1. Pre- and postshift levels of inflammatory biomarkers and DNA damage in non-bitumen-exposed construction workers-subpopulation of the German Human Bitumen Study.
- Author
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Kendzia B, Pesch B, Marczynski B, Lotz A, Welge P, Rihs HP, Brüning T, and Raulf-Heimsoth M
- Subjects
- Adult, Aged, Annexin A5 toxicity, Apoptosis drug effects, Blood Cells chemistry, Circadian Rhythm, Cytokines blood, Flow Cytometry, Germany epidemiology, Humans, Male, Middle Aged, Nasal Lavage Fluid chemistry, Occupational Exposure adverse effects, Occupational Exposure statistics & numerical data, Smoking adverse effects, Smoking epidemiology, Sputum chemistry, Young Adult, Biomarkers analysis, Construction Industry, DNA Damage, Inflammation metabolism
- Abstract
Circadian variations in immune defense and tissue repair may interfere with shift effects of occupational exposure when investigating biomarkers in cross-shift studies. This investigation compared biomarkers of inflammation and DNA damage in 59 nonsmoking and 59 smoking male construction workers pre- (6-10 a.m.) versus postshift (4-7 p.m.). Cellular compositions were analyzed in blood, induced sputum (IS), and nasal lavage fluid (NALF) and soluble inflammatory biomarkers were analyzed in IS and NALF. DNA damage was measured as 8-oxo-7,8-dihydro-2'-deoxyguanosine (8-oxodGuo) adducts and DNA strand breaks (alkaline Comet assay) in white blood cells (WBC). Apoptosis was quantified as percent apoptotic cells by annexin V and 7-amino-actinomycin staining in blood lymphocytes using flow cytometry. In nonsmokers higher preshift than postshift levels of interleukin-8 (IL-8) in IS and more DNA strand breaks were detected. However, more DNA adducts were found postshift. Among smokers, the cellular composition of IS and NALF differed between pre- and postshift samples, in particular more neutrophils pre- than postshift. In contrast, more cells in early apoptosis were observed post shift in both smokers and nonsmokers. These results indicate a potential influence of circadian rhythms on several biomarkers used in epidemiological studies. Data suggest interference with shift-work effects of occupational exposure in cross-shift studies and also the need to consider smoking as a modifying variable.
- Published
- 2012
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