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: Muhammad Ali
Project Title: Proteomic biomarkers of cognitive resilience in Alzheimer’s disease: Discovery, mechanistic prioritization, and validation in a longitudinal lifestyle intervention trial cohort
Date: July 21, 2026 at 1:04 pm
Request ID: D2647
Aim 1: Define the proteomic architecture of cognitive resilience in Alzheimer’s disease
Aim 2: Develop and analytically validate clinically translatable CSF and plasma proteomic biomarkers of cognitive resilience
Aim 3: Clinical translation of plasma-based AD resilience biomarkers and target prioritization
Aim 4:
Investigator: Dr. Jinnah
Project Title: Transcriptomic Analysis of Dystonia Subtypes and Healthy Controls Using RNA Sequencing
Date: July 21, 2026 at 10:45 am
Request ID: D2646
Aim 1: To analyze RNA sequencing data from dystonia subtypes and healthy controls to identify differentially expressed genes, dysregulated biological pathways, and molecular signatures associated with dystonia.
Aim 2:
Aim 3:
Aim 4:
Investigator: Zhixin Zhou
Project Title: Replication and Exploratory Analysis of Blood circRNA Patterns and Candidate Biomarkers in Alzheimer’s Disease
Date: July 17, 2026 at 2:23 am
Request ID:
Aim 1: Reproduce selected analyses from the published 34-circRNA study and examine circRNA expression patterns across clinical and biomarker-defined groups.
Aim 2: Characterize circRNA trends associated with progression from cognitively unimpaired status to symptomatic Alzheimer’s disease using de-identified longitudinal data.
Aim 3: Explore whether a small number of circRNAs show consistent and informative patterns that may support their prioritization as candidate biomarkers.
Aim 4: Explore whether a small set of candidate circRNAs may inform the future development of simpler and more rapid detection approaches.
Investigator: 徐佳蕊
Project Title: 基于公共血液蛋白组数据库和机器学习的阿尔兹海默病早期血液标志物筛选及临床验证
Date: July 13, 2026 at 10:32 am
Request ID:
Aim 1: 通过机器学习筛选出阿尔兹海默病早期血液标志物最佳组合
Aim 2:
Aim 3:
Aim 4:
Investigator: Junping Wang
Project Title: Structural Brain Correlates and Subtypes of Discordance Between Neurobiological Aging and Cognitive Decline in Alzheimer’s Disease
Date: July 10, 2026 at 7:03 pm
Request ID:
Aim 1: To identify structural brain changes associated with discordance between neurobiological aging and cognitive decline, define data-driven subtypes, and characterize their distinct clinical, imaging, and proteomic profiles in Alzheimer’s disease.
Aim 2:
Aim 3:
Aim 4:
Investigator: yingxiang huang
Project Title: Cell Type Aging Model
Date: July 10, 2026 at 2:45 pm
Request ID: D2645
Aim 1: Alamar has identified candidate biomarker signatures in our own targeted proteomic (NULISA) cohorts. We will use The Knight-ADRC proteomics as a large, harmonized, independent dataset to test these signatures — evaluating whether their constituent proteins associate with disease outcomes
Aim 2: We will also test and compare additional candidate signatures directly within The Knight-ADRC proteomics — alternative panels, published signatures, and cell-type aging signals — benchmarking them head-to-head against our own on the same cohorts.
Aim 3:
Aim 4:
Investigator: Annie J Lee
Project Title: Identifying Aging Subtypes through Machine Learning Integration of Longitudinal Clinical and High-Dimensional Omics Data
Date: July 2, 2026 at 12:27 pm
Request ID: D2644
Aim 1: External validation of TPClust in an independent longitudinal Alzheimer’s disease cohort
Aim 2:
Aim 3:
Aim 4:
Investigator: Yuguang Wang
Project Title: Oral–Brain Axis in Alzheimer’s Disease: Mechanisms, Biomarker Discovery, and Translational Potential
Date: June 30, 2026 at 10:41 am
Request ID:
Aim 1: Construct a longitudinal analytic framework integrating oral, clinical, cognitive, and biomarker data to investigate the oral–brain axis in Alzheimer’s disease.
Aim 2: Examine mechanistic links between oral microbial dysbiosis, host biological responses, and brain-related outcomes, including cognition, neurodegenerative biomarkers, and imaging phenotypes.
Aim 3: Discover and prioritize oral–brain biomarkers associated with Alzheimer’s disease onset and progression, with particular emphasis on markers that are measurable, reproducible, and biologically interpretable.
Aim 4: Assess the translational value of these biomarkers by building predictive and explanatory models for early detection, progression monitoring, and future clinically actionable applications.
Investigator: Gwang-Woo Jeong
Project Title: Women-focused morphometry of amygdalar and hippocampal subfields in Alzheimer’s disease
Date: June 25, 2026 at 7:41 am
Request ID:
Aim 1: To identify sex-specific volumetric signatures of amygdalar and hippocampal subfields that discriminate AD from cognitively normal women using FreeSurfer segmentation across multi-site cohorts.
Aim 2:
Aim 3:
Aim 4:
Investigator: Hosun Lee
Project Title: Plasma Proteomic Aging Models for a GLP-1 Obesity Clinical Trial
Date: June 24, 2026 at 9:52 pm
Request ID: D2643
Aim 1: Build a CellAge-style proteomic aging clock using Knight-ADRC SomaScan data.
Aim 2: Calculate cellular age gaps and check clinical relevance.
Aim 3: Set up a reference workflow for our clinical trial.
Aim 4: