Search Existing Data Requests

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: Simon Cox

Project Title: Predicting future dementia risk in asymptomatic 70-year-olds: a 17-year multimodal follow-up study.

Date: [153]

Request ID: D2434

Aim 1: To employ the summary data (a results table of coefficient) supporting a figure published by the Knight team (https://doi.org/10.1016/j.ebiom.2024.105080) to undestand the spatial similarities between ptau and cortical morhpometry of prospective dementia risk in the Lothian Birth Cohort 1936

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Investigator: Michael Guo

Project Title: Uncovering the genetic basis of cerebral amyloid angiopathy

Date: [153]

Request ID: D2435

Aim 1: To identify novel genetic variants associated with risk of amyloid angiopathy

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Investigator: Cyrus Raji

Project Title: The interaction between Body Mass Index and social and structural determinants of health in preclinical Alzheimer Disease

Date: [153]

Request ID: D2436

Aim 1: Understanding the interaction between SS-DIAD, body mass index, and AD biomarkers in preclinical AD: to understand whether BMI mediates the link between SS-DIAD and AD pathology.

Aim 2: To investigate whether the link between SS-DIAD, AD biomarkers, and BMI varies based on CDR status and age (middle-aged vs. elderly)

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Investigator: Marta Stojanovic

Project Title: Affective response to exercise in middle-aged and older adults

Date: [153]

Request ID: D2437

Aim 1: investigate how cognitive processes, such as cognitive control, predict affective response to exercise

Aim 2: investigate how functional connectivity of the cognitive control and reward processing networks predict affective response to exercise

Aim 3: examine whether these relationships are moderated by AD pathology

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Investigator: Yi Su

Project Title: Tracer harmonization for amyloid and tau PET imaging using statistical and deep learning techniques

Date: [153]

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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Investigator: Jianping Jia

Project Title: Influence of Lifestyle, Environmental Factors, and Genetic Drive on Neurodegenerative Pathogenesis and Brain Health

Date: [153]

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: Tharick A. Pascoal and Suzanne L. Baker

Project Title: Longitudinal multicenter head-to-head harmonization of tau PET tracers (HEAD Study)

Date: [153]

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: Gengsheng Chen

Project Title: Proteomics of CSF identified by the structural MRI associated with the integrated biological and clinical staging of AD

Date: [153]

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: Mulin Jun Li

Project Title: Identify candidate drug targets based on multi-omic profiles in AD

Date: [153]

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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: Christiane Reitz

Project Title: Genetic and neuroanatomical basis of neuropsychiatric symptoms in Alzheimer’s disease in populations of diverse ancestry

Date: [153]

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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.