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Biomedical subjects

William K Boyes

Publications and source records attributed to William K Boyes.

11 recordsLinked to original sources

Approaches to extrapolating animal toxicity data on organic solvents to public health.

Synthesizing information about the acute neurotoxicity of organic solvents into predictive relationships between exposure and effect in humans is difficult because (1) data are usually derived from experimental animals whose sensitivity to the chemical relative to humans is unknown; (2) the specific endpoints measured in laboratory animals seldom translate into effects of concern in humans; and (3) the mode of action of the chemical is rarely understood. We sought to develop approaches to estimate the hazard and cost of exposure to organic solvents, focusing on the acute behavioral effects of toluene in rats and humans. Available published data include studies of shock avoidance behavior in rats and choice reaction time in humans. A meta-analysis of these data suggested that a 10% change in rat avoidance behavior occurs at a blood concentration of toluene 25 times higher than the concentration at which a 10% change in human choice reaction time occurs. In contrast, our in vitro studies of nicotinic acetylcholine receptors indicated that human and rat receptors do not differ in sensitivity to toluene. Analysis of other dose-response relationships for visual and cognitive functions in rats suggests that the apparent difference between rats and humans may be driven by the specific endpoints measured in the two species rather than by inherent differences in sensitivity to toluene. We also explored the hypothesis that dose-equivalence relationships may be used to compare the societal costs of two chemicals. For example, ethanol-induced changes in choice reaction time, for which societal costs are estimatable, may be used as a benchmark effect for estimating the monetary benefits of controlling exposure to organic solvents. This dose-equivalence method is applicable for solvents because this set of data fulfills three important assumptions about equivalence relationships based on a single effect: (1) a common dose metric (concentration of the chemical in the brain); (2) a common effect to provide a linking variable (choice reaction time); and (3) a common mode of action (interference with neuronal ion channel function).

Animals↗

Role of NMDA, nicotinic, and GABA receptors in the steady-state visual-evoked potential in rats.

Agonists and antagonists at the NMDA, GABA, and nicotinic acetylcholine receptors were administered to adult male rats to evaluate the contribution of these pathways to the visual-evoked potential (VEP). Rats were presented with an onset/offset pattern at a temporal frequency (4.55 Hz) resulting in a steady-state VEP. Averaged VEPs were Fourier transformed and VEP amplitudes were calculated at 1x stimulus frequency (F1) and 2x stimulus frequency (F2). About 30 min after administration, NMDA (10 mg/kg, i.p.; n = 9) increased F1 amplitude by 350% and decreased F2 amplitude by 48%. Memantine (4.5 mg/kg, i.p.; n = 10) increased F1 amplitude by 50%, 10 min post-injection. Similarly, nicotine (0.1 mg/kg, s.c.; n = 9) increased F1 amplitude by 55%, 20 min after drug administration. Muscimol (1 mg/kg, i.p.; n = 10) increased F1 amplitude significantly from 20 to 45 min post-injection. Mecamylamine (6 mg/kg, i.p.; n = 10) decreased F2 amplitude by 70% during the 60-min testing session. Bicuculline (0-0.5 mg/kg, i.p.; n = 8-10 rats/dose) did not significantly alter either F1 or F2 amplitudes. Results indicate important roles for glutamate and nicotinic acetylcholine receptors in both F1 and F2, while GABA receptors contribute to F1.

Animals↗

Momentary brain concentration of trichloroethylene predicts the effects on rat visual function.

The relationship between the concentration of trichloroethylene (TCE) in the brain and changes in brain function, indicated by the amplitude of steady-state pattern-elicited visual evoked potentials (VEP), was evaluated in Long-Evans rats. VEPs were recorded from visual cortex following stimulation of the eyes and, thus, reflect the function of the afferent visual pathway and, in broad terms, may be indicative of overall brain function. The concentration of TCE in the brain at the time of VEP testing (i.e., momentary brain concentration) was hypothesized to predict the amplitude of the VEP across a range of inhalation concentrations, both during and after exposure. Awake restrained rats were exposed to clean air or TCE in the following combinations of concentration and duration: 500 ppm (4 h), 1000 ppm (4 h), 2000 (2 h), 3000 ppm (1.3 h), 4000 ppm (1 h), and 5000 ppm (0.8 h). VEPs were recorded several times during the exposure session, and afterward for experimental sessions of less than 4 h total duration (i.e., concentrations from 2000 to 5000 ppm). The sample collection time for each VEP was about 1 min. Brain concentrations of TCE were predicted using a physiologically based pharmacokinetic (PBPK) model. VEP waveforms were submitted to spectral analysis, and the amplitude of the largest response component, occurring at twice the temporal stimulation rate (F2), was measured. Exposure to all air concentrations of TCE in the study reduced F2 amplitude. The reduction of F2 amplitude was proportional to momentary brain TCE concentration during and after exposure. A logistical function fit to the combined data from all exposure conditions described a statistically significant relationship with 95% confidence limits between brain TCE concentration and F2 amplitude. The results support the hypothesis that momentary brain concentration of TCE is an appropriate dose metric to describe the effects of acute TCE inhalation exposure on rat VEPs. The combination of the PBPK model predicting brain TCE concentration from the exposure conditions with the logistical function predicting F2 amplitude from the brain TCE concentration constitute a quantitative exposure-dose-response model describing an acute change in neurological function following exposure to an important hazardous air pollutant.

Animals↗

Retinal degeneration and other eye disorders in wives of farmer pesticide applicators enrolled in the agricultural health study.

Retinal degeneration is the leading cause of visual impairment in older adults. An association between retinal degeneration and fungicide use was observed previously among farmer pesticide applicators in the Agricultural Health Study, a large study of farm families from Iowa and North Carolina. The objective of this investigation was to determine whether wives of these farmer pesticide applicators were at increased risk of retinal degeneration. Self-reported cross-sectional data obtained via questionnaire between 1993 and 1997 from 31,173 wives were used. Associations of specific pesticides and groups of pesticides based on function (fungicides, herbicides, insecticides, and fumigants) or chemical structure (organophosphates, organochlorines, and carbamates) with eye disorders were evaluated using logistic and hierarchical logistic regression analyses. Self-reported retinal degeneration was associated with the wife's fungicide use (odds ratio = 1.9, 95% confidence interval: 1.2, 3.1) after adjustment for age and state of residence. Specific fungicides that appeared to drive this association were maneb or mancozeb and ziram. No associations between pesticide use and other eye disorders were found. Although these findings for retinal degeneration are based solely on self-reported disease, they are consistent with those reported for farmer pesticide applicators. These findings suggest that exposure to some fungicides and other pesticides may increase the risk of retinal degeneration and warrant further investigation.

Adult↗

Behavioral test methods workshop.

A one and a half day workshop on behavioral testing was conducted in order to discuss experimental procedures and practices that may help enhance the utility of behavioral data as a reliable index of neurotoxicity and in the safety evaluation of chemical substances. The workshop was open to participation by all sectors of the neuroscience community including academia, government, testing laboratories, and industry. The level of confidence with which changes in behavior can reliably signal adverse effects on the nervous system depends, in part, on the scientific quality of the data generated. With an emphasis on education and problem solving, the workshop focused on the practical aspects and scientific rationale underlying valid and high quality testing. In behavioral testing, there are numerous experimental factors that may impact on the quality of data. These include such elements as experimental design, selection of test methods, the care and precision in the conduct of behavioral testing, procedures to minimize bias and potential confounds, appropriateness of statistical analyses, and data interpretation. In plenary session investigators experienced in behavioral testing discussed the significance of these various experimental factors to data quality, outlined problematic issues, and presented a synopsis of approaches for addressing each of the factors as outlined in a draft of a primer developed by the Interagency Committee on Neurotoxicology (ICON). During the remainder of the workshop, open discussions in small breakout groups were used to address the problematic issues identified by the plenary speakers and explore alternative approaches for dealing with them. Finally, all workshop participants were reconvened in plenary session for summation of breakout group discussions and final recommendations. Information from the workshop was used to form the basis of this manuscript and will be used to help finalize a behavioral test methods primer being drafted by the ICON. The overall conclusions from the workshop were that consensus can be reached on the fundamentals of behavioral assessment, and that aspects of behavioral assessment including experimental design, test method selection, training, validation, control of confounds, data variability, data analysis, and data interpretation need to be carefully considered in the planning and conduct of behavioral safety assessments.

Animals↗

Epilepsy and medication effects on the pattern visual evoked potential.

Visual disruption in patients diagnosed with epilepsy may be attributable to either the disease itself or to the anti-epileptic drugs prescribed to control the seizures. Effects on visual function may be due to perturbations of the GABAergic neurotransmitter system, since deficits in GABAergic cortical interneurons have been hypothesized to underlie some forms of epilepsy, some anti-epileptic medications increase cortical GABA levels, and GABAergic neural circuitry plays an important role in mediating the responses of cells in the visual cortex and retina. This paper characterizes the effects of epilepsy and epilepsy medications on the visual evoked response to patterned stimuli. Steady-state visual evoked potentials (VEP) evoked by onset-offset modulation of high-contrast sine-wave stimuli were measured in 24 control and 54 epileptic patients. Comparisons of VEP spectral amplitude as a function of spatial frequency were made between controls, complex partial, and generalized epilepsy groups. The effects of the GABA-active medication valproate were compared to those of carbamezepine. The amplitude of the fundamental (F1) component of the VEP was found to be sensitive to epilepsy type. Test subjects with generalized epilepsy had F1 spatial frequency-amplitude functions with peaks shifted to lower spatial frequencies relative to controls and test subjects with complex partial epilepsy. This shift may be due to reduced intracortical inhibition in the subjects with generalized epilepsy. The second harmonic component (F2) response was sensitive to medication effects. Complex partial epilepsy patients on VPA therapies showed reduced F2 response amplitude across spatial frequencies, consistent with previous findings that showed the F2 response is sensitive to GABA-ergic effects on transient components of the VEP.

Adult↗

Toward cost-benefit analysis of acute behavioral effects of toluene in humans.

There is increasing interest in being able to express the consequences of exposure to potentially toxic compounds in monetary terms in order to evaluate potential cost-benefit relationships of controlling exposure. Behavioral effects of acute toluene exposure could be subjected to cost-benefit analysis if the effects of toluene were quantitatively compared to those of ethanol ingestion, which has been monetized for applied contexts. Behavioral effects of toluene and ethanol were quantified by meta-analysis of studies from the peer-reviewed literature describing their effects on choice reaction time (reaction time in a test requiring a subject to choose among two or more alternatives before responding). The internal doses of these compounds were estimated by a general physiological and toxicokinetic (GPAT) simulation from exposure parameters provided in the reports. The reported effects were converted to a common metric (proportion of baseline) and related to the estimated internal doses of toluene and ethanol, from which dose-effect equations were fitted. The estimated effect of toluene was compared to the estimated effect of ethanol on the same dependent variable by deriving a dose-equivalence equation (DEE) to express the dose of toluene as an equivalent dose of ethanol on the basis of equal effect magnitude. A nomogram was constructed by GPAT simulation to relate the environmental exposure concentration of toluene to the equivalent effect magnitude of a range of ethanol internal doses. Behavioral effects and their evaluation are determined by internal doses, which in turn are determined by a variety of variables. In addition to concentration and duration of exposure, which determine internal dose by pharmacokinetic processes, the activity level of exposed persons is a major factor. This analysis provides a continuous function of the consequences of toluene exposure expressed as ethanol-equivalent doses within confidence limits. The resulting function has the potential to estimate the monetary values of behavioral deficits caused by a range of exposures to toluene from existing monetized information on ethanol.

Administration, Inhalation↗

Duration adjustment of acute exposure guideline level values for trichloroethylene using a physiologically-based pharmacokinetic model.

Acute Exposure Guideline Level (AEGL) recommendations are developed for 10-minute, 30-minute, 1-hour, 4-hours, and 8-hours exposure durations and are designated for three levels of severity: AEGL-1 represents concentrations above which acute exposures may cause noticeable discomfort including irritation; AEGL-2 represents concentrations above which acute exposure may cause irreversible health effects or impaired ability to escape; and AEGL-3 represents concentrations above which exposure may cause life-threatening health effects or death. The default procedure for setting AEGL values across durations when applicable data are unavailable involves estimation based on Haber's rule, which has an underlying assumption that cumulative exposure is the determinant of toxicity. For acute exposure to trichloroethylene (TCE), however, experimental data indicate that momentary tissue concentration, and not the cumulative amount of exposure, is important. We employed an alternative approach to duration adjustments in which a physiologically-based pharmacokinetic (PBPK) model was used to predict the arterial blood concentrations [TCE(a)] associated with adverse outcomes appropriate for AEGL-1, -2, or -3-level effects. The PBPK model was then used to estimate the atmospheric concentration that produces equivalent [TCE(a)] at each of the AEGL-specific exposure durations. This approach yielded [TCE(a)] values of 4.89 mg/l for AEGL-1, 18.7 mg/l for AEGL-2, and 310 mg/l for AEGL-3. Duration adjustments based on equivalent target tissue doses should provide similar degrees of toxicity protection at different exposure durations.

Animals↗

Human neurobehavioral effects of long-term exposure to styrene: a meta-analysis.

Many reports in the literature suggest that long-term exposure to styrene may exert a variety of effects on the nervous system, including increased choice reaction time and decreased performance of color discrimination and color arrangement tasks. Sufficient information exists to perform a meta-analysis of these observations quantifying the relationships between exposure (estimated from biomarkers) and effects on two measures of central nervous system function: reaction time and color vision. To perform the meta-analysis, we pooled data into a single database for each end point. End-point data were transformed to a common metric of effect magnitude (percentage of baseline). We estimated styrene concentration from biomarkers of exposure and fitted linear least-squares equations to the pooled data to produce dose-effect relationships. Statistically significant relationships were demonstrated between cumulative styrene exposure and increased choice reaction time as well as increased color confusion index. Eight work-years of exposure to 20 ppm styrene was estimated to produce a 6.5% increase in choice reaction time, which has been shown to significantly increase the probability of automobile accidents. The same exposure history was predicted to increase the color confusion index as much as 1.7 additional years of age in men.

Accidents, Traffic↗

Dose-based duration adjustments for the effects of inhaled trichloroethylene on rat visual function.

Risk assessments often must consider exposures that vary over time or for which the exposure duration of concern differs from the available data, and a variety of extrapolation procedures have been devised accordingly. The present experiments explore the relationship(s) between exposure concentration (C) and time (t) to investigate procedures for assessing the risks of short-term solvent exposures. The first hypothesis tested was that the product of C x t would produce a constant health effect (Haber's rule). The second hypothesis tested was that exposure conditions produce effects in proportion to the tissue concentrations created. Awake, adult, male Long-Evans (LE) rats were exposed to trichloroethylene (TCE) vapor in a head-only exposure chamber while pattern onset/offset visual evoked potentials (VEPs) were recorded. Exposure conditions were designed to provide C x t products of 0 ppm/h (0 ppm for 4 h) or 4000 ppm/h created through four exposure scenarios: 1000 ppm for 4 h; 2000 ppm for 2 h; 3000 ppm for 1.3 h; or 4000 ppm for 1h (n = 9-10/concentration). The amplitude of the VEP frequency double component (F2) was decreased significantly by exposure; this decrease was related to C but not to t or to the C x t product, indicating that Haber's rule did not hold. The mean amplitude (+/- SEM in muV) of the F2 component in the control and treatment groups measured 4.4 +/- 0.5 (0 ppm/4 h), 3.1 +/- 0.5 (1000 ppm/4 h), 3.1 +/- 0.4 (2000 ppm/2 h), 2.3 +/- 0.3 (3000 ppm/1.3 h), and 1.9 +/- 0.4 (4000 ppm/1 h). A physiologically based pharmacokinetic (PBPK) model was used to estimate the concentrations of TCE in the brain achieved during each exposure condition. The F2 amplitude of the VEP decreased monotonically as a function of the estimated peak brain concentration but was not related to the area under the curve (AUC) of the brain TCE concentration. In comparison to estimates from the PBPK model, extrapolations based on Haber's rule yielded approximately a 6-fold error in estimated exposure duration when extrapolating across only a 4-fold change in exposure concentration. These results indicate that the use of a linear form of Haber's rule will not predict accurately the risks of acute exposure to TCE, nor will an estimate of AUC of brain TCE. However, an estimate of the brain TCE concentration at the time of VEP testing predicted the effects of TCE across exposure concentrations and durations.

Administration, Inhalation↗

Moving from external exposure concentration to internal dose: duration extrapolation based on physiologically based pharmacokinetic derived estimates of internal dose.

The potential human health risk(s) from chemical exposure must frequently be assessed under conditions for which adequate human or animal data are not available. The default method for exposure-duration adjustment, based on Haber's rule, C (external exposure concentration) or C(n) (the ten Berge modification) x t (exposure duration) = K (a constant toxic effect), has been criticized for prediction errors. A promising alternative approach to duration adjustment is based on equivalence of internal dose, that is, target-tissue dose levels, across different exposure durations. A proposed methodology for dose-duration adjustments for acute exposure guideline levels (AEGLs) based on physiologically based pharmacokinetic (PBPK) estimates of dose is illustrated with trichloroethylene (TCE). Steps in this methodology include: (1) selection and evaluation, or development and evaluation, of an appropriate PBPK model; (2) determination of an appropriate measure of internal dose; (3) estimation with the PBPK model of the tissue dose (the target tissue dose) resulting from the external exposure conditions (concentration, duration) of the critical effect; (4) estimation of the external exposure concentrations required to achieve tissue doses equivalent to the target tissue dose at exposure durations of interest; and (5) evaluation of sources of variability and uncertainty. For TCE, this PBPK modeling approach has allowed determination of dose metrics predictive of the acute neurotoxic effects of TCE and dose-duration adjustments based on estimates of internal dose.

Computer Simulation↗