Pre- and postshift levels of inflammatory biomarkers and DNA damage in non-bitumen-exposed construction workers-subpopulation of the German Human Bitumen Study.
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.
Institute for Prevention and Occupational Medicine of the German Social Accident Insurance-Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany. kendzia@ipadguv.de
Benjamin
B
Kendzia
Beate
B
Pesch
Boleslaw
B
Marczynski
Anne
A
Lotz
Peter
P
Welge
Hans-Peter
HP
Rihs
Thomas
T
Brüning
Monika
M
Raulf-Heimsoth
D000328:Adult; D000368:Aged; D017304:Annexin A5 / Q000633:toxicity; D017209:Apoptosis / Q000187:drug effects; D015415:Biomarkers / Q000032:analysis*; D001773:Blood Cells / Q000737:chemistry; D002940:Circadian Rhythm; D060389:Construction Industry; D016207:Cytokines / Q000097:blood; D004249:DNA Damage; D005434:Flow Cytometry; D005858:Germany / Q000453:epidemiology; D006801:Humans; D007249:Inflammation / Q000378:metabolism*; D008297:Male; D008875:Middle Aged; D017817:Nasal Lavage Fluid / Q000737:chemistry; D016273:Occupational Exposure / Q000009:adverse effects / Q000706:statistics & numerical data; D012907:Smoking / Q000009:adverse effects / Q000453:epidemiology; D013183:Sputum / Q000737:chemistry; D055815:Young Adult
D017304:Annexin A5; D015415:Biomarkers; D016207:Cytokines