Biomedical subjects

Michael L Gargas

Publications and source records attributed to Michael L Gargas.

6 recordsLinked to original sources

PubMed2006

Cancer risk assessment for 1,3-butadiene: dose-response modeling from an epidemiological perspective.

The dose-response assessment of the association between 1,3-butadiene (BD) and leukemia mortality among workers in the North American synthetic rubber industry is explored. Analyses are based on the most recent University of Alabama at Birmingham epidemiological study and exposure estimation. The U.S. EPA Science Advisory Board recommendations of using the most recent data and giving consideration to peak exposures to BD have been followed. If cumulative BD ppm-years is to be used as the predictor of the leukemia rate ratio, then the performance of that predictor is statistically significantly improved if the slope in the predictor is estimated with age and the cumulative number of BD peaks (where a BD peak is any exposure, regardless of duration, to a BD concentration above 100 ppm) added as categorical covariates. After age and the cumulative number of BD peaks are incorporated as categorical covariates in the Poisson regression model, the estimated concentration (EC(001)) corresponding to an excess risk of 0.001 as a result of continuous environmental exposure is 11.2 ppm; however, the estimated slope for BD cumulative ppm-years in the linear rate ratio for leukemia used to derive this EC(001) is not statistically significantly different from zero. Sensitivity analyses using alternative models indicate either essentially no risk or estimated EC(001) values of 9 and 77 ppm. Analyses suggesting the absence of a statistically significant low-dose risk versus cumulative BD ppm-years are presented. Sensitivity analyses of other malignant neoplasms of lymphatic and hematopoietic tissue (specifically, lymphoid and myeloid neoplasms) resulted in conclusions about the dose-response modeling methodology that were supportive of the methodology used for leukemia.

Aging↗

PubMed2004

Estimation of interindividual variation in oxidative metabolism of dichloromethane in human volunteers.

A modified version of the original physiologically based pharmacokinetic (PBPK) model by Andersen et al. (1987) has been developed and used in conjunction with previously published human kinetic data for dichloromethane (DCM) metabolism and to assess interindividual variability in the rate of oxidative metabolism. Time-course data for 13 volunteers (10 males, 3 females) exposed to one or more concentrations of DCM (50 ppm, 100 ppm, 150 ppm, or 200 ppm) for 7.5h were used to optimize the maximal rate of hepatic metabolism (V(maxC)) through the cytochrome P450 pathway for each individual. DCM breath and blood concentrations were used, along with carboxyhemoglobin concentrations in blood and carbon monoxide (CO) concentrations in exhaled breath, to estimate the model parameters. Significant improvements in model fit were achieved when extrahepatic oxidative metabolism of DCM was added to the model structure. The 13 individual V(maxC) values ranged from 7.1 to 23.6 mg/h/kg0.7 and appeared to be bimodally distributed. The distribution was not sex related and may be related to differential CYP2E1 induction. A comparison of the observed variation in V(maxC) values to other estimates of variability in the rate of oxidative metabolism and human CYP2E1 activity suggest a relatively narrow range in human hepatic activity toward DCM.

Adult↗

PubMed2004

Ethyl acrylate risk assessment with a hybrid computational fluid dynamics and physiologically based nasal dosimetry model.

Cytotoxicity in the nasal epithelium is frequently observed in rodents exposed to volatile organic acids and esters by inhalation. An interspecies, hybrid computational fluid dynamics and physiologically based pharmacokinetic (CFD-PBPK) dosimetry model for inhaled ethyl acrylate (EA) is available for estimating internal dose measures for EA, its metabolite acrylic acid (AA), and EA-mediated reductions in tissue glutathione (GSH). Nasal tissue concentrations of AA were previously used as the dose metric for a chronic Reference Concentration (RfC) calculation with this compound. However, EA was more toxic than expected, based on calculated tissue AA concentrations. Unlike AA, EA causes depletion of tissue GSH. We have developed an RfC for EA using tissue GSH depletion in the olfactory epithelium as the primary measure of nasal tissue dose. The hybrid CFD-PBPK model was refined to improve the accuracy of simulations for GSH in rat olfactory tissues. This refined model was used to determine the concentration for continuous human exposures to EA predicted to reduce nasal GSH levels to the same extent as seen in rats exposed to EA at the no-observed-effect level (NOEL). Importantly, AA concentrations in the human nasal olfactory epithelium at the proposed chronic RfC were predicted to be lower than the AA concentrations estimated in the rat at the NOEL. Thus, a chronic RfC based on maintaining GSH in the human nasal olfactory epithelium at levels equivalent to the rat NOEL would also provide an adequate margin of safety with respect to AA concentrations in nasal tissues.

Acrylates↗

PubMed2003

Biologically motivated computational modeling of chloroform cytolethality and regenerative cellular proliferation.

Chloroform is a nongenotoxic-cytotoxic carcinogen in rodents. As such, events related to cytotoxicity are the driving force for cancer induction. In this paper we extended an existing physiologically based pharmacokinetic (PBPK) model for chloroform to describe a plausible mechanism linking the hepatic metabolism of chloroform to hepatocellular killing and regenerative proliferation. The key aspects of this mechanism are (1) the production of damage at a rate proportional to the rate of metabolism predicted by the PBPK model, (2) the saturable repair of the damage, (3) the stimulation of the cell death rate by damage, and (4) the stimulation of the cell division rate as a function of the difference between the control and exposed numbers of cells. This extension allows the simulation of the labeling index and comparison with labeling index data. Data from a previously published chloroform-inhalation study with female B6C3F1 mice that determined cytolethality and regenerative cellular proliferation following exposures of varying concentrations and exposure durations were used for model calibration. Both threshold and low-dose linear linkages between chloroform-induced damage and cell death rate provided visually good fits to the labeling index data after formal optimization of the adjustable parameters, and there was no statistical difference between the fits of the two models to the data. Biologically motivated computational modeling of chloroform-induced cytolethality and regenerative proliferation is a necessary step in the quantitative evaluation of the hypothesis that chloroform-stimulated cell proliferation predicts the rodent tumor response.

Administration, Inhalation↗

PubMed2003

A physiologically based pharmacokinetic model for acrylamide and its metabolite, glycidamide, in the rat.

Acrylamide is a neurotoxicant and a multisite carcinogen in rats following chronic, high-dose exposures. In an effort to improve risk-based decisions for acrylamide (AMD) and its epoxide metabolite, glycidamide (GLY), a physiologically based pharmacokinetic (PBPK) model was developed for describing AMD and GLY kinetics in the rat. The PBPK model consists of components for both AMD and GLY. AMD is distributed within five compartments (arterial blood, venous blood, liver, lung, and all other tissues lumped together) and is linked to the GLY portion of the model via metabolism in the liver. GLY is distributed within the same five compartments. Dosing of AMD via the intravenous, intraperitoneal, or oral route of exposure is incorporated into the model structure. The model parameters include measured values for rat physiology (tissue volumes, blood flows), estimated tissue partition coefficients based on a published algorithm, and estimated values for metabolism and tissue binding based on fitting the model to tissue kinetic data from four studies. Despite gaps and limitations in the available database, a reliable description of the kinetics of AMD and GLY from existing studies was obtained using a single set of model parameters. The metabolism of AMD via cytochrome P-450 was best described using a Vmax of 1.6 mg/h/kg and a Km of 10 mg/L, while the metabolism of AMD via GST was described using a second-order rate constant of 0.55 L/h-mmol GSH. Similarly, the metabolism of GLY via epoxide hydrolase was best described using a Vmax of 1.9 mg/h/kg and a Km of 100 mg/L, while the metabolism of GLY via GST was described using a rate constant of 0.8 L/h-mmol GSH. These parameters were established based on the proportion of various metabolites found in urine. Future studies will need to focus on the collection of key data for refining model parameters for metabolism and tissue binding and for model validation, as well as for developing a similar model for humans. Completion of these additional studies will result in a validated rat and human PBPK model capable of predicting tissue doses linked to potential mechanisms of toxic effects for AMD and GLY and allow determination of scientifically defensible exposure limits that remain protective of human health.

Acrylamide↗

PubMed2003

Physiologically based pharmacokinetic model parameter estimation and sensitivity and variability analyses for acrylonitrile disposition in humans.

A physiologically based pharmacokinetic (PBPK) model of acrylonitrile (ACN) and cyanoethylene oxide (CEO) disposition in humans was developed and is based on human in vitro data and scaling from a rat model (G. L. Kedderis et al., 1996, TOXICOL: Appl. Pharmacol.140, 422-435) for application to risk assessment. All of the major biotransformation and reactivity pathways, including metabolism of ACN to glutathione conjugates and CEO, reaction rates of ACN and CEO with glutathione and tissues, and the metabolism of CEO by hydrolysis and glutathione conjugation, were described in the human PBPK model. Model simulations indicated that predicted blood and brain ACN and CEO concentrations were similar in rats and humans exposed to ACN by inhalation. In contrast, rats consuming ACN in drinking water had higher predicted blood concentrations of ACN than humans exposed to the same concentration in water. Sensitivity and variability analyses were conducted on the model. While many parameters contributed to the estimated variability of the model predictions, the reaction rate of CEO with glutathione, hydrolysis rate for CEO, and blood:brain partition coefficient of CEO were the parameters predicted to make the greatest contributions to variability of blood and brain CEO concentrations in humans. The main contributor to predicted variance in human blood ACN concentrations in people exposed through drinking water was the Vmax for conversion of ACN to CEO. In contrast, the main contributors for variance in people exposed by inhalation were expected to be the rate of blood flow to the liver and alveolar ventilation rate, with the brain:blood partition coefficient also contributing to variability in predicted concentrations of ACN in the brain. Expected variability in blood CEO concentrations (peak or average) in humans exposed by inhalation or drinking water was modest, with a 95th-percentile individual expected to have blood concentrations 1.8-times higher than an average individual.

Acrylonitrile↗