Open AccessShort‐Term Exposure to Air Pollution and Biomarkers of Oxidative Stress: The Framingham Heart Study
Author(s) -
Li Wenyuan,
Wilker Elissa H.,
Dorans Kirsten S.,
Rice Mary B.,
Schwartz Joel,
Coull Brent A.,
Koutrakis Petros,
Gold Diane R.,
Keaney John F.,
Lin Honghuang,
Vasan Ramachandran S.,
Benjamin Emelia J.,
Mittleman Murray A.
Publication year - 2016
Publication title -
journal of the american heart association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.494
H-Index - 85
ISSN - 2047-9980
DOI - 10.1161/jaha.115.002742
Subject(s) - medicine , offspring , oxidative stress , cohort , framingham heart study , environmental health , air pollution , physiology , myeloperoxidase , creatinine , framingham risk score , pregnancy , disease , genetics , inflammation , biology , chemistry , organic chemistry
Background Short‐term exposure to elevated air pollution has been associated with higher risk of acute cardiovascular diseases, with systemic oxidative stress induced by air pollution hypothesized as an important underlying mechanism. However, few community‐based studies have assessed this association. Methods and Results Two thousand thirty‐five Framingham Offspring Cohort participants living within 50 km of the Harvard Boston Supersite who were not current smokers were included. We assessed circulating biomarkers of oxidative stress including blood myeloperoxidase at the seventh examination (1998–2001) and urinary creatinine‐indexed 8‐epi‐prostaglandin F 2α (8‐epi‐ PGF 2α ) at the seventh and eighth (2005–2008) examinations. We measured fine particulate matter ( PM 2.5 ), black carbon, sulfate, nitrogen oxides, and ozone at the Supersite and calculated 1‐, 2‐, 3‐, 5‐, and 7‐day moving averages of each pollutant. Measured myeloperoxidase and 8‐epi‐ PGF 2α were log e transformed. We used linear regression models and linear mixed‐effects models with random intercepts for myeloperoxidase and indexed 8‐epi‐ PGF 2α , respectively. Models were adjusted for demographic variables, individual‐ and area‐level measures of socioeconomic position, clinical and lifestyle factors, weather, and temporal trend. We found positive associations of PM 2.5 and black carbon with myeloperoxidase across multiple moving averages. Additionally, 2‐ to 7‐day moving averages of PM 2.5 and sulfate were consistently positively associated with 8‐epi‐ PGF 2α . Stronger positive associations of black carbon and sulfate with myeloperoxidase were observed among participants with diabetes than in those without. Conclusions Our community‐based investigation supports an association of select markers of ambient air pollution with circulating biomarkers of oxidative stress.