Assessing Tools That Predict and Stage Mild Cognitive Impairment
The goal of this observational study is to learn how well a multimodal Progression and Risk (PR) model can predict and stage early mild cognitive impairment (MCI) due to Alzheimer's disease in cognitively normal or very mildly impaired ApoE4-positive adults aged 55 and older. The main questions it aims to answer are: Can a prespecified proteogenomic PR model accurately predict conversion from cognitively normal (CN) or very mildly impaired status to pTau217-positive MCI Stage I within 24 months in ApoE4-positive adults? Does adding digital monitoring features (e.g., sleep, activity, speech), EMR-lifestyle risk scores, and plasma biomarkers to a polygenic risk score (PRS) meaningfully improve risk stratification and time-to-conversion prediction compared with simpler models (e.g., PRS alone or standard clinical risk factors)? If there is a comparison group: Researchers will compare performance of the full multimodal PR model (integrating PRS, plasma proteomics and other omics, digital monitoring, and EMR-lifestyle data) with simpler or reduced models (for example, PRS-only, biomarker-only, or models without continuous digital monitoring) to see if the full model provides higher discrimination (AUC/ROC), better calibration, and improved time-to-conversion prediction for CN to pTau217-positive MCI transitions. Participants will: Provide prior genomic data (ApoE genotype and whole-genome sequencing or high-density genotyping array data) for calculation of an ancestry- and sex-normalized Alzheimer's disease PRS and assignment to PRS-based risk strata. Attend an in-person baseline visit and follow-up visits at months 6, 12, 18, and 24 (±2 months) for clinical evaluation, neurocognitive testing (including CDR and digital cognitive batteries), and venous or capillary blood collection for plasma pTau217 and other AD biomarkers, proteomic and methylome panels, and routine safety labs when indicated. Use digital devices (e.g., Oura Ring and smartphone-based tools) for continuous or frequent remote monitoring of sleep, activity, heart rate metrics, mobility/location, and speech-linked digital cognitive tasks, with adherence checks at study visits. Undergo optional or sub-cohort procedures as clinically indicated or as resources allow, such as EEG, retinal hyperspectral imaging, MRI, or amyloid PET, and optionally allow clinically indicated lumbar puncture CSF samples and external clinical data to be shared with the study for exploratory biomarker analyses.
• Age
• Age 55 years or older at enrollment.
• APOE Genotype
• Documented carrier of at least one APOE ε4 allele, based on prior testing (e.g., clinical APOE testing, prior genetic panel, research cohort genotyping, or direct-to-consumer testing).
• Existing Genomic Data for PRS
• Whole-genome sequencing (WGS) data already completed, with willingness to provide existing WGS data files (e.g., VCF, FASTQ, or equivalent) to the study team for Alzheimer's disease polygenic risk score (PRS) calculation; or
• If WGS is not available, prior high-density or targeted genotyping array data covering Alzheimer's disease risk loci, with willingness to provide these data for PRS calculation (feasibility of array-based PRS will be evaluated case-by-case).
• Note: The study does not perform APOE genotyping or WGS as part of the research; these must be completed before enrollment.
• Cognitive Status at Baseline
• Cognitively normal or very mildly impaired at baseline, defined by:
• Digital cognitive assessment and/or Punto Test consistent with a Global Clinical Dementia Rating (CDR) of 0 or 0.5.
• No clinical diagnosis of dementia.
• For cognitively normal (CN) and subjective cognitive decline (SCD) participants, staging by the Progression and Risk (P\&R) model (combining PRS, biomarker, and cognitive data) will be applied for risk stratification.
• Absence of Baseline AD-MCI by Biomarkers
• Does not currently qualify for Alzheimer's disease-related MCI (AD-MCI), operationalized as no evidence of MCI with plasma or CSF pTau217 level above a validated cutoff for AD-MCI pathology.
• Capacity and Participation Ability
• Able to provide informed consent (with capacity assessments and, where applicable, involvement of a legally authorized representative per institutional policy and IRB approval).
• Able and willing to comply with study procedures, including clinic visits, cognitive testing, and biospecimen collection.
• Willingness to Use Digital Monitoring Tools
• Willing to wear and/or carry digital devices for continuous or frequent monitoring (e.g., smartphone app, wearable sensors such as Oura Ring, sleep device), and to participate in app-based cognitive and speech assessments.
• Data-Sharing Authorizations
• Willingness to sign data release authorizations allowing the study to obtain existing genomic data (WGS or array) and relevant electronic medical record (EMR) data needed for risk modeling and outcome adjudication.