PubMed Health⌕ Search

Biomedical subjects

R Tardif

Publications and source records attributed to R Tardif.

At least 19 recordsLinked to original sources
PubMed2005

Inhalation pharmacokinetics of ethylbenzene in B6C3F1 mice.

The objective of the present study was to characterize the inhalation pharmacokinetics of ethylbenzene (EB) in male and female B6C3F1 mice following single and repeated exposures. Initially, groups of 28 male and female mice were exposed for 4 h to 75, 200, 500, or 1000 ppm in order to determine potential non-linearity in the kinetics of EB. Then, groups of male and female mice were exposed for 6 h to 75 ppm and 750 ppm (corresponding to the NTP exposures) for 1 or 7 consecutive days, to evaluate whether EB kinetics was altered during repeated exposures, The maximal blood concentration (Cmax; mean+/-SD, n=4) observed in female mice at the end of a 4-h exposure to 75, 200, 500, and 1000 ppm was 0.53+/-0.18, 2.26+/-0.38, 19.17+/-2.74, and 82.36+/-16.66 mg/L, respectively. The areas under the concentration vs. time curve (AUCs) following 4-h exposure to 75, 200, 500, and 1000 ppm were 88.5, 414.0, 3612.2, and 19,104.1 mg/L/min, respectively, in female mice, and 116.7, 425.7, 3148.3, and 16,039.1 mg/L/min in male mice. The comparison of Cmax and the kinetic profile of EB in mice exposed to 75 ppm suggests that they are similar between 1-day and 7-day exposures. However, at 750 ppm, the rate of EB elimination would appear to be greater after repeated exposures than single exposure, the pattern being evident in both male and female mice. Overall, the single and repeated exposure pharmacokinetic data collected in the present study suggest that EB kinetics is saturable at exposure concentrations exceeding 500 ppm (and therefore at 750 ppm used in the NTP mouse cancer bioassay) but is in the linear range at the lower concentration used in the bioassay (75 ppm). These data suggest that consideration of the nature and magnitude of non-linear kinetics and induction of metabolism during repeated exposures is essential for the conduct of a scientifically sound analysis of EB cancer dose-response data collected in B6C3F1 mice.

Air Pollutants↗
PubMed2005

Physiologically based modeling of n-hexane kinetics in humans following inhalation exposure at rest and under physical exertion: impact on free 2,5-hexanedione in urine and on n-hexane in alveolar air.

We used a modified physiologically based pharmacokinetic (PBPK) to describe/predict n-hexane (HEX) alveolar air concentrations and free 2,5-HD urinary concentrations in humans exposed to n-HEX by inhalation during a typical workweek. The effect of an increase in workload intensity on these two exposure indicators was assessed and, using Monte Carlo simulation, the impact of biological variability was investigated. The model predicted HEX alveolar air concentrations at rest of 19.0 ppm (25 ppm exposure) and 38.7 ppm (50 ppm exposure) at the end of the last working day (day 5), while free 2,5-HD urinary concentrations of 3.4 micromol/L (25 ppm) and 6.3 micromol/L (50 ppm) were predicted for the same period (last 4.5 hours of Day 5). Monte Carlo simulations showed that the range of values expected to occur in a group of 1000 individuals exposed to 50 ppm of HEX (95% confidence interval) for free 2,5-HD (1.7-14.7 micromol/L) is much higher compared with alveolar air HEX (33.4-46 ppm). Simulations of exposure at 50 ppm with different workloads predicted that an increase in workload intensity would not greatly affect both indicators studied. However, the alveolar air HEX concentration is more sensitive to modifications of workload intensity and time of sampling, after the end of exposure, compared with 2,5-HD. The PBPK model successfully described the HEX alveolar air concentrations and free 2,5-HD urinary concentrations measured in human volunteers and is the first, to our knowledge, to describe the excretion kinetics of free 2,5-HD in humans over a 5-day period.

Exercise↗
PubMed2004

Comparison of unchanged n-hexane in alveolar air and 2,5-hexanedione in urine for the biological monitoring of n-hexane exposure in human volunteers.

INTRODUCTION AND AIM: Biological monitoring of n-hexane (HEX) is based on the measurement of urinary 2,5-hexanedione (2,5-HD). In 2001, the American Conference of Governmental Industrial Hygienists modified the biological exposure index (BEI) for HEX and suggested measuring free urinary 2,5-HD (without hydrolysis) (3.5 micromol/l) instead of total 2,5-HD (acid hydrolysis). This BEI value was derived from four field studies that involved worker exposures to variable concentrations of HEX and other solvents. This study was undertaken to characterize, for 5 consecutive days, the relationship between HEX exposure (25 ppm and 50 ppm) and (1). 2,5-HD urinary excretion and (2). HEX in alveolar air. METHODS: Five volunteers (three women, two men) were exposed to HEX in an exposure chamber for 2 non-consecutive weeks (7 h/day). They were exposed to 50 ppm HEX, during the first week and to 25 ppm during the second week. Alveolar air and urine samples were collected at different intervals before, during and after the exposures. The concentration of unchanged HEX in alveolar air and the concentration of urinary 2,5-HD under three analytical conditions (with acid, or enzymatic hydrolysis and without hydrolysis) were measured. RESULTS: The results show that the mean concentrations of HEX in alveolar air were 18 ppm (25 ppm) and 37 ppm (50 ppm), which indicates that approximately 73% of inspired HEX was expired unchanged in alveolar air by the volunteers. The mean (+/- SD) concentrations of urinary 2,5-HD for the last 4 h of exposure at the end of the week (day 5) following exposure to 50 ppm HEX were 30.4 micromol/l (+/-7.8 micromol/l) (acid hydrolysis); 5.8 micromol/l (+/-1.0 micromol/l) (enzymatic hydrolysis); 6.2 micromol/l (+/-0.9 micro mol/l) (without hydrolysis). Following the volunteers' exposure to 25 ppm HEX, the urinary excretion concentrations were 15.2 micromol/l +/- 1.9 micromol/l, 3.1 micromol/l +/- 0.7 micromol/l and 3.7 micromol/l +/- 0.5 micromol/l, respectively. CONCLUSION: Both free urinary 2,5-HD and HEX in alveolar air measurements could be used for the biological monitoring of HEX. Between these two indicators, HEX in alveolar air is less variable than 2,5-HD in urine, but the sampling time is more critical. Therefore, biological monitoring of HEX based on the measurement of free urinary 2,5-HD is preferable to HEX in alveolar air. Additionally, we believe that the 2,5-HD values reported in this study better reflect the actual levels of exposure to HEX alone than what has been previously reported in studies that involved co-exposure to other solvents, and that the current BEI value for HEX is most likely more protective than what has been believed up until now.

Adult↗
PubMed2003

Effects of peak concentrations on the neurotoxicity of styrene in volunteers.

The manufacture of fibreglass reinforced plastic products may give rise to substantial peak exposures to styrene. Such exposure patterns need further consideration in terms of styrene neurotoxicity. The aim of this study was to evaluate the neurotoxic effects of short-term peak exposures in volunteers, at levels respecting the Quebec occupational exposure limits (8 hours time weighed average of 213 mg/m3 and 15 min average of 426 mg/ m3). The volunteers had not been previously exposed to styrene and they had no documented exposure to known neurotoxicants during the study. Twenty-four volunteers were exposed to five exposure scenarios during 6 hours: a, stable exposure to 106 mg/m3; b, variable exposure with a mean concentration of 106 mg/m3 with four 15 min peaks mounting up to 213 mg/m3; c, stable exposure to 213 mg/m3; d, variable exposure with a mean concentration of 213 mg/m3 and four peaks of 426 mg/m3 and e, two stable exposures to 5 mg/m3 (control). Before and after each exposure scenario, volunteers were submitted to a battery of sensory tests (visual and olfactory), neuropsychological tests (reaction time, attention, memory, psychomotor function), and self-evaluation questionnaires (mood and symptoms) in a test-retest design. The results show that the different exposure scenarios involving peak exposures did not influence either the performance to any test or subjective signs and symptoms. However, due caution must be exercised in extrapolation of the current results to occupational exposure since only acute exposures were tested and volunteers were at rest during exposure, which resulted in lower doses than those experienced by physically active workers.

Administration, Inhalation↗
PubMed2001

A PBPK modeling-based approach to account for interactions in the health risk assessment of chemical mixtures.

The objectives of the present study were: (1) to develop a risk assessment methodology for chemical mixtures that accounts for pharmacokinetic interactions among components, and (2) to apply this methodology to assess the health risk associated with occupational inhalation exposure to airborne mixtures of dichloromethane, benzene, toluene, ethylbenzene, and m-xylene. The basis of the proposed risk assessment methodology relates to the characterization of the change in tissue dose metrics (e.g., area under the concentration-time curve for parent chemical in tissues [AUCtissue], maximal concentration of parent chemical or metabolite [Cmax], quantity metabolized over a period of time) in humans, during mixed exposures using PBPK models. For systemic toxicants, an interaction-based hazard index was calculated using data on tissue dose of mixture constituents. Initially, the AUCtarget tissue (AUCtt) corresponding to guideline values (e.g., threshold limit value [TLV]) of individual chemicals were obtained. Then, the AUCtt for each chemical during mixed exposure was obtained using a mixture PBPK model that accounted for the binary and higher order interactions occurring within the mixture. An interaction-based hazard index was then calculated for each toxic effect by summing the ratio of AUCtt obtained during mixed exposure (predefined mixture) and single exposure (TLV). For the carcinogenic constituents of the mixture, an interaction-based response additivity approach was applied. This method consisted of adding the cancer risk for each constituent, calculated as the product of q*tissue dose and AUCtt. The AUCtt during mixture exposures was obtained using an interaction-based PBPK model. The approaches developed in the present study permit, for the first time, the consideration of the impact of multichemical pharmacokinetic interactions at a quantitative level in mixture risk assessments.

Air Pollutants, Occupational↗
PubMed2000

Evaluation of the health risk associated with exposure to chloroform in indoor swimming pools.

The exposure of swimmers to chloroform (CHCl3) was investigated in indoor swimming pools of the Quebec City region along with the associated carcinogenic risk. Six training sessions involving 52 competition swimmers (11 to 20 yr old) were conducted in 3 different pools, while 12 adult leisure swimmers attended 5 sessions, each held in a different pool. For each session, water and ambient air CHCl3 concentrations were measured and CHCl3 levels in alveolar air samples (CHCl3 ALV) collected from swimmers prior to entering the swimming pool premises and after 15, 35, and 60 min of swimming. Mean water concentrations varied from 18 microg/L to 80 microg/L, while those in air ranged from 78 microg/m3 to 329 microg/m3. Multiple linear regression analyses revealed that CHCl3 ALV values in competition swimmers were strongly correlated to ambient air and water levels, and to a lesser degree to the intensity of training. Only ambient air concentration was positively correlated to CHCl3 ALV in the leisure group. Concentrations of CHCl3 metabolites bound to hepatic and renal macromolecules, estimated using a physiologically based pharmacokinetic (PBPK) model, were 1.6 and 1.9 times higher for the competition swimmers than for the leisure swimmers, respectively. The highest hepatic concentration predicted in competition swimmers, 0.22 microg CHCl3 equivalents/kg of tissue, was at least 10,000 times lower than the smallest no observed effect level for liver tumors in animals. Data indicate that the safety margin is therefore very large, for competitive swimmers as well as for leisure swimmers.

Adolescent↗
PubMed2000

Validation of a physiological modeling framework for simulating the toxicokinetics of chemicals in mixtures.

The objective of this study was to investigate the usefulness of a physiologically based toxicokinetic (PBTK) modeling framework for simulating the kinetics of chemicals in mixtures of varying complexities and composition. The approach involved the simulation of the kinetics of components in two situations: (i) when one of the mixture components was substituted with another (i.e., benzene in the benzene (B)-toluene (T)-ethyl benzene (E)-m-xylene (X) mixture was substituted with dichloromethane (D)), and (ii) when another chemical was added to the existing four-chemical mixture model (i.e., when D was added to the existing BTEX mixture model). In both cases, differing compositions of mixtures were used to obtain simulations and to generate experimental data on kinetics for validation purposes. Since the quantitative and qualitative mechanisms of interaction among B, T, E, and X have already been established, the mechanisms of binary interactions between D and the BTEX components (e.g., competitive, noncompetitive, or uncompetitive metabolic inhibition) were investigated in the present study. The analysis of rat blood kinetic data (4-h inhalation exposures, 50-200 ppm each) to all binary combinations (D-B, D-T, D-E, and D-X) investigated in the present study was suggestive of competitive metabolic inhibition as the plausible interaction mechanism. By incorporating the newly estimated values of metabolic inhibition constant (K(i)) for each of these binary combinations within the five-chemical PBTK model (i.e., for the DBTEX mixture), the model adequately predicted the venous blood kinetics of chemicals in rats following a 4-h inhalation exposure to various mixtures (mixture 1:100 ppm of D and 50 ppm each of T, E, and X; mixture 2: 100 ppm each of D, T, E, and X; mixture 3: 100 ppm of D and 50 ppm each of B, T, E, and X; mixture 4: 100 ppm each of D, B, T, E, and X). The results of the present study suggest that the PBTK model framework is useful for conducting extrapolations of the kinetics of chemicals from one mixture to another differing in complexity and composition, based on mechanistic considerations of interactions elucidated at the binary level.

Administration, Inhalation↗
PubMed2000

Evaluation of the pharmacokinetic interactions between orally administered trihalomethanes in the rat.

The blood kinetics of trihalomethanes has recently been reported to differ between an oral administration of any single trihalomethane (0.25 mmol/kg) [THMs: chloroform, bromoform, bromodichloromethane (BDCM), dibromochloromethane (DBCM)] and a combined administration of 0.25 mmol/kg of each of the 4 THMs. The significant increase in blood concentrations of THMs could be a consequence of pharmacokinetic interactions between two or more of the THMs present simultaneously. The objective of the present study was to characterize the blood kinetics of THMs following oral administration singly or as binary mixtures in order to assess the relative contribution of each THM to the kinetic interferences observed with the quaternary mixture. A single dose of each THM (0.5 mmol/kg) alone or of a binary mixture containing 0.5 mmol/kg of each THM was administered by gavage to male Sprague-Dawley rats. The venous blood concentrations of unchanged THMs were measured for up to 720 min postadministration by headspace gas chromatography. Results showed that, compared to single administration, each binary mixture caused a significant increase in the blood concentrations of both THMs present and this effect increased with time. The impact, however, was not similar for each mixture, especially during the first hour following administration of the compounds (bromoform and DBCM). Among the four THMs, bromoform and DBCM kinetics appeared to be more sensitive to the mixture effect and to exert the greatest impact on the kinetics of the second THM present in the mixture. Simulation exercises conducted with physiologically based toxicokinetic models suggest metabolic inhibition as the possible mechanism of the interaction between THMs. In conclusion, the results of this study show that, at the dose level investigated, every binary combination of THMs, when orally administered, resulted in a significant modulation of their pharmacokinetics and suggest that this is probably the consequence of a mutual metabolic inhibition between the THMs.

Administration, Oral↗
PubMed1999

Physiological modeling of the toxicokinetic interactions in a quaternary mixture of aromatic hydrocarbons.

The available data on binary interactions are yet to be considered within the context of mixture risk assessments because of our inability to predict the effect of a third or fourth chemical in the mixture on the interacting binary pairs. Physiologically based toxicokinetic (PBTK) models represent a framework that can be potentially used for predicting the impact of multiple interactions on component kinetics at any level of complexity. The objective of this study was to develop and validate an interaction-based PBTK model for simulating the toxicokinetics of the components of a quaternary mixture of aromatic hydrocarbons [benzene (B), toluene (T), ethylbenzene (E), m-xylene (X)] in the rat. The methodology consisted of: (1) obtaining and refining the validated individual chemical PBTK models from the literature, (2) interconnecting all individual chemical PBTK models at the level of liver on the basis of the mechanism of binary chemical interactions (e.g., competitive, noncompetitive, or uncompetitive metabolic inhibition), and (3) comparing the a priori predictions of the interaction-based model to corresponding experimental data on venous blood concentrations of B, T, E, and X during mixture exposures. The analysis of blood kinetics data from inhalation exposures (4 h, 50-200 ppm each) of rats to all binary combinations of B, T, E, and X was suggestive of competitive metabolic inhibition as the plausible interaction mechanism. The metabolic inhibition constant (K(i)) for each binary combination was quantified and incorporated within the mixture PBTK model. The binary interaction-based PBTK model predicted adequately the inhalation toxicokinetics of all four components in rats following exposure to mixtures of BTEX (50 ppm each of B, T, E, and X, 4 h; 100 ppm each of B, T, E and X, 4 h; 100 ppm B + 50 ppm each of T, E, and X, 4 h). The results of the present study suggest that data on interactions at the binary level alone are required and sufficient for predicting the kinetics of components in complex mixtures.

Administration, Inhalation↗
PubMed1999

A modeling approach to account for toxicokinetic interactions in the calculation of biological hazard index for chemical mixtures.

Biological hazard index (BHI) is defined as biological level tolerable for exposure to mixture, and is calculated by an equation similar to the conventional hazard index. The BHI calculation, at the present time, is advocated for use in situations where toxicokinetic interactions do not occur among mixture constituents. The objective of this study was to develop an approach for calculating interactions-based BHI for chemical mixtures. The approach consisted of simulating the concentration of exposure indicator in the biological matrix of choice (e.g. venous blood) for each component of the mixture to which workers are exposed and then comparing these to the established BEI values, for calculating the BHI. The simulation of biomarker concentrations was performed using a physiologically-based toxicokinetic (PBTK) model which accounted for the mechanism of interactions among all mixture components (e.g. competitive inhibition). The usefulness of the present approach is illustrated by calculating BHI for varying ambient concentrations of a mixture of three chemicals (toluene (5-40 ppm), m-xylene (10-50 ppm), and ethylbenzene (10-50 ppm)). The results show that the interactions-based BHI can be greater or smaller than that calculated on the basis of additivity principle, particularly at high exposure concentrations. At lower exposure concentrations (e.g. 20 ppm each of toluene, m-xylene and ethylbenzene), the BHI values obtained using the conventional methodology are similar to the interactions-based methodology, confirming that the consequences of competitive inhibition are negligible at lower concentrations. The advantage of the PBTK model-based methodology developed in this study relates to the fact that, the concentrations of individual chemicals in mixtures that will not result in a significant increase in the BHI (i.e. > 1) can be determined by iterative simulation.

Animals↗
PubMed1999

Influence of oral administration of a quaternary mixture of trihalomethanes on their blood kinetics in the rat.

Trihalomethanes (THMs; chloroform, bromoform, bromodichloromethane, dibromochloromethane), formed as by-products of chlorine disinfection, are found to occur in combination in drinking water supplies. THMs are metabolized by cytochromes P-450 and are likely substrates of CYP2E1. Therefore, it is possible that mixed exposure results in toxicokinetic interactions among THMs. The toxicokinetics of THMs during mixed exposures has not been investigated previously. The purpose of this study was to characterize the blood kinetics of the four THMs administered singly or in combination in the rat. A single dose of 0.25 mmol/kg or 0.5 mmol/kg b.w., of each THM alone, or of a quaternary mixture containing 0.25 mmol/kg of each THM (total dose of 1.0 mmol/kg) was administered by gavage. The venous blood concentrations of the THMs were measured by headspace gas chromatography (GC) at 20, 40, 60, 120, 180, 270 and 360 min post-administration. Results showed a nonlinear relationship between the area under the blood concentration versus time curves (AUCs) and administered doses of THMs, suggesting that metabolism is saturated in this dose range. The venous blood concentrations of THMs following administration of the quaternary mixture were significantly higher compared to single exposures. The altered kinetics of THMs during combined exposures is consistent with the occurrence of mutual inhibition of their hepatic metabolism. Simulation exercises conducted with physiologically based toxicokinetic models support metabolic inhibition as the possible mechanism of the interaction among THMs. The data reported in this study provide the starting point for evaluating the significance of interactions among THMs in the risk assessment process.

Administration, Oral↗
PubMed1999

o-cresol: a good indicator of exposure to low levels of toluene.

This study evaluates the suitability of using urinary excretion of o-cresol (o-CR) as a biological marker of occupational exposure to various concentrations of toluene (TOL). Thirty-eight individuals from three plants involved in the manufacture of paints or inks agreed to participate in the environmental and biological monitoring evaluations, which lasted one to two days. In all, 62 measurements of environmental TOL and urinary o-CR and hippuric acid (HA) levels were made. The eight-hour TOL exposure (time-weighted average [TWA]) ranged from 0 to 111 ppm, depending on plant and job title. TOL exposure was well correlated to post-shift urinary o-CR (r = 0.89) and HA (r = 0.67) levels. At low exposure levels (below 50 ppm), however, o-CR shows a stronger correlation (r = 0.71) than HA (r = 0.24). Based on our results, occupational exposure to 50 ppm of TOL would result in end-of-shift urinary o-CR concentration of 0.72 mumol/mmol creatinine (0.69 mg/L, assuming a urinary creatinine concentration of 1 g/L). This value is of the same order of magnitude as the level proposed by the American Conference of Governmental Industrial Hygienists (ACGIH) in 1998 for exposure to 50 ppm of TOL, namely 0.5 mg/L. Our results suggest that the level of urinary o-CR is a more sensitive index of exposure to low concentrations of TOL than is the urinary concentration of HA.

Chromatography, Gas↗
PubMed1999

The importance of measured end-points in demonstrating the occurrence of interactions: a case study with methylchloroform and m-xylene.

Mixed exposures may result in significant changes in one biomarker of exposure without altering another biomarker, and this may have unknown significance in terms of exposure assessment and overall toxicity of the mixture. Results from a previous investigation showed that human exposure to methylchloroform (MC, 400 ppm) and m-xylene (XYL, 200 ppm) during 4 h did not result in any significant effect on blood concentrations of these solvents, suggesting the absence of interaction between MC and XYL. Those results were adequately described by conducting a physiologically-based toxicokinetic (PBTK) modeling of the MC-XYL interaction in humans; however, the model suggested that urinary excretion of MC metabolites would be reduced as a result of combined exposure, whereas that of XYL metabolites would not be modified. An experimental verification of this model prediction was then undertaken with rats. In this study, Sprague-Dawley rats (n, 5) were exposed during 4 h to MC (400 ppm) or XYL (200 ppm), alone or as a mixture. Results showed that combined exposure did not affect the blood concentration of MC whereas that of XYL was increased throughout the 2-h blood collection period following exposure. The excretion of MC metabolites during a period of 48 h following the onset of exposure, i.e., trichloroethanol (TCE: -71%) and trichloroacetic acid (TCA: -73%), were significantly reduced. Methylhippuric acid (MHA) was not affected by co-exposure to MC as expected from the PBTK model forecasts. These results exemplify the use of a priori PBPK modeling for designing interaction studies and choosing appropriate/sensitive end-points for demonstrating the occurrence of potential interactions.

Animals↗
PubMed1997

Physiologically based pharmacokinetic modeling of a ternary mixture of alkyl benzenes in rats and humans.

The objective of the present study was to develop a physiologically based pharmacokinetic (PBPK) model for a ternary mixture of alkyl benzenes [toluene (TOL), m-xylene (XYL), and ethylbenzene (EBZ)] in rats and humans. The approach involved the development of the mixture PBPK model in the rat and extrapolation to humans by substituting rat physiological parameters and blood:air partition coefficients in the model with those of humans, scaling maximal velocity for metabolism on the basis of body weight0.75 and keeping all other model parameters species-invariant. The development of the PBPK model for the ternary mixture in the rat was accomplished by initially validating or refining the existing PBPK models for TOL, XYL, and EBZ and linking the individual chemical models via the hepatic metabolism term. Accordingly, the Michaelis-Menten equation for each solvent was modified to test four possible mechanisms of metabolic interaction (i.e., no interaction, competitive inhibition, noncompetitive inhibition, and uncompetitive inhibition). The metabolic inhibition constant (Ki) for each binary pair of alkyl benzenes was estimated by fitting the binary chemical PBPK model simulations to previously published data on blood concentrations of TOL, XYL, and EBZ in rats exposed for 4 hr to a binary combination of 100 or 200 ppm of each of these solvents. Competitive metabolic inhibition appeared to be the most plausible mechanism of interaction at relevant exposure concentrations for all binary mixtures of alkyl benzenes in the rat (Ki,TOL-XYL = 0.17; Ki,TOL-EBZ = 0.79; Ki,XYL-TOL = 0.77; Ki,XYL-EBZ = 1.50; Ki,EBZ-TOL = 0.33; Ki,EBZ-XYL = 0.23 mg/L). Incorporating the Ki values obtained with the binary chemical mixtures, the PBPK model for the ternary mixture simulated adequately the time course of the venous blood concentrations of TOL, XYL, and EBZ in rats exposed to a mixture containing 100 ppm each of these solvents. Following the validation of the ternary mixture model in the rat, it was scaled to predict the kinetics of TOL, XYL, and EBZ in blood and alveolar air of human volunteers exposed for 7 hr to a combination of 17, 33, and 33 ppm, respectively, of these solvents. Model simulations and experimental data obtained in humans indicated that exposure to atmospheric concentrations of TOL, XYL, and EBZ that remain within the permissible concentrations for a mixture would not result in biologically significant modifications of their pharmacokinetics. Overall, this study demonstrates the utility of PBPK models in the prediction of the kinetics of components of chemical mixtures, by accounting for mechanisms of binary chemical interactions.

Animals↗
PubMed1997

Rate of pyrene metabolism in rat liver post-mitochondrial fractions.

The objective of the present study was to estimate the maximal velocity (Vmax) and Michaelis affinity constant (Km) for the oxidation of pyrene to 1-hydroxypyrene using rat liver post-mitochondrial fractions. The approach involved the determination of the concentrations of 1-hydroxypyrene formed during 5 min incubations of pyrene (initial concentrations: 0.0025-0.5 microM), and correcting for the rate of 1-hydroxypyrene disappearance (2.16 x 10(-5) per (mg protein/l)/min) during the incubation period. The Vmax and Km for pyrene metabolism in the rat corresponded to 0.0577 +/- 0.0108 micromol/min per g liver and 27.73 +/- 13.54 microM, respectively. The intrinsic clearance (CL(int)) of pyrene in the rat estimated in the present study (0.041-0.111 l/min per kg) was within the range of the previously reported CL(int) in humans (0.037-0.125 l/min per kg). The results of this study suggest that CL(int) of pyrene in humans can be predicted from such data obtained in the rat.

Animals↗
PubMed1996

Comparison of the influence of binary mixtures versus a ternary mixture of inhaled aromatic hydrocarbons on their blood kinetics in the rat.

The objective of the present study was to compare the influence of various binary mixtures containing ethylbenzene (EBZ), toluene (TOL) or xylene (XYL) administered by inhalation, with the influence exerted by a ternary mixture, on the kinetics of these solvents in blood. Groups of four rats were exposed for 4 h to TOL, XYL and EBZ, singly or in combination. The concentration of TOL, XYL and EBZ in blood was measured at various times (5, 30, 60, 90 and 120 min) following the end of exposure and the areas under the blood concentration curves (AUC) were calculated. Results showed that exposures to binary and ternary mixtures resulted in significantly higher (P < 0.05) blood concentrations of unchanged solvents as a result of metabolic interaction between these solvents. When the comparison was based on individual solvents, there was no difference between effect exerted by the ternary mixture and the binary mixtures, except for one. However, a comparison based on the total concentration of unchanged solvents disclosed that exposure to the ternary mixture resulted in greater interactive effects (3.17-fold increase) than exposures to binary mixtures (1.97-fold increase), whereas four out of six binary mixtures produced higher total levels of unchanged solvents in blood compared to the ternary mixture. This study shows that the greater risk of toxicity often thought to be associated with exposures to complex mixtures should not only be related to the magnitude of interactive effects among components (i.e., degree of mutual metabolic interaction) resulting from combined exposures, but also should take into account, as is universally recognized, the internal total dose of toxic chemicals in target organs/tissues.

Administration, Inhalation↗
PubMed1996

Gas chromatographic determination of urinary o-cresol for the monitoring of toluene exposure.

A sensitive and reproducible gas chromatographic procedure for the quantitative determination of urinary o-cresol is described. The first step involves acid hydrolysis (2N HCl, 100 degrees C, 10 min), which yields unconjugated o-cresol. After extraction (methylene chloride, pH 2), the organic layer is concentrated by evaporation and samples are analyzed by gas chromatography-flame ionization detection with a DB-5 column (30 m x 0.25 mm, 0.25 microns). Initial oven temperature is set at 30 degrees C for 12 min and the increased 2 degrees C/min to 93 decrees C. 3,4-Dimethylphenol is used as the internal standard. The detection limit of the method is 0.36 mumol/L (1 microL injection). Additional validation data were obtained by analysis of urine samples collected from volunteers exposed to various concentrations of toluene: 10, 20, 30, 50, and 100 ppm over 7 h. Urinary o-cresol concentrations (0-3, 3-7, 7-24, and 0-24 h) were highly correlated with toluene exposure.

Chromatography, Gas↗
PubMed1995

Effect of various exposure scenarios on the biological monitoring of organic solvents in alveolar air. II. 1,1,1-Trichloroethane and trichloroethylene.

The purpose of the present study was to investigate the influence of different exposure scenarios on the elimination of trichloroethylene (TRI) and 1,1,1-trichloroethane (1,1,1-TRI) in alveolar air and other biological fluids in human volunteers. In addition, it was sought to establish an interactive process between experimental data gathering and simulation modeling in an attempt to predict the influence of the different scenarios of exposure to TRI and 1,1,1-TRI on their respective biological monitoring indices and thus to establish the flexibility and validity of simulation models. Two adult male and two adult female Caucasian volunteers were exposed by inhalation, in a dynamic controlled exposure chamber, to various concentrations of TRI (12.5-25 ppm) or 1,1,1-TRI (87.5-175 ppm) in order to establish the influence of exposure concentration, duration of exposure, variation of concentration within day, and work load on biological exposure indices. The concentrations of unchanged solvents in end-exhaled air and in blood as well as the urinary excretion of trichloroethanol (TCE) and trichloroacetic acid (TCA) were determined. The results show that doubling the exposure concentration for both solvents led to a proportional increase in the concentrations of unchanged solvents in alveolar air and blood at the end of a 7-h exposure period; this proportionality was still observable in 1,1,1-TRI expired air samples 16 h after the end of the third exposure day. In the case of urinary excretion of TCE and TCA, the proportionality between excretion and exposure concentration was not as good. It was once again observed that the slow excretion of both metabolites leads to progressive cumulation and that their urinary determination is subject to considerable interindividual variations. After adjustment (lowering) of the exposure concentration to account for a prolongation of the duration of exposure (from 8 to 12 h) it was observed that the concentrations of TRI or 1,1,1-TRI towards the end of both exposure periods are more a reflection of the actual exposure concentration than of the exposure duration. Despite important interindividual variations, these adjusted and nonadjusted exposures led to almost identical average total urinary excretion over 24 h) of TCE and TCA after exposure to 1,1,1-TRI, as was also the case for TCE but not for TCA after exposure to TRI. Induced within-day variations in the exposure concentration led to corresponding but not proportional changes in alveolar air concentrations for both solvents. After exposure to peak concentrations there was a lag period before alveolar air concentrations returned to prepeak levels. At the end of repeated 10-min periods of physical exercise at 50 W, alveolar air concentrations of TRI were increased by 50% while those of 1,1,1-TRI increased by only 12%. After optimization of the physiologically based toxicokinetic model parameters with experimental data collected during the first exposure scenario, results pertaining to the three other scenarios were adequately simulated by the optimized models. Overall, the results of the present study suggest that alveolar air solvent concentration is a reliable index of exposure to both TRI and 1,1,1-TRI under various experimental exposure scenarios. These results also suggest that urinary excretion of TCE and TCA must be interpreted with caution when assessing exposure to either solvents. For exposure situations likely to be encountered in the workplace, physiologically based toxicokinetic modeling appears to be a useful tool both for developing strategies of biological monitoring of exposure to volatile organic solvents and for predicting alveolar air concentrations under a given set of exposure conditions.

Adult↗