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: Marta Stojanovic

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

Date: September 23, 2022

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

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: Ganesh Babulal

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

Date: August 23, 2022

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

Date: August 23, 2022

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: Marta Stojanovic

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

Date: August 16, 2022

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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Investigator: Dr. Rik Ossenkoppele

Project Title: Connectivity as a universal predictor of tau spreading in atypical AD

Date: August 10, 2022

Request ID: D2214

Aim 1: Collect and harmonize large-scale multicenter tau-PET and post-mortem data of atypical AD variants

Aim 2: Test whether higher inter-regional connectivity is associated with higher covariance in tau pathology across atypical AD variants

Aim 3: Examine whether connectivity of tau epicenters predicts AD-variant specific tau spreading sequences

Aim 4: Validate subject-specific prediction of tau spreading using longitudinal tau-PET data in atypical AD

Investigator: Katie Saund

Project Title: Influence of AD risk variants in TREM2 on the CSF, brain, and plasma proteomes

Date: August 10, 2022

Request ID: D2215

Aim 1: Build predictive models of TREM2 mutational status based on brain, CSF, and plasma proteomics

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Investigator: Tao Sun

Project Title: Tau-PET change along with Alzheimer’s disease: from a topology perspective

Date: August 3, 2022

Request ID: D2213

Aim 1: Investigate the longitudinal change of tau deposition from network perspective

Aim 2: Identify related biomarkers for early AD detection in prodromal stage

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Investigator: Tony Wyss-Coray

Project Title: ADRC Collaboration: Wyss-Coray Lab and Cruchaga Lab

Date: July 25, 2022

Request ID: D2212

Aim 1: Validation of Organ-Specific Aging Signatures in Neurodegenerative Disease

Aim 2: Assessing CSF:Plasma Protein Ratios in Aging and Neurodegenerative Disease

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Investigator: Colin Masters

Project Title: Prof. Schindler Neurology Paper Validation using ADOPIC

Date: July 18, 2022

Request ID: D2211

Aim 1: Validate the time at which Amyloid begins to accumulate in the brain using Prof Schindler’s method as described in her Nerorology paper using CapAIBL generated Centilid values.

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