# Project 1: Biomarkers for Characterizing and Predicting AD in DS

> **NIH NIH U19** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2020 · $2,098,042

## Abstract

Project 1 Abstract
An overarching theme of the Alzheimer's Disease Biomarkers-Down syndrome (ABC-DS) program is to
characterize Alzheimer disease (AD) in Down syndrome (DS) and to determine if it has a pathological
progression comparable to late onset AD (LOAD) and thus can inform translational research focused on
prevention and treatment for all people with AD. People with DS are at extremely high risk of AD in middle age
due, at least in large measure, to lifelong overexpression of the gene coding for APP, located on Chr. 21. A
hypothesized model has been proposed for LOAD consisting of early amyloid (A) deposition followed by tau (T)
deposition and then neurodegeneration (N) (AT(N)). Inflammation and cerebrovascular disease (CVD) are more
common in adults with DS and may modify the AT(N) framework. Project 1 utilizes outcomes collected by ABC-
DS Cores to follow the conversion of adults with DS from when they are clinically unaffected by AD to progression
of incident MCI-DS and subsequent dementia. This project will determine if the AT(N) framework is descriptive
of AD progression in adults with DS and, if different, in what way. A second priority is to determine if AD risk and
progression is modified by certain risk factors. Aim 1 examines the AT(N) framework with regard to the
development of symptomatic cognitive decline (MCI-DS/Dementia). We hypothesize that early changes in
amyloid (A) are followed by changes in neurofibrillary pathology (T) and then changes in neurodegeneration (N).
We predict the overall sequence of events that leads to symptomatic cognitive decline in DS is similar to AD in
other at risk AD populations but quantitative differences will be present in the time span over which these events
occur. Aim 2 examines the contribution of selected factors that modify the risk or progression to cognitive decline
(MCI-DS/dementia) and in the AT(N) framework to lead to individual variability in DS. We hypothesize that
inflammatory changes and cerebrovascular disease (CVD) modify the risk of amyloid and tau deposition.
Furthermore, we hypothesize that sex and commonly co-occurring medical conditions (e.g. seizures,
hyperlipidemia, obesity, and sleep apnea) may contribute to the heterogeneity in the age at onset of MCI-DS
and/or the rate of progression from MCI-DS to dementia. Aim 3 examines select factors that contribute to within-
population variability in AD vulnerability in collaboration with Projects 2 and 3. Results from this Project could
contribute to efforts to discover effective intervention(s) within this high risk population and for AD more broadly.

## Key facts

- **NIH application ID:** 10037883
- **Project number:** 1U19AG068054-01
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Beau M Ances
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $2,098,042
- **Award type:** 1
- **Project period:** 2020-09-30 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10037883

## Citation

> US National Institutes of Health, RePORTER application 10037883, Project 1: Biomarkers for Characterizing and Predicting AD in DS (1U19AG068054-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10037883. Licensed CC0.

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