Hazards identified and the need for health risk assessment in the South African mining industry.

Although mining plays a prominent role in the economy of South Africa, it is associated with many chemical hazards. Exposure to dust from mining can lead to many pathological effects depending on mineralogical composition, size, shape and levels and duration of exposure. Mining and processing of minerals also result in occupational exposure to toxic substances such as platinum, chromium, vanadium, manganese, mercury, cyanide and diesel particulate. South Africa has set occupational exposure limits (OELs) for some hazards, but mine workers are still at a risk. Since the hazard posed by a mineral depends on its physiochemical properties, it is recommended that South Africa should not simply adopt OELs from other countries but rather set her own standards based on local toxicity studies. The limits should take into account the issue of mixtures to which workers could be exposed as well as the health status of the workers. The mining industry is also a source of contamination of the environment, due inter alia to the large areas of tailings dams and dumps left behind. Therefore, there is need to develop guidelines for safe land-uses of contaminated lands after mine closure.

Organophosphate pesticide metabolite levels in pre-school children in an agricultural community: within- and between-child variability in a longitudinal study.

This study characterized the within- and between-child variability in dimethylthiophosphate (DMTP) levels in the urine of 44 children living in an agricultural community in central Washington State in December 1997 and 1999. The goal of this analysis was to investigate these variability components during periods when organophosphate pesticides were and were not actively applied to orchards in that community. Each child provided between 10 and 26 biweekly urine samples over a 21-month period, and these samples were analyzed for six dialkylphosphate (DAP) metabolites common to organophosphate pesticides, including DMTP. Previous analysis of this dataset found that DAP concentrations were elevated during months when organophosphate pesticides were applied to orchards in this region. The current analysis demonstrates that the within-child component of day-to-day variability was much greater than the between-child component of variability by a factor of 3-7 across the DAP metabolites that were analyzed. Therefore, organophosphate pesticide exposure appeared to vary more than 3 times from day-to-day than from child-to-child. This finding has important implications for epidemiologic and exposure pathways research, since accounting for within-child variability may increase the power of a study and allow for the detection of differences that would not otherwise be possible without an analysis that separates out the within-child variability.

A systems-based computational model for dose-response comparisons of two mode of action hypotheses for ethanol-induced neurodevelopmental toxicity.

Investigations into the potential mechanisms for ethanol-induced developmental toxicity have been ongoing for over 30 years since Fetal Alcohol Syndrome (FAS) was first described. Neurodevelopmental endpoints are particularly sensitive to in utero exposure to alcohol as suggested by the more prevalent alcohol-related neurodevelopmental disorder (ARND). The inhibition of proliferation during neurogenesis and the induction of apoptosis during the period of synaptogenesis have been identified as potentially important mechanisms for ARND. However, it is unclear how these two mechanisms quantitatively relate to the dose and timing of exposure. We have extended our model of neocortical neurogenesis to evaluate apoptosis during synaptogenesis. This model construct allows quantitative evaluation of the relative impacts on neuronal proliferation versus apoptosis during neocortical development. Ethanol-induced lengthening of the cell cycle of neural progenitor cells during rat neocortical neurogenesis (G13-G19) is used to compute the number of neurons lost after exposure during neurogenesis. Ethanol-induced dose-dependent increases in cell death rates are applied to our apoptosis model during rat synaptogenesis (P0-P14), when programmed cell death plays a major role in shaping the future neocortex. At a human blood ethanol concentration that occurs after 3-5 drinks ( approximately 150 mg/dl), our model predicts a 20-30% neuronal deficit due to inhibition of proliferation during neurogenesis, while a similar exposure during synaptogenesis suggests a 7-9% neuronal loss through induction of cell death. Experimental in vitro and in vivo dose-response research and stereological research on long-term neuronal loss after developmental exposure to ethanol is compared to our model predictions. Our computational model allows for quantitative, systems-level comparisons of mechanistic hypotheses for perturbations during specific neurodevelopmental periods.

Consideration of cultural and lifestyle factors in defining susceptible populations for environmental disease.

To define mechanisms of susceptibility for populations affected by environmental exposures, both exposure and toxicity assessments must be considered. This review examines cultural and lifestyle factors that help define potentially susceptible populations in two groups, Asian and Pacific Islanders (API) and members of Tribal Nations in the Pacific Northwest region of the US and Western Canada. These groups, which may consume 10 times more fish and seafood than average US consumers, have special dietary practices that can lead to significant exposures to persistent pollutants and biotoxins found in fish and shellfish. The mechanism of toxicity of these contaminants is also important. Using the example of dioxin-like polychlorinated biphenyls (PCBs), different risk assessment approaches are presented and the analytical sensitivity needed to assess risk for different consumption groups is evaluated quantitatively. Our studies have also shown that regulatory agencies evaluation of fish consumption for average US populations do not always adequately consider unique consumption and cooking practices of these groups. Partnering with communities is important for appropriate exposure and risk assessments. This also empowers proactive action by communities to evaluate the risks and many benefits of fish and shellfish consumption and develop risk management strategies tailored for their communities.

Comparative risk and policy analysis in environmental health.

There is increasing interest in the integration of quantitative risk analysis with benefit-cost and cost-effectiveness methods to evaluate environmental health policy making and perform comparative analyses. However, the combined use of these methods has revealed deficiencies in the available methods, and the lack of useful analytical frameworks currently constrains the utility of comparative risk and policy analyses. A principal issue in integrating risk and economic analysis is the lack of common performance metrics, particularly when conducting comparative analyses of regulations with disparate health endpoints (e.g., cancer and noncancer effects or risk-benefit analysis) and quantitative estimation of cumulative risk, whether from exposure to single agents with multiple health impacts or from exposure to mixtures. We propose a general quantitative framework and examine assumptions required for performing analyses of health risks and policies. We review existing and proposed risk and health-impact metrics for evaluating policies designed to protect public health from environmental exposures, and identify their strengths and weaknesses with respect to their use in a general comparative risk and policy analysis framework. Case studies are presented to demonstrate applications of this framework with risk-benefit and air pollution risk analyses. Through this analysis, we hope to generate discussions regarding the data requirements, analytical approaches, and assumptions required for general models to be used in comparative risk and policy analysis.

Effect of methylmercury on midbrain cell proliferation during organogenesis: potential cross-species differences and implications for risk assessment.

5'-bromodeoxyuridine (BrdU) labeling was employed to explore the effects of methylmercury (MeHg) on cell cycle kinetics in the developing rat midbrain during gestational days (GDs) 11 to 14. Contrary to what has been previously reported in mice, no effects of MeHg on cell cycle kinetics were observed up to embryonic brain concentrations of 3-4 microg/g. The absence of an effect was confirmed using stereology and counts of midbrain cell number. Treatment with colchicine, the positive control, resulted in significant effects on cell cycle kinetics in the developing rat midbrain. The parallelogram method, borrowed from genetic toxicology, was subsequently used to place the data obtained in the present study in the context of previously collected in vitroand in vivo data on MeHg developmental neurotoxicity. This required developing a common dose metric (microg Hg/g cellular material) to allow in vitro and in vivo study comparisons. Evaluation suggested that MeHg's effects on neuronal cell proliferation show a reasonable degree of concordance across mice, rats, and humans, spanning approximately an order of magnitude. Comparisons among the in vivo data suggest that humans are at least or more sensitive than the rodent and that mice may be a slightly better model for MeHg human developmental neurotoxicity than the rat. Such comparisons can provide both a quantitative and a qualitative framework for utilizing both in vivo and in vitro data in human health risk assessment.

Assessment of PCB congener analytical methods: do they meet risk assessment needs?

Congener-specific PCB analysis allows use of toxic equivalency (TEQ) TCDD-based risk assessment approaches when analytical methods are sufficiently sensitive. Many efforts to analyze fish samples for PCB congeners report the majority of samples as non-detects; these data are of little use for human health risk assessment if the limits of analytical detection exceed levels of potential health concern. However, increasing analytical sensitivity is costly and technically difficult. An approach to assess analytical sensitivity needs for risk assessment by defining toxicological endpoints of concern and acceptable risk levels is presented. This framework was applied to assessment of potential PCB TEQ cancer risks to the general United States population and tribal consumers of Columbia River fish, but may be easily adjusted for other situations. A probabilistic model was used to calculate the necessary analytical sensitivity for PCB TEQ cancer risk assessment using the Environmental Protection Agency's new draft cancer risk slope factor for TCDD and fish consumption data. Desired levels of analytical sensitivity were estimated for the congener expected to contribute the most to PCB TEQ, PCB 126, and compared to limits of detection for various analytical methods. The financial and health value of methods with different levels of analytical sensitivity were compared using a value of information approach, which includes analytical cost and cost of potential health outcomes, and a proposed risk assessment utility approach which considers the relative health protectiveness of analytical options non-monetarily. Sensitivity analyses indicate that average consumption rate, cancer risk slope factor choice, and knowledge of existing PCB contamination are important considerations for planning PCB congener analysis.

Methylmercury distribution in the pregnant rat and embryo during early midbrain organogenesis.

BACKGROUND: The period of neurogenesis represents a window of susceptibility for in utero methylmercury (MeHg) exposure. This study examined the toxicokinetics of potentially neurotoxic doses of MeHg during neurogenesis in the developing rat to provide additional information in the areas of mercury speciation and inter-study variability. METHODS: Pregnant Sprague-Dawley rats were dosed s.c. with 5-22 mg/kg MeHg on Day 11 of gestation to target rapidly dividing cells of the developing midbrain. Maternal liver, kidney, skin, blood, placenta, and the embryonic body and brain were evaluated for total and inorganic mercury content at 24, 48, and 72 hr after dosing. Tissue Hg partitioning ratios derived from our data were then compared to those derived from previous studies. RESULTS: Mercury was present in all tissues examined by 24 hr after dosing, and levels remained relatively stable over the subsequent 2 days in most tissues. The exceptions were the maternal blood and kidney, in which total mercury decreased significantly over the three days after dosing. Inorganic mercury concentrations were similarly stable over time. At maternal MeHg doses above 12 mg/kg, non-linearities were observed in mercury accumulation in the embryo, placenta and maternal liver. The mercury tissue partitioning coefficients ranged from 0.09 for maternal blood:embryo to 1.97 for maternal blood:kidney. CONCLUSIONS: Our observations at the 5 mg/kg dose were consistent with those of previous studies that involved evaluations at slightly later gestational times. The estimates of tissue partitioning coefficients we derived using multiple studies provide valuable insight into the effects of inter-study variability.

A computational model for neocortical neuronogenesis predicts ethanol-induced neocortical neuron number deficits.

We have developed a computational model that allows for the evaluation of normal and perturbed neurodevelopmental processes. This mathematical construct is used to test the hypothesis that reduced neuronal production is the critical mechanism behind fetal alcohol syndrome. Model predictions of normal neurodevelopment match independent stereological measures but challenge estimates generated using a previously published model of normal neocortical neuronogenesis. Evaluation of data showing an increased cell cycle length after prenatal exposure to ethanol during neocortical neuronogenesis yields predictions of cellular deficits that can account for the permanent neocortical neuronal loss seen in rodents exposed to ethanol concentrations of public health relevance.

Simultaneous analysis of surface marker expression and cell cycle progression in human peripheral blood mononuclear cells.

One method for examining cell cycle kinetics by flow cytometry uses continuous DNA labeling with bromodeoxyuridine (BrdU), a thymidine analogue. Upon incorporation into DNA, BrdU causes stoichiometric quenching of the DNA fluorochrome Hoechst 33258. After counterstaining with a secondary DNA fluorochrome (e.g., ethidium bromide), the analyst can distinguish cells in different phases of the cell cycle over a number of mitotic cycles with flow cytometry. In this report, we describe a modification of the flow cytometric BrdU-Hoechst assay that allows combined analysis of cell proliferation and immunophenotyping at the single cell level. To demonstrate an application of this method, human peripheral blood mononuclear cells were stimulated with tetanus toxoid or interleukin-2 for up to 6 days in the presence of BrdU, harvested, and immunostained for the cell surface markers CD3, CD4, CD8, CD14, CD19, and the cytokine receptor, CCR5. We used four-color flow cytometry analyses to simultaneously measure cell proliferation and surface marker expression, for the purpose of immunophenotyping and identifying specific cell subsets responding to antigen stimulation. Our successful application of this method suggests that it may be used to study immune responses at the molecular and cellular level and to identify mechanisms of immune system modulation.

Quality adjusted life years (QALYs) and dose-response models in environmental health policy analysis -- methodological considerations.

Analyses of competing risks are currently limited by the lack of empirically well-founded and generalizable quantitative methods. Specifically, quantitative methods for comparative risk analysis require the consideration of the population impacted, the duration of impact, the health endpoints at risk, and the impact on individual quality of life. Whereas risk analysis can be used to provide quantitative estimates of disease incidence, environmental health policy analyses do not often account for differences in health impact from alternative disease states. We discuss the methodological issues related to the use of quality adjusted life years (QALY) as a metric for normalizing expected disease incidence to account for health impact. Through a case study of the risks and benefits of fish consumption, we demonstrate the use of QALY weights with dose-response models for environmental health policy decision making. We suggest that, although this approach can be generalized for use in comparative risk and health policy analysis, it is informationally intensive and requires additional assumptions to those used in traditional safety/risk assessment.

Harmonization of cancer and noncancer risk assessment: proceedings of a consensus-building workshop.

Significant advancements have been made toward the use of all relevant scientific information in health risk assessments. This principle has been set forth in risk-assessment guidance documents of international agencies including those of the World Health Organization's International Programme on Chemical Safety, the U.S. Environmental Protection Agency, and Health Canada. Improving the scientific basis of risk assessment is a leading strategic goal of the Society of Toxicology. In recent years, there has been a plethora of mechanistic research on modes of chemical toxicity that establishes mechanistic links between noncancer responses to toxic agents and subsequent overt manifestations of toxicity such as cancer. The research suggests that differences in approaches to assessing risk of cancer and noncancer toxicity need to be resolved and a common broad paradigm for dose-response assessments developed for all toxicity endpoints. In November 1999, a workshop entitled "Harmonization of Cancer and Noncancer Risk Assessment" was held to discuss the most critical issues involved in developing a more consistent and unified approach to risk assessment for all endpoints. Invited participants from government, industry, and academia discussed focus questions in the areas of mode of action as the basis for harmonization, common levels of adverse effect across toxicities for use in dose-response assessments, and scaling and uncertainty factors. This report summarizes the results of those discussions. There was broad agreement, albeit not unanimous, that current science supports the development of a harmonized set of principles that guide risk assessments for all toxic endpoints. There was an acceptance among the participants that understanding the mode of action of a chemical is ultimately critical for nondefault risk assessments, that common modes of action for different toxicities can be defined, and that our approach to assessing toxicity should be biologically consistent.

Effects of uncertainties on exposure estimates to methylmercury: a Monte Carlo analysis of exposure biomarkers versus dietary recall estimation.

This article presents a general model for estimating population heterogeneity and "lack of knowledge" uncertainty in methylmercury (MeHg) exposure assessments using two-dimensional Monte Carlo analysis. Using data from fish-consuming populations in Bangladesh, Brazil, Sweden, and the United Kingdom, predictive model estimates of dietary MeHg exposures were compared against those derived from biomarkers (i.e., [Hg]hair and [Hg]blood). By disaggregating parameter uncertainty into components (i.e., population heterogeneity, measurement error, recall error, and sampling error) estimates were obtained of the contribution of each component to the overall uncertainty. Steady-state diet:hair and diet:blood MeHg exposure ratios were estimated for each population and were used to develop distributions useful for conducting biomarker-based probabilistic assessments of MeHg exposure. The 5th and 95th percentile modeled MeHg exposure estimates around mean population exposure from each of the four study populations are presented to demonstrate lack of knowledge uncertainty about a best estimate for a true mean. Results from a U.K. study population showed that a predictive dietary model resulted in a 74% lower lack of knowledge uncertainty around a central mean estimate relative to a hair biomarker model, and also in a 31% lower lack of knowledge uncertainty around central mean estimate relative to a blood biomarker model. Similar results were obtained for the Brazil and Bangladesh populations. Such analyses, used here to evaluate alternative models of dietary MeHg exposure, can be used to refine exposure instruments, improve information used in site management and remediation decision making, and identify sources of uncertainty in risk estimates.

Gonadotropin regulation of glutathione synthesis in the rat ovary.

Glutathione (GSH), an antioxidant and conjugator of electrophilic toxicants, prevents toxicant-mediated destruction of ovarian follicles and oocytes. Ovarian GSH has previously been shown to change with estrous cycle stage in rats, suggesting that the gonadotropin hormones may regulate ovarian GSH synthesis. The present studies tested the hypotheses that [1] estrous cycle-related changes in ovarian GSH result from cyclic changes in protein and mRNA expression of the rate-limiting enzyme in GSH synthesis, glutamate cysteine ligase (GCL, also called gamma-glutamylcysteine synthetase), and [2] that these changes result from gonadotropin-mediated regulation of GCL subunit expression. In the first experiment, ovaries were harvested from cycling adult female rats on each stage of the estrous cycle. In the second experiment immature female rats were injected with pregnant mare's serum gonadotropin (PMSG) to stimulate follicular development or with vehicle and killed 8, 24, or 48 h later. In both experiments the ovaries were harvested for [1] total GSH assay, [2] Western analysis for GCL catalytic (GCLc) and regulatory (GCLm) subunit protein levels, or [3] Northern analysis for Gclc and Gclm mRNA levels. Ovarian GSH concentrations and Gclc and Gclm mRNA levels, but not GCL subunit protein levels, varied significantly with estrous cycle stage. PMSG administration significantly increased ovarian GSH concentrations 24 and 48 h later. GCLm protein levels increased significantly at 24 h and 48 h following PMSG. GCLc protein levels did not increase significantly following PMSG. Gcl subunit mRNA levels were not significantly increased at any time point by the planned ANOVA; however, an increase in Gelc at 48 h was identified by t-testing. These results support the hypothesis that gonadotropins regulate ovarian GSH synthesis by modulating GCL subunit expression.

Human variability in mercury toxicokinetics and steady state biomarker ratios.

Regulatory guidelines regarding methylmercury exposure depend on dose-response models relating observed mercury concentrations in maternal blood, cord blood, and maternal hair to developmental neurobehavioral endpoints. Generalized estimates of the maternal blood-to-hair, blood-to-intake, or hair-to-intake ratios are necessary for linking exposure to biomarker-based dose-response models. Most assessments have used point estimates for these ratios; however, significant interindividual and interstudy variability has been reported. For example, a maternal ratio of 250 ppm in hair per mg/L in blood is commonly used in models, but a 1990 WHO review reports mean ratios ranging from 140 to 370 ppm per mg/L. To account for interindividual and interstudy variation in applying these ratios to risk and safety assessment, some researchers have proposed representing the ratios with probability distributions and conducting probabilistic assessments. Such assessments would allow regulators to consider the range and like-lihood of mercury exposures in a population, rather than limiting the evaluation to an estimate of the average exposure or a single conservative exposure estimate. However, no consensus exists on the most appropriate distributions for representing these parameters. We discuss published reviews of blood-to-hair and blood-to-intake steady state ratios for mercury and suggest statistical approaches for combining existing datasets to form generalized probability distributions for mercury distribution ratios. Although generalized distributions may not be applicable to all populations, they allow a more informative assessment than point estimates where individual biokinetic information is unavailable. Whereas development and use of these distributions will improve existing exposure and risk models, additional efforts in data generation and model development are required.

Use of quality-adjusted life year weights with dose-response models for public health decisions: a case study of the risks and benefits of fish consumption.

Risks associated with toxicants in food are often controlled by exposure reduction. When exposure recommendations are developed for foods with both harmful and beneficial qualities, however, they must balance the associated risks and benefits to maximize public health. Although quantitative methods are commonly used to evaluate health risks, such methods have not been generally applied to evaluating the health benefits associated with environmental exposures. A quantitative method for risk-benefit analysis is presented that allows for consideration of diverse health endpoints that differ in their impact (i.e., duration and severity) using dose-response modeling weighted by quality-adjusted life years saved. To demonstrate the usefulness of this method, the risks and benefits of fish consumption are evaluated using a single health risk and health benefit endpoint. Benefits are defined as the decrease in myocardial infarction mortality resulting from fish consumption, and risks are defined as the increase in neurodevelopmental delay (i.e., talking) resulting from prenatal methylmercury exposure. Fish consumption rates are based on information from Washington State. Using the proposed framework, the net health impact of eating fish is estimated in either a whole population or a population consisting of women of childbearing age and their children. It is demonstrated that across a range of fish methylmercury concentrations (0-1 ppm) and intake levels (0-25 g/day), individuals would have to weight the neurodevelopmental effects 6 times more (in the whole population) or 250 times less (among women of child-bearing age and their children) than the myocardial infarction benefits in order to be ambivalent about whether or not to consume fish. These methods can be generalized to evaluate the merits of other public health and risk management programs that involve trade-offs between risks and benefits.

Risk estimation and value-of-information analysis for three proposed genetic screening programs for chronic beryllium disease prevention.

Genetic differences (polymorphisms) among members of a population are thought to influence susceptibility to various environmental exposures. In practice, however, this information is rarely incorporated into quantitative risk assessment and risk management. We describe an analytic framework for predicting the risk reduction and value-of-information (VOI) resulting from specific risk management applications of genetic biomarkers, and we apply the framework to the example of occupational chronic beryllium disease (CBD), an immune-mediated pulmonary granulomatous disease. One described Human Leukocyte Antigen gene variant, HLA-DP beta 1*0201, contains a substitution of glutamate for lysine at position 69 that appears to have high sensitivity (approximately 94%) but low specificity (approximately 70%) with respect to CBD among individuals occupationally exposed to respirable beryllium. The expected postintervention CBD prevalence rates for using the genetic variant (1) as a required job placement screen, (2) as a medical screen for semiannual in place of annual lymphocyte proliferation testing, or (3) as a voluntary job placement screen are 0.08%, 0.8%, and 0.6%, respectively, in a hypothetical cohort with 1% baseline CBD prevalence. VOI analysis is used to examine the reduction in total social cost, calculated as the net value of disease reduction and financial expenditures, expected for proposed CBD intervention programs based on the genetic susceptibility test. For the example cohort, the expected net VOI per beryllium worker for genetically based testing and intervention is $13,000, $1,800, and $5,100, respectively, based on a health valuation of $1.45 million per CBD case avoided. VOI results for alternative CBD evaluations are also presented. Despite large parameter uncertainty, probabilistic analysis predicts generally positive utility for each of the three evaluated programs when avoidance of a CBD case is valued at $1 million or higher. Although the utility of a proposed risk management program may be evaluated solely in terms of risk reduction and financial costs, decisions about genetic testing and program implementation must also consider serious social, legal, and ethical factors.

Mechanisms underlying Children's susceptibility to environmental toxicants.

An important public health challenge has been the need to protect children's health. To accomplish this goal, the scientific community needs scientifically based child-specific risk assessment methods. Critical to their development is the need to understand mechanisms underlying children's sensitivity to environmental toxicants. Risk is defined as the probability of adverse outcome and when applied to environmental risk assessment is usually defined as a function of both toxicity and exposure. To adequately evaluate the potential for enhanced health risks during development, both child-specific factors affecting toxicity and exposure need to be considered. In the first section of this article, example mechanisms of susceptibility relevant for toxicity assessment are identified and discussed. In the second section, examples of exposure factors that help define children's susceptibility are presented. Examples of pesticide research from the newly funded Child Health Center at the University of Washington will be given for illustration. The final section discusses the importance of putting these considerations of children's susceptibility into an overall framework for ascertaining relevancy for human risk assessment.

The role of intracellular glutathione in methylmercury-induced toxicity in embryonic neuronal cells.

Previous studies indicate that the ability of cells to up-regulate levels of intracellular glutathione (GSH) synthesis may determine their sensitivity to MeHg exposure. The purpose of the current study is two-fold. First, we determined whether the vulnerability of the developing central nervous system (CNS) to MeHg lies in its intracellular GSH content. The intracellular GSH content and the activity of gamma-glutamyl cysteine synthetase (GCS) were determined with and without MeHg exposure in primary cultures of rat embryonic CNS cells. In addition, the effect of GSH modulation on MeHg-induced cytotoxicity was determined. Second, we characterized the mechanism of GCS regulation, initially by studying the GCS heavy chain subunit (GCS-HC). Primary embryonic limb bud cells were used as a reference cell type for comparing the response of CNS cells. The results indicate that constitutive intracellular GSH content, GCS activity, and GCS-HC mRNA and protein levels of CNS cells were approximately ten-, two-, five-, and ten-fold higher, respectively, than those in limb bud cells. A dose-dependent increase in GSH levels and GCS activity was observed in CNS and limb bud cells following 1 and 2 microM MeHg exposure for 20 hr. Further characterization of GCS up-regulation in CNS cells showed that the increase in GCS activity following MeHg exposure, unlike limb bud cells, was not accompanied by an elevation of GCS-HC mRNA and protein levels. Pretreatment with N-acetylcysteine led to a significant increase in intracellular GSH, while L-buthionine-(S,R)-sulfoximine (BSO) resulted in decreased GSH levels, however neither pretreatment had a significant impact on MeHg-induced cytotoxicity in either cell type. Our results suggest that although oxidative stress may mediate aspects of MeHg toxicity, disruption of GSH homeostasis alone is not responsible for the sensitivity of embryonic CNS cells to MeHg.