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Long-term effects of elemental composition of particulate matter on inflammatory blood markers in European cohorts

Hampel, Regina and Peters, Annette and Beelen, Rob and Brunekreef, Bert and Cyrys, Josef and de Faire, Ulf and de Hoogh, Kees and Fuks, Kateryna and Hoffmann, Barbara and Hüls, Anke and Imboden, Medea and Jedynska, Aleksandra and Kooter, Ingeborg and Koenig, Wolfgang and Künzli, Nino and Leander, Karin and Magnusson, Patrik and Männistö, Satu and Penell, Johanna and Pershagen, Göran and Phuleria, Harish and Probst-Hensch, Nicole and Pundt, Noreen and Schaffner, Emmanuel and Schikowski, Tamara and Sugiri, Dorothea and Tiittanen, Pekka and Tsai, Ming-Yi and Wang, Meng and Wolf, Kathrin and Lanki, Timo and Escape Transphorm study groups, . (2015) Long-term effects of elemental composition of particulate matter on inflammatory blood markers in European cohorts. Environment international, 82. pp. 76-84.

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Official URL: http://edoc.unibas.ch/dok/A6390997

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Abstract

Epidemiological studies have associated long-term exposure to ambient particulate matter with increased mortality from cardiovascular and respiratory disorders. Systemic inflammation is a plausible biological mechanism behind this association. However, it is unclear how the chemical composition of PM affects inflammatory responses.; To investigate the association between long-term exposure to elemental components of PM and the inflammatory blood markers high-sensitivity C-reactive protein (hsCRP) and fibrinogen as part of the European ESCAPE and TRANSPHORM multi-center projects.; In total, 21,558 hsCRP measurements and 17,428 fibrinogen measurements from cross-sections of five and four cohort studies were available, respectively. Residential long-term concentrations of particulate matter >10μm (PM10) and >2.5μm (PM2.5) in diameter and selected elemental components (copper, iron, potassium, nickel, sulfur, silicon, vanadium, zinc) were estimated based on land-use regression models. Associations between components and inflammatory markers were estimated using linear regression models for each cohort separately. Cohort-specific results were combined using random effects meta-analysis. As a sensitivity analysis the models were additionally adjusted for PM mass.; A 5ng/m(3) increase in PM2.5 copper and a 500ng/m(3) increase in PM10 iron were associated with a 6.3% [0.7; 12.3%] and 3.6% [0.3; 7.1%] increase in hsCRP, respectively. These associations between components and fibrinogen were slightly weaker. A 10ng/m(3) increase in PM2.5 zinc was associated with a 1.2% [0.1; 2.4%] increase in fibrinogen; confidence intervals widened when additionally adjusting for PM2.5.; Long-term exposure to transition metals within ambient particulate matter, originating from traffic and industry, may be related to chronic systemic inflammation providing a link to long-term health effects of particulate matter.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Air Pollution and Health (Künzli)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Air Pollution and Health (Künzli)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Genetic Epidemiology of Non-Communicable Diseases (Probst-Hensch)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Genetic Epidemiology of Non-Communicable Diseases (Probst-Hensch)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Environmental Exposures and Health > Physical Hazards and Health (Röösli)
UniBasel Contributors:de Hoogh, Kees and Künzli, Nino and Phuleria, Harish Chandra and Probst Hensch, Nicole and Schaffner, Emmanuel and Schikowski, Tamara and Tsai, Ming
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Elsevier
ISSN:0160-4120
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:12 Sep 2018 14:07
Deposited On:03 Jul 2015 08:53

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