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: Rafael Taeho Han
Project Title: CSF-Plasma Proteomic Profiling (SomaScan) to study Neuroinflammatory Diseases: Multiple Sclerosis, MOG Antibody Disease, and Neuromyelitis Optica
Date: August 4, 2025 at 1:09 am
Request ID: D2532
Aim 1: analysis of SomaScan proteomic data from paired cerebrospinal fluid (CSF) and plasma samples of patients with neuroinflammatory diseases, including Multiple Sclerosis (MS), Myelin Oligodendrocyte Glycoprotein (MOG) antibody disease, and Neuromyelitis Optica (NMO)
Aim 2: o strengthen the statistical power and validity of our analyses, we require additional healthy aging control data. A critical component of our study is to compare disease-associated proteomic profiles with those from healthy aging individuals as controls.
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Investigator: Shea Andrews
Project Title: Evaluating the association of Integrative Genetic and Clinical Risk Profiles with Age of Onset and ATN Biomarker Profiles in Autosomal Dominant Alzheimer’s Disease
Date: July 18, 2025 at 5:24 pm
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Aim 1: Quantify the combined and interactive effect of APOE genotype, AD-PRS, and CRS on age of symptom onset in ADAD mutation carriers. We hypothesize that higher cumulative genetic and clinical risk burden will predict earlier symptom onset, beyond the effects of monogenic mutations alone.
Aim 2: Characterize A/T/N biomarker trajectories associated with combined genetic and clinical risk profiles among ADAD mutation carriers using plasma, cerebrospinal fluid (CSF) and imaging data from DIAN participants.
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Investigator: Yizhou Yu
Project Title: Alzheimer’s Microbiome Atlas
Date: July 14, 2025 at 1:10 pm
Request ID: D2530
Aim 1: Investigating the human gut microbiome’s changes over the course of Alzheimer’s disease.
Aim 2: Exploring potential effects the gut may have on the progression of Alzheimer’s disease
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Investigator: Yiyi Hu
Project Title: Cross-Tracer Analysis of Amyloid-β PET Imaging Using PiB and AV-45
Date: July 14, 2025 at 7:33 am
Request ID: D2529
Aim 1: To compare amyloid burden across PET scans acquired with 11C-PiB and 18F-AV-45 using SUVR values and standardized Aβ positivity cutoffs.
Aim 2: To examine regional uptake patterns and variability in Aβ distribution across tracers in cognitively normal and impaired subjects.
Aim 3: To develop and validate an end-to-end deep learning model for Aβ status classification using raw PiB and AV-45 PET volumes.
Aim 4: To evaluate tracer harmonization strategies using SUVR and Centiloid scales for cross-tracer generalization and compatibility.
Investigator: Andrew J. Aschenbrenner
Project Title: Clarifying the role of mind wandering in Alzheimer disease
Date: July 9, 2025 at 11:49 am
Request ID: D2528
Aim 1: Determine if subjective and objective mind wandering metrics from the new tasks sensitive to amyloid burden cross-sectionally
Aim 2: Determine if the amyloid to mind wandering relationship depend upon clinical status (CDR 0 vs. CDR 0.5).
Aim 3: Determine if mind wandering moderates the relationship between amyloid and standard cognitive outcomes (e.g., the Knight Preclinical Alzheimer Disease Cognitive Composite (PACC)).
Aim 4: Determine if mind wandering correlates with other clinical outcomes.
Investigator: Lukai Zheng
Project Title: Uncovering distinct spatial-temporal trajectories of tau accumulation to predict disease progression and cognition decline in Alzheimer’s disease
Date: July 2, 2025 at 8:19 pm
Request ID: D2527
Aim 1: To determine whether tau-PET defined AD subtypes can predict longitudinal amyloid and tau accumulation, as well as cognition decline in individuals across the AD spectrum.
Aim 2: To test if there is a sex-specific effect of tau-PET defined subtypes on tau spreading and cognition decline.
Aim 3: To develop and evaluate a ML model that predicts longitudinal cognitive performance based on baseline multimodal data.
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Investigator: Andy Qi
Project Title: Alzheimer’s Disease Plasma Proteomics Study
Date: June 25, 2025 at 1:30 pm
Request ID: D2526
Aim 1: Build machine learning models to predict AD based on proteomic data.
Aim 2: Validate biomarkers in independent cohorts to ensure reproducibility.
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Investigator: Jonathan Kipnis
Project Title: Contribution of blood- vs skull-derived immune cells to Alzheimer’s disease – Brase et al study
Date: June 13, 2025 at 2:14 pm
Request ID: D2525
Aim 1: Analyze snRNAseq data from Knight ADRC samples from the dataset published in Brase, et al. Single-nucleus RNA-sequencing of autosomal dominant Alzheimer disease and risk variant carriers (https://doi.org/10.1038/s41467-023-37437-5) to compare against a mouse derived gene s
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Investigator: Cruchaga
Project Title: Identification of cortical and blood circular RNA in Alzheimer’s Disease
Date: June 12, 2025 at 8:13 pm
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Aim 1: 1. To benchmark the blood circRNA models in predicting AD compared to MS tau analytes in CSF and plasma.
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Investigator: Anna-Lena Schubert
Project Title: Monitoring Cognition in the Wild
Date: June 11, 2025 at 8:22 am
Request ID: D2524
Aim 1: This project aims to evaluate the psychometric properties and temporal dynamics of smartphone-based cognitive assessments in older adults, using data from Project 4 of the Health Aging and Senile Dementia (HASD) study.
Aim 2: First, it seeks to inform design parameters for future longitudinal ecological momentary assessment (EMA) studies.
Aim 3: Second, it aims to investigate idiographic dynamics in cognitive functioning.
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