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.
Search Terms:
Investigator: David Holtzman
Project Title: Understanding the progression of tau pathology in Alzheimer Disease by genetic, environmental, and pharmacological factors
Date: January 9, 2024 at 3:01 pm
Request ID: T2402
Aim 1: Determine how MSA4A function in microglia impacts NP-tau seeding and spreading
Aim 2: Understand whether depletion of gut microbiota using broad-spectrum antibiotics impacts NP-tau sedding and spreading
Aim 3: Determine if next-generation passive immunization therapies to clear amyloid plaques and therapeutic lowering of APOE using antisense oligonucleotides lowers NP-tau seeding and spreading
Aim 4: Determine if T cell depletion impacts NP tau seeding and spreading
Investigator: Ryan Corces
Project Title: Identification of peripheral abnormalities in Alzheimer’s disease for biomarker and therapeutic discovery
Date: January 5, 2024 at 5:13 pm
Request ID: T2401
Aim 1: Define the transcriptional changes that accompany the AD-specific immune signature in stimulated human monocytes and T cells using massive-scale multiplexed single-cell RNA-seq
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Investigator: Richard Perrin
Project Title: AANP Diagnostic Slide Session
Date: December 27, 2023 at 8:03 pm
Request ID: T2322
Aim 1: For submission as an unknown case in the AANP Diagnostic Slide Session (neuropathology educational session at national meeting)
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Investigator: Jin-Moo Lee, Carlos Cruchaga and Manu Goyal
Project Title: Unraveling WMH Mechanisms in VCID with Imaging, Novel Multi-omics, and Open Data (UNWIND)
Date: December 22, 2023 at 12:42 pm
Request ID: T2320 Goyal
Aim 1: Define cellular and molecular pathways involved in white matter disease and their relationship to CAA, arteriolosclerosis, and AD pathology, using single cell and spatial transcriptomics in post-mortem human brain tissue.
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Investigator: Khairul Ansari
Project Title: Evaluation of the binding of hyperphosphorylayted Tau to normal tau as a biomarker for Alzheimer’s disease pathology and related Tauopathies in the Knight ADRC cohort
Date: December 22, 2023 at 12:08 pm
Request ID: T2321
Aim 1: We now propose to run a small set of well-characterized samples from the Knight ADRC (n=40) described in the Cohort Selection Section to replicate the results of the pilot study
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Investigator: Carlos Cruchaga
Project Title: Large Scale plasma proteomics of Alzheimer’s disease to identify novel biomarkers and causal targets
Date: December 16, 2023 at 7:35 pm
Request ID: T2319
Aim 1: Identify plasma proteomic signatures and new prediction models for AD
Aim 2: Identify potential causal and druggable proteins by using pQTL and Mendelian randomization, colocalization, and PWAS approaches
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Investigator: Carlos Cruchaga
Project Title: CSF and plasma metabolomics characterization of AD and ADRD
Date: December 16, 2023 at 7:33 pm
Request ID: T2318
Aim 1: Identification of metabolomics signatures and new prediction models for AD
Aim 2: Identify potential causal and druggable metabolites by using metabolomics-QTL and Mendelian randomization, colocalization, and PWAS approaches
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Investigator: Aaron Ring
Project Title: Decoding the Autoantibody ‘Reactome’ in Alzheimer’s Disease
Date: December 16, 2023 at 12:38 am
Request ID: T2316
Aim 1: Conduct an autoantibody-wide association study of Alzheimer’s Disease patients and matched controls to identify autoantibody responses that modify Alzheimer’s Disease risk and severity.
Aim 2: Evaluate the function and impact of Alzheimer’s Disease risk- or severity-modifying autoantibodies
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Investigator: Takahisa Kanekiyo, David Holtzman, Alison Goate
Project Title: Determine apoE isoform-dependent changes in composition of apoE lipoprotein particles in human CSF
Date: December 14, 2023 at 5:00 pm
Request ID: T2317
Aim 1: Purify apoE particles from human CSF samples using antibody-based pull-down assay.
Aim 2: Assess the apoE particle size distribution with human CSF samples.
Aim 3: Detect the apoE particles associated proteins and lipids by proteomics and lipidomics profiling.
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Investigator: Carlos Cruchaga
Project Title: Unbiased proteomic analyses and novel prediction models
Date: November 10, 2023 at 12:05 pm
Request ID: T2315
Aim 1: To generate proteomic data using the Alamar platform
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