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: Zhibo Wang
Project Title: Exploring Biomarkers Related to Alzheimer’s Disease: A Pathway to Diagnosis, Staging, and Therapeutic Targets
Date: February 23, 2024
Request ID: D2405
Aim 1: To identify biomarkers that provide a basis for the pathological diagnosis of Alzheimer’s Disease, enhancing early detection and accurate diagnosis.
Aim 2: To characterize the pathophysiological features of Alzheimer’s Disease at various stages, aiding in the understanding of its progression and impact.
Aim 3: To discover potential therapeutic targets among the identified biomarkers, opening avenues for the development of targeted treatments for AD.
Aim 4: To investigate biomarkers associated with the progression of Alzheimer’s Disease, contributing to the prediction and monitoring of disease advancement.
Investigator: Chia-Ling Phuah
Project Title: Genetic risk Of Alzheimer’s disease on Traumatic Brain Injury
Date: February 23, 2024
Request ID: D2406
Aim 1: Determine if genetic risk for AD influences cognitive impairment after TBI
Aim 2: Assess if AD genetic risks modulate the relationship between TBI and imaging markers of neurodegeneration
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Investigator: Oskar Hansson
Project Title: Improved precision of Alzheimer’s disease fluid biomarkers when using Amyloid-β40 or non-phosphorylated tau as a reference
Date: February 14, 2024
Request ID: D2404
Aim 1: Investigate if several already high performing CSF and plasma AD biomarkers can be improved by normalizing their concentrations to a reference protein (e.g., Aβ40 and non-phosphorylated mid-region tau [nP-tau]). For further details, see the file which was emailed to Marissa Streitz.
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Investigator: Iman Beheshti
Project Title: Association between inflammatory factors and accelerated brain aging in Alzheimer’s disease using OASIS3 data.
Date: February 5, 2024
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Aim 1: To compute brain age estimation (as a new metric reflecting brain health) using advanced ML models and structural MRI data in the field of AD.
Aim 2: To uncover the impact of inflammatory factors on the increased development of AD and the rate of AD progression.
Aim 3: To understand the association between tau features on brain age estimation in diverse form of AD
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Investigator: Iman Beheshti
Project Title: Association between inflammatory factors and accelerated brain aging in Alzheimer’s disease.
Date: February 5, 2024
Request ID: D2403
Aim 1: To compute brain age estimation (as a new metric reflecting brain health) using advanced ML models and structural MRI data in the field of AD.
Aim 2: To uncover the impact of inflammatory factors on the increased development of AD and the rate of AD progression.
Aim 3: To understand the association between tau features on brain age estimation in diverse form of AD
Aim 4: To find the association between medications taken by patients with the risk of developing AD and AD progression using the brain age estimation model.
Investigator: Nelly Joseph-Mathurin
Project Title: Pathology correlates of biomarkers for neurovascular unit dysfunction in AD
Date: February 1, 2024
Request ID: D2402
Aim 1: Evaluate the relationship between CSF proteomics of NVU-related proteins against neuropathology at a global level
Aim 2: Evaluate the relationship between imaging biomarkers of vascular changes and neuropathology at global and regional levels
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Investigator: Qian Liu
Project Title: Fusing Genomics and Neuroimaging: A Deep Learning Approach to diagnose Alzheimer’s Disease
Date: January 25, 2024
Request ID: D2401
Aim 1: Design and implement a deep learning model that effectively integrates genomics data with neuroimaging findings to identify biomarkers indicative of Alzheimer’s Disease.
Aim 2: Utilize the combined power of genomics and neuroimaging data to improve the accuracy and reliability of Alzheimer’s Disease diagnosis, surpassing the capabilities of models that rely on single-modality data.
Aim 3: Discover and analyze new correlations between genetic factors and brain imaging patterns in Alzheimer’s patients, contributing to a deeper understanding of the disease’s pathogenesis and aiding in the development of targeted treatments.
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Investigator: Qing Wang
Project Title: Association of CSF sTREM2 and plasma GFAP with an MRI measure of neuroinflammation
Date: December 18, 2023
Request ID: D2343
Aim 1: compare DBSI neuroinflammation index to in vivo CSF and plasma inflammation biomarkers (sTREM2 and GFAP) in the Knight ADRC cohorts
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Investigator: Shulan Hsieh
Project Title: Age prediction using resting state functional MRI
Date: December 15, 2023
Request ID: D2342
Aim 1: Compare model results by applying our developed model with the Data used in Millar et al. 2022 “Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease”
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Investigator: Marta Stojanovic
Project Title: Affective mechanisms of the decline in physical activity in preclinical AD
Date: December 13, 2023
Request ID: D2341
Aim 1: Examine whether AD pathology and mood contribute to physical activity.
Aim 2: Examine whether AD pathology and affective response to exercise contribute to physical activity.
Aim 3: Examine whether AD pathology and affective network connectivity contribute to physical activity.
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