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: John Morris

Project Title: Evaluating tau microtubule binding region (MTBR) and tau phosphorylation as indicators of tau PET burden and spreading

Date: January 10, 2023 at 3:15 pm

Request ID: D2303

Aim 1: Test whether CSF MTBR-tau and tau phosphorylation more closely relate to estimates of tau PET burden or spatial spread

Aim 2: Test whether CSF MTBR-tau and tau phosphorylation increase with advanced tau staging based on spatial patterns of tau PET

Aim 3: Test whether CSF MTBR-tau and tau phosphorylation relate to network-based indicators of tau PET spreading

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Investigator: Guorong Wu

Project Title: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation

Date: January 5, 2023 at 9:17 am

Request ID: D2302

Aim 1: Developing machine learning approch to uncover the spreading pathway of tau aggregates.

Aim 2: Evaluate the prediction accuracy and replicability on exising public datasets

Aim 3: Explore the population sub-stratification on AD/ADRD cohorts

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Investigator: John Morris

Project Title: Predicting continuous PET values with pTau isoforms

Date: January 4, 2023 at 2:01 pm

Request ID: D2301

Aim 1: Test whether CSF pTau isoforms can predict regional amyloid burden

Aim 2: Test whether CSF pTau isoforms can predict regional tau burden

Aim 3: Assess the relative predictive ranges of each CSF pTau isoform for cortical amyloid burden and tauopathy

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Investigator: Gemma Salvadó

Project Title: Validation of a CSF biomarker-based staging model

Date: December 5, 2022 at 10:22 am

Request ID: D2221

Aim 1: To test whether there is a unique ordering on the abnormality of different CSF tau fragments

Aim 2: To assess the ordering of abnormality of several CSF tau fragments

Aim 3: To assess whether this ordering is associated with other relevant AD-related measures

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Investigator: Jonathan Jackson

Project Title: Foundations of Representative Engagement, Valid & Effective Recruitment (FOREVER) in AD Research

Date: October 5, 2022 at 3:23 pm

Request ID: D2220

Aim 1: Overall our goal is to better understand practices and principles of recruitment, engagement, and retention at the Knight ADRC, particularly for minoritized and marginalized populations.

Aim 2: We will use the data to build a data dashboard looking at dynamic catchment modeling to aid Knight ADRC in understanding its strengths and opportunities in recruiting and retaining certain populations to research studies.

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Investigator: Marta Stojanovic

Project Title: Physical activity, navigation, and Alzheimer disease biomarkers

Date: September 23, 2022 at 11:12 am

Request ID: D2219

Aim 1: Examine whether physical activity engagement moderates the association of Alzheimer disease biomarkers with spatial navigation performance cross-sectionally

Aim 2: Investigate whether physical activity and navigation performance interact to predict later levels of biomarkers

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Investigator: Dr. Randall Bateman

Project Title: Determining Changes in Cerebrospinal Fluid (CSF) Protein Composition as Humans Age to Search for Factors Contributing to Cognitive Health in Older Individuals

Date: August 25, 2022 at 1:17 pm

Request ID: D2218

Aim 1: Define a set of proteins in cerebrospinal fluid that vary with normal human aging.

Aim 2: Use machine learning to generate predictive models of clinical assessment scores based on proteins in the CSF that vary with age.

Aim 3: Use differential expression analysis to determine abundance differences in age related proteins in the CSF between young cognitively normal individuals, aged cognitively normal individuals, and aged pathogenic individuals.

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Investigator: BERISLAV V ZLOKOVIC

Project Title: Vascular Contributions to Dementia and Genetic Risk Factors for Alzheimer disease

Date: August 23, 2022 at 2:01 pm

Request ID: S1701

Aim 1: Evaluate longitudinally biomarkers of BBB breakdown (i.e., sPDGFRβ, CypA-MMP9 pathway, Qalb, fibrinogen) by serial CSF analysis in relation to serial Aβ and tau AD biomarker (CSF, PET) changes and cognitive decline.

Aim 2: Evaluate longitudinally BBB permeability by serial DCE-MRI measurements in relation to CSF biomarkers of BBB breakdown, Aβ and tau AD biomarker (CSF, PET) changes and cognitive decline.

Aim 3: Examine longitudinally BBB breakdown by serial DCE-MRI measurements in relation to serial CBF pCASL-MRI measurements, Aβ and tau AD biomarker (CSF, PET) changes and cognitive decline.

Aim 4: Evaluate regional BBB integrity (DCE-MRI) in relation to change in structural and functional connectivity and cognitive decline over time.


Investigator: Ganesh Babulal

Project Title: Daily Cognitive Performance and Variability in Predicting Naturalistic Driving Behavior

Date: August 23, 2022 at 11:29 am

Request ID: D2217

Aim 1: To determine if mean level differences in cognition or variability in daily cognitive performance, as measured with the Ambulatory Research in Cognition (ARC) study, mediate differences in driving behavior associated with amyloid pathology.

Aim 2: Examine whether daily cognitive performance on ARC correlates with driving behavior on the same day

Aim 3: Evaluate whether changes in driving behavior are associated with differences in cognition (mean performance and variability) measured with ARC

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Investigator: Marta Stojanovic

Project Title: The relationship between attentional control and PET-Tau

Date: August 16, 2022 at 5:14 pm

Request ID: D2216

Aim 1: Examine whether measures of attentional control predict tau deposition estimated via PET-Tau

Aim 2: Investigate whether APOE status moderates the relationship between attentional control and PET-Tau

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