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Wood smoke particles from different combustion phases induce similar pro-inflammatory effects in a co-culture of monocyte and pneumocyte cell lines

Overview of attention for article published in Particle and Fibre Toxicology, November 2012
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Title
Wood smoke particles from different combustion phases induce similar pro-inflammatory effects in a co-culture of monocyte and pneumocyte cell lines
Published in
Particle and Fibre Toxicology, November 2012
DOI 10.1186/1743-8977-9-45
Pubmed ID
Authors

Anette Kocbach Bølling, Annike Irene Totlandsdal, Gerd Sallsten, Artur Braun, Roger Westerholm, Christoffer Bergvall, Johan Boman, Hans Jørgen Dahlman, Maria Sehlstedt, Flemming Cassee, Thomas Sandstrom, Per E Schwarze, Jan Inge Herseth

Abstract

Exposure to particulate matter (PM) has been linked to several adverse cardiopulmonary effects, probably via biological mechanisms involving inflammation. The pro-inflammatory potential of PM depends on the particles' physical and chemical characteristics, which again depend on the emitting source. Wood combustion is a major source of ambient air pollution in Northern countries during the winter season. The overall aim of this study was therefore to investigate cellular responses to wood smoke particles (WSPs) collected from different phases of the combustion cycle, and from combustion at different temperatures.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 25%
Student > Ph. D. Student 22 20%
Student > Master 16 15%
Student > Doctoral Student 8 7%
Professor > Associate Professor 5 5%
Other 20 18%
Unknown 12 11%
Readers by discipline Count As %
Environmental Science 24 22%
Agricultural and Biological Sciences 14 13%
Medicine and Dentistry 9 8%
Engineering 8 7%
Chemistry 6 5%
Other 28 25%
Unknown 21 19%