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.


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Investigator: Maurice Smith

Project Title: Optimally efficient prediction of future dementia onset from linear and nonlinear cognitive composite scores

Date: April 4, 2025 at 6:24 am

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Aim 1: Determine the ability to predict future dementia onset from optimized linear and nonlinear combinations cognitive tests

Aim 2: Determine the administration-time efficiency for predicting future dementia onset from optimized short-duration linear and nonlinear combinations cognitive tests

Aim 3: Compare cognitive-item-based optimal predictions and biomarker-based predictions (based on amyloid & tau (PET and/or CSF)) of future dementia onset

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Investigator: Mary Sano

Project Title: CSF YWHAG:NPTX2 versus tau tangle biomarkers in AD dementia

Date: April 2, 2025 at 5:04 pm

Request ID: D2515

Aim 1: Aim 1: Use linear regression to associate CSF YWHAG:NPTX2 with Clinical Dementia Rating (CDR) cognitive impairment scores, independent of tau PET.

Aim 2: Aim 2: Examine associations between individual protein levels YWHAG and NPTX2, with CDR, adjusted for PC1 of the CSF SomaScan proteome and tau PET.

Aim 3: Aim 3: Examine associations between YWHAG and NPTX2 with tau PET, adjusted for PC1 of the CSF SomaScan proteome.

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Investigator: XINYI LIU

Project Title: Analysis of the unfolded protein pathway

Date: April 2, 2025 at 8:35 am

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Aim 1: meta analysis to find pattern

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Investigator: Patricio Chrem Mendez

Project Title: Centiloid Internal Validation

Date: March 28, 2025 at 8:26 am

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Aim 1: We kindly request the Centiloid results exclusively from our DIAN-Obs Sites 956/966 for internal validation purposes (to make comparisons).

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Investigator: Cyril Pottier

Project Title: Leveraging a large GRN family to identify resilience factors in Frontotemporal Lobar Degeneration: a genetic and proteomic approach

Date: March 13, 2025 at 8:15 am

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Aim 1: To identify SNVs that modify disease presentation in GRN mutation carriers

Aim 2: To identify SVs that alter disease presentation in GRN mutation carriers

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Investigator: Hye Joo Son

Project Title: Study title : Longitudinal correlation between ocular and brain Aβ pathology using deep learning-enhanced ultra-high-resolution ocular amyloid PET across the cognitive aging spectrum

Date: March 1, 2025 at 4:32 am

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Aim 1: Using deep learning–based super-resolution techniques, we will enhance PET imaging resolution to assess whether ocular tracer uptake, as measured on routine brain amyloid PET/CT scans, correlates with brain amyloid burden and predicts cognitive decline over time.

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Investigator: Profofessor Vanessa Raymont, Dr Ivan Koychev

Project Title: Longitudinal Biomarker Trajectories and Event-Based Outcomes in Predicting Dementia Risk: A Joint Modelling Approach

Date: February 16, 2025 at 11:12 am

Request ID: D2601 Yang

Aim 1: Explore the ability of longitudinal blood-based biomarkers (e.g., pTau217, % pTau217, pTau181, Aβ42/40 ratio) to detect heterogeneity in dementia-related disease trajectories, and evaluate the predictive accuracy for diagnostic progression and PET/CSF biomarker conversion, and clinical relevance…

Aim 2: Evaluate whether multi-marker blood-based biomarker profiles (e.g., plasma pTau217, pTau181, NfL, GFAP, and Aβ42/40) can identify biologically distinct disease subgroups at a given time point and characterize how individuals transition between these biomarker-defined states over time…

Aim 3: Determine whether renal function, indexed by estimated glomerular filtration rate (eGFR), modifies longitudinal blood-based biomarker trajectories and their predictive performance for diagnostic progression and PET/CSF biomarker conversion in Alzheimer’s disease.

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Investigator: Joel Perlmutter

Project Title: Resting State Functional Connectivity in Alzheimer and Parkinson Diseases

Date: February 14, 2025 at 6:46 pm

Request ID: D2513

Aim 1: Examine resting state fMRI functional connectivity matrices and spectral biomarkers in participants with AD and PD and their respective control groups

Aim 2: Analyze the extent to which FC changes characteristic of AD and PD resemble features known to index level of arousal

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Investigator: Devin Drown

Project Title: A combined re-analysis of Alzheimer’s Disease and the Human Gut Microbiome

Date: February 6, 2025 at 5:37 pm

Request ID: D2512

Aim 1: I am an undergraduate researcher at the University of Alaska Fairbanks, working on an independent project to re-analyze multiple data sets. My goal is to take the raw sequence reads and process them all through the same databases to examine trends

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Investigator: Paul Aisen (USC, primary award), B. Joy Snider (Wash U sub award)

Project Title: Alzheimer Clinical Trial Consortium Brain Donation Progra

Date: February 6, 2025 at 2:58 pm

Request ID: D2511

Aim 1: To offer brain donation to clinical trial participants. Autopsy on these participants has the potential to provide meaningful data to confirm the impact of interventions on neuronal integrity, disease processes, as well as the impact brain and disease etiology may have on efficacy of different inte

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