clinical and cognitive information on older, non-demented
individuals interested in trials. The Registry data generates risk scores for AD pathology (initially elevated
amyloid in brain, but with methods adaptable to tau pathology and other biomarkers), that allows efficient
selection of candidates for in-person biomarker (initially amyloid PET scans) and clinical assessment. The
results of these assessments, in turn, allow an adaptive statistical algorithm to improve the selection process
moving forward. Individuals with PET scans showing amyloid accumulation in brain (or alternative biomarker
confirmation) are invited to join with semi-annual in-person follow-up within the network of pre-qualified clinical
sites, from which they can be invited to enroll in early stage trials. Overall, the process will dramatically shorten
the timeline for preclinical/prodromal trials, and will address a series of scientific hypotheses to guide further
development in the field.
项目概要
人们越来越认识到阿尔茨海默病 (AD) 的长期痴呆前期代表了
旨在改变疾病神经生物学、最新药物开发的干预措施的最佳时间
计划招收临床前/无症状和前驱/轻度认知障碍阶段的参与者。
然而,这些项目的招聘流程和网站激活的时间安排、复杂性和费用
二级预防试验极具挑战性,实际上,总体而言,现场启动和试验注册,
是 AD 药物开发的最大瓶颈,因此,我们领域越来越达成共识:
我们必须从根本上彻底改革当前的临床试验招募和评估流程
该提案的总体目标是加速当前和未来的二级预防。
通过创新、高效的方法来识别、评估和招募合适的试验注册
临床前和前驱试验候选者,得到新站点网络的支持,该网络具有增强的能力,可以提供更多
高效、有效地开展 AD 临床试验 当前项目的具体目标是建立一个大型试验-
临床前/前驱 AD (PAD) 试验就绪队列 (TRC) (TRC-PAD)(n=2000;1000)。
临床前/1000 前驱期 AD)将有助于使用 ACTC 框架参加正在进行的 PAD 试验。
应用程序描述了将现有“馈送”注册和研究连接到基于网络的注册的过程
捕获老年人、非痴呆患者的人口统计、遗传、纵向临床和认知信息
对试验感兴趣的个人。注册数据生成 AD 病理学的风险评分(最初升高)。
大脑中的淀粉样蛋白,但采用适合 tau 病理学和其他生物标志物的方法),这使得有效
选择现场生物标志物候选者(最初是淀粉样蛋白 PET 扫描)和临床评估。
这些评估的结果反过来又允许自适应统计算法改进选择过程
PET 扫描显示大脑中淀粉样蛋白积累(或替代生物标志物)的个体。
确认)被邀请参加资格预审临床网络内每半年一次的现场随访
总体而言,该过程将大大缩短。
临床前/前驱试验的时间表,并将提出一系列科学假设以进一步指导
领域的发展。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Paul S. Aisen其他文献
Paul S. Aisen的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Paul S. Aisen', 18)}}的其他基金
Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) Open-Label Extension Study
无症状阿尔茨海默病 (A4) 开放标签扩展研究中的抗淀粉样蛋白治疗
- 批准号:
10554282 - 财政年份:2019
- 资助金额:
$ 492.96万 - 项目类别:
Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) Open-Label Extension Study
无症状阿尔茨海默病 (A4) 开放标签扩展研究中的抗淀粉样蛋白治疗
- 批准号:
10358480 - 财政年份:2019
- 资助金额:
$ 492.96万 - 项目类别:
Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) Open-Label Extension Study
无症状阿尔茨海默病 (A4) 开放标签扩展研究中的抗淀粉样蛋白治疗
- 批准号:
9930020 - 财政年份:2019
- 资助金额:
$ 492.96万 - 项目类别:
Combination anti-amyloid therapy for preclinical Alzheimer's disease
临床前阿尔茨海默病的抗淀粉样蛋白联合治疗
- 批准号:
9786200 - 财政年份:2018
- 资助金额:
$ 492.96万 - 项目类别:
Combination anti-amyloid therapy for preclinical Alzheimer's disease
临床前阿尔茨海默病的抗淀粉样蛋白联合治疗
- 批准号:
10452475 - 财政年份:2018
- 资助金额:
$ 492.96万 - 项目类别:
Combination anti-amyloid therapy for preclinical Alzheimer's disease
临床前阿尔茨海默病的抗淀粉样蛋白联合治疗
- 批准号:
10666411 - 财政年份:2018
- 资助金额:
$ 492.96万 - 项目类别:
Alzheimer's Clinical Trials Consortium (ACTC)
阿尔茨海默病临床试验联盟 (ACTC)
- 批准号:
10435786 - 财政年份:2017
- 资助金额:
$ 492.96万 - 项目类别:
Alzheimers Clinical Trials Consortium (ACTC)
阿尔茨海默病临床试验联盟 (ACTC)
- 批准号:
9753042 - 财政年份:2017
- 资助金额:
$ 492.96万 - 项目类别:
Alzheimer's Clinical Trials Consortium (ACTC)
阿尔茨海默病临床试验联盟 (ACTC)
- 批准号:
10719531 - 财政年份:2017
- 资助金额:
$ 492.96万 - 项目类别:
相似国自然基金
地表与大气层顶短波辐射多分量一体化遥感反演算法研究
- 批准号:42371342
- 批准年份:2023
- 资助金额:52 万元
- 项目类别:面上项目
高速铁路柔性列车运行图集成优化模型及对偶分解算法
- 批准号:72361020
- 批准年份:2023
- 资助金额:27 万元
- 项目类别:地区科学基金项目
随机密度泛函理论的算法设计和分析
- 批准号:12371431
- 批准年份:2023
- 资助金额:43.5 万元
- 项目类别:面上项目
基于全息交通数据的高速公路大型货车运行风险识别算法及主动干预方法研究
- 批准号:52372329
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
强磁场作用下两相铁磁流体动力学相场模型的高精度数值算法研究
- 批准号:12361074
- 批准年份:2023
- 资助金额:27 万元
- 项目类别:地区科学基金项目
相似海外基金
Information-Theoretic Surprise-Driven Approach to Enhance Decision Making in Healthcare
信息论惊喜驱动方法增强医疗保健决策
- 批准号:
10575550 - 财政年份:2023
- 资助金额:
$ 492.96万 - 项目类别:
Building predictive algorithms to identify resilience and resistance to Alzheimer's disease
构建预测算法来识别对阿尔茨海默病的恢复力和抵抗力
- 批准号:
10659007 - 财政年份:2023
- 资助金额:
$ 492.96万 - 项目类别:
3D force sensing insoles for wearable, AI empowered, high-fidelity gait monitoring
3D 力传感鞋垫,用于可穿戴、人工智能支持的高保真步态监控
- 批准号:
10688715 - 财政年份:2023
- 资助金额:
$ 492.96万 - 项目类别:
Digital Twin Neighborhoods for Research on Place-Based Health Inequalities in Mid-Life
用于研究中年地区健康不平等的数字孪生社区
- 批准号:
10583781 - 财政年份:2023
- 资助金额:
$ 492.96万 - 项目类别:
Advanced thin-slab TOF-PET detector module for next generation of brain PET
用于下一代大脑 PET 的先进薄板 TOF-PET 探测器模块
- 批准号:
10719570 - 财政年份:2023
- 资助金额:
$ 492.96万 - 项目类别: