Search

Abstract: This study investigated nucleic acid oxidation associated with exposure to benzene at low levels in 239 workers recruited among traffic policemen, taxi drivers and gasoline pump attendants of the city of Parma (Italy). Biomarkers of exposure, namely urinary t,t-muconic acid (t,t-MA) and S-phenylmercapturic acid (S-PMA), urinary cotinine, and urinary biomarkers of nucleic acid oxidation, namely 8-oxo-7,8-dihydro-2′-deoxyguanosine (8-oxodGuo), 8-oxo-7,8-dihydroguanosine (8-oxoGuo) and 8-oxo-7,8-dihydroguanine (8-oxoGua) were determined by liquid chromatography–tandem mass spectrometry. Relevant polymorphisms of NAD(P)H:quinone oxidoreductase (NQO1), glutathione S-transferases M1-1 (GSTM1), T1-1 (GSTT1), and A1 (GSTA1) were characterized by polymerase chain reaction-based methods in a subgroup of subjects. Biomarkers of nucleic acid oxidation were correlated with each other (r ≥0.32, p <0.0001) and with exposure biomarkers (r ≥0.28, p <0.0001). Multiple linear regression models including age, sex and smoking habits as independent variables demonstrated that benzene exposure is associated with oxidation damage to nucleic acid, particularly to RNA (p <0.0001) and is modulated by the NQO1 polymorphism. The study confirmed a significant modulating effect of GSTM1 (p =0.010), GSTT1 (p =0.023) and GSTA1 (p =0.048) polymorphisms on S-PMA excretion, with a significant interaction between GSTM1 and both GSTT1 and GSTA1 (p =0.006 and p =0.037, respectively). [Copyright &y& Elsevier]

Abstract: This study investigated nucleic acid oxidation associated with styrene exposure, mRNA expression levels of hOGG1 gene and the role of the genetic polymorphism Ser326Cys of human 8-oxoguanine DNA N-glycosylase 1 (hOGG1) in 60 styrene-exposed workers and 50 unexposed clerks. Biomarkers of exposure (styrene in blood, mandelic and phenylglyoxylic acids and 4-vinylphenol in urine) and urinary biomarkers of nucleic acid oxidation, namely 8-oxo-7,8-dihydro-2′-deoxyguanosine (U-8-oxodGuo), 8-oxo-7,8-dihydroguanosine (U-8-oxoGuo) and 8-oxo-7,8-dihydroguanine (U-8-oxoGua) were determined by liquid chromatography–tandem mass spectrometry. The levels of 8-oxodGuo adduct and 2′-deoxyguanosine (dGuo) were measured by HPLC in DNA from white blood cells (WBC). Genomic DNA and RNA from blood samples were used to characterize the Ser326Cys polymorphism and the mRNA expression levels of the hOGG1 gene, respectively, by PCR-based methods. Exposed workers showed lower values of 8-oxodGuo/105 dGuo ratio in WBC-DNA but higher concentrations of U-8-oxoGuo compared to controls (p =0.002 and p =0.008, respectively, t-test for independent samples). In the whole group, all urinary biomarkers of nucleic acid oxidation correlated with both the sum of mandelic and phenylglyoxylic acids (rho >0.33, p <0.0001) and 4-vinylphenol (rho >0.29, p <0.001), whereas 8-oxodGuo/105 dGuo in WBC showed a negative correlation with exposure parameters (rho <−0.24, p <0.02). Subjects bearing the hOGG1 Ser/Ser genotype showed lower values of 8-oxodGuo/105 dGuo in WBC than those with at least one variant Cys allele (0.34±0.16 vs 0.45±0.21, p =0.008). In the subgroup of hOGG1 Ser/Ser subjects, laminators showed lower levels of WBC 8-oxodGuo/105 dGuo ratio and significantly higher concentrations of U-8-oxoGua than controls (p =0.07 and p =0.01, respectively, t-test for independent samples). Interestingly, workers showed higher levels of hOGG1 expression compared to controls (p <0.0005). Styrene exposure seems to be associated with oxidation damage to nucleic acids, particularly to RNA and with an induction of the BER system. [Copyright &y& Elsevier]

Abstract: A comparative evaluation of urinary biomarkers was carried out to characterize benzene exposure in a group of 100 traffic policemen of the city of Parma (Italy). All subjects were monitored once, in two consecutive days characterized by similar climatic conditions but preceded by two windy days. Benzene ambient concentration measured by municipal air monitoring stations was 1μg/m3 (Day 1) and 2μg/m3 (Day 2). Personal exposure to ambient concentrations of benzene, toluene, ethylbenzene and xylene (BTEX) was assessed by using Radiello® passive-diffusive samplers in a subgroup of 24 workers. Benzene metabolites, t,t-muconic acid (t,t-MA) and S-phenylmercapturic acid (S-PMA) were determined by isotopic dilution liquid chromatography–tandem mass spectrometry on spot urine samples collected at the end of the shift. Urinary benzene (U-B) was determined by solid-phase microextraction gas chromatography–mass spectrometry. Airborne benzene concentration expressed as median [and interquartile range] was 6.07 [0.28–9.53]μg/m3, as assessed by personal sampling. Urinary concentrations of biomarkers in the whole group were 41.8 [34.1–89.8]μg/g creatinine for t,t-MA, 0.67 [0.23–1.32]μg/g creatinine for S-PMA, and 0.16 [0.13–0.26]μg/l for U-B. Smokers eliminated significantly higher concentrations of unchanged BTEX and benzene metabolites than non-smokers (p <0.05). When traffic policemen were distinguished into indoor (n =31) and outdoor workers, no significant differences were observed for either airborne benzene or urinary biomarkers. Significantly lower concentrations of S-PMA and U-B were determined in samples collected at Day 1 as compared to Day 2 (p <0.0001 and p =0.003, respectively) suggesting that these biomarkers are enough sensitive and specific to detect changes in airborne benzene concentration even at few μg/m3. [Copyright &y& Elsevier]

Abstract: Biological monitoring (BM) and biomarkers are widely applied in occupational toxicology. BM is mainly aimed at (i) defining the existence of an occupational exposure; (ii) quantifying the level of internal dose; (iii) verifying that exposure limits (BEI®, BAT, BLV) are respected. As compared to ambient monitoring, BM is more expensive and complex. Several biomarkers are available for the same chemical and the meaning of the marker may depend on the sampling time. Therefore, practical issues, including cost and selection of an adequate sampling strategy, should be dealt with when planning a BM program for specific purposes. In addition, several biological and analytical sources of variability may influence biomarker levels, thus making the interpretation of BM data a difficult task. However, we should recognize that the main aim of BM is not to reduce, but to explain biological variance. The decreasing trend in occupational exposure levels highlighted the specificity problems of traditional biomarkers of exposure and prompted the research to the development of new biomarkers, e.g. unchanged volatile compounds in urine, minor metabolites, DNA and protein adducts. Depending on the scope and context (research or routine) different requirements of biomarkers can be envisaged in terms of validation and acceptable variability. [Copyright &y& Elsevier]

Abstract: An integrated approach based on ambient and biological monitoring, the latter including both biomarkers of exposure and susceptibility, was applied to characterize benzene exposure in a group of 37 taxi drivers of the city of Parma (Italy). Airborne benzene concentrations were assessed by 24h personal sampling and work-shift sampling inside the taxicab using passive samplers (Radiello®). Benzene metabolites, trans,trans-muconic acid (t,t-MA) and S-phenylmercapturic acid (S-PMA), and urinary cotinine as biomarker of smoking habits were measured by isotopic dilution liquid chromatography tandem mass spectrometry in both pre-shift (PS) and end-of-shift (EOS) samples. Urinary benzene (U-B) levels were determined by solid-phase microextraction gas chromatography–mass spectrometry in EOS samples. Relevant polymorphisms of microsomal epoxide hydrolase, NAD(P)H:quinone oxidoreductase, glutathione S-transferases M1-1 (GSTM1), T1-1, and A1 were characterized by PCR-based methods. Mean airborne benzene concentration was 5.85±1.65μg/m3, as assessed by 24h personal sampling integrating for work-shift, indoor or general environment activities. Significantly, higher benzene concentrations were detected in the taxicab during the work-shift (7.71±1.95μg/m3, p <0.005). Smokers eliminated significantly higher concentrations of U-B and S-PMA than non-smokers in EOS samples [geometric mean (geometric S.D.): 2.58 (4.23) versus 0.44 (1.79)μg/l for U-B; 3.79 (1.50) versus 2.14 (1.87)μg/gcreat. for S-PMA, p <0.002]. Within smokers, S-PMA concentrations significantly increased at the end of the work-shift compared to pre-shift values (p <0.05). t,t-MA showed a similar behaviour, although differences were not significant. In the narrow range examined, no correlation was observed between air benzene concentration and urinary biomarkers. All benzene biomarkers but EOS t,t-MA were correlated with U-cotinine (p <0.05). GSTM1 polymorphism significantly modulated S-PMA excretion, as subjects bearing the GSTM1pos genotype [3.61 (1.15)μg/gcreat.] excreted significantly higher S-PMA concentrations than GSTM1null subjects [2.19 (1.18)μg/gcreat., p <0.05]. [Copyright &y& Elsevier]

Abstract: Recent advances on biomarker research are discussed, primarily relying on experience gained with technologies based on liquid chromatography–tandem mass spectrometry (LC–MS–MS). Determination of urinary metabolites of industrial chemicals (n-hexane, benzene, toluene, and styrene) in samples from occupationally exposed workers and controls was performed by LC–MS–MS with either electrospray (ESI) or atmospheric pressure chemical ionization (APCI), as appropriate. Both phase I and II metabolites (glucuronides, sulfates, and mercapturic acids) can be detected with little or no sample manipulation, thus allowing the identification of a number of artifacts and “new” metabolites. However, experimental evidence indicates the need for properly addressing the matrix effect, which is always associated with the analysis of biological samples. Both efficient sample preparation and the use of isotopically labeled internal standards seem to be necessary to develop validated quantitative methods. [Copyright &y& Elsevier]

Two workers were accidentally exposed to unusually high styrene concentrations (>1000 ppm) for about 30 min. In addition to the main styrene metabolites, mandelic acid (MA) and phenylglyoxylic acid (PGA), other minor metabolites, including specific mercapturic acids, (R,R)- and (S,R)-N-acetyl-S-(1-phenyl-2-hydroxyethyl)-l-cysteine [(R,R)-M1 and (S,R)-M1] and (R,R)- and (S,R)-N-acetyl-S-(2-phenyl-2-hydroxyethyl)-l-cysteine [(R,R)-M2 and (S,R)-M2], 4-vinylphenol-glucuronide and -sulfate, and phenylglycine, were determined by Liquid Chromatography Electrospray Tandem Mass Spectrometry (LC-ESI-MS/MS) in urine samples collected 12, 24, 36, 48, 75 and 99 h after the episode. The genotypes of microsomal epoxide hydrolase, glutathione-S-transferases M1-1 (GSTM1), T1-1 (GSTT1) and P1-1 (GSTP1) were characterized by PCR-based methods. The two subjects showed similar peak levels of MA and PGA, as well as 4-vinylphenol conjugates, whereas mercapturic acids were five times higher in the subject bearing the GSTM1pos than in the GSTM1null subject. Also, relative proportions of diasteroisomers of mercapturic acids were influenced by the GSTM1 polymorphism. [Copyright &y& Elsevier]

Abstract: Two analytical methods (HPLC-fluorimeter [HPLC-FLD] and tandem mass spectrometry LC/MS/MS) are available to assay phenyl-hydroxyethylmercapturic acids (PHEMAs), the mercapturic acids of styrene in humans. In the past, each method was used to check different populations of subjects, but until now no attempt has been made to compare the two methods. This study was designed to verify whether the two methods actually give comparable results. The influence of different conditions of sample storage in altering the concentration of PHEMAs was also investigated. Urine samples were collected at the beginning and at the end of the workshift from 10 workers exposed to different levels of styrene. Each sample was analysed both by LC/MS/MS after storage under different conditions (respectively, at −20 and +4°C, and after repeated freezing–thawing cycles), and by HPLC-FLD (in the same conditions of storage). Strong correlations were found between the two methods both for total PHEMAs and for each of the isomers measured, including the minor (S,R)-M1. Also an alternative approach, the Bland–Altman test, confirmed the agreement between the two methods. The different storage conditions tested did not decrease the concentration of PHEMAs but, surprisingly, a clear trend to increase was shown, particularly for (R,R)-M1, (S,R)-M2 and (R,R)-M2 in samples stored at +4°C for 1 week. In conclusion, the study demonstrates that the methods give comparable results. Indirectly, this confirms also the main characteristics of PHEMAs, showed in the previous experiments: low biotransformation rates of styrene into PHEMAs; large inter-individual variability; and the presence of a clear preference in the excretion of the isomers deriving from (S)-styrene oxide. PHEMAs appear stable under different storage conditions, but further studies are needed to explain the increase of levels that occurs when samples are not kept frozen. To avoid pre-analytical errors, samples collected for biomonitoring or research purposes should be frozen as soon as possible, and thawed only one time just before the analysis. [Copyright &y& Elsevier]