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: Xianbo Wu
Project Title: The association of the distribution of fat with cognitive decline
Date: December 21, 2021 at 5:17 pm
Request ID: D2020
Aim 1: What are the associations of regional adipose tissue depots and cognitive decline?
Aim 2: Does the expected inverse association between the distribution of fat and health risks differ among different weight status?
Aim 3: 3)Are there any biomarkers that may reflect or mediate the associations between regional body fat and cognitive decline?
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Investigator: John C. Morris
Project Title: Brain Aging associated with Sleep and Heart Health (BASH)
Date: December 21, 2021 at 5:17 pm
Request ID: D2110
Aim 1: Determine whether cardiovascular health risk factors mediate effects of sleep on cognition
Aim 2: Determine whether cardiovascular health risk factors mediate effects of sleep on brain structure
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Investigator: Fuhai Li
Project Title: To uncover neuron-inflammation and immune signaling pathways in AD microenvironment using computational models and single cell omics data
Date: December 21, 2021 at 5:17 pm
Request ID: D2111
Aim 1: Aim 1: To develop novel computational models to uncover the activated core signaling networks within individual cell types; and identify the neuron-niche cell signaling interaction networks; and their associations with neuro-inflammation and immune signaling using single cell RNA-seq and proteomics
Aim 2: Aim 2: To develop novel computational models to predict drugs and drug combinations that can perturb the neuro-niche cell signaling communications to inhibit neuro-inflammation and immune response.
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Investigator: Arthi Venkatesan
Project Title: Replication of an Inverse Association between the Hippocampus and Caudate
Date: December 21, 2021 at 5:17 pm
Request ID: D2112
Aim 1: Determine whether we can replicate the inverse association between hippocampal and caudate volume in a larger sample of clinically normal older adults.
Aim 2: Determine whether the inverse association extends to other brain regions in the networks supporting the two navigation/memory systems.
Aim 3: Examine the inverse association between hippocampal and caudate volumes across AD stages, particularly the preclinical AD stages.
Aim 4: Assess whether there are differential associations of cognitive tasks with hippocampal and caudate volume.
Investigator: Pete Millar
Project Title: Modeling brain-predicted age in preclinical and early symptomatic Alzheimer disease
Date: December 21, 2021 at 5:17 pm
Request ID: D2019
Aim 1: Generate machine learning based model predictions of brain age from multimodal structural and functional neuroimaging data.
Aim 2: Replicate previous findings of �elevated� brain-predicted age in symptomatic AD using multimodal neuroimaging model.
Aim 3: Test whether brain-predicted age is elevated in preclinical AD and if it is associated with AD biomarkers.
Aim 4: Test associations between brain-predicted age and cognition using multimodal neuroimaging model.
Investigator: Shea Andrews
Project Title: Association of mitochondrial DNA copy number with AD neuropathological change
Date: December 21, 2021 at 5:17 pm
Request ID: D2018
Aim 1: Evaluate association of mitochondrial DNA copy number with neuropathological diagnosis of AD
Aim 2: Evaluate association of mitochondrial DNA copy number with AD neuropathology
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Investigator: Jason Hassenstab
Project Title: Does sundowning occur in preclinical and early stage Alzheimer disease?
Date: December 21, 2021 at 5:17 pm
Request ID: D2017
Aim 1: Assessing whether increasing AD pathology is associated with mild sundowning behaviors, manifesting in short term decline in cognition even in the asymptomatic preclinical and early symptomatic stages of Alzheimer disease.
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Investigator: Nure Alom Nobel
Project Title: Alzheimer’s Disease Detection Using Deep Learning.
Date: December 21, 2021 at 5:17 pm
Request ID: D2016
Aim 1: How Alzheimer’s Disease affects the human brain and what changes are made in the brain.
Aim 2: We can know whether a patient has AD or not.
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Investigator: Jorge J Llibre-Guerra
Project Title: Proposal for comparison between Dominantly Inherited Alzheimer Disease and sporadic early-onset Alzheimer’s disease.
Date: December 21, 2021 at 5:17 pm
Request ID: D2015
Aim 1: To compare clinical presentation, neuropsychological performance and cognitive decline rate between DIAD and sporadic EOAD.
Aim 2: To examine in vivo the regional distribution of tau, amyloid-β, brain glucose metabolism, and structural atrophy, as well as their relationships, in DIAD and sporadic EOAD.
Aim 3: To compare CSF biomarkers levels and rate of change in DIAD and sporadic EOAD.
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Investigator: Jason Hassenstab
Project Title: Comparison of the Montreal Cognitive Assessment (MoCA) with standard cognitive measures and AD biomarkers.
Date: December 21, 2021 at 5:17 pm
Request ID: D1912
Aim 1: To determine if the MoCA subdomain and total scores are comparable to standard neuropsychological measures.
Aim 2: Compared to standard cognitive measures, does the MoCA show equivalent sensitivity to clinical disase progression, as measured by AD biomarkers.
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