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: Marta Stojanovic
Project Title: Affective response to exercise in middle-aged and older adults
Date: September 12, 2024 at 12:16 pm
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: Cyrus Raji
Project Title: The interaction between Body Mass Index and social and structural determinants of health in preclinical Alzheimer Disease
Date: September 6, 2024 at 12:40 pm
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: Michael Guo
Project Title: Uncovering the genetic basis of cerebral amyloid angiopathy
Date: August 29, 2024 at 9:23 pm
Request ID: D2435
Aim 1: To identify novel genetic variants associated with risk of amyloid angiopathy
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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: August 23, 2024 at 5:19 am
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: Gregory Klein
Project Title: Copathologies in AD
Date: August 22, 2024 at 5:00 am
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Aim 1: Our aim is to reproduce the results from the Tosun et al. paper 2023, and to use the data to train a multi-labels classifier for copathologies in AD.
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Investigator: Alvin G. Thomas
Project Title: Genomics and Proteomics of Cognitive Resilience to AD
Date: August 21, 2024 at 3:05 pm
Request ID: D2433
Aim 1: Develop a theory-consistent measure of cognitive resilience using Knight ADRC psychometrics, brain imaging, and fluid biomarkers.
Aim 2: Identify plasma and cerebrospinal fluid (CSF) biomarkers associated with cognitive resilience using high-sensitivity proteomic measures obtained by the Alamar platform.
Aim 3: Perform cross-tissue proteomic analyses to elucidate the biology of cognitive resilience.
Aim 4: Identify genomic loci associated with cognitive resilience through genome-wide association study and proteogenomic analysis.
Investigator: Yiping Qian
Project Title: Predict the conversion from SCD to MCI using CSF and plasma biomarkers
Date: August 15, 2024 at 9:23 am
Request ID: D2432
Aim 1: This study aims to develop a machine learning model to predict the conversion to MCI within ten years in patients with SCD using clinical data of cerebrospinal fluid (CSF) biomarkers, plasma biomarkers, neuropsychological test scores, and demographic data.
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Investigator: Gregory Klein
Project Title: Copathologies in AD
Date: August 15, 2024 at 3:45 am
Request ID: D2431
Aim 1: We aim to reproduce the results from the paper from Tosun et Al 2023: building a multilabel classifier for copathologies in AD. We were instructed by Dr Tammie Bensinger to apply for this data through the portal.
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Investigator: Ellen Grober
Project Title: The Free and Cued Selective Reminding Consortium
Date: August 12, 2024 at 1:29 pm
Request ID: D2430
Aim 1: To assess the cross-sectional relationship and the predictive validity of SOMI stage for clinical outcomes in longitudinal observational studies.
Aim 2: To examine the association of SOMI stage with baseline load of fluid and imaging biomarkers and longitudinal change in AD-biomarkers.
Aim 3: To replicate the temporal unfolding of memory and executive function in a large and diverse cohort.
Aim 4: To determine whether longitudinal change in memory or executive function measures is differentially associated with amyloid vs. tau biomarkers.
Investigator: You Cheng
Project Title: Association of CSF AD biomarker and brain MRI signatures
Date: August 9, 2024 at 4:42 am
Request ID: D2429
Aim 1: Investigate the association of CSF AD biomarker and brain volumes
Aim 2: Investigate sex differences in the association of CSF AD biomarker and brain volumes
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