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: Peter Millar
Project Title: Large language model (LLM)-assisted identification of atypical Alzheimer disease symptoms in Knight ADRC clinical notes
Date: March 6, 2026 at 5:56 pm
Request ID:
Aim 1: Identify subset of Knight ADRC participants with atypical tau PET signatures and extract symptom history from longitudinal clinical notes.
Aim 2: Characterize patterns, timing, and frequency of clinical features across the subgroups.
Aim 3: Compare occurrences of atypical symptoms to other sub-groups of patients within the Knight ADRC dataset.
Aim 4: Validate an LLM-assisted note review model for detecting indicators of atypical AD phenotypes in a sub-clinical group.
Investigator: Paul Kotzbauer
Project Title: Protein Aggregation and Neurotransmitter Deficits in Parkinsons Disease
Date: March 6, 2026 at 2:17 pm
Request ID:
Aim 1: Evaluate the relationship of developing thinking and gait problems with people with Parkinsons Disease, Lewy Body Dementia or a healthy control.
Aim 2:
Aim 3:
Aim 4:
Investigator: Nilufer Taner
Project Title: Centrally-linked longitudinal peripheral biomarkers of AD in multi-ethnic populations
Date: March 6, 2026 at 12:04 pm
Request ID:
Aim 1: Identify the next generation of AD biomarkers with mechanistic insights; establish a precision medicine approach for rigorous multi-omics biomarker discovery and validation in AD.
Aim 2: Enhance biomarker research in trial-ready multi-ethnic populations
Aim 3:
Aim 4:
Investigator: Rafael Han
Project Title: Multiomic analyis of paired CSF and blood samples from CNS demyelinating disease patients.
Date: February 24, 2026 at 10:52 pm
Request ID:
Aim 1: To compare CSF proteome among CNS demyelinating disease patients
Aim 2: To analzye paired CSF-blood proteome among CNS demyelinating disease patients
Aim 3:
Aim 4:
Investigator: Michael Belloy
Project Title: Mapping the X Chromosome Multi-Ome in Alzheimer’s and Parkinson’s Disease
Date: February 20, 2026 at 1:25 pm
Request ID: D2609
Aim 1: Create an X chromosome-wide brain and cerebrospinal fluid proteogenomic resource
Aim 2: Identify X chromosome proteins relevant to Alzheimer’s and Parkinson’s disease.
Aim 3: Identify X chromosome genes relevant to the Alzheimer’s and Parkinson’s disease endophenome
Aim 4:
Investigator: Nalin Payakachat
Project Title: Prognostic Modeling of Disease Progression in Preclinical Alzheimer’s Disease
Date: February 11, 2026 at 9:27 pm
Request ID: D2608
Aim 1: Assess the patterns of clinical trajectory and biomarker changes in early stages of Alzheimer’s disease using the longitudinal data from the Knight ADRC
Aim 2: Develop simple prediction models using longitudinal data from the Knight ADRC to characterize the risk of disease progression and the evolution of relevant biomarkers
Aim 3:
Aim 4:
Investigator: Tue Te
Project Title: Advancing Early Detection of Mild Cognitive Impairment and Dementia through Digital Biomarkers
Date: February 5, 2026 at 6:55 pm
Request ID: D2607
Aim 1: Develop machine learning models using voice/speech features to detect distinguish MCI from normal cognitive function in older adults.
Aim 2: : Describe associations between voice features and objective and subjective sleepiness in older adults.
Aim 3:
Aim 4:
Investigator: Keith Hengen
Project Title: Proximity to Criticality as a Predictive Biomarker in Alzheimer’s Disease
Date: January 26, 2026 at 11:11 am
Request ID: D2606
Aim 1: Aim 1: Establish criticality as a cross-sectional biomarker of cognitive capacity across the AD spectrum.
Aim 2: Aim 2: Test criticality as a predictive biomarker of disease progression.
Aim 3:
Aim 4:
Investigator: dehao yang
Project Title: 机器学习模型筛选出的特征变量预测AD风险
Date: January 23, 2026 at 10:07 am
Request ID:
Aim 1: 用两步MR寻找AD风险变量进行特征筛选，再运用机器学习模型进行模型构建，放入ADNI进行验证，最后用GBD数据进行AD风险的预测。机器学习特征变量预测AD已有一些研究，但是使用GBD数据库预测全球风险的文章现在并没有，有一定新颖性
Aim 2:
Aim 3:
Aim 4:
Investigator: Melissa Hatch
Project Title: Sleep and Alzheimer’s Disease: Exploring Differences in Race/Ethnicity and the Impact of Neurobiology and Cardiovascular Disease
Date: January 14, 2026 at 6:07 pm
Request ID: D2605
Aim 1: To identify relationships between midpoint of sleep and cognitive outcomes across racial/ethnic groups.
Aim 2: To evaluate the role of brain morphometry, functional connectivity, and cardiovascular disease risk in relationships between midpoint of sleep and cognitive outcomes across racial/ethnic groups.
Aim 3:
Aim 4: