Age modification of ozone associations with cardiovascular disease risk in adults: a potential role for soluble P-selectin and blood pressure.

Abstract

Background

Studies have suggested that age increases susceptibility to ozone-associated mortality, but the underlying mechanisms are unclear. In a previous study, personal exposure to ozone was significantly associated with a platelet activation biomarker, plasma soluble P-selectin (sCD62P), and blood pressure in 89 healthy adults, aged 22-52 years. The present study examines whether age modifies these associations in the same adults and in additional adults.

Methods

Interaction terms of age and exposure were analyzed using hierarchical Bayesian mixed effects ridge regressions. Data from a similar additional study involving 71 healthy participants, aged 19-26 years, were pooled with the data from the first study to evaluate age effect modification when more young adults were added to the analysis.

Results

In the 89 adults, significant age interactions were observed for past 24-hour and 2-week ozone exposures and sCD62P. Based on the pooled data (89 plus 71 adults), a 10 ppb increase in 24-hour ozone exposure was associated with increases in sCD62P and systolic blood pressure (SBP) by 22.3% (95% CI: 14.3%, 31.2%) and 1.35 (-0.18, 2.84) mmHg, respectively, at age 25; these values increased to 48.6% (32.7%, 65.1%) and 4.98 (2.56, 7.35) mmHg, respectively, at age 40.

Conclusions

These results mechanistically suggest that increasing age enhances cardiovascular effects of ozone.

Department

Description

Provenance

Subjects

Ozone, aging, biomarker, cardiovascular, mechanism

Citation

Published Version (Please cite this version)

10.21037/jtd.2018.06.135

Publication Info

Day, Drew B, Merlise A Clyde, Jianbang Xiang, Feng Li, Xiaoxing Cui, Jinhan Mo, Jicheng Gong, Charles J Weschler, et al. (2018). Age modification of ozone associations with cardiovascular disease risk in adults: a potential role for soluble P-selectin and blood pressure. Journal of thoracic disease, 10(7). pp. 4643–4652. 10.21037/jtd.2018.06.135 Retrieved from https://hdl.handle.net/10161/33743.

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Scholars@Duke

Clyde

Merlise Clyde

Professor of Statistical Science

Model uncertainty and choice in prediction and variable selection problems for linear, generalized linear models and multivariate models. Bayesian Model Averaging. Prior distributions for model selection and model averaging. Wavelets and adaptive kernel non-parametric function estimation. Spatial statistics. Experimental design for nonlinear models. Applications in proteomics, bioinformatics, astro-statistics, air pollution and health effects, and environmental sciences.

Zhang

Junfeng Zhang

Professor of Global and Environmental Health

Dr. Zhang joined the Duke Faculty in fall 2013 from the University of Southern California where he had been a professor of environmental and global health and the director of Environmental and Biomarkers Analysis Laboratory since 2010. His prior positions include professor, department chair, and associate dean at the Rutgers School of Public Health. Dr. Zhang has more than 290 peer-reviewed publications. His work has been featured in major international media such as the Time, the New York Times, BBC, ABC, CBS, Yahoo News, etc. His early work on characterizing sources of non-methane greenhouse gases made him one of the officially recognized contributor to the 2007 Nobel Peace Prize awarded to IPCC. He is the 2012 recipient of the Jeremy Wesolowski Award, the highest award of the International Society of Exposure Science. He also received a Distinguished Alumni Award from the Rutgers Graduate School.

Dr. Zhang’s research interests include developing novel biomarkers of human exposure and health effects, assessing health and climate co-benefits of air pollution interventions, and examining biological mechanisms by which environmental exposures exert adverse health effects. Dr. Zhang has led a number of international collaborations to study air pollution health effects and underlying pathophysiologic mechanisms. These studies integrate epidemiological and toxicological approaches into natural experiment designs. He has conducted several indoor air purification intervention studies to evaluate the effectiveness of personal exposure reduction in improving health outcomes in China. Currently, he is conducting intervention trials of residential air purification in older adults with a heart disease history and adults at risk for Type 2 diabetes living in Los Angels where air pollution levels are high. He is co-leading a project to study whether and how particulate matter pollution affects respiratory viral infections in two cities of Mongolia. 


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