Lena S Jönsson1, Jørn Nielsen, Karin Broberg. 1. Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University Hospital, 221 85, Lund, Sweden.
Abstract
PURPOSE: To identify changes in gene expression in the airways among welders, with and without lower airway symptoms, working in black steel. METHODS: Included were 25 male, non-smoking welders. Each welder was sampled twice; before exposure (after vacation), and after 1 month of exposure. From the welders (14 symptomatic, of whom 7 had asthma-like symptoms), RNA from induced sputum was obtained for gene expression analysis. Messenger RNA from a subset of the samples (n = 7) was analysed with microarray technology to identify genes of interest. These genes were further analysed using quantitative PCR (qPCR; n = 22). RESULTS: By comparing samples before and after exposure, the microarray analysis resulted in several functional annotation clusters: the one with the highest enrichment score contained "response to wounding", "inflammatory response" and "defence response". Seven genes were analysed by qPCR: granulocyte colony-stimulating factor 3 receptor (CSF3R), superoxide dismutase 2, interleukin 8, glutathione S-transferase pi 1, tumour necrosis factor alpha-induced protein 6 (TNFAIP6), interleukin 1 receptor type II and matrix metallopeptidase 25 (MMP25). Increased levels of CSF3R, TNFAIP6 and MMP25 were indicated among asthmatic subjects compared to non-symptomatic subjects, although the differences did not reach significance. CONCLUSIONS: Workers' exposure to welding fumes changed gene expression in the lower airways in genes involved in inflammatory and defence response. Thus, microarray and qPCR technique can demonstrate markers of exposure to welding fumes and possible disease-related markers. However, further studies are needed to verify genes involved and to further characterise the mechanism for welding fumes-associated lower airway symptoms.
PURPOSE: To identify changes in gene expression in the airways among welders, with and without lower airway symptoms, working in black steel. METHODS: Included were 25 male, non-smoking welders. Each welder was sampled twice; before exposure (after vacation), and after 1 month of exposure. From the welders (14 symptomatic, of whom 7 had asthma-like symptoms), RNA from induced sputum was obtained for gene expression analysis. Messenger RNA from a subset of the samples (n = 7) was analysed with microarray technology to identify genes of interest. These genes were further analysed using quantitative PCR (qPCR; n = 22). RESULTS: By comparing samples before and after exposure, the microarray analysis resulted in several functional annotation clusters: the one with the highest enrichment score contained "response to wounding", "inflammatory response" and "defence response". Seven genes were analysed by qPCR: granulocyte colony-stimulating factor 3 receptor (CSF3R), superoxide dismutase 2, interleukin 8, glutathione S-transferase pi 1, tumour necrosis factor alpha-induced protein 6 (TNFAIP6), interleukin 1 receptor type II and matrix metallopeptidase 25 (MMP25). Increased levels of CSF3R, TNFAIP6 and MMP25 were indicated among asthmatic subjects compared to non-symptomatic subjects, although the differences did not reach significance. CONCLUSIONS: Workers' exposure to welding fumes changed gene expression in the lower airways in genes involved in inflammatory and defence response. Thus, microarray and qPCR technique can demonstrate markers of exposure to welding fumes and possible disease-related markers. However, further studies are needed to verify genes involved and to further characterise the mechanism for welding fumes-associated lower airway symptoms.
Authors: Craig M Lilly; Hiroki Tateno; Tsuyoshi Oguma; Elliot Israel; Larry A Sonna Journal: Am J Respir Crit Care Med Date: 2004-12-23 Impact factor: 21.405
Authors: Rosanna Forteza; Susana M Casalino-Matsuda; Maria Elena Monzon; Erik Fries; Marilyn S Rugg; Caroline M Milner; Anthony J Day Journal: Am J Respir Cell Mol Biol Date: 2006-07-27 Impact factor: 6.914
Authors: Zhaoxi Wang; Donna Neuberg; Li Su; Jee Young Kim; Jiu-Chiuan Chen; David C Christiani Journal: Inhal Toxicol Date: 2008-11 Impact factor: 2.724
Authors: F Colotta; F Re; M Muzio; R Bertini; N Polentarutti; M Sironi; J G Giri; S K Dower; J E Sims; A Mantovani Journal: Science Date: 1993-07-23 Impact factor: 47.728
Authors: Maria Hedmer; Jan-Eric Karlsson; Ulla Andersson; Helene Jacobsson; Jörn Nielsen; Håkan Tinnerberg Journal: Int Arch Occup Environ Health Date: 2013-08-25 Impact factor: 3.015
Authors: Lena S Jönsson; Håkan Tinnerberg; Helene Jacobsson; Ulla Andersson; Anna Axmon; Jørn Nielsen Journal: Int Arch Occup Environ Health Date: 2015-03-06 Impact factor: 3.015
Authors: Katrin Dierschke; Christina Isaxon; Ulla B K Andersson; Eva Assarsson; Anna Axmon; Leo Stockfelt; Anders Gudmundsson; Bo A G Jönsson; Monica Kåredal; Jakob Löndahl; Joakim Pagels; Aneta Wierzbicka; Mats Bohgard; Jörn Nielsen Journal: Int Arch Occup Environ Health Date: 2017-03-03 Impact factor: 3.015
Authors: Neserin Ali; Stefan Ljunggren; Helen M Karlsson; Aneta Wierzbicka; Joakim Pagels; Christina Isaxon; Anders Gudmundsson; Jenny Rissler; Jörn Nielsen; Christian H Lindh; Monica Kåredal Journal: Clin Proteomics Date: 2018-05-11 Impact factor: 3.988