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M A Medinsky

Publications and source records attributed to M A Medinsky.

At least 37 records · Page 2Linked to original sources

The use of toxicologic data in mechanistic risk assessment: 1,3-butadiene as a case study.

The National Research Council (NRC) recently published a report. Science and Judgment in Risk Assessment, that critiqued the current approaches to characterizing human cancer risks from exposure to chemicals. One issue raised in the report relates to the use of default options for quantitation of cancer risks. Default options are general guidelines that can be used for risk assessment when specific information about a chemical is absent. Research on 1,3-butadiene represents an interesting case study in which existing knowledge on this chemical indicates that two default options may no longer be tenable: (1) humans are as sensitive as the most sensitive animal species, and (2) the rate of metabolism is a function of body surface area rather than inherent species differences in metabolic capacity. Butadiene, a major commodity chemical used in the production of synthetic rubber, is listed as one of 189 hazardous air pollutants under the 1990 Clean Air Act Amendments. Butadiene is a carcinogen in rats and mice, with mice being substantially more sensitive than rats. The extent to which butadiene poses a cancer risk to humans exposed to this chemical is uncertain. Butadiene requires metabolic activation to DNA-reactive epoxides to exert its mutagenic and carcinogenic effects. Research is directed toward obtaining a better understanding of the cancer risks of butadiene in humans by evaluating species-dependent differences in the formation of the toxic butadiene epoxide metabolites, epoxybutene and diepoxybutane. The data include in-vitro studies on butadiene metabolism using tissues from humans, rats, and mice as well as experimental data and physiological model predictions for butadiene in blood and butadiene epoxides in blood, lung, and liver after exposure of rats and mice to inhaled butadiene. The findings suggest that humans are more like rats and less like mice regarding the formation of butadiene epoxides. The research approach employed can be a useful strategy for developing mechanistic and toxicokinetic data to supplant default options used in carcinogen risk assessments for butadiene.

Animals↗

Mechanistic considerations in benzene physiological model development.

Benzene, an important industrial solvent, is also present in unleaded gasoline and cigarette smoke. The hematotoxic effects of benzene in humans are well documented and include aplastic anemia, pancytopenia, and acute myelogenous leukemia. However, the risks of leukemia at low exposure concentrations have not been established. A combination of metabolites (hydroquinone and phenol, for example) may be necessary to duplicate the hematotoxic effect of benzene, perhaps due in part to the synergistic effect of phenol on myeloperoxidase-mediated oxidation of hydroquinone to the reactive metabolite benzoquinone. Because benzene and its hydroxylated metabolites (phenol, hydroquinone, and catechol) are substrates for the same cytochrome P450 enzymes, competitive interactions among the metabolites are possible. In vivo data on metabolite formation by mice exposed to various benzene concentrations are consistent with competitive inhibition of phenol oxidation by benzene. In vitro studies of the metabolic oxidation of benzene, phenol, and hydroquinone are consistent with the mechanism of competitive interaction among the metabolites. The dosimetry of benzene and its metabolites in the target tissue, bone marrow, depends on the balance of activation processes such as enzymatic oxidation and deactivation processes such as conjugation and excretion. Phenol, the primary benzene metabolite, can undergo both oxidation and conjugation. Thus the potential exists for competition among various enzymes for phenol. Zonal localization of phase I and phase II enzymes in various regions of the liver acinus also impacts this competition. Biologically based dosimetry models that incorporate the important determinants of benzene flux, including interactions with other chemicals, will enable prediction of target tissue doses of benzene and metabolites at low exposure concentrations relevant for humans.

Animals↗

Development of physiologically based pharmacokinetic model for methyl tertiary-butyl ether and tertiary-butanol in male Fisher-344 rats.

Methyl tertiary-butyl ether (MTBE) and its metabolite tertiary-butanol (TBA) both cause renal tumors in chronically exposed male rats. Knowledge of the kinetic behavior of MTBE and TBA in rats and its comparison to the kinetics of these chemicals in humans will aid in assessing human risk. The objective of this study was to develop a physiologically based pharmacokinetic (PBPK) model for MTBE and TBA in rats that will form the basis for a human model. Physiological parameters such as blood flows, tissue volumes, and alveolar ventilation were obtained from the literature. Chemical-specific parameters such as the solubility of MTBE and TBA in blood and selected tissues and metabolic rate constants to describe whole-body metabolism of MTBE in rats were measured using vial equilibration and gas uptake techniques, respectively. MTBE metabolism was described in the model as occurring through two saturable pathways. The model was able to predict gas uptake data (100 to 2000 ppm starting concentrations) and levels of MTBE in blood of rats exposed to MTBE by inhalation (400 to 8000 ppm, 6 hr), i.v. (40 mg/kg), and oral (40 or 400 mg/kg) administration. Two different models to describe the dosimetry of TBA in a rat were tested for their ability to predict TBA blood levels after MTBE exposure. TBA blood levels were predicted best at low MTBE exposure concentrations using a two-compartment model. The pharmacokinetics of TBA appear to be far more complex than those of MTBE, and additional experimental data on TBA distribution and elimination will be necessary to refine the submodel. With a quantitative description of the important determinants of MTBE and TBA dosimetry understood, a better assessment of the potential toxic and cancer risk for humans exposed to MTBE can be made.

Administration, Inhalation↗

Benzene: a case study in parent chemical and metabolite interactions.

Benzene, an important industrial solvent, is also present in unleaded gasoline and cigarette smoke. The hematotoxic effects of benzene in humans are well documented and include aplastic anemia and pancytopenia, and acute myelogenous leukemia. A combination of metabolites (hydroquinone and phenol for example) is apparently necessary to duplicate the hematotoxic effect of benzene, perhaps due in part to the synergistic effect of phenol on myeloperoxidase-mediated oxidation of hydroquinone to the reactive metabolite benzoquinone. Since benzene and its hydroxylated metabolites (phenol, hydroquinone and catechol) are substrates for the same cytochrome P450 enzymes, competitive interactions among the metabolites are possible. In vivo data on metabolite formation by mice exposed to various benzene concentrations are consistent with competitive inhibition of phenol oxidation by benzene. In vitro studies of the metabolic oxidation of benzene, phenol and hydroquinone are consistent with the mechanism of competitive interaction among the metabolites. The dosimetry of benzene and its metabolites in the target tissue, bone marrow, depends on the balance of activation processes such as enzymatic oxidation and deactivation processes such as conjugation and excretion. Phenol, the primary benzene metabolite, can undergo both oxidation and conjugation. Thus, the potential exists for competition among various enzymes for phenol. However, zonal localization of Phase I and Phase II enzymes in various regions of the liver acinus regulates this competition. Biologically-based dosimetry models that incorporate the important determinants of benzene flux, including interactions with other chemicals, will enable prediction of target tissue doses of benzene and metabolites at low exposure concentrations relevant for humans.

Administration, Oral↗

The application of physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) modeling to understanding the mechanism of action of hazardous substances.

Much of toxicology research is focused on elucidating the nature of the mechanisms through which various xenobiotics exert their toxic effects. The central issue in extrapolating laboratory experiments to the human situation is whether mechanisms which are operative in laboratory animals are similar to mechanisms operating in humans. The underlying assumption is that understanding mechanisms permits rational extrapolation between species, across routes of exposure, or from high to low doses. There are two general classes of mechanisms of action. First, there are the mechanisms that result in the translation of an exposure concentration to the effective dose at the target site. The mechanisms that are operative at a pharmacokinetic level include those that are physiologically driven and those that are metabolically based. Second are mechanisms through which the dose at the target site elicits the ultimate adverse response. These are pharmacodynamic in nature and refer to the action of the effective dose at the target site. Altered gene regulation, cytotoxicity, and cell proliferation are examples of processes involving potential adverse effects at the target site. A quantitative understanding of the mechanisms involved in going from exposure to dose and dose to response can aid in answering the question of whether or not these mechanisms in animals and humans are similar or different.

Animals↗

Health risk assessment of chemical mixtures from a research perspective.

Human exposures to chemicals in the environment and workplace typically involve chemical mixtures. One of the key risk assessment issues for mixtures is that of extrapolation from high to low dose. Observation of an interaction among chemicals in a mixture at high concentrations in animals does not necessarily mean that the same effect, in type or magnitude, will be significant in humans exposed to lower concentrations of the mixture. Physiologically based toxicokinetic (PBTK) models can be used to assist in the extrapolation from high to low dose. Mechanisms observed in animals such as competitive inhibition of xenobiotic metabolism (e.g., butadiene and styrene or benzene and toluene) can be incorporated into PBTK models. The models can then be used to predict the magnitude of the interactive effects at high and low exposure concentrations. The most relevant predictions can then be tested using selected experiments. A research strategy involving hypothesis generation through quantitative modeling and testing through laboratory-based experiments may be the most effective strategy for addressing the complex issue of human health risks from exposures to chemical mixtures.

Animals↗

Recent developments in methanol toxicity.

The disposition of methanol and its putative toxic metabolite formate has been studied in humans, non-human primates, and rodents after exposure to high, neurotoxic doses. The rate at which rodents detoxify formate is more rapid than that of primates. Formate, an endogenous biological substrate, is detoxified by metabolism to CO2 via a tetrahydrofolate-(THF) dependent pathway. Species with high hepatic THF levels, such as rodents, are less sensitive to the neurotoxic effects of large methanol doses compared with species with low THF levels, such as primates. Data on the capacity of primates to detoxify formate derived from inhalation of low levels of methanol are critical for assessing human risk from methanol fuels. Female cynomolgus monkeys exposed to low concentrations of [14C]methanol (10-200 ppm) for 2 h have blood levels of methanol-derived formate that are 100- to 1000-fold lower than endogenous levels of formate. Healthy human volunteers exposed at rest or during exercise to 200 ppm methanol for 6 h or exposed to 20 mg/kg orally have elevated blood levels of methanol, but blood formate concentrations are not significantly increased above endogenous concentrations. Deficiencies in THF may prolong blood levels of formate and increase the likelihood of toxic effects. Limited studies in non-human primates with low THF levels exposed to 900 ppm methanol for 2 h have shown that concentrations of methanol-derived formate in blood remain below endogenous levels. Thus human populations may not be at added risk of neurotoxic effects resulting from exposure to low levels of methanol.

Animals↗

Dose-, route-, and sex-dependent urinary excretion of phenol metabolites in B6C3F1 mice.

Phenol is the major oxidized metabolite of benzene, a known human leukemogen and ubiquitous environmental pollutant. Unlike benzene, phenol does not induce tumors in mice following oral exposure; benzene also exhibits sex-related differences in genotoxicity to bone marrow cells that are not observed following phenol administration. We studied the urinary excretion of phenol metabolites in mice as a means to further investigate the metabolic basis for differences in benzene- and phenol-induced toxicity. Male and female B6C3F1 mice (n = 3/group) were exposed to 15, 40, 100, or 225 mumol [14C]phenol/kg by i.v. tail vein injection (6 microCi/mouse). First-pass intestinal metabolism of phenol was evaluated by comparison of urinary excretion of phenol metabolites following i.v. administration with additional groups of male mice that received the same dose levels by oral gavage. Mice were placed in glass metabolism cages, and urine was collected over dry ice for 48 h. Urinary metabolites were separated by high-pressure liquid chromatography (HPLC) and quantified by liquid scintillation spectrometry. Urinary excretion of conjugated metabolites of phenol was dose-dependent in both male and female mice administered phenol by i.v. injection or gavage. The major urinary metabolites of phenol were phenol sulfate (PS), phenol glucuronide (PG), and hydroquinone glucuronide (HQG). Sulfation was the dominant pathway at all dose levels, but decreased as a percent of the excreted dose with a concomitant increase in glucuronidation as the dose level increased. Male mice consistently excreted a higher proportion of phenol as the oxidized conjugated metabolite, HQG, compared to female mice, suggesting that male mice oxidize phenol to hydroquinone more rapidly than female mice. Increased oxidation of phenol to hydroquinone by male mice compared to female mice is consistent with both the greater sensitivity of male mice to the genotoxic effects of benzene and the greater potency of hydroquinone compared to phenol as a genotoxicant. Intestinal conjugation of phenol prior to absorption was significant only at low doses and thus alone does not provide an explanation for the lack of carcinogenicity of phenol in bioassays conducted at much higher dose levels.

Administration, Oral↗

In vitro conjugation of benzene metabolites by human liver: potential influence of interindividual variability on benzene toxicity.

In addition to industrial sources, benzene is present in the environment as a component of cigarette smoke and automobile emissions. Toxicity of benzene most likely results from oxidative metabolism of benzene to reactive products. However, susceptibility to these toxic effects may be related to a balance between activation (phase I) and detoxication (phase II) reactions. In the present study, we have estimated kinetic parameters of the two major detoxication reactions for benzene metabolites--phenol sulfation and hydroquinone glucuronidation--in liver subcellular fractions from 10 humans, and single samples from mice and rats. The extent of oxidative metabolism of benzene by these liver samples has been reported previously. Here, initial rates of phenol sulfation varied 3-fold (range 0.309-0.919 nmol/mg protein/min) among human samples. Measured rates were faster in rats (1.195 nmol/mg protein/min) than in mice (0.458 nmol/mg protein/min). Initial rates of hydroquinone glucuronidation by human samples also varied 3-fold (range 0.101-0.281 nmol/mg protein/min). Hydroquinone glucuronidation was more rapid by mouse microsomes (0.218 nmol/mg protein/min) than by rat microsomes (0.077 nmol/mg protein/min). To integrate interindividual differences in various enzyme activities, a physiological compartmental model was developed that incorporates rates of both conjugation reactions and oxidation reactions. Model equations were solved for steady-state concentrations of phenol and hydroquinone attained in human, mouse and rat blood during continuous exposure to benzene (0.01 microM in blood). Among the 10 human subjects, steady-state concentrations of phenol varied 6-fold (range 0.38-2.17 nM) and steady-state concentrations of hydroquinone varied 5-fold (range 6.66-31.44 nM). Predicted steady-state concentrations of phenol were higher in mice compared with rats (2.28 and 0.83 nM respectively). Likewise, higher steady-state concentrations of hydroquinone were predicted in mice than in rats (42.44 and 17.99 nM respectively). Predicted steady-state concentrations of phenol and hydroquinone in mice were higher than predictions for the 10 human subjects, whereas predicted concentrations for rats fell among the human values. As such, our results underscore the importance of considering the balance between activation and detoxication reactions in the elimination of toxicants. Model simulations suggest that both phase I and phase II pathways influence the relative risk from exposure to benzene.

Adolescent↗

Pharmacokinetic modeling approaches for describing the uptake, systemic distribution, and disposition of inhaled chemicals.

A fundamental relationship in toxicology is that an external chemical exposure leading to an internal tissue dose can result in an adverse biological response. An understanding of these relationships in experimental animals is often used to extrapolate and predict the potential risk to humans following exposure to toxic chemicals. The exposure-dose-response relationships for volatile compounds inhaled by the lungs are complicated by the fact that many toxic effects caused by these chemicals have been identified in tissues and organ systems other than the lungs. Pharmacokinetic modeling approaches have been devised to quantitate the relationships between inhaled concentrations of volatile compounds and the resulting critical tissue doses in experimental animals. These animal models have also been extrapolated to predict chemical disposition in humans for estimation of human health risks. This communication reviews three pharmacokinetic descriptions, each representing different levels of complexity, that have been used to assess chemical disposition of inhaled, volatile chemicals. The mathematical structures, assumptions, data needs, and risk assessment capabilities of each modeling approach are described.

Administration, Inhalation↗

Pharmacokinetics of inhaled [14C]methanol and methanol-derived [14C]formate in normal and folate-deficient cynomolgus monkeys.

Large-scale use of methanol (MeOH) as an automotive fuel may increase exposure of the public to MeOH vapor, necessitating the need for additional data for an adequate human health risk assessment. Formate is accepted as the toxic metabolite of MeOH, its metabolism is folate-dependent, and potentially sensitive folate-deficient subpopulations (e.g., pregnant women) exist that may be at higher risk to low-level methanol exposure. This study determined the pharmacokinetics of [14C]MeOH and [14C]formate in normal and folate-deficient (FD) monkeys following inhalation of environmentally relevant concentrations of [14C]MeOH. Four normal adult female cynomolgus monkeys were anesthetized (isoflurane) and exposed by lung-only inhalation to 10, 45, 200, and 900 ppm [14C]MeOH for 2 hr. Monkeys were then placed on a FD diet until folate concentrations consistent with moderate deficiency (29-107 ng/ml) developed in red blood cells and then reexposed to 900 ppm (900-FD) for 2 hr. Average (+/- SD) end-of-exposure blood [14C]MeOH concentrations were 0.65 +/- 0.3, 3.0 +/- 0.8, 21 +/- 16, 106 +/- 84, and 211 +/- 71 microM, while average (+/- SD) peak blood [14C]formate concentrations were 0.07 +/- 0.02, 0.25 +/- 0.09, 2.3 +/- 2.9, 2.8 +/- 1.7, and 9.5 +/- 4.7 microM following MeOH inhalation at 10, 45, 200, 900, and 900-FD ppm, respectively. The blood concentration of [14C]MeOH-derived formate from all exposures was 10 to 1000 times lower than the endogenous blood formate concentration (0.1 to 0.2 mM) reported for monkeys. These results suggest that low-level exposure to MeOH would not result in elevated blood formate concentrations in humans under short-term exposure conditions.

Administration, Inhalation↗

Age-related changes in benzene disposition in male C57BL/6N mice described by a physiologically based pharmacokinetic model.

A physiologically based pharmacokinetic (PBPK) model was developed to describe the disposition of benzene in 3- and 18-month C57BL/6N mice and to examine the relevant physiologic and/or biochemical parameters governing previously observed age-related changes in the disposition of benzene. The model developed was based on that of Medinsky et al. (Toxicol. Appl. Pharmacol. 99 (1989) 193-206), with the inclusion of an additional rate constant for urinary elimination of benzene metabolites. Experimentally determined tissue partition coefficients for benzene in 3- and 18-month mice, as well as actual body weights and fat compartment volumes, were included as part of the model. Model simulations were conducted for oral exposure of 3-month mice to 10 and 200 mg benzene/kg and for oral exposure of 18-month mice to 10 and 150 mg benzene/kg. Total amount of benzene metabolized, as well as metabolism of benzene to specific metabolites and their elimination, was simulated. Modeling results for total amount of benzene metabolites eliminated in urine over a 24-h period at 10 mg/kg showed that a greater total amount of benzene metabolites would be excreted by 18-month versus 3-month old mice. At saturating doses of 150 and 200 mg/kg, total amount of benzene metabolites excreted 24 h post-dose was predicted to be equivalent in 18-month mice and 3-month old mice, but the rate of elimination over time was shown to be decreased in 18-month vs. 3-month mice. Decreased urinary elimination of total benzene metabolites was simulated by a smaller renal elimination rate constant in 18-month vs. 3-month mice, which is consistent with decreased renal blood flow noted in aging rodents. These model predictions were consistent with observed in vitro and in vivo experimental data. Model simulations for production of specific metabolites from benzene and elimination in urine agreed well with experimental data in showing no significant age-related changes in formation of benzene metabolites, with the exception of hydroquinone conjugates. Model simulations and experimental data showed decreased total urinary elimination of hydroquinone conjugates in 18-month vs. 3-month mice. The change in hydroquinone conjugate elimination with age was simulated in modeling experiments as an age-related increase in Km for production of hydroquinone conjugates from benzene. The results of this study indicate that age-related changes in physiology are primarily responsible for altered disposition of benzene in aged mice and suggest that concentrations for toxicity of benzene and/or metabolites may differ in target tissues of aged mice.

Adipose Tissue↗

In vivo metabolism of butadiene by mice and rats: a comparison of physiological model predictions and experimental data.

1,3-Butadiene (BD), a rodent carcinogen, is metabolized to mutagenic and potentially DNA-reactive epoxides, including butadiene monoepoxide (BMO) and butadiene diepoxide. A physiological model containing five tissue groups (liver, lung, fat, slowly perfused tissues and rapidly perfused tissues) and blood was developed to describe uptake and metabolism of inhaled BD and BMO. Maximal rates for hepatic and pulmonary metabolism of BD and hepatic metabolism of BMO incorporated into the model were extrapolated from in vitro data (Csanády et al., Carcinogenesis, 13, 1143-1153, 1992). Apparent enzyme affinities used in the model were identified to the values measured in vitro. Model stimulations for BD and BMO uptake were compared to results from experiments in which groups of male Sprague-Dawley rats and B6C3F1 mice were exposed to initial concentrations of 50-5000 p.p.m. BD in closed chamber experiments and published data on BMO uptake by rats and mice. Metabolic rate constants extrapolated from in vitro data stimulated both BMO and BD uptake from closed chambers. The Vmax for hepatic metabolism of BD extrapolated from in vitro studies was 62 mumol/kg/h for rats and 340 mumol/kg/h for mice, while the Vmax for pulmonary metabolism of BD was 1.0 and 22 for rats and mice, respectively. These results demonstrate the usefulness of data derived in vitro for predicting in vivo behavior. Model simulations were also conducted in which only hepatic metabolism of BD was incorporated. These simulations underestimated BD uptake for mice, but not rats. Inclusion of in vitro-derived rates of pulmonary metabolism of BD into the model improved the fit to the data for mice. Since mice, but not rats, develop lung tumors after exposure to BD, these results point to the need for further characterize the metabolic capacity and target cells in the lung for BD and its metabolites. Once characterized, these models can be extended to predict in vivo behavior of BD in humans.

Animals↗

Benzene metabolism by human liver microsomes in relation to cytochrome P450 2E1 activity.

Low levels of benzene from sources including cigarette smoke and automobile emissions are ubiquitous in the environment. Since the toxicity of benzene probably results from oxidative metabolites, an understanding of the profile of biotransformation of low levels of benzene is critical in making a valid risk assessment. To that end, we have investigated metabolism of a low concentration of [14C]benzene (3.4 microM) by microsomes from human, mouse and rat liver. The extent of phase I benzene metabolism by microsomal preparations from 10 human liver samples and single microsomal preparations from both mice and rats was then related to measured activities of cytochrome P450 (CYP) 2E1. Measured CYP 2E1 activities, as determined by hydroxylation of p-nitrophenol, varied 13-fold (0.253-3.266 nmol/min/mg) for human samples. The fraction of benzene metabolized in 16 min ranged from 10% to 59%. Also at 16 min, significant amounts of oxidative metabolites were formed. Phenol was the main metabolite formed by all but two human microsomal preparations. In those samples, both of which had high CYP 2E1 activity, hydroquinone was the major metabolite formed. Both hydroquinone and catechol formation showed a direct correlation with CYP 2E1 activity over the range of activities present. A simulation model was developed based on a mechanism of competitive inhibition between benzene and its oxidized metabolites, and was fit to time-course data for three human liver preparations. Model calculations for initial rates of benzene metabolism ranging from 0.344 to 4.442 nmol/mg/min are directly proportional to measured CYP 2E1 activities. The model predicted the dependence of benzene metabolism on the measured CYP 2E1 activity in human liver samples, as well as in mouse and rat liver samples. These results suggest that differences in measured hepatic CYP 2E1 activity may be a major factor contributing to both interindividual and interspecies variations in hepatic metabolism of benzene. Validation of this system in vivo should lead to more accurate assessment of the risk of benzene's toxicity following low-level exposure.

Adolescent↗

Critical issues in benzene toxicity and metabolism: the effect of interactions with other organic chemicals on risk assessment.

Benzene, an important industrial solvent, is also present in unleaded gasoline and cigarette smoke. The hematotoxic effects of benzene are well documented and include aplastic anemia and pancytopenia. Some individuals exposed repeatedly to cytotoxic concentrations of benzene develop acute myeloblastic anemia. It has been hypothesized that metabolism of benzene is required for its toxicity, although administration of no single benzene metabolite duplicates the toxicity of benzene. Several investigators have demonstrated that a combination of metabolites (hydroquinone and phenol, for example) is necessary to duplicate the hematotoxic effect of benzene. Enzymes implicated in the metabolic activation of benzene and its metabolites include the cytochrome P450 monooxygenases and myeloperoxidase. Since benzene and its hydroxylated metabolites (phenol, hydroquinone, and catechol) are substrates for the same cytochrome P450 enzymes, competitive interactions among the metabolites are possible. In vivo data on metabolite formation by mice exposed to various benzene concentrations are consistent with competitive inhibition of phenol oxidation by benzene. Other organic molecules that are substrates for cytochrome P450 can inhibit the metabolism of benzene. For example, toluene has been shown to inhibit the oxidation of benzene in a noncompetitive manner. Enzyme inducers, such as ethanol, can alter the target tissue dosimetry of benzene metabolites by inducing enzymes responsible for oxidation reactions involved in benzene metabolism. The dosimetry of benzene and its metabolites in the target tissue, bone marrow, depends on the balance of activation processes, such as enzymatic oxidation, and deactivation processes, like conjugation and excretion.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

1,3-Butadiene: linking metabolism, dosimetry, and mutation induction.

There is increasing concern for the potential adverse health effects of human exposures to chemical mixtures. To better understand the complex interactions of chemicals within a mixture, it is essential to develop a research strategy which provides the basis for extrapolating data from single chemicals to their behavior within the chemical mixture. 1,3-Butadiene (BD) represents an interesting case study in which new data are emerging that are critical for understanding interspecies differences in carcinogenic/genotoxic response to BD. Knowledge regarding mechanisms of BD-induced carcinogenicity provides the basis for assessing the potential effects of mixtures containing BD. BD is a multisite carcinogen in B6C3F1 mice and Sprague-Dawley rats. Mice exhibit high sensitivity relative to the rat to BD-induced tumorigenesis. Since it is likely that BD requires metabolic activation to mutagenic reactive epoxides that ultimately play a role in carcinogenicity of the chemical, a quantitative understanding of the balance of activation and inactivation is essential for improving our understanding and assessment of human risk following exposure to BD and chemical mixtures containing BD. Transgenic mice exposed to 625 ppm BD for 6 hr/day for 5 days exhibited significant mutagenicity in the lung, a target organ for the carcinogenic effect of BD in mice. In vitro studies designed to assess interspecies differences in the activation of BD and inactivation of BD epoxides reveal that significant differences exist among mice, rats, and humans. In general, the overall activation/detoxication ratio for BD metabolism was approximately 10-fold higher in mice compared to rats or humans.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

Physiologically based modeling of 2-butoxyethanol disposition in rats following different routes of exposure.

2-Butoxyethanol (BE) is widely used as a solvent in coatings and other consumer products and has shown hematotoxicity in laboratory animals. To provide a physiological basis for extrapolating toxicokinetic data observed in rats to humans, a blood flow rate-limited, physiologically based pharmacokinetic model was developed to describe the distribution and metabolism of BE in rats following drinking water, dermal, and inhalation exposures. The major urinary metabolite, butoxyacetic acid, represented 45 to 60% of the absorbed dose in all three routes of exposure. Other identified urinary metabolites in our studies included ethylene glycol and BE-glucuronide. A model formulation of the possible metabolic pathways based on the experimental data was proposed. The amounts of individual urinary metabolites were used to develop the model. Metabolic constants were estimated by fitting the data within the constraints of in vitro measurements. The model explained the change of profiles of urinary metabolites in different exposure routes by taking into account the differences in absorption rate and by incorporating a minor pathway for metabolism by skin. Sensitivity analysis showed that metabolic constants and blood flow rate to liver had a relatively larger influence on the production of urinary metabolites than the organ volume or the partition coefficient for BE.

Administration, Cutaneous↗

Advances in biologically based models for respiratory tract uptake of inhaled volatiles.

Physiologically based pharmacokinetic models for volatile organic chemicals typically describe the respiratory tract as a single compartment in which chemicals in the alveolar air space and the arterial blood are in instantaneous equilibrium. These models also assume that the distribution of chemical in the air-stream is uniform throughout the respiratory tract and that uptake is significant only in the alveolar region. A functional role for the upper respiratory tract in the uptake of volatile chemicals has been largely ignored. While these models have worked well for chemicals with low aqueous solubility in biological fluids, systemic uptake of highly soluble volatiles is overestimated. Thus, there is a significant effort to describe the critical determinants for uptake of soluble chemicals and to formulate models with more biologically relevant descriptions of respiratory tract structure and function. Investigators have addressed this problem from several viewpoints. Airflow patterns in the respiratory tract, regional metabolism, diffusion-dependent uptake, and the cyclic nature of respiration are now being incorporated into current models. Use of dosimetric models that incorporate relevant biology for inhaled chemicals will ultimately result in more meaningful human risk assessments.

Administration, Inhalation↗