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: Jianping Jia
Project Title: Characterizing Ethnic Differences in CSF Biomarkers for Alzheimer’s Disease
Date: December 11, 2024 at 9:41 pm
Request ID: D2448
Aim 1: To characterize ethnic differences in CSF biomarker profiles (Aβ42, Aβ42/Aβ40, tau, p-tau) across Asian, White, and Black populations.
Aim 2: To establish standardized methods for harmonizing CSF biomarker data across different ethnic groups, analytical platforms, and laboratories.
Aim 3: To establish unified, cross-ethnic cutoff values for CSF AD biomarkers by integrating data from both populations.
Aim 4: To create and validate multimodal prediction models that integrate ethnicity-specific CSF biomarker profiles with other AD-related measures for more accurate diagnosis across diverse populations.
Investigator: Ruijin Lu
Project Title: Multi-scale air pollution exposure and its interaction with sleep on Alzheimer’s disease
Date: December 4, 2024 at 11:56 am
Request ID: D2446
Aim 1: Short-term (daily or weekly), mid-term (1-month) and long-term (1-year, 5-year and 10-year) residence-level air pollution exposures are associated with sleep parameters (e.g., sleep duration, efficiency and NREM sleep durations) under a non-parametric independence rank test framework.
Aim 2: to assess the role of air pollution exposure in the effects of sleep on AD amyloid biomarkers and cognitive assessments.
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Investigator: Sheng Chih Jin
Project Title: Identifying Genomic & Proteomic Signatures of Idiopathic Peripheral Neuropathy
Date: November 22, 2024 at 1:10 pm
Request ID: D2445
Aim 1: Characterize the proteomic landscape of iPN to identify blood plasma proteins capable of differentiating neuropathic samples from healthy controls
Aim 2: Define the underlying molecular mechanisms of iPN using an integrative analysis of genomic and proteomic data
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Investigator: Philip Payne
Project Title: Associations between Neighborhood- and Individual-level Social Determinants of Health and Alzheimer Disease Outcomes
Date: November 12, 2024 at 3:37 pm
Request ID: D2444
Aim 1: Determine if neighborhood-level measures of SDoH accurately reflect ADRC participant-reported SDoH.
Aim 2: Identify characteristics associated with disadvantaged socioeconomic status (SES) that affect AD outcomes.
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Investigator: Christiane Reitz
Project Title: Genetic and neuroanatomical basis of neuropsychiatric symptoms in Alzheimer’s disease in populations of diverse ancestry
Date: November 8, 2024 at 11:02 am
Request ID: D2443
Aim 1: SPECIFIC AIM 1: Enhance phenotypic resources for the ADSP-FUS and related genomics datasets by collating, harmonizing, and integrating neuropsychiatric symptom data
Aim 2: SPECIFIC AIM 2: Utilize the harmonized neuropsychiatric data to identify novel genetic risk factors associated with neuropsychiatric symptoms in AD.
Aim 3: SPECIFIC AIM 3. Identify the shared the genetic architecture of neuropsychiatric symptoms in AD and primary psychiatric disorders.
Aim 4: SPECIFIC AIM 4: Assess the role of ancestry effects in the etiology of neuropsychiatric symptoms in AD.
Investigator: Mulin Jun Li
Project Title: Identify candidate drug targets based on multi-omic profiles in AD
Date: November 7, 2024 at 6:28 am
Request ID: D2442
Aim 1: Develop deep learning models which can identify potential drug targets based on proteomics
Aim 2: Identify potential therapeutic targets by analyzing their network interactions and functional roles in disease progression
Aim 3: Identify variants affecting drug response
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Investigator: Gengsheng Chen
Project Title: Proteomics of CSF identified by the structural MRI associated with the integrated biological and clinical staging of AD
Date: November 1, 2024 at 11:39 am
Request ID: D2441
Aim 1: Identify proteins associated the cortical thickness and hippocampal volume using Knight ADRC and DIAN cohorts.
Aim 2: Test if the identified proteins in Aim1 associated with the integrated biological and clinical staging.
Aim 3: Test if the identified proteins in Aim1 associated with the integrated biological and clinical staging.
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Investigator: Tharick A. Pascoal and Suzanne L. Baker
Project Title: Longitudinal multicenter head-to-head harmonization of tau PET tracers (HEAD Study)
Date: October 31, 2024 at 12:31 pm
Request ID: D2440
Aim 1: Standardize the analysis of tau tracers, allowing datasets to be combined.
Aim 2: Compare their rates of longitudinal deposition to elucidate their advantages and limitations for research, trials, and practice.
Aim 3: Produce a benchmark dataset to be used by the scientific community to develop methods for PET quantification and harmonization.
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Investigator: Jianping Jia
Project Title: Influence of Lifestyle, Environmental Factors, and Genetic Drive on Neurodegenerative Pathogenesis and Brain Health
Date: October 10, 2024 at 7:54 am
Request ID: D2439
Aim 1: To identify and characterize novel proteomic signatures that correlate with early-stage and progressive dementia using advanced analytical methods.
Aim 2: To systematically evaluate the impact of specific lifestyle factors—such as diet, physical activity, and social engagement—on the incidence and progression of dementia.
Aim 3: To determine the predictive validity of established and emerging biomarkers in forecasting cognitive decline and dementia progression over longitudinal assessments.
Aim 4: To investigate the interactions between comorbidities (e.g., cardiovascular disease, diabetes) and dementia risk, focusing on their modulation of lifestyle intervention effectiveness.
Investigator: Yi Su
Project Title: Tracer harmonization for amyloid and tau PET imaging using statistical and deep learning techniques
Date: September 25, 2024 at 10:17 am
Request ID: D2438
Aim 1: Harmonize amyloid PET tracers
Aim 2: Harmonize tau PET tracers
Aim 3: Examine effect of multiple tracers in clinical trials
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