Trial-Ready Cohort for Preclinical/Prodromal Alzheimer's Disease

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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.