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: You Cheng
Project Title: Investigating the Role of Tau Pathology and Neuropsychiatric Symptoms in Predicting Conversion to Alzheimer’s Disease in Mild Behavioral Impairment
Date: April 9, 2025 at 10:03 am
Request ID:
Aim 1: Test the Hypothesis: Patients with higher baseline tau levels and MBI will have an increased probability of converting to clinical AD compared to those with lower tau levels.
Aim 2: Investigate Relationships: Examine the relationships among tau pathology, amyloid burden, neuropsychiatric symptoms, cognitive performance, and structural brain changes.
Aim 3: Predictive Modeling: Develop predictive models integrating imaging, genetic, and fluid biomarker data to identify individuals at highest risk for conversion.
Aim 4:
Investigator: Motonobu Fujishima
Project Title: Unraveling Within-Region Temporal Dependencies among Amyloid, Tau, Neurodegeneration, and Cognitive Decline in Alzheimer’s Disease
Date: April 4, 2025 at 8:30 pm
Request ID:
Aim 1: To characterize the within-region temporal sequence among amyloid accumulation, tau deposition, cortical atrophy, and cognitive decline in Alzheimer’s disease, using the OASIS longitudinal AV1451 dataset.
Aim 2: To quantify the degree of temporal coupling and time lag between these outcomes within individual cortical regions.
Aim 3: To assess whether the strength and timing of the progression pathway (Aβ → tau → neurodegeneration → cognition) vary across cortical regions.
Aim 4:
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
Request ID:
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
Aim 4:
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.
Aim 4:
Investigator: XINYI LIU
Project Title: Analysis of the unfolded protein pathway
Date: April 2, 2025 at 8:35 am
Request ID:
Aim 1: meta analysis to find pattern
Aim 2:
Aim 3:
Aim 4:
Investigator: Patricio Chrem Mendez
Project Title: Centiloid Internal Validation
Date: March 28, 2025 at 8:26 am
Request ID:
Aim 1: We kindly request the Centiloid results exclusively from our DIAN-Obs Sites 956/966 for internal validation purposes (to make comparisons).
Aim 2:
Aim 3:
Aim 4:
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
Request ID:
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
Aim 3:
Aim 4:
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
Request ID:
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.
Aim 2:
Aim 3:
Aim 4:
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: D2514
Aim 1: Primary Objective: To determine how longitudinal changes in BBMs (e.g., p-Tau217, p-Tau181, Aβ1-42/40 ratio) predict time to dementia diagnosis/MCI onset.
Aim 2: Secondary Objective 1: Event-Specific Contributions of Biomarkers: To investigate the association between biomarker trajectories and specific cognitive or neuroimaging events, providing insights into disease progression pathways.
Aim 3: Secondary Objective 2: Predictive Power of Biomarkers: To compare the predictive power of individual BBMs for dementia risk using metrics such as Net Reclassification Index (NRI) and Integrated Discrimination Improvement (IDI).
Aim 4: Secondary Objective 3: To provide dynamic, personalized dementia risk predictions based on individual biomarker trajectories.
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
Aim 3:
Aim 4: