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: Bin Zhang
Project Title: Integrative Regulatory Network Analysis of Multi-Omics Data Across Brain, Plasma, and CSF in Alzheimer’s disease
Date: November 3, 2025 at 10:33 am
Request ID: D2547
Aim 1: Construct and characterize tissue-specific coexpression networks across brain, CSF, and plasma
Aim 2: Integrate multi-omics networks to identify shared and tissue-specific molecular signatures and key drivers of AD
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Investigator: Zhe Zhao
Project Title: Data-Driven Molecular Subtyping of Alzheimer’s Disease Using Multi-Modal Biomarkers
Date: October 31, 2025 at 7:42 am
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Aim 1: Integrate demographic, clinical, biomarker, genetic, imaging, and CSF proteomic data to create a comprehensive dataset representing key molecular and clinical dimensions of Alzheimer’s disease.
Aim 2: Apply dimensionality reduction and unsupervised clustering to identify reproducible AD molecular subtypes reflecting synaptic, inflammatory, metabolic, and myelin-related heterogeneity.
Aim 3: Develop and validate a ridge-regression classifier to assign subtype probabilities to individuals and evaluate its reproducibility and generalizability across multiple independent cohorts.
Aim 4: Use longitudinal clinical and biomarker data to determine subtype-specific risks for cognitive decline and MCI-to-AD conversion through Cox and mixed-effects modeling.
Investigator: Rohan Palmer
Project Title: Proteomic Associations with AD in CSF
Date: October 29, 2025 at 5:26 pm
Request ID: D2546
Aim 1: Sample size calculation of therapeutic intervention for modifying NPTX2:YWHAG1 ratios
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Investigator: Francesca Farina
Project Title: Advancing Female-Specific Predictive Models and Risk Assessment Tools for Alzheimer’s Disease in the US and Latin America
Date: October 27, 2025 at 1:21 pm
Request ID: D2545
Aim 1: Our project aims to develop predictive models of Alzheimer’s disease risk that are specific to women, focusing on reproductive history and hormonal transitions, and how these factors interact with lifestyle, vascular, genetic, and social determinants.
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Investigator: Tom Hardwicke
Project Title: Data access and reproducibility check
Date: October 16, 2025 at 6:11 pm
Request ID: D2544
Aim 1: Data access and reproducibility check
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Investigator: Mingxia Liu
Project Title: Multimodal Neuroimage Analysis for Accessing Clinical Progression of Subjective Cognitive Decline
Date: October 14, 2025 at 5:44 pm
Request ID: D2543
Aim 1: Explore how deep learning and generative models can be leveraged to synthesize PET to enhance the predictive power of early AD biomarkers.
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Investigator: Xue Wang
Project Title: Studying neurodegenerative diseases using iPSC-derived models
Date: October 1, 2025 at 10:33 am
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Aim 1: Identify appropriate iPSC lines with robust phenotypic differences
Aim 2: Evaluate novel therapeutic strategies using iPSC models
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Investigator: Parinaz Massoumzadeh
Project Title: Clinical-Biological Stage Concordance and Discordance in Alzheimer’s Disease
Date: September 25, 2025 at 9:02 pm
Request ID: D2542
Aim 1: Implementing the revised two dimensional biological-clinical staging framework to the Knight-ADRC cohort to classify participants and provide an empirical distribution of staging categories.
Aim 2: Analyzing baseline characteristics of participants in each category, and identifying factors associated with compliant, resilient divergent, and co-morbid divergent behaviors.
Aim 3: Comparing longitudinal trajectories of validated biological and clinical markers within each category.
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Investigator: Lars Lau Raket
Project Title: Longitudinal Item Response Theory Modelling on Clinical Dementia Rating (CDR)
Date: September 14, 2025 at 9:38 am
Request ID: D2541
Aim 1: Develop and validate a novel longitudinal item-level statistical framework for CDR data that models the latent disease trajectory with both global structure and local stochastic deviations, and identifies items most predictive of treatment effect and future decline.
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Investigator: Brice McConnell
Project Title: Determining the Connections Between Sleep-Based Digital Biomarker Signals and Brain Aging, Cognition, Molecular Biomarkers, and Neuroimaging
Date: September 9, 2025 at 6:02 pm
Request ID: D2540
Aim 1: Aim 1: Elucidate the oscillatory event features of sleep EEG that best predict brain age and determine the performance of these features in assessing whether an individual is experiencing more “youthful” or “accelerated” brain aging.
Aim 2: Aim 2: Examine the relationship between sleep’s memory-processing oscillatory circuit integrity and cognitive decline.
Aim 3: Aim 3: Delineate the relationships between memory-processing oscillatory circuity integrity and Alzheimer’s disease-related neuroimaging and molecular biomarkers.
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