# Clinical Core

> **NIH NIH P30** · UNIVERSITY OF WASHINGTON · 2022 · $1,335,005

## Abstract

Abstract
The University of Washington (UW) Alzheimer Disease Research Center (ADRC) Clinical Core is a valuable
component the center's overall aim of supporting meaningful and innovative ADRD research. Advances in
human genetics, pathological and imaging technologies have revealed the biological diversity of ADRD. The
UW Clinical Core aims to capture this spectrum of ADRD heterogeneity in its longitudinal cohort to support
multi-modal study of participants. Sensitive phenotyping is critical to the interpretation of post-mortem
pathology and ante-mortem imaging heterogeneity. To that end, we have expanded our neuropsychological
evaluation to identify relative vulnerable and resilient cognitive domains. Acknowledging that effective ADRD
therapies for all requires improving study of ADRD in under-represented groups, we have developed a strategy
with our Outreach Recruitment and Engagement Core to enhance the diversity of our ADRC. Over the last 5
years the UW ADRC has built a strong collaborative relationship with the Partners for Native Health, led by Dr.
Dedra Buchwald. In this cycle we continue this effort through developing consensus algorithms for longitudinal
cognitive and clinical data collected by Dr. Buchwald's team. Additionally, we work with the UW ADRC's
Native Research and Resource Core (NRRC) to build upon data derived from community based participatory
research approaches in the AI/AN population and develop community sensitive uniform ADRD clinical
evaluations. The rationale driving the Clinical Core composition is to a) reflect the UW ADRC scientific theme
of heterogeneity and resilience b) respond to the scientific needs of the ADRC research community and c)
increase the racial, socioeconomic and educational attainment diversity of the Clinical Core. In this cycle, the
Clinical Core will 1) Characterize clinically and follow longitudinally persons with normal aging, prodromal and
symptomatic ADRD representing the clinical, anatomic and risk heterogeneity of disease, and promote their
inclusion into research 2) Promote the inclusion of underrepresented groups in ADRD research and collaborate
to establish diagnostic algorithms in AI/AN studies 3) Use modern psychometric approaches to co-calibrate
cognitive scores across UDS, pre-enrollment clinical tests, and external studies to integrate pre-enrollment
cognitive data and facilitate interoperability across and 4) obtain longitudinal CSF, blood and skin
biospecimens from a well-characterized cohort of research participants presenting with normal and
pathological aging, prodromal dementia and ADRD.

## Key facts

- **NIH application ID:** 10433867
- **Project number:** 5P30AG066509-03
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** SUMAN JAYADEV
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,335,005
- **Award type:** 5
- **Project period:** 2020-06-01 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10433867

## Citation

> US National Institutes of Health, RePORTER application 10433867, Clinical Core (5P30AG066509-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10433867. Licensed CC0.

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