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: Rawan Tarawneh, MD
Project Title: Proteomic and Transcriptomic Measures of Vascular Injury Markers in AD
Date: [153]
Request ID: D2124
Aim 1: Examine the longitudinal relationship between CSF proteomic and brain transcriptomic levels of vascular injury markers and cognition in AD
Aim 2: Examine the longitudinal relationship between CSF proteomic and brain transcriptomic levels of vascular injury markers and whole brain or regional atrophy in AD
Aim 3: Examine the longitudinal relationship between CSF proteomic and brain transcriptomic levels of vascular injury markers and CSF markers of amyloid, tau, and neuronal/synaptic injury in AD.
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Investigator: Pauline Huet
Project Title: Longitudinal amyloid PET quantification tool
Date: [153]
Request ID: D2123
Aim 1: Development of a longitudinal amyloid PET quantification tool
Aim 2: Validation of a longitudinal PET quantification tool
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Investigator: Patrick Luckett
Project Title: Identifying Novel Neuroimaging Biomarkers of Healthy Aging and Disease Pathology with Machine Learning
Date: [153]
Request ID: D2122
Aim 1: Develop deep learning models which can identify functional and structural abnormalities in neuroimaging data
Aim 2: Use trained models to identify topographical areas of the brain affected by AD
Aim 3: Correlate results with other AD biomarkers
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Investigator: Cyrus Raji, MD, PhD
Project Title: The Neighborhoods Study: Contextual Disadvantage and Alzheimer’s Disease and Related Dementias (ADRD): Brain Bank Cohort
Date: [153]
Request ID: D2121
Aim 1: Aim 1: Determine the impact of the cumulative dose and timing of neighborhood disadvantage exposure (indexed by ADI) on ADRD neuropathologic burden and diagnosis
Aim 2: Aim 2: Aim 2: Using existing ADRC data and newly collected residential history data, define the extent to which individual sociodemographic factors such as race/ethnicity and sex mediate this relationship.
Aim 3: Overarching Hypothesis: As per the “Fundamental Causes Theory”, larger and earlier exposures to neighborhood disadvantage will predict greater disease burden among the targeted sample.
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Investigator: Willemijn Jansen
Project Title: The Amyloid Biomarker Study: AD pathology and demographic, lifestyle, and comorbid factors.
Date: [153]
Request ID: –
Aim 1: To investigate the association between lifestyle factors and AD biomarkers in participants with NC, SCD and MCI and investigate potential moderation of vascular factors on the association between lifestyle factors and AD biomarkers.
Aim 2: To investigate the relationship between depressive symptoms and AD biomarkers in participants with NC, SCD and MCI, and investigate potential moderation of vascular factors on the association between depressive symptoms and AD biomarkers.
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Investigator: Eran Hornstein
Project Title: miRNAs as diagnostic biomarkers for Alzheimer’s disease
Date: [153]
Request ID: D2119
Aim 1: Testing a microRNA classifier for FTD on an AD plasma cohort
Aim 2: Establishing plasma microRNAs as markers for differential diagnosis between AD and FTD
Aim 3: Developing a machine learning algorithm for AD classification based on plasma miRNA
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Investigator: Jane O’Halloran
Project Title: Use of blood-based biomarker to determine patterns of neurocognitive impairment in people living with HIV
Date: [153]
Request ID: D2118
Aim 1: Compare plasma levels of Aβ42/Aβ40 in older people living with HIV (PLWH) to cognitively normal age matched HIV- controls and symptomatic Alzheimer’s Disease (AD) participants and characterize plasma levels of Aβ42/Aβ40 in older PLWH.
Aim 2: Compare plasma levels of axonal injury (NfL) in older PLWH to cognitively normal age matched HIV- controls and symptomatic AD participants and characterize plasma levels of NfL in older PLWH.
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Investigator: Andrew Aschenbrenner
Project Title: Cognitive Dynamics in Preclinical Alzheimer Disease
Date: [153]
Request ID: D2117
Aim 1: Determine if daily variablity in cognitive scores correlates with AD biomarkers
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Investigator: Beau Ances
Project Title: Impacts of Social Determinants of Health in Alzheimer Disease
Date: [153]
Request ID: D2116
Aim 1: : To examine the effects of pollution on neuroimaging, laboratory, clinical, and neuropsychological performance measures
Aim 2: : To examine the effects of access to green space on neuroimaging, laboratory, clinical, and neuropsychological performance measures
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Investigator: Yangyang Song
Project Title: Associatinos between life-span cognitive reserve and subtypes of Neuropsychological performance, Structural Brain Changes
Date: [153]
Request ID: D2115
Aim 1: aim to examine whether life-span cognitive conserve is associated with subtypes of cognitive trajectories and brain structure
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