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: Jeremy Strain
Project Title: Phosphorylation Tau Profile of Aging and AD with TBI
Date: July 20, 2023
Request ID: D2322
Aim 1: Do Individuals with a history of TBI have elevated phosphorylation at tau site T217 compared to individuals without a history of TBI?
Aim 2: Do individuals with a history of TBI have a similar or different spatial relationship with magnetic resonance imaging mettrics of neuroddegeneration compared to AD?
Aim 3: Does phosphorylated tau in individuals with a history of TBI associate with cognition?
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Investigator: Gregory Wu
Project Title: MOG in Alzheimer’s Disease
Date: July 19, 2023
Request ID: D2321
Aim 1: Determine whether circulating MOG protein is detectable in AD
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Investigator: Manuel Dietrich
Project Title: Validation meta-analysis to identify novel biomarkers for early diagnosis of Alzheimer’s
Date: June 28, 2023
Request ID: D2320
Aim 1: Validate and correlate internal bulk RNA-seq findings from human brains of AD patients with SOMAScan proteomics data from tissue, CSF, and plasma.
Aim 2: Compare and replicate internal bulk RNA-seq findings from human brains of AD patients with SOMAScan proteomics data from tissue, CSF, and plasma.
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Investigator: Beau Ances
Project Title: Predicting Cognitive Outcomes with Brain Age Gap
Date: June 26, 2023
Request ID: D2319
Aim 1: Test whether Brain Age Gap correlates cross-sectionally with measures of cognition
Aim 2: Test whether Brain Age Gap predicts longitudinal cognitive decline
Aim 3: Identify sources of mediation between the relationship between Brain Age Gap and cognition
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Investigator: Chengjie Xiong
Project Title: AD biomarkers and cancer
Date: June 15, 2023
Request ID: D2317
Aim 1: To assess how cancer may be associated with changes in AD biomarkers
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Investigator: Nicole S McKay
Project Title: Prevalence of AD-pathology in older adults of the Knight Alzheimer Disease Research Center (ADRC)
Date: June 15, 2023
Request ID: D2318
Aim 1: This proposal extends upon prior work examining the frequencies of imaging-derived -amyloidosis and neurodegeneration, among older adults with normal cognitive function.
Aim 2: Replicate the above-mentioned Jack et al. study using data from the Knight ADRC cohort to determine the extent to which our frequencies of imaging-derived -amyloidosis and neurodegeneration in non-demented participants, aligns with their prior work.
Aim 3: Extend upon prior work by also determining frequencies of commonly used biofluid metrics of AD pathology
Aim 4: Further these findings by considering tauopathy measured using tau-PET
Investigator: Kellen Petersen
Project Title: Disease Progression Modelling of Alzheimer’s Disease Using In Vivo Biomarkers, Neuropsychological Assessments, and Neuropathological Data
Date: May 16, 2023
Request ID: D2316
Aim 1: To implement machine learning and event-based disease progression models using cross-sectional data to determine disease trajectories and temporal subtypes
Aim 2: To apply dynamical disease progression models to longitudinal data to assess rates of disease projection and determine individual variability
Aim 3: To demonstrate the feasibility of a novel application of machine learning and event-based disease progression models to neuropathological data
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Investigator: Tobey Betthauser, PhD
Project Title: Multicohort study of factors that influence Alzheimer’s disease biomarker and dementia timing
Date: May 1, 2023
Request ID: D2315
Aim 1: Aim 1 will identify common factors across multiple cohorts that influence the timing and trajectories of ATN biomarkers.
Aim 2: Aim 2 will identify common factors across multiple cohorts that affect the time from amyloid onset to dementia.
Aim 3: Exploratory Aim 3 will investigate inter-cohort differences in AD biomarker and dementia trajectories.
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Investigator: Julie Wisch
Project Title: Staging PET with multiple tau phosphorylation sites and microtubule tau binding regions
Date: April 26, 2023
Request ID: D2314
Aim 1: Evaluate the efficacy of multiple tau phosphorylation sites at staging amyloid and tau burden
Aim 2: Evaluate the efficacy of MTBR at staging amyloid and tau burden
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Investigator: Rachel Hendrix
Project Title: APOE Risk and Fluid Biomarkers for Predicting Cognitive Decline
Date: April 13, 2023
Request ID: D2313
Aim 1: Predicting longitudinal cognitive outcomes based on APOE genotype in established and emerging fluid biomarkers.
Aim 2: Delineate immunomodulatory effects of APOE genotype on inflammatory molecules in biofluids and assess novel biomarker potential.
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