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: Dmitriy A. Yablonskiy
Project Title: Quantitative Evaluation of Changes in the AD brain Using Advanced MRI
Date: December 21, 2021 at 5:18 pm
Request ID: D1621
Aim 1: To develop a readily available, non-invasive quantitative in vivo MRI-based biomarker that can serve as a surrogate for amyloid-β accumulation in the brain
Aim 2: To establish specific quantitative and spatial patterns of GEPCI metrics abnormalities that would distinguish between normal brain, preclinical AD, and very mild AD
Aim 3: To establish the effect of early AD-related brain tissue damage (defined by GEPCI surrogate biomarkers) on cognitive performance and to test the hypothesis that the GEPCI metrics and/or changes in GEPCI metrics can be predictors of the disease progression
Aim 4: To validate GEPCI measurements against direct neuropathology
Investigator: Catherine roe
Project Title: Preliminary data for Mike Wiener project on behalf of JCM
Date: December 21, 2021 at 5:18 pm
Request ID: D1705
Aim 1: To compare ability of AD8 and CDR to predict AD dementia
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Investigator: Jee-young Han
Project Title: Clinical outcomes and its predictors in CDR 0.5, uncertain dementia
Date: December 21, 2021 at 5:18 pm
Request ID: D1704
Aim 1: To define and differentiate clinical characteristics of CDR 0.5, uncertain dementia
Aim 2: To demonstrate the clinical outcomes of CDR 0.5, uncertain dementia
Aim 3: To determine predictors of progression of CDR 0.5, uncertain dementia to AD
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Investigator: Arnaud Charil
Project Title: Potential usage of diffusion basis spectrum imaging (DBSI) to assess white matter inflammation in Alzheimer�s disease
Date: December 21, 2021 at 5:18 pm
Request ID: D1703
Aim 1: Generate a normative profile (across brain regions/tracts and subjects) of DBSI parameters, suitable for expressing (defining) �abnormal� levels of these parameters
Aim 2: Explore the profile of abnormalities in the different DBSI parameters in more advanced NIA-AA stage individuals
Aim 3: Refine potential analysis strategies for application to clinical trials
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Investigator: Sergey Shcherbinin
Project Title: Potential usage of PET-based perfusion measurements as candidates neurodegeneration biomarkers
Date: December 21, 2021 at 5:18 pm
Request ID: D1702
Aim 1: Analyze dynamic PET images obtained using different radiotracers
Aim 2: Optimize time window to measure perfusion using PET tracers
Aim 3: Perform cross-sectional and longitudinal comparison between perfusion measures and other biomarkers/scores
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Investigator: Samantha Allison
Project Title: Relationship between proton pump inhibitors and risk of dementia, cognition, brain structure, and Alzheimer disease biomarkers
Date: December 21, 2021 at 5:18 pm
Request ID: D1701
Aim 1: Examine the relationship between proton pump inhibitors and both risk of dementia and longitudinal change in cognition.
Aim 2: Examine the relationship between proton pump inhibitors and biological markers of Alzheimer disease (e.g., regional based brain volumes obtained via structural MRI, amyloid PET, and CSF biomarkers).
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Investigator: Chengjie Xiong
Project Title: Cross-sectional and Longitudinal Comparison of DIAN MC and those in the ACS on Biomarkers and Cognitions when Baseline Ages are Matched
Date: December 21, 2021 at 5:18 pm
Request ID: D1626
Aim 1: To compare DIAN MC to those with a positive family history in the ACS on baseline Biomarkers and Cognitions when their age were matched;
Aim 2: To compare DIAN MC to those with a positive family history in the ACS on the longitudinal rates of changes in Biomarkers and Cognitions when their baseline age were matched;
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Investigator: Teodoro Bottiglieri
Project Title: Methionine and methylation cycle metabolites in dementia.
Date: December 21, 2021 at 5:18 pm
Request ID: D1625
Aim 1: To determine and compare metabolites related to methionine metabolism and methylation in plasma and CSF from a cohort of subjects who cognitively normal and with mild dementia of the Alzheimer�s type.
Aim 2: To determine the relationship between metabolites related to homocysteine metabolism and methylation with other biomarkers of Alzheimer�s disease (i.e.ApoE genotype, beta-amyloid 1-40 and 1-42, Tau and p-Tau) in plasma and CSF.
Aim 3: To determine if metabolites of the methionine cycle and methylation are correlated with and predictive of changes in dementia clinical scores and brain imaging data in subjects enrolled in the �Longitudinal studies of healthy aging and dementia�.
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Investigator: Jason Hassenstab
Project Title: Characterization of Cognitive Aging in a Robust Sample of Healthy Older Adults
Date: December 21, 2021 at 5:18 pm
Request ID: D1624
Aim 1: Detemine the contribution of normal aging on cognitive trajectories in biomarker positive cognitively normal adults compared to biomarker negative older adults.
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Investigator: Isabelle Bos
Project Title: The relationship between dementia risk factors and AD biomarkers in preclinical AD
Date: December 21, 2021 at 5:18 pm
Request ID: D1623
Aim 1: To investigate the prevalence of vascular risk factors in different groups of cognitively normal individuals, classified according to their biomarker profile.
Aim 2: To examine the influence of risk factors on cognitive decline.
Aim 3: To explore the interplay between risk factors in their association with AD biomarkers.
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