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: Rajendra Apte
Project Title: Neurofilament Light Chain (NfL) as a Biomarker for Neurodegeneration in Glaucoma
Date: December 21, 2021 at 5:17 pm
Request ID: D2001
Aim 1: To determine whether there is an association between serum or cerebrospinal fluid (CSF) NfL and glaucoma in the Memory & Aging Project (MAP) cohort
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Investigator: John C. Morris
Project Title: Knight ADRC Genetics and High Throughput -Omics Core
Date: December 21, 2021 at 5:17 pm
Request ID: D2002
Aim 1: Obtain pedigree and MMSE data for spouse control participants.
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Investigator: Prof. Dr. Martin Hofmann-Apitius
Project Title: Modeling Predictive Therapeutic Interventions with Scientific Machine Learning
Date: December 21, 2021 at 5:17 pm
Request ID: D2003
Aim 1: Paired intimitely with prior knowledge established from scientific literature curated by researchers, the data will be used to fit remaining unknowns via deep learning (neural networks).
Aim 2: The final model will be used to attempt to predict the effect of certain interventions, rankring their capacity to address protein aggregation in Alzheimer’s Disease.
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Investigator: Bruna Bellaver
Project Title: Meta-analysis on glial biomarkers for AD
Date: December 21, 2021 at 5:17 pm
Request ID: D2004
Aim 1: Summarize the evidence for the diagnostic value of glial biomarkers in AD through a systematic review and meta-analysis
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Investigator: Kaanan Shah
Project Title: Predicting phenotypes in Alzheimer’s Disease using machine learning-enabled polygenic risk models
Date: December 21, 2021 at 5:17 pm
Request ID: D2005
Aim 1: Optimize AmyloidGB for predicting amyloid beta and validate in an external post-mortem cohort
Aim 2: Optimize and validate assays for predicting AD co-morbidities
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Investigator: Gagan S. Wig
Project Title: Examination of how changes in brain structure relates to changes in functional brain networks in adult individuals
Date: December 21, 2021 at 5:17 pm
Request ID: D2006
Aim 1: examining whether increasing age is associated with changes in functional brain networks within individuals
Aim 2: determining whether an individual�s neuroanatomical changes relate to their functional brain network changes
Aim 3: determining whether age-associated cognitive changes can be explained by the joint influence of changes in brain anatomy and functional brain network organization
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Investigator: Hongyu An
Project Title: PET/MR attenuation correction
Date: December 21, 2021 at 5:17 pm
Request ID: D2007
Aim 1: To develop a deep learning based attenuation correct method for PET/MR imaging
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Investigator: Jin-Tai Yu
Project Title: Genome-wide association study of brain amyloid and tau deposition
Date: December 21, 2021 at 5:17 pm
Request ID: D2008
Aim 1: We aimed to do GWAS about different biomarkers in AD and other dementia disease, in order to find more meaningful SNPs
Aim 2: We aimed to explore the gene and protein undermine the SNPs about AD and other demential disease, especially about the amyloid and tau
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Investigator: Jorge J Llibre-Guerra
Project Title: Proposal for comparison between Dominantly Inherited Alzheimer Disease and sporadic early-onset Alzheimer’s disease.
Date: December 21, 2021 at 5:17 pm
Request ID: D2015
Aim 1: To compare clinical presentation, neuropsychological performance and cognitive decline rate between DIAD and sporadic EOAD.
Aim 2: To examine in vivo the regional distribution of tau, amyloid-β, brain glucose metabolism, and structural atrophy, as well as their relationships, in DIAD and sporadic EOAD.
Aim 3: To compare CSF biomarkers levels and rate of change in DIAD and sporadic EOAD.
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Investigator: Nure Alom Nobel
Project Title: Alzheimer’s Disease Detection Using Deep Learning.
Date: December 21, 2021 at 5:17 pm
Request ID: D2016
Aim 1: How Alzheimer’s Disease affects the human brain and what changes are made in the brain.
Aim 2: We can know whether a patient has AD or not.
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