We also believe that these studies provide much better information when the amount of the chemical in the skin (absorption) is characterized in addition to the flux (penetration), because the amount in the skin may be subsequently absorbed. Once the exposure is over, if the skin is not occluded, the rate of evaporation (if there is one) and the rate of penetration from the skin depot will ultimately determine the amount absorbed. With volatile chemicals it is also very important to immediately flash-freeze the skin with liquid nitrogen before analyzing the amount of chemical in the skin to avoid loss due to volatilization. In vivo Methods:Studies of skin penetration in the whole animal have the potential to provide much better information because blood flow, metabolism as well as nervous and hormonal responses of the skin are intact! However, they are much more expensive and time consuming. In vivo studies require particularly careful control of the dose applied to the skin. The surface area exposed and the concentration (or mass) on the skin are the driving forces for penetration and unlike diffusion cell studies (where the area is carefully controlled and excess chemical is usually applied) these are harder to control in whole animal exposures. See Poet and McDougal (2002) for some details. One fascinating problem is how to expose just the skin of whole animals to chemical vapors. Because the respiratory tract is so efficient at absorbing vapors and the skin is not, any of the chemical vapor that can get to the lungs will overwhelm (and mask) chemical that might come through the skin. We developed and validated a dermal vapor exposure chamber to be able to determine permeability of the skin to organic chemical vapors. The concept was to provide a mask for the rat to breathe fresh air while the rest of the body was exposed to vapor in a chamber. We basically built a gas mask for a rat (thanks to the dental clinic and the custom mask shop on WPAFB). The rats were trained to wear the masks over a 3-day period and then we carefully clipped their fur, hooked them up in the chamber, provided them with positive pressure clean air to breathe and drew blood samples during the exposure (with an indwelling jugular cannula) to determine the amount of chemical absorbed. Using a PB-PK model validated for inhalation exposures, we could shut off the inhalation input and adjust the skin permeability (Kp) to match the blood concentrations (McDougal et al. 1985; McDougal et al. 1990). This system received a US patent (4,582,055) (McDougal et al. 1986a) and as far as we know, nobody has gone to the trouble to duplicate the system.
We used this chamber to measure the vapor permeability coefficient estimate the percent of vapor which might be taken up through the skin during a whole body exposure for eight volatile organic chemicals (McDougal et al. 1990). The permeability coefficients measured in our study were generally 2-4 times greater than the permeability coefficients we estimated from studies done by other authors, primarily in Europe.
These studies suggest (if we are comfortable extrapolating them to humans) that in most cases absorption of organic chemical vapors through the skin will not contribute significantly to the hazard unless the individual is wearing a respirator. When wearing a respirator, the dermal route may provide the largest route for absorption but still be insignificant, toxicologically. In our minds, at least, this put to rest a lot of concern about whether vapor penetration through the skin might be hazardous. Another major area of concern is how to do good experiments to skin penetration rates from liquid exposures to the skin, in vivo. A very common method of trying to quantify absorption through the skin is to apply chemical to the surface of the skin and determine the percentage of the dose absorbed based on what is left on the surface (easiest way) or analyzing the animal and its sources of loss, i.e. breath, urine & feces (much, much harder). Percentage absorbed is not an accurate means of predicting absorption. Briefly (and hopefully avoiding a tirade), the percentage of the dose applied to the skin that is absorbed is not constant for other applied doses or other exposure times. Here are two illustrations: 1) It is possible to apply more chemical to the skin surface than is available for absorption through the skin. If this is done experimentally, then the excess chemical is included in the dose and underestimates the dose that might be absorbed if there were not excess chemical. In an excess chemical situation, if you double the dose (with the same surface area) you will halve the percentage absorbed! 2) Percentage absorbed may depend on the time that you measure the amount absorbed, if you do not wait until absorption is complete. Consider a chemical placed on the skin that penetrates the skin at a specific rate. If there is no way to lose the chemical from the surface (no evaporation or other loss from the surface), the ultimate percentage absorbed will be 100%! You could experimentally get any percentage absorbed between zero and 100, depending on where you measured the amount absorbed. Percentage of chemical absorbed is only useful if you can mimic a known human exposure scenario, i.e. a specific dose, area and time, in the experiment. These percentage numbers do not extrapolate accurately to other exposure scenarios. There are ways to get in vivo skin penetration information that can be predictive and will extrapolate to other concentrations, areas and times. The approach we took was to control the surface area exposed and evaporation by supergluing a glass chamber to the back of a rat and inserting a jugular cannula to serially draw blood before, during and after the exposure. Blood concentrations can be related to total chemical absorbed using a PB-PK model (see Models below for more information).
Using this system, we studied the penetration of 14 volatile organic chemicals (1,2-dichloroethane, bromochloromethane, chloroform, benzene, tetrachloroethylene, dibromomethane, trichloroethylene, toluene, xylene, hexane, ethylbenzene, styrene, carbon tetrachloride and 1,2,2-trichloroethane) as 1/3, 2/3 and saturated aqueous solutions, as well as pure chemical (Morgan et al. 1991). Blood levels of 1,2-dichloroethane and benzene continued to increase during the 24-hr exposure to neat chemical, while blood levels of the other neat VOCs peaked within 4 hr and then either decreased or remained about the same for the duration of the exposure. Absorption of VOCs from one-third, two-thirds, or saturated aqueous solutions was rapid, and resulted in depletion of the chemical from the solution although only a small amount of water was absorbed. Blood levels of each VOC were directly related to the exposure concentrations. The rapid appearance of VOCs in the blood from aqueous solutions demonstrates that detectable amounts of VOCs were absorbed during exposure of only about 1% of the skin surface area of the rat. Unfortunately, we never used PB-PK models to estimate flux and permeability coefficients for these experiments. We did, however, completely analyze and model the non-steady state absorption of aqueous solutions of dibromomethane and bromochloromethane over 24 hours using our in vivo approach (Jepson and McDougal 1997). The blood concentrations peaked at about 1-2 hr and diminished to nearly nothing at 24 hr. Physiologically based models were used to estimate permeability coefficients for each of the exposures, although none of the exposures reached steady state due to the decreasing concentration of chemical on the surface of the skin, a constant permeability coefficient adequately described the blood concentrations during the prolonged exposure. This demonstrated the utility of PB-PK models for skin exposures where the concentration on the skin was not constant. Using the same methods, we investigated the effect of the vehicle containing the chemical on the rate of penetration through the skin (Jepson and McDougal 1999). We studied the penetration of dibromomethane and bromochloromethane, in vivo, with 12 combinations of these chemicals and corn oil, mineral oil and water for 24 hours. We looked at 25, 50 & 75% mixtures with these organic chemicals in the oils and 25, 50, 75 and 100% saturated in water. We used a PB-PK model to estimate permeability coefficients (cm/hr) based on the blood concentrations over the 24 hours. The permeability coefficients from the aqueous solutions were greater by a factor of 73 (dibromomethane) and 40 (bromochloromethane) even though the actual exposure concentrations in the water were more than 2 orders of magnitude less than the oils. This was a dramatic demonstration of the ability of a water vehicle to “push” and organic chemical into the skin! Because the partition coefficient between the chemical of interest and the vehicle determines the thermodynamics of the exposure, we showed that the specific chemical partition coefficient between the vehicle and the skin could be used to predict the permeability in other vehicles. We predicted the rate of penetration of dibromomethane and bromochloromethane from a different oil – peanut oil and then did the experiments and observed permeability coefficients in agreement with the predictions. Mechanisms:The
ability to extrapolate skin penetration depends on how well we can understand
the factors that affect the process of absorption into and penetration
through the skin. Chemical into and through the skin is a passive
process that is influenced by the characteristics of the skin and the
chemical (including any vehicle). We frequently treat the skin
as a simple membrane, but it contains many layers, about 30 cell types
and many appendages (hair follicles, sebaceous glands etc.). It
is the upper part of the epidermis, the stratum corneum, that provides
the barrier function of the skin. The stratum corneum is optimized
to prevent the absorption of water in wet environments and the loss of
water in dry environments. This is a good thing – otherwise
we would be big like a grape or small like a raisin depending on the environment
we were in! We showed using thermal gravimetric analysis that the
diffusivity of water through porcine stratum corneum was about 2 orders
of magnitude slower than diffusivity through the dermis (Liron et al. 1994).
Several groups have used the molecular weight (as a surrogate for size) and the octanol/water partition coefficient (as a surrogate for the vehicle/skin partition coefficient) to try to predict penetration of new chemicals from chemical data sets where these 3 parameters are available. Frequently referred to as the Potts-Guy equation, this correlation approach is used when there is no experimental information available with which to predict penetration, see Bunge and McDougal (1998) for details of various equations. These equations are not very accurate and can under or over predict penetration by an order of magnitude or more. Part of the problem is – the octanol/water partition coefficient is not completely representative of the partition coefficient between the skin and vehicle. The other part of the problem relates to assuming the skin is a homogeneous membrane, when it is actually a complicated multilayered structure. We should only use this correlation approach as a last resort and realize the limitations of the prediction. Many regulatory agencies and predictive models use a correlation approach to predict permeability without acknowledging the fact that the data sets that these correlations are based on are experiments where the chemicals were in an aqueous vehicle. These correlation approaches do not extrapolate to other vehicles! We have demonstrated that an organic chemical (dibromomethane) in aqueous solution (skin/vehicle partition coefficient in water is 8.3) can penetrate the skin much faster than from an oil solution (skin/vehicle partition coefficient in mineral oil is 0.24) even though dibromomethane was 100 times more concentrated in the oil solution (Jepson and McDougal 1999). We believe that a neat organic chemical (where it is essentially its own vehicle) will have a tendency to stay in itself much like it does in an oil vehicle. This phenomenon has applicability in mixtures, especially hydrocarbon mixtures, where all the other components of a mixture act as the “vehicle”. We measured the rate of penetration of thirteen individual JP-8components when JP-8 was applied to rat skin in static diffusion cells (McDougal et al. 2000; McDougal and Robinson 2002). The higher the octanol/water partition coefficient (prefers lipid-like octanol to water) the lower the rate of penetration (Kp – permeability coefficient) in a lipid-like vehicle (the rest of the hydrocarbons).
If we compare the correlation approach for penetration of chemicals from an aqueous solution to penetration of chemicals from a lipid-like solution (JP-8) we see that the slope is negative in fuel and positive in water. This difference in slope clearly illustrates that the predictive equations that have been developed for the correlation approach will not work when the vehicle is different from water.
Understanding the “first principle” mechanisms of skin penetration is necessary to accurately predict absorption and penetration of chemicals when they come into contact with the skin. A very useful approach that incorporates this understanding is biologically based models. Models:It is not always possible to duplicate expected human exposures in order to estimate penetration of chemicals through the skin. The amount of chemical that penetrates depends on surface area exposed and surface concentration (or mass/area). Fortunately, modification of Fick’s law gives us a reasonable means to try to extrapolate between differences in exposure parameters such as area and concentration:
In words: “the amount of chemical that penetrates the skin barrier is directly proportional to the exposure concentration, the surface area exposed, the permeability of the chemical and the exposure time”. Exposure concentration, area exposed and exposure time are parameters that can be carefully controlled in the laboratory, but are estimated or variable in human exposure scenarios. Permeability is estimated from experiments, but sometimes (as a last resort), is estimated from correlations between known permeabilities and molecular weights and octanol/water partition coefficients. Permeability is frequently expressed as distance/time, i.e. cm/hr and is often symbolized Kp. Permeability can be estimated from steady-state flux by dividing the flux by the exposure concentration (see Bunge and McDougal (1998) for lots more detail).
We have used these models several ways:
Although experimentally determining the parameters required for biologically-based models (partition coefficients, metabolic rates etc.) are relatively expensive the payoff frequently makes it worthwhile. Biologically-based mathematical modeling of mixtures and mixed exposures is an extremely important area that is being developed. Most toxicity studies are done with single chemicals even though there are almost no single chemical exposures in any workplace or home environment. Biologically-based models that are developed to describe metabolic, pharmacodynamic and toxicodynamic interactions will allow prediction of effects in realistic environments. Reference ListArfsten, D. P., Garrett, C. M., Jederberg, W. W., Wilfong, E. R., and McDougal, J. N. (2006). Characterization of the skin penetration of a hydrocarbon-based weapons maintenance oil. J. Occup. Environ. Hyg. 3(9), 457-464. PM:16801258 Bookout, R. L., Jr., McDaniel, C. R., Quinn, D. W., and McDougal, J. N. (1996). Multilayered dermal subcompartments for modeling chemical absorption. SAR QSAR. Environ. Res. 5(3), 133-150. PM:9114511 Bookout, R. L., Jr., Quinn, D. W., and McDougal, J. N. (1997). Parallel dermal subcompartments for modeling chemical absorption. SAR QSAR. Environ. Res. 7(1-4), 259-279. PM:9501509 Bunge, A. L., and McDougal, J. N. (1998). Dermal Uptake. In Exposure to Contaminants in Drinking Water (S.S.Olin, Ed.), pp. 137-181. ILSI Press, Washington DC. Grabau, J. H., Dong, L., Mattie, D. R., Jepson, G. W., and McDougal, J. N. Comparison of anatomical characteristics of the skin for several laboratory animals. AL/OE-TR-1995-0066, 1-27. 1995. Wright-Patterson AFB, OH, Air Force Research Laboratory. (link to Graubau tr 1995) Jepson, G. W., and McDougal, J. N. (1997). Physiologically based modeling of nonsteady state dermal absorption of halogenated methanes from an aqueous solution. Toxicol. Appl. Pharmacol. 144(2), 315-324. PM:9194415 Jepson, G. W., and McDougal, J. N. (1999). Predicting vehicle effects on the dermal absorption of halogenated methanes using physiologically based modeling. Toxicol. Sci. 48(2), 180-188. PM:10353309 Liron, Z., Wright, R. L., and McDougal, J. N. (1994). Water diffusivity in porcine stratum corneum measured by a thermal gravimetric analysis technique. J. Pharm. Sci. 83(4), 457-462. PM:8046596 Mattie, D. R., Grabau, J. H., and McDougal, J. N. (1994). Significance of the dermal route of exposure to risk assessment. Risk Anal. 14(3), 277-284. PM:8029499 McDougal, J. N. (1998). Prediction - Physiological models. In Dermal Absorpion and Toxicity Assessment (M.Roberts and K.Walters, Eds.), pp. 189-202. Marcel Dekker, Inc., New York. McDougal, J. N. (2004). Physiologically based pharmacokinetic modeling. In Dermatotoxicology (H.Zhai and H.Maibach, Eds.), Sixth ed., pp. 590-619. CRC Press, Boca Raton. McDougal, J. N., Gargas, M. L., Strohaver, R. A., Jepson, G. W., Thimling, K. R., and Williams, M. A. In vivo Dermal Absorption method and system for Laboratory Animals. The United States of America as represented by the Secretary of the Air Force. 06/612,776(4,582,055). 4-15-1986a. Washington, DC. 5-22-1984a. McDougal, J. N., Jepson, G. W., Clewell, H. J., III, and Andersen, M. E. (1985). Dermal absorption of dihalomethane vapors. Toxicol. Appl. Pharmacol. 79(1), 150-158. PM:4049402 McDougal, J. N., Jepson, G. W., Clewell, H. J., III, Gargas, M. L., and Andersen, M. E. (1990). Dermal absorption of organic chemical vapors in rats and humans. Fundam. Appl. Toxicol. 14(2), 299-308. PM:2318354 McDougal, J. N., Jepson, G. W., Clewell, H. J., III, MacNaughton, M. G., and Andersen, M. E. (1986). A physiological pharmacokinetic model for dermal absorption of vapors in the rat. Toxicol. Appl. Pharmacol. 85(2), 286-294. PM:3764915 McDougal, J. N., and Jurgens-Whitehead, J. L. (2001). Short-Term dermal absorption and penetration of chemicals from aqueous solutions: theory and experiment. Risk Anal. 21(4), 719-726. PM:11726022 McDougal, J. N., Pollard, D. L., Weisman, W., Garrett, C. M., and Miller, T. E. (2000). Assessment of skin absorption and penetration of JP-8 jet fuel and its components. Toxicol. Sci. 55(2), 247-255. PM:10828255 McDougal, J. N., and Robinson, P. J. (2002). Assessment of dermal absorption and penetration of components of a fuel mixture (JP-8). Sci. Total Environ. 288(1-2), 23-30. PM:12013544 Morgan, D. L., Cooper, S. W., Carlock, D. L., Sykora, J. J., Sutton, B., Mattie, D. R., and McDougal, J. N. (1991). Dermal absorption of neat and aqueous volatile organic chemicals in the Fischer 344 rat. Environ. Res. 55(1), 51-63. PM:1855490 Poet, T. S., and McDougal, J. N. (2002). Skin absorption and human risk assessment. Chem. Biol. Interact. 140(1), 19-34. PM:12044558 Reitz, R. H., McDougal, J. N., Himmelstein, M. W., Nolan, R. J., and Schumann, A. M. (1988). Physiologically based pharmacokinetic modeling with methylchloroform: implications for interspecies, high dose/low dose, and dose route extrapolations. Toxicol. Appl. Pharmacol. 95(2), 185-199. PM:3420611 Vinegar, A., Williams, R. J., Fisher, J. W., and McDougal, J. N. (1994). Dose-dependent metabolism of 2,2-dichloro-1,1,1-trifluoroethane: a physiologically based pharmacokinetic model in the male Fischer 344 rat. Toxicol. Appl. Pharmacol. 129(1), 103-113. PM:7974482 Williams, R. J., Vinegar, A., McDougal, J. N., Jarabek, A. M., and Fisher, J. W. (1996). Rat to human extrapolation of HCFC-123 kinetics deduced from halothane kinetics: a corollary approach to physiologically based pharmacokinetic modeling. Fundam. Appl. Toxicol. 30(1), 55-66. PM:8812223 James N. McDougal
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