# Novel imaging and endothelial biomarkers of small vessel cerebrovascular disease

> **NIH NIH UH3** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2020 · $1,179,037

## Abstract

Project Summary /Abstract
Small vessel cerebrovascular disease and Alzheimer's disease are the two most common causes of cognitive
decline in the elderly, but methods for determining the relative contributions of both these pathologies to
functional impairment, understanding their interactions, predicting progression and defining targets for clinical
trials remain underdeveloped. The overarching goal of this proposal is to further develop novel neuroimaging
and serologic biomarkers of cerebrovascular disease. Accomplishing this goal will improve early detection,
diagnosis, and prognosis of small vessel cerebrovascular disease in older subjects, and provide better targets
and outcome metrics for clinical trials. We propose to longitudinally study 400 well characterized older subjects
from ongoing projects at UCSF and UCD who present with a range of cerebrovascular burden and functional
decline. Our search for biomarkers will focus on novel neuroimaging variables and measures of endothelial
dysfunction. Our aims will address the relationships between these markers and measures of amyloid burden,
cognition, and change over time.

## Key facts

- **NIH application ID:** 9995035
- **Project number:** 5UH3NS100608-05
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Charles DeCarli
- **Activity code:** UH3 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,179,037
- **Award type:** 5
- **Project period:** 2016-09-30 → 2021-09-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9995035

## Citation

> US National Institutes of Health, RePORTER application 9995035, Novel imaging and endothelial biomarkers of small vessel cerebrovascular disease (5UH3NS100608-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9995035. Licensed CC0.

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