Search Existing Data Requests

The Knight ADRC has supported many investigators at Washington University and at other institutions over the years. We wish to avoid the situation where two investigators study the same research question to avoid duplication of effort and potential conflict. To determine if your topic has already been studied with our resources, please search our database. If you find that your topic or a related topic has been submitted, you may wish to contact the investigator to inquire about their findings to determine how you might proceed. You may wish to collaborate or modify your request to avoid overlap. The results below reflect requests made since online requests have been accepted. As such, not all fields will have data as certain information, such as aims, were not collected until recently. If an entry has been assigned an ID number (e.g. T1004), the full request has been submitted and is either approved, disapproved or in process. If an entry has no ID number, then it represents a submission that has not yet been reviewed. Search terms are applied across an entire requests application including variables not displayed below. A more specific, detailed search may yield better results depending upon your needs.


Search Terms:


Investigator: Chihiro Sato

Project Title: Age- and Alzheimer’s disease-dependent mechanism in tau kinetics

Date: January 7, 2026 at 3:06 pm

Request ID: D2602

Aim 1: To identify pathway(s) that shift tau kinetics during natural aging and AD

Aim 2:

Aim 3:

Aim 4:


Investigator: Lina Zhu

Project Title: Multi-modal Biomarkers and Predictive Modeling of Cognitive Resilience in Alzheimer’s Disease

Date: December 31, 2025 at 8:13 am

Request ID:

Aim 1: To identify multi-modal biomarkers associated with cognitive resilience.

Aim 2: To explore genetic contributors via GWAS and integrate them with omics data.

Aim 3: To develop and validate a machine learning model for predicting resilience and cognitive decline.

Aim 4:


Investigator: WenDiao

Project Title: Disease staging of Alzheimer’s disease using a CSF-based biomarker model

Date: December 27, 2025 at 12:18 am

Request ID:

Aim 1: Advancements in imaging technologies and fluid biomarkers now enable precise in vivo tracking of AD pathological changes, moving beyond sole reliance on clinical symptoms. While numerous studies have explored AD heterogeneity at the macroimaging level, pathological accumulation may take years or eve

Aim 2:

Aim 3:

Aim 4:


Investigator: Jason Hassenstab

Project Title: Psychometric Analyses of ARC Smartphone-based Cognitive Assessments

Date: December 23, 2025 at 3:20 pm

Request ID: D2555

Aim 1: Determine if there variation in ability levels visible using a modern psychometrics score that is obscured with the standard total score.

Aim 2: Conduct factor analyses of traditional cognitive testing data together with ARC test data.

Aim 3:

Aim 4:


Investigator: Michael Scholl

Project Title: Progression rates to tau-PET positivity and cognitive impairment risk in preclinical Alzheimer’s disease

Date: December 19, 2025 at 9:10 am

Request ID: D2556

Aim 1: To determine progression to tau-PET positivity in amyloid-β (Aβ)–positive, cognitively unimpaired (CU) individuals based on the FDA/EMA-approved visual interpretation method of [18F]flortaucipir PET.

Aim 2: To assess subsequent clinical progression in Aβ+CU individuals with initially negative tau-PET scans.

Aim 3:

Aim 4:


Investigator: Jeanne Latourelle

Project Title: Mechanistic Discovery and Validation of Causal Drivers in Alzheimer’s Disease Using Gemini Digital Twins and Knight-ADRC Multi-Omic Data

Date: December 9, 2025 at 3:18 pm

Request ID: D2552

Aim 1: Construction of Gemini Digital Twins in a hypothesis-free approach to characterize molecular and cellular mechanisms underlying Alzheimer’s disease progression and identify causal drivers of disease related phenotypes within and beyond the ATN framework.

Aim 2: Evaluate and validate causal drivers of disease related phenotypes that were previously identified from existing Gemini Digital Twin models to assess robustness and generalizability across cohorts.

Aim 3:

Aim 4:


Investigator: Cecilia Lee

Project Title: Ophthalmic Data Analysis for Better Understanding of Alzheimer’s and Related Dementias

Date: December 3, 2025 at 2:49 pm

Request ID: D2551

Aim 1: Outline ophthalmic health profiles (e.g., diagnoses of AMD, glaucoma, diabetic retinopathy, cataract) among ADRC participants by linking participant identifiers with their longitudinal EHR data.

Aim 2: Examine associations between ophthalmic diagnoses and established ADRC biomarkers, including structural MRI, PET (amyloid/tau), CSF and plasma markers (e.g. Aβ, p-tau 217, GFAP, NfL), as well as cognitive outcomes

Aim 3: Assess whether ophthalmic health independently predicts biomarker-positive Alzheimer’s disease, cognitive decline, or conversion to dementia after adjusting for demographics, vascular risk factors, and APOE status.

Aim 4: Establish a foundation for future use of retinal scans with ADRC as a non-invasive biomarker to monitor brain health


Investigator: Tammie Benzinger

Project Title: Impact of Freesurfer (7.3) Editing on Brain Volume and PET-SUVR Measurements

Date: December 1, 2025 at 10:35 am

Request ID: D2550

Aim 1: To identify differences in regional brain volumes, mean cortical PET SUVr, and tau PET burden between scans that have undergone manual FreeSurfer editing and those processed without edits

Aim 2:

Aim 3:

Aim 4:


Investigator: Gareth Williams

Project Title: Analysis of CSF/blood plasma proteomics variation across those over 60 years old in conjunction with amyloid PET imaging

Date: November 28, 2025 at 7:32 am

Request ID: D2554

Aim 1: To compare independent data sets of CSF/blood plasma data related to Alzheimer’s pathology. Specifically, the PMID: 30775436 study that established a predictive framework for PET Abeta positivity.

Aim 2: Build case for effective cohort size in a future study of BBB integrity and Dementia risk.

Aim 3:

Aim 4:


Investigator: Prof. Nicolas Langer

Project Title: Modulators of the Amyloid–Tau Relationship: A Multi-Cohort Analysis of Age, Sex, and APOE4 Status

Date: November 24, 2025 at 1:58 am

Request ID: D2553

Aim 1: Characterizing how age, APOE4 genotype, and sex interact to shape the relationship between amyloid and tau pathologies

Aim 2:

Aim 3:

Aim 4: