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 Yablonskiy
Project Title: Deep-Learning-Augmented Quantitative Gradient Recalled Echo (DLA-qGRE) MRI for in vivo Clinical Evaluation of Brain Microstructural Neurodegeneration
Date: February 10, 2024
Request ID: S2401
Aim 1: To develop DLA-qGRE data processing pipeline, compatible with MRI protocols of commercially available GRE sequences, for fast and reliable detection of microstructural pre-atrophic neurodegeneration in patients with asymptomatic and early AD.
Aim 2: To optimize k-space sampling strategy for developing qGRE imaging protocol with 3D isotropic 1x1x1 mm3 resolution with MRI acquisition time of about 5 minutes.
Aim 3: To demonstrate that the DLA-qGRE protocols developed in Aims 1 and 2 will yield reliable depiction of microstructural neurodegeneration in preclinical and early symptomatic AD as assessed by clinical neuroradiologists as compared to NLLS-qGRE images.
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Investigator: Andrei Vlassenko
Project Title: Brain Metabolism during task-evoked and spontaneous activity in aging and Alzheimer’s disease
Date: October 30, 2023
Request ID: S2312
Aim 1: Determine metabolic correlates of BOLD deactivations during task performance.
Aim 2: Determine whether task-evoked changes in brain metabolism differ among young adults, healthy older adults, and older adults with AD.
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Investigator: Mary Politi
Project Title: Implementation and Pilot Testing Visual Informed Consent Documents
Date: October 27, 2023
Request ID: S2311
Aim 1: Implement and test implementation of a visual consent template and process in 1 non-cancer trial
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Investigator: Aisling Chaney
Project Title: Investigating whole-body innate immune activation in Alzheimer’s disease using PET imaging and immune profiling
Date: October 18, 2023
Request ID: S2310
Aim 1: Investigate whole-body immune signatures associated with AD severity using TSPO-PET and blood-based immune profiling
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Investigator: Sarah Hartz
Project Title: Disentangling the relationship between alcohol consumption and biomarkers for Alzheimer disease and related dementias
Date: September 5, 2023
Request ID: S2309
Aim 1: Determine the current and longitudinal patterns of alcohol use among cognitively normal older adult participants in MAP, a longitudinal study of aging, and evaluate associations between alcohol use patterns and clinical onset of dementia.
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Investigator: Dustin Hammers
Project Title: Lifestyle Interventions for the Treatment of Early-Onset AD Study (LITES)
Date: July 12, 2023
Request ID: S2308
Aim 1: To evaluate the feasibility of a lifestyle intervention combining cognitive training and Tai Chi in participants with EOAD.
Aim 2: To investigate if this intervention improves cognitive, functional, and mood outcomes in participants with EOAD compared to an active control condition.
Aim 3: To examine if training or clinical variables moderate benefit from this combined lifestyle intervention.
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Investigator: Chengjie Xiong
Project Title: Linkages between Alzheimer Deisease Biomarkers and Exposure to Fine Particulate Matter
Date: April 10, 2023
Request ID: S2307
Aim 1: Use digital collection of exposure to particulate matter (PM1 and PM2.5) on all new and currently active MAP participants with ongoing longitudinal CSF, imaging, and SDOH. Determine cross sectional longitudinal association of PM1 and PM2.5 with CSF and plasma, Imaging, and Cognition.
Aim 2: Assess the role of fine particulate matter exposure in the racial differences of AD biomarkers between self-reported Black/African American and Non-Hispanic White (NHW) individuals.
Aim 3: Examine the role of inflammation (CSF sTREM2, CSF YKL-40, plasma GFAP) and vascular burden (white matter hyperintensities (WMH), body mass index (BMI)) in the association between fine particulate matter exposure and AD biomarkers and cognition.
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Investigator: Gregory Van Stavern
Project Title: Longitudinal validation of retinal biomarkers against cerebral imaging in preclinical Alzheimer’s disease
Date: April 6, 2023
Request ID: S2306
Aim 1: Identify retinal biomarker differences between preclinical AD participants (Ab PET+) and cognitively unimpaired (CU) older adults.
Aim 2: Validate candidate retinal biomarkers cross-sectionally against cerebral biomarkers using Ab PET as a measure of cerebral amyloidosis and MRI as a measure of neurodegeneration.
Aim 3: Determine the longitudinal relationship between retinal and brain imaging biomarkers, and the ability of baseline retinal biomarkers to predict cognitive and/or brain imaging biomarker changes over 3-year follow-up.
Aim 4: Assess the combined sensitivity and specificity of candidate retinal biomarkers with emergent plasma biomarkers in AD risk prediction.

Investigator: Tammie Benzinger
Project Title: Investigation of Inflammation in Alzheimer Disease and Related Dementias (ADRD) using [11C]-CS1P1
Date: April 3, 2023
Request ID: S2305
Aim 1: Aim 1 will consist of 60 adult volunteers that will be recruited and scanned to characterize [11C] CS1P1 uptake on PET scans of the brain and cervical lymph nodes, to assess for radiolabeled metabolites ( 30 healthy participants and 30 ADRD participants)
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Investigator: Jason Hassenstab
Project Title: Psychological Well Being and Momentary Cognition
Date: February 22, 2023
Request ID: S2304
Aim 1: To determine if day to day changes in cognition are related to well-being and whether this relationship can predict AD pathological burden and disease progression.
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