Environmental Science & Technology · 2017 · 142 citations · 26 references
Public HealthEnvironmental SciencesUrban HealthAir PollutionEnvironmental HealthEpidemiologic MethodsAir Pollution EpidemiologyAir QualityExposure AssessmentInflammatory BiomarkersInflammatory MediatorsParticulate MatterAir Pollution BiomarkersCoagulation BiomarkersFine Particulate MatterFine Particulate Organic MatterLinear Mixed ModelsMonocyte Chemoattractant Protein-1Pm2.5Vascular Cell Adhesion Molecule 1
Limited evidence is available on the effects of various fine particulate matter (PM 2.5 ) constituents on blood inflammation and coagulation. We examined the associations between 10 constituents and 10 circulating biomarkers in a panel of 28 urban residents with four repeated measurements in Shanghai, China. Based on the linear mixed-effect models, we fitted the single-constituent models, the constituent-PM 2.5 joint models, and the constituent-residual models to evaluate the associations between PM 2.5 constituents and eight inflammatory biomarkers (fibrinogen, C-reactive protein, monocyte chemoattractant protein-1, tumor necrosis factor-α, interleukin-1b, intercellular adhesion molecule-1, P-selectin, vascular cell adhesion molecule-1) and two coagulation biomarkers (plasminogen activator inhibitor-1 and soluble CD40 ligand). We found robust associations of organic carbon (OC), elemental carbon (EC), nitrate (NO 3 – ), and ammonium (NH 4 + ) with at least 1 of 8 inflammatory markers. On average, an interquartile range increase in the four constituents corresponded to increments of 50%, 37%, 25%, and 26% in inflammatory biomarkers, respectively. Only sulfate (SO 4 2– ) or NH 4 + was robustly associated with coagulation markers (corresponding increments: 23% and 20%). Our results provided evidence that some constituents in PM 2.5 (OC, EC, NO 3 –, SO 4 2–, and NH 4 + ) might play crucial roles in inducing systematic inflammation and coagulation, but their roles varied by the selected biomarkers.
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Kai-Jen Chuang, Chang‐Chuan Chan, Ta‐Chen Su et al. · American Journal of Respiratory and Critical Care Medicine · 2007 · 689 citations