An objective assessment of exposure to tobacco smoke may be accomplished by means of examining particular biomarkers in body fluids. The most common biomarker of tobacco smoke exposure is urinary, or serum, cotinine. In order to distinguish non-smokers from passive smokers and passive smokers from active smokers, it is necessary to estimate cotinine cut-off points. The objective of this article was to apply statistical distribution of urinary cotinine concentration to estimate cut-off points distinguishing the three above-mentioned groups. The examined group consisted of 327 volunteers (187 women and 140 men) who were ethnically homogenous inhabitants of the same urban agglomeration (Sosnowiec, Poland). The values which enabled differentiation of the examined population into groups and subgroups were as follows: 50 microg l(-1) (differentiation of non-smokers from passive smokers), 170 microg l(-1) (to divide the group of passive smokers into two subgroups: minimally and highly exposed to environmental tobacco smoke), 550 microg l(-1) (differentiation of passive smokers from active smokers), and 2100 microg l(-1) (to divide group of active smokers into two subgroups: minimally and highly exposed to tobacco smoke). The results suggest that statistical distribution of urinary cotinine concentration is useful for estimating urinary cotinine cut-off points and for assessing the smoking status of persons exposed to tobacco smoke.
Total plasma homocysteine (tHcy) and cysteine (tCys) levels are associated with cardiovascular diseases. One of the determinants that influence their levels is cigarette smoking. The aim of this study was to determine the relationship between plasma levels of both amino acids and urinary cotinine concentration as a reliable biomarker of tobacco smoke exposure. One hundred and seventeen volunteers (61 women and 56 men) aged 19–60 years (mean 40.3±11.0) were included in the study. The study subjects were qualified into non-smokers, passive smokers and active smokers based upon the urinary cotinine concentration. In each particular group, plasma tHcy and tCys levels were measured and evaluated in the whole population and separately in women and men. Statistically insignificant differences in plasma tHcy and tCys levels in the whole group of passive smokers in comparison with non-smokers were observed (11.47 vs. 10.94 μmol/l, p=0.414, and 253.0 vs. 266.9 μmol/l, p=0.163, respectively). However, statistically significant differences in plasma tHcy levels (13.29 vs. 10.94 μmol/l, p=0.011) and in plasma tCys levels (218.2 vs. 266.9 μmol/l, p<0.001) were found in the whole group of active smokers compared with nonsmokers. The Pearson's coefficient (r) for the correlation between plasma tHcy level and urinary cotinine concentration was r=0.630 (p<0.001) in the whole group of active smokers and r=0.480 (p=0.003) in the whole group of passive smokers. The correlation between plasma tCys level and urinary cotinine concentration in both study groups was insignificant. Similar results were obtained when calculated separately for men and women. The results suggest that cigarette smoking is a strong determinant of plasma tHcy level, but it is not a determinant of plasma tCys level.
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