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: Chengjie Xiong
Project Title: Pre-Clinical BioMarker Study
Date: December 21, 2021 at 5:18 pm
Request ID: D1628
Aim 1: Integrate biomarkers and clinical and cognitive databases from 4 sites and develop novel statistical methods for analyzing biomarkers.
Aim 2: Statistically validate the preclinical stages of AD as proposed by the National Institute on Aging�Alzheimer’s Association (NIA-AA) Workgroup (Sperling et al. 2011).
Aim 3: Optimize the design of modern randomized clinical trials (RCTs) in preclinical or early-stage AD by identifying the cognitive composite that minimizes the sample sizes required to adequately power such trials.
Aim 4: Assess how MRI white matter hyperintensities, infarcts, microbleeds, Body Mass Index (BMI) & HbA1c contribute to the preclinical changes in biomarkers and cognition, and further neuropathologically validate findings of Aim 1 & 2.
Investigator: Joshua Shimony
Project Title: Improved statistical methods for resting state fMRI analysis
Date: December 21, 2021 at 5:18 pm
Request ID: D1627
Aim 1: Confirm the utility of new statistical techniques applied to resting state analysis and confirming these methods by comparing resting state connectivity across different ADRC cohorts.
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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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Investigator: Jee-young Han
Project Title: 2. Characteristics of atypical AD and use of amyloid markers
Date: December 21, 2021 at 5:18 pm
Request ID: D1622
Aim 1: To demonstrate prevalence of amyloid biomarkers in atypical dementia (non-AD dementia(uncertain or mixed) and AD with unusual features)
Aim 2: To determine the utility of amyloid biomarkers in diagnosing atypical AD in atypical dementia
Aim 3: To characterize atypical dementia in MAP cohort
Aim 4: To determine rate of cognitive decline in atypical AD dementia and non-AD dementia
Investigator: Cho-Yi Chen
Project Title: Reproduce the Results from Musiek et al. (2018): Circadian Rest-Activity Pattern Changes in Aging and Preclinical Alzheimer Disease
Date: December 21, 2021 at 5:18 pm
Request ID: D1901
Aim 1: Reproduce the results from Dr. Yo-El Lu’s paper in JAMA Neurology (Musiek et al., 2018) and apply the same methodology to our dataset.
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Investigator: Yong Wang
Project Title: Tensor Analysis of BOLD Signals in Alzheimer’s Disease
Date: December 21, 2021 at 5:18 pm
Request ID: D1902
Aim 1: Characterize the white matter BOLD tensor in normal aging and AD
Aim 2: Evaluate the relationsihp between white matter BOLD tensor and cognitive status in AD
Aim 3: Characterize the gray matter BOLD tensor in normal aging and AD
Aim 4: Evalaute the regional BOLD tensor connectivity in normal aging and AD
Investigator: Dr Noel Faux
Project Title: Replicating and evaluating blood-based AD risk signatures
Date: December 21, 2021 at 5:18 pm
Request ID: D1903
Aim 1: To replicate our blood-based predictive models of CSF AB 1-42 and tau
Aim 2: To evaluate the prognostic and clinical utility of our blood-based predictive models
Aim 3: Determine the utility of genomic risk scores when predicting CSF biomarkers
Aim 4: Evaluate the ability to predict other CSF based biomarkers