ISEE-0328 Background and Objective: Ambient particulate air pollution has been associated with biomarkers of pulmonary and systemic inflammation. In this study we examine if ambient particle levels are associated with exhaled nitric oxide (NO), a marker for pulmonary inflammation, in a sample of subjects with type 2 diabetes from the Boston Metropolitan area. Methods: This analysis is based on data from the first 37 participants who completed an ongoing repeated measures study that started in September 2006. Breath samples were collected during bi-weekly clinic visits. Hourly fine particulate matter (PM2.5), sulfate (SO42-), Black Carbon (BC), and gases were measured at a central ambient monitoring station. Linear mixed models were used to examine the effects of an interquartile increase in air pollution on exhaled NO. The models contained random subject effects, fixed effects of gender, season, NO room air, and ambient pollution, and a first-order auto-regressive term. Results: The number of visits per subject ranged from two to five, with a total of 170 exhaled NO measurements. Ambient particle levels on the days preceding the clinic visit were consistently associated with levels of exhaled NO. A 4.1 μg/m3 increase in mean 48-hour PM2.5 level was associated with an increase of 0.87 ppb (0.19 to 1.56), and a 1.8 μg/m3 increase in mean 48-hour sulfate level was associated with an increase of 0.98 ppb (0.11 to 1.84) in exhaled NO. Associations with black carbon were similar. We found no associations between exhaled NO and ambient gases. Conclusion: These results suggest that in this population of diabetic subjects increased ambient levels of particulate air pollution are associated with changes in airway inflammatory status as measured by exhaled NO. This work is supported by funding from the NIEHS (ES-09825, RD-83241601).
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