Inflammation and acute traffic-related air pollution exposures among a cohort of youth with type 1 diabetes. (November 2019)

• Record Type: Journal Article
• Authors: Puett, Robin C.; Yanosky, Jeff D.; Mittleman, Murray A.; Montresor-Lopez, Jessica; Bell, Ronny A.; Crume, Tessa L.; Dabelea, Dana; Dolan, Lawrence M.; D'Agostino, Ralph B.; Marcovina, Santica M.; Pihoker, Catherine; Reynolds, Kristi; Urbina, Elaine; Liese, Angela D.
• Is Part Of: Environment international. Volume 132(2019)
• Publication Date: 2019-11
• Subjects: Traffic-related air pollution -- Inflammation -- Diabetes; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2019.105064
• Languages: English
• ISSNs: 0160-4120

Abstract

Abstract: Background: Evidence remains equivocal regarding the association of inflammation, a precursor to cardiovascular disease, and acute exposures to ambient air pollution from traffic-related particulate matter. Though youth with type 1 diabetes are at higher risk for cardiovascular disease, the relationship of inflammation and ambient air pollution exposures in this population has received little attention. Objectives: Using five geographically diverse US sites from the racially- and ethnically-diverse SEARCH for Diabetes in Youth Cohort, we examined the relationship of acute exposures to PM2.5 mass, Atmospheric Dispersion Modeling System (ADMS)-Roads traffic-related PM concentrations near roadways, and elemental carbon (EC) with biomarkers of inflammation including interleukin-6 (IL-6), c-reactive protein (hs-CRP) and fibrinogen. Methods: Baseline questionnaires and blood were obtained at a study visit. Using a spatio-temporal modeling approach, pollutant exposures for 7 days prior to blood draw were assigned to residential addresses. Linear mixed models for each outcome and exposure were adjusted for demographic and lifestyle factors identified a priori. Results: Among the 2566 participants with complete data, fully-adjusted models showed positive associations of EC average week exposures with IL-6 and hs-CRP, and PM2.5 mass exposures on lag day 3 with IL-6 levels. Comparing the 25th and 75th percentiles of average week EC exposures resulted in 8.3% higher IL-6 (95%CI: 2.7%, 14.3%) and 9.8% higher hs-CRP (95%CI: 2.4%, 17.7%). We observed some evidence of effect modification for the relationships of PM2.5 mass exposures with hs-CRP by gender and with IL-6 by race/ethnicity. Conclusions: Indicators of inflammation were associated with estimated traffic-related air pollutant exposures in this study population of youth with type 1 diabetes. Thus youth with type 1 diabetes may be at increased risk of air pollution-related inflammation. These findings and the racial/ethnic and gender differences observed deserve further exploration. Highlights: In youth with T1 diabetes, EC average week exposures were positively associated with IL-6 and hs-CRP. Overall, fibrinogen was not associated with acute traffic-related air pollution exposures. Potential effect modification by race/ethnicity and gender