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Disruption of circadian rhythm caused by night-shift work has been associated with several disorders, including cancer. Health care personnel often works at night to insure the continuity of care. Aim of this study was to evaluate the influence of night-shift work on serum and saliva levels of steroid hormones, vitamin D, and melatonin in hospital female workers. Ninety-seven female hospital workers were recruited: 46 nurses performing clockwise rapid rotating shift schedule on a 5-day cycle, including one night, and 51 day workers. Thirteen steroid hormones and vitamin D were assessed in morning serum samples; cortisol, cortisone and melatonin were assessed in morning and evening saliva samples. We fitted multiple regression models adjusted for age, BMI, sampling month, ovarian cycle phase, and use of oral contraceptives (OC). Rapidly rotating clockwise shift work was associated with increased levels of serum corticosterone, 11-deoxycortisol, dehydroepiandrosterone (DHEA), and androstenedione, and decreased levels of estradiol and vitamin D. OC modulated the association between serum cortisol, corticosterone and 11-deoxycortisol and work shift. The normal circadian phase of salivary melatonin, cortisol and cortisone was not affected by shift work. In female hospital nurses, the clockwise rapid rotating shift schedule increases the level of some hormones, likely associated with stress. No increase of estradiol, nor modification of salivary hormones was observed., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Background & Aims: Previous meta-analyses demonstrated the safety and efficacy of anticoagulation in the recanalization of portal vein thrombosis in patients with cirrhosis. Whether this benefit translates into improved survival is unknown. We conducted an individual patient data (IPD) meta-analysis to assess the effect of anticoagulation on all-cause mortality in patients with cirrhosis and portal vein thrombosis., Methods: In this IPD meta-analysis, we selected studies comparing anticoagulation vs. no treatment in patients with cirrhosis and portal vein thrombosis from PubMed, Embase, and Cochrane databases (until June 2020) (PROSPERO no.: CRD42020140026). IPD were subsequently requested from authors. The primary outcome - the effect of anticoagulation on all-cause mortality - was assessed by a one-step meta-analysis based on a competing-risk model with liver transplantation as the competing event. The model was adjusted for clinically relevant confounders. A multilevel mixed-effects logistic regression model was used to determine the effect of anticoagulation on recanalization., Results: Individual data on 500 patients from five studies were included; 205 (41%) received anticoagulation and 295 did not. Anticoagulation reduced all-cause mortality (adjusted subdistribution hazard ratio 0.59; 95% CI 0.49-0.70), independently of thrombosis severity and recanalization. The effect of anticoagulation on all-cause mortality was consistent with a reduction in liver-related mortality. The recanalization rate was higher in the anticoagulation arm (adjusted odds ratio 3.45; 95% CI 2.22-5.36). The non-portal-hypertension-related bleeding rate was significantly greater in the anticoagulation group., Conclusions: Anticoagulation reduces all-cause mortality in patients with cirrhosis and portal vein thrombosis independently of recanalization, but at the expense of increasing non-portal hypertension-related bleeding., Prospero Registration Number: CRD42020140026., Impact and Implications: Anticoagulation is effective in promoting recanalization of portal vein thrombosis in patients with cirrhosis, but whether this benefit translates into improved survival is controversial. Our individual patient data meta-analysis based on a competing-risk model with liver transplantation as the competing event shows that anticoagulation reduces all-cause mortality in patients with cirrhosis and portal vein thrombosis independently of recanalization. According to our findings, portal vein thrombosis may identify a group of patients with cirrhosis that benefit from long-term anticoagulation., (Copyright © 2023 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.)

An ever-growing burden of scientific evidence links air pollution to different aspects of human health even at very low concentrations; the impact increases for those living in urban environments, especially the youngest and the elderly. This study investigated the exposure to air pollution of urban school children of Milan, Italy, by personal and biological monitoring, in the frame of the MAPS-MI project. A total of 128 primary school children (7-11 years) were involved in a two-season monitoring campaign during spring 2018 and winter 2019. Personal exposure to airborne VOCs and eBC, and biological monitoring of urinary benzene (BEN-U) and methyl-tert-butyl ether (MTBE-U) were performed. Time-activity patterns, environmental tobacco smoke (ETS), spatial, and meteorological information were evaluated as determinants in mixed effects regression analysis. Children personal exposure was mostly quantifiable with median (5th-95th percentile) levels 1.9 (0.8-7.5) μg/m 3 for eBC, and 1.1 (<0.6-3.4) and 0.8 (0.3-1.8) μg/m 3 for benzene and MTBE, respectively; with values 2-3-fold higher in winter than in spring. In urine, median (5th-95th) BEN-U and MTBE-U levels were 44.9 (25.7-98.6) and 11.5 (5.0-35.5) ng/L, respectively. Mixed effect regression models explained from 72 to 93 % of the total variability for air pollutants, and from 58 to 61 % for biomarkers. Major contributors of personal exposure were season, wind speed, mobility- or traffic-related variables; biomarkers were mostly predicted by airborne exposure and ETS. Our results suggest that traffic-mitigation actions, together with parents' educational interventions on ETS and commuting mode, should be undertaken to lower children exposure to air pollution., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Human exposure to air pollutants, and specifically to particulate matter (PM) and volatile organic compounds (VOCs), may pose a relevant risk on human health., Aim: To evaluate the personal exposure of adults living and working in Milan (Italy) by environmental and biological monitoring., Methods: Personal exposure of 51 volunteer adults to PM 2.5 , PM 2.5 - 10 and selected VOCs, including benzene, toluene, ethylbenzene, o-xylene, m + p-xylene, methyl tert-butyl ether, naphthalene, hexane, cyclohexane, heptane, and limonene was assessed along a 24-h period via personal cascade impactors and radial diffusive samplers. Urine spot samples were collected to investigate the corresponding urinary biomarkers. Time-activity patterns were filled in by participants to explore the performed activities. Multiple regression models were applied to investigate the association between personal exposure, biomarker levels, and tobacco smoke, traffic exposure, commuting mode, cooking activities, and personal characteristics., Results: Median personal exposure to PM 2.5 , PM 2.5 - 10 , benzene, toluene, ethylbenzene o-xylene, m + p-xylene, methyl tert-butyl ether, naphthalene, hexane, cyclohexane, heptane, and limonene were 36.1, 7.8, 2.3, 7.8, 2.1, 1.8, 4.7, 0.8, 0.3, 1.4, 2.5, 1.6, and 59.9 μg/m 3 , respectively. Median levels of urinary benzene, toluene, ethylbenzene o-xylene, m + p-xylene, naphthalene, hexane, and heptane were 78.0, 88.1, 21.5, 15.2, 43.9, 21.0, 11.0, and 22.5 ng/L, respectively. For personal exposure, multiple regression models explained up to 67% (PM 2.5 ) and 61% (benzene) of variability, with major contribution from commuting mode and environmental exposure. For biological monitoring, multiple regression analysis explained up to 74% of urinary benzene, with a major contribution given by creatinine, and secondary contributions by commuting mode, personal exposure to airborne benzene and smoking., Conclusions: Personal exposure to air pollutants was lower than that measured in the past in Milan. Personal exposure was mainly driven by traffic variables, while internal dose was mainly driven by personal characteristics and smoking habit., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

This study reports the development of a method based on headspace (HS)-solid-phase microextraction (SPME)-gas chromatography (GC)-triple quadrupole tandem mass spectrometry (MS/MS) for the quantification of 2- to 4-ring polycyclic aromatic hydrocarbons (PAHs) in saliva samples. Eight unmetabolized compounds (naphthalene, acenaphthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene and pyrene) were quantified using six deuterated PAHs as surrogate internal standards. The absence of matrix effect allowed saliva samples to be quantified by external calibration method. The optimized method resulted easy, with minimal sample pre-treatment (homogenization of the sample), and it achieved the highest sensitivity up to date: limits of quantification (LOQ) were in the 0.8-26.4 ng L -1 range, with a significant improvement in comparison with the few existing methods. Intra- and inter-run precisions provided CV values <18.1%, and accuracies within 20% of the spiked concentration. The application of the method to the analysis of fresh saliva samples collected by spitting from smokers (n = 10) and non-smokers (n = 10) showed that PAHs were quantifiable in all samples and that smokers had higher levels of all compounds than non-smokers. These results show that the method is suitable for quantifying low-boiling PAHs in saliva samples from individuals exposed at different PAH levels., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Although thousands of different chemicals have been identified in cigarette smoke, the characterization of their urinary metabolites still requires significant research. The aim of this work was to perform an untargeted metabolomic approach to a pilot cross-sectional study conducted on subjects with different smoking habits and to compare the results with those of the targeted measurement of mercapturic acids., Methods: Urine samples from 67 adults, including 38 non-smokers, 7 electronic cigarette users, and 22 traditional tobacco smokers were collected. Samples were analysed by liquid chromatography/time-of flight mass spectrometry. Data were processed using the R-packages IPO and XCMS to perform feature detection, retention time correction and alignment. One-way ANOVA test was used to identify different features among groups. Quantitative determination of 17 mercapturic acids was available from a previous study., Results: One hundred and seventeen features, out of 3613, were different among groups. They corresponded to 91 potential metabolites, 5 of which were identified vs authentic standards, 43 were putatively annotated and 13 were attributed to chemical classes. Among identified compounds there were the mercapturic acids of acrolein, 1,3-butadiene, and crotonaldehyde; among putatively annotated compounds there were the glucuronide conjugated of 3-hydroxycotinine and the sulfate conjugate of methoxyphenol; with the lowest degree of confidence several sulfate conjugates of small molecules were annotated. Considering mercapturic acids, the coherence between the targeted and untargeted approach was found for a limited number of chemicals, typically the most abundant., Conclusions: Differences in the urinary levels of several compounds were associated to the different smoking habits, suggesting that the proposed approach is useful for the investigation of the metabolite patterns related to the exposure to toxicants. However, limitations were highlighted, in particular regarding the identification of low concentration compounds., Competing Interests: Declaration of Competing Interest The authors report no declarations of interest., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: While tobacco smoke contains thousands of chemicals, some of which are carcinogenic to humans, the content of electronic cigarette smoke is less known. This work aimed to assess and compare the exposure associated with different smoking habits by profiling urinary mercapturic acids as biomarkers of toxic compounds., Methods: In this pilot study, sixty-seven healthy adults with different smoking habits were investigated: 38 non-smokers (NS), 7 electronic cigarette users (ECU), and 22 traditional tobacco smokers (TTS). Seventeen urinary mercapturic acids, metabolites of 1,3-butadiene (DHBMA, MHBMA), 4-chloronitrobenze (NANPC), acrolein (3-HPMA), acrylamide (AAMA, GAMA), acrylonitrile (CEMA), benzene (SPMA), crotonaldehyde (CMEMA, HMPMA), ethylating agents (EMA), methylating agents (MMA), ethylene oxide (HEMA), N,N-dimethylformamide (AMCC), propylene oxide (2-HPMA), styrene (PHEMA), and toluene (SBMA), were quantified, along with urinary nicotine and cotinine., Results: Median urinary cotinine was 0.4, 1530 and 1772 μg/L in NS, ECU and TTS, respectively. Most mercapturic acids were 2-165 fold-higher in TTS compared to NS, with CEMA, MHBMA, 3-HPMA and SPMA showing the most relevant increases. Furthermore, some mercapturic acids were higher in ECU than NS; CEMA and 3-HPMA, in particular, showed significant increases and were 1.8 and 4.9 fold-higher, respectively., Conclusions: This study confirms that tobacco smoking is a major source of carcinogenic chemicals such as benzene and 1,3-butadiene; electronic cigarette use is a minor source, mostly associated with exposure to chemicals with less carcinogenic potential such as acrylonitrile and acrolein., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Introduction: Mercapturic acids are urinary metabolites of occupational and environmental toxicants. The aim of this work was to develop and validate an analytical assay for the determination of several urinary mercapturic acids to be used as biomarkers of exposure., Method: An isotope dilution tandem mass spectrometric method, coupled with reversed-phase liquid chromatography, was developed for the analysis of mercapturic acids derived from several compounds, including those of benzene, toluene, 1,3-butadiene, styrene, acrylonitrile, 4-chloronitrobenzene, acrylamide, acrolein, propylene oxide, N,N-dimethylformamide, crotonaldehyde, ethylene oxide, and methylating and ethylating agents. Samples were prepared by simple filtration after dilution. A validation was carried out, including the assessment of calibration curves, sensitivity, accuracy, precision, process efficiency, and stability, along with external verification. The assay was applied to the analysis of 14 end-of-shift urine samples from unexposed workers and gasoline station attendants., Results: The chromatographic run lasted 18 min. Limits of quantitation ranged from 0.01 to 3.2 μg/L; precision, expressed as relative standard deviation, ranged from 0.6 to 20.9%; and accuracy ranged from 93.4 to 114.9% of theoretical values. The use of deuterated internal standards was suitable for control of the matrix effect. The assay allowed the simultaneous quantitation of urinary mercapturic acids at different concentration ranges. The external verification exercise produced good results. The application of the assay to urine samples from workers revealed differences in mercapturic acid profiles in agreement with the expected patterns of exposure., Conclusion: This high-throughput method is valid and useful for the quantitation of urinary mercapturic acids, and is suitable for human biomonitoring of occupational and environmental exposure., (Copyright © 2019 Elsevier B.V. All rights reserved.)

The aims of this study were (1) to explore the behavioral and sociodemographic factors influencing urinary cotinine (COT-U) levels in active smokers and in environmental tobacco smoke (ETS)-exposed individuals, (2) to assess the specificity and sensitivity of the questionnaire for identifying active smokers and nonsmokers, and (3) to derive the upper reference value of COT-U in non-ETS exposed individuals. The COT-U levels of 495 adults (age range 18-69 years) who classified themselves as active smokers (29%) or as nonsmokers with (17%) or without (83%) ETS exposure were quantified by LC-MS-MS (quantification limit: 0.1µg/L, range of linearity: 0.1-4000µg/L). Median COT-U levels in these groups were 883, 1.38, and 0.39µg/L, respectively. Significant determinants of COT-U levels in active smokers were the number of cigarettes per day, type of smoking product, smoking environment, as well as time between the last cigarette and urine collection. Among ETS-exposed nonsmokers, significant determinants were living with smokers, being exposed to smoke at home, ETS exposure duration, as well as time between the last exposure and urine collection. When a 30-µg/L COT-U cut-off value was used to identify active daily smoking, the sensitivity and specificity of the questionnaire were 94% and 98%, respectively. For ETS exposure, the COT-U value of 1.78 (0.90 confidence interval 1.75-1.78) µg/L, corresponding to the 95th percentiles of the COT-U distribution in non-ETS-exposed participants, is proposed as upper reference value to identify environmental exposure., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Biological monitoring of low level exposure to pollutants is a very challenging analytical activity, and the quality of results is difficult to assess, especially when a certified reference material is unavailable. The aim of this work was to evaluate the reliability of the assays used to measure urinary benzene (Benz-U) and S-phenylmercapturic acid (SPMA), by applying an internal quality control protocol. Urine spot samples from 705 subjects who were either members of the general urban population, gasoline station attendants, or refinery plant workers were assayed for Benz-U and SPMA, using GC/MS and LC/MS/MS, with quantification limits of 15 ng/L and 0.10 μg/L. The median Benz-U concentration was 263 ng/L (60-2789 ng/L, 5th-95th percentile), and the median SPMA concentration was 0.19 μg/L (<0.1-2.5 μg/L, 5th-95th percentile). Linearity of both assays was good, but a less-than-proportional response was found for SPMA concentrations below 1 μg/L. Between-run precision and accuracy for Benz-U concentration determination were assessed using quality controls at 120 ng/L and 1000 ng/L and were 10.3% and 4.8%, and 104.8% and 98.9%, respectively; while the precision and accuracy for SPMA concentration determination at 0.3 μg/L, 2.5 μg/L, and 20 μg/L were 40.3%, 6.2%, and 6.2%, and 48.3%, 96.3%, and 98.8%, respectively. Precision, estimated using duplicates of unknown samples, was 13.4% for Benz-U and 26.5% for SPMA analyses. Control charts for the means of the slope of the linear calibration curve of Benz-U showed good stability of the means over a five-year period. For SPMA, a two-laboratory comparison revealed acceptable agreement between ln-transformed data pairs, with a slope of the linear regression of 0.863 (confidence interval 0.774-0.952), null intercept, and a Pearson's r value of 0.844. Reliable results were obtained for Benz-U analyses over the entire concentration range, and for high and medium SPMA levels. However, the determination of SPMA concentrations at levels close to the limit of quantification was less reliable., (Copyright © 2009 Elsevier B.V. All rights reserved.)

The aim of this work was to evaluate urinary benzene, toluene, ethylbenzene, m+p-xylene, o-xylene (BTEX), methyl tert-butyl ether (MTBE), ethyl tert-butyl ether (ETBE), and naphthalene (NAP) as biomarkers of exposure to environmental pollutants. Personal air and urine samples from 108 subjects belonging to the Italian general population were compared. Urinary profiles were obtained by headspace gas chromatography-mass spectrometry. BTEX, MTBE, ETBE and NAP median airborne exposures during a 5-h sampling were 4.0, 25.3, 3.8, 9.3, 3.4, 3.4, <0.8, and 3.4 microg/m(3), respectively. Meanwhile, median urinary levels, as geometric means of three determinations were: 122, 397, 74, 127, 43, 49, <15, and 46 ng/L, respectively. Urinary benzene and toluene concentrations were 4.6- and 1.2-fold higher in smokers than in non-smokers. For most chemicals, significant positive correlations between airborne exposure (log-transformed) and the corresponding biological marker (log-transformed) were found, with Pearson's r values for correlation, ranging from 0.228 to 0.396. Multiple linear regression analysis showed that the urinary level of these chemicals was influenced by personal airborne exposure, urinary creatinine, and urinary cotinine, with R(2) 0.733 for benzene. Urinary chemicals are useful biomarkers of environmental exposure. Given the ease of rapidly obtaining urine samples, they represent a non-invasive alternative to blood chemical analysis. The possibility of obtaining urinary exposure profiles makes this method an appealing tool for environmental epidemiology., (Copyright 2010 Elsevier B.V. All rights reserved.)

Aim of the study was the assessment of exposure of coke-oven workers to polycyclic aromatic hydrocarbons (PAHs) by determination of urinary profiles of hydroxylated and unmetabolized PAHs. Fifty-five Polish coke-oven workers were investigated by measurement of 12 hydroxylated metabolites of PAHs (OHPAHs) (1-, 2-hydroxynaphthalene; 2-, 9-hydroxyfluorene; 1-, 2-, 3-, 4-, 9-hydroxyphenanthrene; 1-hydroxyypyrene, 6-hydroxychrysene and 3-hydroxybenzo[a]pyrene) and 13 unmetabolized PAHs (U-PAHs) (from naphthalene to benzo[a]pyrene), in spot urine samples collected at the end of the workshift. U-PAHs with four or less rings were detected in all samples. In particular, median levels for urinary naphthalene, phenanthrene, pyrene, chrysene and benz[a]anthracene were 0.806, 0.721, 0.020, 0.032 and 0.035 microg/L. OHPAHs up to 1-hydroxypyrene were found in all samples, while high molecular-weight OHPAHs were always below quantification limit. Median level of 1-hydroxyypyrene was 15.4 microg/L. In all subjects significant correlations between OHPAHs and U-PAHs were observed (0.27 < r < 0.70, p < 0.01). Our results suggest that both hydroxylated metabolites and unmetabolized PAHs in urine are useful biomarkers of exposure to PAHs. Moreover, the simultaneous determination of several biomarkers permits to obtain specific excretion profiles that might help in exposure characterization and in better defining the excretion patterns.

Polycyclic aromatic hydrocarbons (PAHs) are common environmental pollutants in both living and working environments. The aim of this study was the development of a headspace solid-phase microextraction gas chromatography-isotope dilution mass spectrometry (HS-SPME/GC-IDMS) method for the simultaneous quantification of 13 PAHs in urine samples. Different parameters affecting PAHs extraction by HS-SPME were considered and optimized: type/thickness of fiber coatings, extraction temperature/time, desorption temperature/time, ionic strength and sample agitation. The stability of spiked PAHs solutions and of real urine samples stored up to 90 days in containers of different materials was evaluated. In the optimized method, analytes were absorbed for 60min at 80 degrees C in the sample headspace with a 100mum polydimethylsiloxane fiber. The method is very specific, with linear range from the limit of quantification to 8.67 x 10(3)ngL(-1), a within-run precision of <20% and a between-run precision of <20% for 2-, 3- and 4-ring compounds and of <30% for 5-ring compounds, trueness within 20% of the spiked concentration, and limit of quantification in the 2.28-2.28 x 10(1)ngL(-1) range. An application of the proposed method using 15 urine samples from subjects exposed to PAHs at different environmental levels is shown.

The aim of this study was the development of a method for the determination of 12 urinary monohydroxy metabolites of PAHs, namely 1-hydroxynaphthalene, 2-hydroxynaphthalene, 2-hydroxyfluorene, 9-hydroxyfluorene, 1-hydroxyphenanthrene, 2-hydroxyphenanthrene, 3-hydroxyphenanthrene, 4-hydroxyphenanthrene, 9-hydroxyphenanthrene, 1-hydroxypyrene, 6-hydroxychrysene, and 3-hydroxybenzo[a]pyrene. Analytes were determined in the presence of deuterated analogues as internal standards, by GC/MS operating in the electron impact mode. Sample preparation was performed by enzymatic hydrolysis of glucoronate and sulphate conjugates of hydroxy metabolites of PAHs, liquid-liquid extraction with n-hexane, and derivatization with a silylating reagent. The method is very specific, limits of quantification are in the range 0.1-1.4 microg/l, and range of linearity is from limit of detection to 208 microg/l. Within- and between-run precision, expressed as coefficient of variation, are <20%; accuracy for most analytes is within 20% of the theoretical value. An application of the proposed method to the analysis of 10 urine samples from coke-oven workers shows that 1-hydroxynaphthalene and 2-hydroxyfluorene were the most abundant compounds (median 61.4 and 69.7 microg/l, respectively), while 6-hydroxychrysene, and 3-hydroxybenzo[a]pyrene were always below the quantification limit.

Methyl tert-butyl ether (MTBE), ethyl tert-butyl ether (ETBE) and tert-amyl methyl ether (TAME) are oxygenated compounds added to gasoline to enhance octane rating and to improve combustion. They may be found as pollutants of living and working environments. In this work a robotized method for the quantification of low level MTBE, ETBE and TAME in human urine was developed and validated. The analytes were sampled in the headspace of urine by SPME in the presence of MTBE-d12 as internal standard. Different fibers were compared for their linearity and extraction efficiency: carboxen/polydimethylsiloxane, polydimethylsiloxane/divinylbenzene, and polydimethylsiloxane. The first, although highly efficient, was discarded due to deviation of linearity for competitive displacement, and the polydimethylsiloxane/divinylbenzene fiber was chosen instead. The analysis was performed by GC/MS operating in the electron impact mode. The method is very specific, with range of linearity 30-4600 ng L(-1), within- and between-run precision, as coefficient of variation, <22 and <16%, accuracy within 20% the theoretical level, and limit of detection of 6 ng L(-1) for all the analytes. The influence of the matrix on the quantification of these ethers was evaluated analysing the specimens of seven traffic policemen exposed to autovehicular emissions: using the calibration curve and the method of standard additions comparable levels of MTBE (68-528 ng L(-1)), ETBE (<6 ng L(-1)), and TAME (<6 ng L(-1)) were obtained.

This study was carried out to define reference values for urinary ethylenethiourea (ETU) in the Northern Italy population and to identify the sources of exposure. Ninety-five healthy subjects were selected. A spot urine sample was collected in the morning, and analyzed using GC/MS in the EI/SIM mode. Thirty-nine subjects showed urinary ETU concentrations lower than the limit of detection (LOD, 0.4 microg/g creatinine), and the remainders ETU concentrations ranging from 0.5 to 11.6 microg/g creatinine. No correlation was shown between smoke or alcohol intake and urinary ETU concentrations. Based on data on ethylene-bis-dithiocarbamate (EBDC) concentrations in food, we estimated a total EBDCs intake of 31.7-50.1 microg/day. These values are largely below the ADIs, but explain the presence of small amounts of ETU in the urine samples we have analyzed. Finally, it was estimated that the mean ETU in urine in the Italian general population is 0.6-0.8 microg/g creatinine, with a 95th percentile of 4.5-5.0 microg/g creatinine. These values can be used as reference, to compare the results of biological monitoring activities carried out on EBDCs occupationally and environmentally exposed populations.

In this paper we evaluated the possibility to assess occupational exposure to polycyclic aromatic hydrocarbons (PAHs) measuring unmetabolized PAHs in urine. With this aim, 24 road paving (RP) workers, exposed to bitumen fumes, and 6 road construction workers (CW), exposed to diesel exhausts, were investigated. Median personal exposure to low boiling PAHs (from naphthalene to pyrene) during the work shift ranged from 0.5 to 369 ng/m(3), with naphthalene as the most abundant compound. Three urine samples were collected for each worker: baseline (after 2 days of vacation), before- and end-shift samples (in the second part of the work week). The following urinary compounds were measured by headspace-solid phase microextraction GC/MS: naphthalene (U-NAP), acenaphthylene (U-ACY), acenaphthene (U-ACE), fluorene (U-FLE), phenanthrene (U-PHE), anthracene (U-ANT), fluoranthene (U-FLU), pyrene (U-PYR). Urinary PAHs were detected in almost all samples. Median levels for U-NAP, U-PHE, U-PYR and U-FLE in end-shift samples were 82, 48, 54 and 21 ng/L in RP and 69, 14, 24 and 15 ng/L in CW, respectively. Significant differences in the levels of U-PHE, U-FLU and U-PYR were found between RP and CW (p<0.05). Moreover in RP samples the urinary excretion of most analytes increased during the work shift (p<0.05). These results suggest that urinary PAHs may be useful biomarkers of occupational exposure.

This research compared the capability of urinary trans,trans-muconic acid (t,t-MA), S-phenylmercapturic acid (S-PMA) and benzene excreted in urine (U-benzene) to monitor low benzene exposure and evaluated the influence of smoking habit on these indices. Gasoline attendants, urban policemen, bus drivers and two groups of referents working in two large Italian cities (415 people) were studied. Median benzene exposure was 61, 22, 21, 9 and 6 microg/m3, respectively, with higher levels in workers than in referents. U-benzene, but not t,t-MA and S-PMA, showed an exposure-related increase. All the biomarkers were strongly influenced by cigarette smoking, with values up to five-fold higher in smokers compared to non-smokers. In conclusion, in the range of investigated benzene exposure (<478 microg/m3 or <0.15 ppm), the smoking habit may be regarded as a major source of benzene intake; among the study indices, U-benzene is the marker of choice for the biological monitoring of occupational and environmental exposure.

ortho-Cresol (o-C) and meta-cresol (m-C) are minor urinary metabolites of toluene, a widely used chemical with neurotoxicological properties. A new assay for their determination in human urine is here proposed. Urinary cresol sulphates and glucuronates are submitted to acid hydrolysis, urine is neutralized, added with o-cresols-d8, and analytes are sampled in the headspace of urine by SPME using a polydimethylsiloxane fiber. Analysis is performed by GC/MS using, for separation, either a SupelcoWax10 (for o-C) or a chiral CP Cresol (for o-C and m-C) column. The method is very specific, with a range of linearity 0-5.0 mg/l, within- and between-run precision, as coefficient of variation, <15% and <19%, limit of detection of 0.006 mg/l for o-C and 0.007 mg/l for m-C. The procedure is applied to the quantification of cresols in urine from workers exposed to toluene and from subjects belonging to the general population.

Ethylenethiourea (ETU) is a major metabolite of ethylenebisdithiocarbamate pesticides: a sensitive and specific assay for its determination in human urine is proposed below. ETU is extracted on a diatomaceous earth column using dichloromethane and derivatized with the mixture of N-(tert-butyldimethylsilyl)-N-methyltrifluoroacetamide and tert-butyldimethyilsilyl chloride. The derivative is analyzed using GC/MS in the EI/SIM mode. The whole procedure is carried out in the presence of ethylenethiourea-d(4) as internal standard. The analytical features of the method are: high specificity, >90% recovery, range of linearity 0-200 microg/L, within- and between-run precision as coefficient of variation, <17 and <20%, respectively, limit of quantification 2 microg/L. In specimens stored in the dark at -20 degrees C ETU is stable for at least 6 months. The procedure was successfully applied to the biological monitoring of vineyard workers exposed to EBDTC and of a matched group of subjects from the general population.

Recent studies have demonstrated that bacteria possess an essential protein translocation system similar to mammalian signal recognition particle (SRP). Here we have identified the Ffh, a homologue of the mammalian SRP54 subunit from S. pneumoniae. Ffh is a 58-kDa protein with three distinct domains: an N-terminal hydrophilic domain (N-domain), a G-domain containing GTP/GDP binding motifs, and a C-terminal methionine-rich domain (M-domain). The full-length Ffh and a truncated protein containing N and G domains (Ffh-NG) were overexpressed in E. coli and purified to homogeneity. The full-length Ffh has an intrinsic GTPase activity with k(cat) of 0.144 min(-1), and the K(m) for GTP is 10.9 microM. It is able to bind to 4.5S RNA specifically as demonstrated by gel retardation assay. The truncated Ffh-NG has approximately the same intrinsic GTPase activity to the full-length Ffh, but is unable to bind to 4.5S RNA, indicating that the NG domain is sufficient for supporting intrinsic GTP hydrolysis, and that the M domain is required for RNA binding. The interaction of S. pneumoniae Ffh with its receptor, FtsY, resulted in a 20-fold stimulation in GTP hydrolysis. The stimulation was further demonstrated to be independent of the 4.5S RNA. In addition, a similar GTPase stimulation is also observed between Ffh-NG and FtsY, suggesting that the NG domain is sufficient and the M domain is not required for GTPase stimulation between Ffh and FtsY.