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: [153]
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: Junie Saint Clair
Project Title: Examining the Predictive Value of Synaptic Dysfunction and Neuronal Injury Measures on Imaging Markers of Disease Presentation and Progression in Alzheimer’s Disease
Date: [153]
Request ID: D2323
Aim 1: Evaluate association between rates of longitudinal change in CSF levels of Ng, SNAP-25, VILIP-1 and imaging brain changes and cognition in a DIAD cohort.
Aim 2: Evaluate association between rates of longitudinal change in CSF levels of Ng, SNAP-25, VILIP-1 and imaging brain changes and cognition in aged adults LOAD cohort.
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Investigator: Jeremy Strain
Project Title: Blood Brain Barrier Association with WMH Frequency and Expansion
Date: [153]
Request ID: D2324
Aim 1: 1) Does BBB integrity associate with regional WMH burden and or regional expansion 1a) across the disease spectrum and/or 1b) in preclinical individuals.
Aim 2: 2) Does BBB integrity associate with regional WMH density, as quantified by DTI, 2a) across the disease spectrum and/or 2b) in preclinical individuals
Aim 3: 3) Can WMH and metrics of BBB predict 3a) amyloid positivity and/or 3b) cognitive outcome.
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Investigator: Julie Wisch
Project Title: Trip Chaining Behavior in Preclinical AD
Date: [153]
Request ID: D2325
Aim 1: To describe the trip chaining behavior older adult driverss living in the greater St. Louis, MO metroplex and neighboring Illinois
Aim 2: To identify key transition points in the process of aging/the development of preclinical AD when trip chaining behavior shifts.
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Investigator: Julie Wisch
Project Title: Neighborhood Characteristics Associated with Elevated Brain Age Gap
Date: [153]
Request ID: D2326
Aim 1: To identify neighborhood characteristics associated with accelerated brain aging in aging urban-dwelling adults
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Investigator: Matthew Kang
Project Title: Neurofilament light and glial fibrillary acidic protein as a diagnostic and prognostic biomarker for mood disorders: A systematic review and meta-analysis
Date: [153]
Request ID: D2327
Aim 1: Identify the association between neuronal (neurofilament light chain) and glial (glial fibrillary acidic protein) biomarkers in patients with mood and anxiety disorders compared to healthy controls
Aim 2: Identify whether there are any associations between NfL/GFAP and clinical variables of mood and anxiety disorders including symptom severity and cognition
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Investigator: John C. Morris
Project Title: Understanding the effects of Alzheimer’s Disease on the gut microbiome (GM)
Date: [153]
Request ID: D2328
Aim 1: Obtain species-level taxonomic and functional GM profiles and MAGs from fecal samples
Aim 2: Longitudinally track GM taxonomy, function, and activity in adults at different stages of AD and identify host factors associated with these dynamics
Aim 3: Identify GM features and interactions associated with AD and test whether temporal data improves prediction of AD status
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Investigator: Ganesh Chand
Project Title: Linking Alzheimer’s disease imaging markers with behavior and genetics via machine learning
Date: [153]
Request ID: D2329
Aim 1: Develop machine learning modeling methods to study multivariate relationships of regional amyloid PET, tau PET, and MRI with behavioral phenotypes in MCI/AD and controls
Aim 2: Investigate the regional heterogeneity mechanisms of amyloid PET, tau PET, and MRI in MCI/AD relative to controls
Aim 3: Investigate the relationships of amyloid PET, tau PET, and MRI heterogeneity signatures with behavioral and genetic measures at baseline and longitudinal follow-ups
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Investigator: Brian Gordon
Project Title: Comparing spatial patterns of age, neurodegeneration, and development: is Alzheimer Disease a developmental disorder?
Date: [153]
Request ID: D2330
Aim 1: Determine spatial patterns of cortical expansion and thinning in both aging and development
Aim 2: Elucidate spatial patterns of functional connectivity (FC) development and degeneration
Aim 3: Compare spatial patterns of development and degeneration to other biological properties
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Investigator: Daniel C. Alexander
Project Title: A coupled-mechanisms probabilistic inference framework for neurodegenerative disease progression
Date: [153]
Request ID: D2331
Aim 1: Use the longitudinal tau PET data from OASIS3-Longitudinal Tau dataset to validate our proposed coupled mechanisms modelling framework for the network related propagation of neurodegeneration trained on ADNI.
Aim 2: Explore more complex mechanisms of how neurodegeneration progresses along brain connectivity
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