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1.
Appl Occup Environ Hyg ; 18(12): 988-98, 2003 Dec.
Article in English | MEDLINE | ID: mdl-14612295

ABSTRACT

This article reports an extensive program to monitor individual personal exposures of subjects recruited for a study conducted in a Chinese occupational population to determine whether selected biological markers of exposure to benzene are reliable and sensitive enough to detect low-level benzene exposure in people. The monitoring program reported here was to assure an appropriate range of exposure for subject selection as well as to provide data for the exposure response assessment. The overall study resulted in correlation of the measured exposures with the measured concentrations of two minor urinary benzene metabolites, trans,trans-muconic acid and S-phenylmercapturic acid. The study design and evaluation of biological end points are presented in separate publications. Recruitment of 130 exposed subjects was based on personal exposure measurements collected with passive organic vapor monitors at weekly intervals for 3 to 4 weeks prior to collection of biological samples. Two monitors, side by side, were used for all of the personal monitoring in the first year of the study and about 10 percent of subsequent monitoring. One of each pair was analyzed immediately in Beijing at the Institute of Occupational Medicine, and the other was shipped to the United States and analyzed at the New York University Institute of Environmental Medicine. Exposure concentrations measured over 4-5 weeks were reasonably stable with average coefficients of variation of 0.58, 0.59, and 0.46 for benzene, toluene, and xylene, respectively. Benzene exposure averaged 10 +/- 13 ppm benzene with a median of 3.8 ppm for the recruited exposed workers. Excellent correlation was obtained between samples analyzed for benzene at the two laboratories. The extensive effort to document exposures was important to the exposure-response relationship demonstrated in the full study, which concluded that S-phenylmercapturic acid appears to be a good biomarker for detecting and evaluating benzene exposure at concentrations less than 0.25 ppm.


Subject(s)
Acetylcysteine/analogs & derivatives , Adhesives , Benzene/analysis , Biomarkers/urine , Industry , Occupational Exposure/analysis , Acetylcysteine/urine , Benzene/toxicity , China , Humans , Quality Control , Sensitivity and Specificity , Shoes , Toluene/toxicity , Toluene/urine , Xylenes/toxicity , Xylenes/urine
2.
Res Rep Health Eff Inst ; (115): 1-72; discussion 73-87, 2003 Jun.
Article in English | MEDLINE | ID: mdl-12931845

ABSTRACT

This study was conducted to validate biomarkers for early detection of benzene exposure and effect in 2 phases. The main purpose of phase 1 was to determine whether these biomarkers could reliably detect differences between workers with high exposure levels and unexposed subjects, which is the minimal screening criterion for a biomarker assay. Phase 2 of the study mainly focused on evaluating the exposure-response relation, confounding factors, and sensitivities of biomarkers for low benzene exposures. The Chinese occupational population studied had a broad range of benzene exposures. On the day of biological sample collection, exposures ranged from 0.06 to 122 ppm with a median exposure of 3.2 ppm. The median of the 4-week mean benzene exposures was 3.8 ppm, and the median lifetime cumulative exposure was 51.1 ppm-years. Compared with benzene levels in collected samples, toluene levels were relatively high, with a median of 12.6 ppm (mean, 26.3 ppm), but xylene levels were low, with a median of 0.30 ppm (mean, 0.40 ppm). The biomarkers evaluated were urinary metabolites S-phenylmercapturic acid (S-PMA*), trans,trans-muconic acid (t,t-MA), hydroquinone (HQ), catechol (CAT), and phenol; albumin adducts of benzene oxide and 1,4-benzoquinone (BO-Alb and 1,4-BQ-Alb, respectively) in blood; blood cell counts; and chromosomal aberrations. Blood cell counts in this population, including red blood cells (RBCs), white blood cells (WBCs), and neutrophils, decreased significantly with increased exposures but remained in normal ranges. Chromosomal aberration data showed significant increases of chromatid breaks and total chromosomal aberrations in exposed subjects compared with unexposed subjects. Among the urinary metabolites, the levels of S-PMA and t,t-MA were significantly elevated after benzene exposures. Both markers showed significant exposure-response trends even over the exposure range from 0 to 1 ppm. However, HQ, CAT, and phenol showed significant increases only for benzene exposure levels above 5 ppm. Multiple regression analyses of these urinary metabolites on benzene exposure indicated that toluene exposure, smoking status, and cotinine levels had no significant effects on urinary metabolite levels. A time-course study estimated the half-lives of S-PMA, t,t-MA, HQ, CAT, and phenol to be 12.8, 13.7, 12.7, 15.0, and 16.3 hours, respectively. Both BO-Alb and 1,4-BQ-Alb showed strong exposure-response associations with benzene. Regression analyses showed that after adjustment for potential confounding by smoking, there was still a strong association between benzene exposure and these markers. Furthermore, the analyses for correlations among biomarkers revealed that the urinary metabolites correlated substantially with each other. The albumin adducts also correlated well with the urinary biomarkers, especially with S-PMA. BO-Alb and 1,4-BQ adducts also correlated well with each other (r = 0.74). For benzene exposure monitoring, both S-PMA and t,t-MA were judged to be good and sensitive markers, which detected benzene exposures at around 0.1 ppm and 1 ppm, respectively. But S-PMA was clearly superior to t,t-MA as a biomarker for low levels of benzene exposure.


Subject(s)
Benzene Derivatives/toxicity , Biomarkers/analysis , Occupational Exposure/analysis , Adult , Animals , Benzene Derivatives/blood , Benzene Derivatives/urine , Blood Cell Count , China/epidemiology , Chromosome Aberrations , Female , Humans , Male , Occupational Exposure/statistics & numerical data
3.
Cancer Res ; 62(5): 1330-7, 2002 Mar 01.
Article in English | MEDLINE | ID: mdl-11888901

ABSTRACT

Albumin adducts of benzene oxide (BO-Alb) and 1,4-benzoquinone (1,4-BQ-Alb) were investigated among 134 workers exposed to benzene and 51 unexposed controls in Tianjin, China. Concentrations of both adducts increased with benzene exposure [range = 0.07-46.6 parts/million (ppm); median = 3.55 ppm] and with urinary cotinine. Adduct levels were less than proportional to benzene exposure, suggesting saturable CYP 2E1 metabolism of benzene. Because the transition from linear to saturable metabolism began at approximately 1 ppm, the common assumption of linear kinetics at much higher benzene exposures could lead to substantial underestimation of leukemia risks. Adduct levels were generally lower in older workers, indicating that CYP 2E1 metabolism diminished with age, at approximately 2%/year of life. The ratio of 1,4-BQ-Alb:BO-Alb decreased with age and coexposure to toluene, and increased with alcohol consumption. This indicates that factors affecting CYP 2E1 metabolism exerted a greater role on production of 1,4-BQ than BO, presumably because of the second oxidation step from phenol to hydroquinone. The adduct ratio was also positively associated with urinary cotinine, suggesting that both benzene and hydroquinone from cigarette smoke affected adduct levels. Results of a limited time course study of 11 subjects indicated moderate chemical instability of 1,4-BQ-Alb (half life = 13.5 days compared with 21 days for normal Alb turnover), whereas no evidence of instability of BO-Alb was observed. This study illustrates that Alb adducts can be used to investigate the dispositions of reactive metabolites of procarcinogens in humans, provided that exposures are adequately characterized in the month preceding blood collection.


Subject(s)
Albumins/metabolism , Benzene/metabolism , Benzoquinones/metabolism , Occupational Exposure , Adolescent , Adult , Age Factors , Cyclohexanes/metabolism , Female , Humans , Linear Models , Male , Middle Aged , Smoking/metabolism
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