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: Zhongwei Zhang
Project Title: Multi-shell Diffusion Modeling
Date: January 31, 2025 at 11:24 pm
Request ID: D2510
Aim 1: Investigating the Impact of Pre-Processing on Multi-Shell Diffusion Models
Aim 2: Multi-Shell Hybrid Models Development
Aim 3:
Aim 4:
Investigator: Oskar Hansson
Project Title: Biological staging of AD using plasma %p-tau217 and eMTBR-tau243
Date: January 27, 2025 at 8:26 pm
Request ID: D2509
Aim 1: Derive a biological staging model of AD using plasma %p-tau217 and eMTBR-tau243
Aim 2: Compare the biological staging model to other AD-relevant measures
Aim 3:
Aim 4:
Investigator: Haotian Zou
Project Title: Developing an Integrative Predictive Model for Alzheimer’s Disease Progression Using Multi-Modal Data from Knight-ADRC and Other Cohorts
Date: January 22, 2025 at 2:00 pm
Request ID: D2508
Aim 1: To develop a robust predictive model for AD progression by integrating multi-modal data, including longitudinal clinical data, MRI data, and omics data.
Aim 2:
Aim 3:
Aim 4:
Investigator: Abdallah Eteleeb
Project Title: Unraveling the impact of disease comorbidities in Alzheimer’s disease through multi-omics integration
Date: January 22, 2025 at 9:58 am
Request ID: D2507
Aim 1: Identify comorbidities associated with specific molecular profiles of Alzheimer’s disease through multi-omics data integration
Aim 2:
Aim 3:
Aim 4:
Investigator: Dr. Chengjie Xiong
Project Title: Investigate racial differences in the CDR item level data.
Date: January 13, 2025 at 5:04 pm
Request ID: D2506
Aim 1: Assess CDR item level data for possible racial differences along with AD biomarkers
Aim 2:
Aim 3:
Aim 4:
Investigator: Jennifer Yokoyama
Project Title: Comparative Analysis of Genetic Variants Associated with Interferon Response in Alzheimer’s Disease Using the OASIS Dataset
Date: January 13, 2025 at 2:57 pm
Request ID: D2505
Aim 1: Explore immunogenetic mechanisms of Alzheimer’s disease using clinical progression data and neuroimaging
Aim 2:
Aim 3:
Aim 4:
Investigator: N/A
Project Title: Prognosis of AD using AI
Date: January 13, 2025 at 3:30 am
Request ID: D2504
Aim 1: Prognosis of AD using deep learning based on AI
Aim 2:
Aim 3:
Aim 4:
Investigator: Ganna Blazhenets, Renaud La Joie
Project Title: Reproducibility of Centiloid Values in Real-World Amyloid PET Data
Date: January 8, 2025 at 1:59 pm
Request ID: D2503
Aim 1: Centiloid framework is now broadly used to harmonize amyloid-PET quantification and allow direct comparison across cohorts. Combining more than 30 heterogeneous cohorts, we aim to evaluate the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds
Aim 2:
Aim 3:
Aim 4:
Investigator: John C. Morris
Project Title: Longitudinal analysis of gut microbiome dynamics in Alzheimer Disease
Date: January 3, 2025 at 3:12 pm
Request ID: D2502
Aim 1: Characterize gut taxonomic composition and diversity in adults at different stages of AD
Aim 2: Characterize longitudinal changes in GM taxonomic composition, functional potential, and activity in adults at different stages of AD
Aim 3: : Correlate AD-associated GM taxa, function and activity with AD biomarker and host inflammation measures and test whether longitudinal GM dynamics improves prediction of AD status
Aim 4:
Investigator: Shinjini Kundu
Project Title: Biological Signatures of Tau
Date: December 23, 2024 at 11:48 pm
Request ID: D2501
Aim 1: Identifying MRI and Proteomic Stages Associated with Tau-PET
Aim 2: Predicting Time to Dementia Using Multimodal Data
Aim 3: Applying Machine Learning to Multimodal Analysis
Aim 4: