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1.
Free Radic Res ; 35(3): 273-80, 2001 Sep.
Article in English | MEDLINE | ID: mdl-11697126

ABSTRACT

Numerous studies have investigated the urinary excretion of 8-hydroxy-2'-deoxyguanosine (8-OHdG) as a biomarker for the assessment of oxidative DNA damage in humans. In this study, we performed six consecutive series of measurement of urinary levels of 8-OHdG in 68 healthy probands, in order to provide information on the intra- and inter-individual variability of 8-OHdG and to estimate the influence of smoking, age, sex, body weight and body mass index (BMI) on the excretion of 8-OHdG. The intra-individual coefficient of variation (CV) of urinary 8-OHdG/24 h ranged from 0.18 to 1.06 (mean CV = 0.48). Women excreted significantly lower amounts of 8-OHdG/24 h than men, but the difference lost its significance when the body weight or urinary creatinine were used as covariates. By multiple linear regression analysis significant correlations between the mean individual levels of 8-OHdG/24 h excretion and urinary creatinine (rp = 0.61), and cotinine (rp = 0.27) have been observed, whereas no statistically significant effect of age, body weight and BMI was found. The 8-OHdG/creatinine ratio was found to be significantly increased in 23 smokers (1.95 +/- 0.40 mumol/mol) opposed to 45 non-smoking probands (1.62 +/- 0.50 mumol/mol), which is in good agreement with previously published data. No effect of passive smoking on the excretion of 8-OHdG was found. From our data we conclude that the intra-individual variability of urinary 8-OHdG excretion has been underestimated so far, indicating that values of 8-OHdG measured by single spot monitoring are not representative for individual base levels.


Subject(s)
Deoxyguanosine/analogs & derivatives , Deoxyguanosine/urine , 8-Hydroxy-2'-Deoxyguanosine , Adolescent , Adult , Aged , Body Mass Index , Body Weight , Chromatography, High Pressure Liquid/methods , Creatinine/urine , Female , Humans , Longitudinal Studies , Male , Middle Aged , Random Allocation , Smoking
2.
Cancer Epidemiol Biomarkers Prev ; 9(4): 373-80, 2000 Apr.
Article in English | MEDLINE | ID: mdl-10794481

ABSTRACT

In a field study with 69 subjects, we investigated the influence of smoking, exposure to environmental tobacco smoke (ETS), diet, and location of residence on biomarkers for polycyclic aromatic hydrocarbons (PAH), including urinary excretion of 1-hydroxypyrene and benzo[a]pyrene (BaP) adducts of hemoglobin and albumin. The self-reported smoking status and the extent of ETS exposure were verified by urinary cotinine measurements. ETS exposure was quantified by nicotine and 3-ethenylpyridine measurements on personal samplers worn by the nonsmokers over 5 or 7 days before blood and urine samples were collected. Smokers (n = 27), on average, excreted 0.346 microg/24 h 1-hydroxypyrene, whereas the corresponding value for nonsmokers (n = 42) was 0.157 microg/24 h. Average BaP adduct levels with hemoglobin and albumin were 0.105 fmol/mg and 0.042 fmol/mg, respectively, for smokers, and 0.068 fmol/mg and 0.020 fmol/mg, respectively, for nonsmokers. The differences, except for the hemoglobin adducts, were statistically significant. Of the 42 nonsmokers, 19 were classified as passive smokers. There was no significant difference in the PAH biomarkers between nonsmokers exposed to ETS and those not or rarely exposed to ETS. Total dietary BaP intake, as calculated from questionnaire data, did not correlate with any of the PAH biomarkers (r < 0.1). Subjects living in the suburbs tended to have higher BaP-protein adduct levels than subjects living in the city. Our findings suggest that diet and smoking are major sources for PAH exposure of persons not occupationally exposed to PAH, whereas the influence of ETS exposure is negligible. The lack of correlation between the dietary PAH intake and the PAH biomarkers may be due to the inaccuracy of the estimate for the dietary PAH intake.


Subject(s)
Polycyclic Aromatic Hydrocarbons/analysis , Smoking/adverse effects , Tobacco Smoke Pollution/adverse effects , Adolescent , Adult , Aged , Albumins/analysis , Albumins/metabolism , Biomarkers/analysis , Diet , Environmental Exposure/analysis , Female , Hemoglobins/analysis , Hemoglobins/metabolism , Housing , Humans , Male , Middle Aged , Rural Population , Sensitivity and Specificity , Tobacco Smoke Pollution/analysis , Urban Population
3.
Hum Exp Toxicol ; 18(4): 297-301, 1999 Apr.
Article in English | MEDLINE | ID: mdl-10333318

ABSTRACT

1. In order to elucidate the role of exposure to environmental tobacco smoke (ETS) in various acute and chronic illnesses in children, it is important to assess the degree of exposure by suitable methods. For this purpose, we determined the exposure to ETS in 39 children (4-15 years) and 43 adults (16+ years) by questionnaires, personal diffusion samplers for nicotine, and cotinine measurements in saliva and urine. In addition, the influence of the smoking status and the location of the home (urban or suburban) on the benzene exposure of the children was investigated. 2. On average, the 24 children living in homes with at least one smoker were exposed to ETS for 3.1 h/d. This is significantly longer (P<0.001) than the daily exposure time of the 15 children from nonsmoking homes (0.3 h/d). The nicotine concentrations on the personal samplers worn over 7 days were 0.615 and 0.046 microg/m3 for children from smoking and nonsmoking homes, respectively (P<0.001). Average salivary cotinine levels were 1.95 ng/ml in children from smoking homes and 0.11 ng/ml in children from nonsmoking homes (P< 0.01). The corresponding urinary cotinine levels were 29.4 and 4.5 ng/mg creatinine (P< 0.001). There was no difference in the extent of ETS exposure between children and adults from smoking households. Adults from nonsmoking homes tended to have higher ETS exposure than children from nonsmoking homes. 3. Exposure to benzene, which was determined by means of personal samplers, measurements of benzene in exhaled air and of the urinary benzene metabolite trans, trans-muconic acid, was not significantly related to the smoking status of the home but primarily dependent on the location of the home.


Subject(s)
Cotinine/analysis , Nicotine/analysis , Saliva/chemistry , Tobacco Smoke Pollution/statistics & numerical data , Adolescent , Adult , Air/analysis , Benzene/metabolism , Child , Child, Preschool , Cotinine/urine , Diffusion , Humans , Nicotine/metabolism , Sorbic Acid/analogs & derivatives , Sorbic Acid/analysis , Surveys and Questionnaires
5.
Mutat Res ; 368(3-4): 195-204, 1996 Jul 05.
Article in English | MEDLINE | ID: mdl-8692225

ABSTRACT

The urinary excretion of mutagens and thioethers was investigated in a controlled diet study and in two field studies. A diet containing charcoal-broiled meat and other items rich in mutagenic compounds increased the urinary mutagenicity as assessed in Salmonella typhimurium strain TA98 with metabolic activation approximately 46-fold compared to a diet low in mutagens. The excretion of thioethers after ingestion of the diet rich in mutagens also increased significantly when compared to the diet low in mutagens. The increase was associated with the content of preformed thioethers in the diet. In the first field study with 21 nonsmokers, urinary mutagenicity as assessed in Salmonella typhimurium strain TA98 and excretion of thioethers showed no relation to either the self-reported exposure to environmental tobacco smoke (ETS) or to serum cotinine concentrations used as an objective marker for ETS exposure. In the second field study, urinary mutagenicity was determined with a tobacco-smoke sensitive Salmonella typhimurium strain YG1024 with metabolic activation. No correlation was found between the mutagenic activity in urine and ETS exposure duration, nicotine on the personal sampler, cotinine in saliva and cotinine in urine. Our results suggest that real-life ETS exposure does not measurably increase either urinary mutagen or urinary thioether excretion. Furthermore, diet seems to be the most important source for both urinary mutagen and thioether excretion in nonsmokers.


Subject(s)
Diet , Mutagens/metabolism , Sulfides/urine , Tobacco Smoke Pollution/adverse effects , Adolescent , Adult , Child , Child, Preschool , Humans , Male , Middle Aged
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