Pre- and postshift levels of inflammatory biomarkers and DNA damage in non-bitumen-exposed construction workers-subpopulation of the German Human Bitumen Study

J Toxicol Environ Health A. 2012;75(8-10):533-43. doi: 10.1080/15287394.2012.675304.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Annexin A5 / toxicity
  • Apoptosis / drug effects
  • Biomarkers / analysis*
  • Blood Cells / chemistry
  • Circadian Rhythm
  • Construction Industry*
  • Cytokines / blood
  • DNA Damage*
  • Flow Cytometry
  • Germany / epidemiology
  • Humans
  • Inflammation / metabolism*
  • 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

Substances

  • Annexin A5
  • Biomarkers
  • Cytokines