This project assesses associations between ambient air pollution exposures and vascular phenomena, integrating air pollution epidemiology, exposure assessment, and applied statistical techniques. The proposal aims to further understanding of the patterns and biologic mechanisms underlying the relationship between air pollution and cardiovascular disease. This project will investigate acute and chronic effects of ai pollution on cellular adhesion molecules and on the microvasculature, as measured via retinal photographs. This research utilizes a large, existing, multi-center US cohort with well-characterized health measures and state-of-the-art air pollution exposure predictions. Design of the study allows assessment of microvasculature longitudinally as well as characterization the interrelationship between air pollution exposure, microvascular changes, adhesion molecules, and cardiovascular events via mediation analysis (causal modeling). This research and corresponding training plan will provide experience in advanced statistical methods, biological measurement techniques, and cardiovascular pathophysiology through a combination of formal coursework, independent study, and applied research.

Public Health Relevance

Air pollution exposure has been linked to cardiovascular disease, but this relationship is not well understood. There is a need to better characterize the biologic effects of air pollution exposure. This project investigates how air pollution may affect the cardiovascular system by analyzing the relationship between pollution exposures and both circulating cellular adhesion molecules as well as changes in retinal microvasculature in a large US-based cohort.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
5F31ES025092-03
Application #
9234011
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Boyles, Abee
Project Start
2015-03-15
Project End
2018-03-14
Budget Start
2017-03-15
Budget End
2018-03-14
Support Year
3
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Washington
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Young, Michael T; Bechle, Matthew J; Sampson, Paul D et al. (2016) Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression. Environ Sci Technol 50:3686-94