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MERCURY 199<br />

2. HEALTH EFFECTS<br />

the carcass, gastrointestinal tissue, skin, <strong>and</strong> kidneys are assumed to follow a common mechanism <strong>and</strong> are<br />

based on the empirically estimated parameter <strong>for</strong> the kidneys. Transport of both organic <strong>and</strong> inorganic<br />

mercury to brain <strong>and</strong> hair compartments is assumed to be limited by the blood-brain barrier <strong>and</strong> the rate of<br />

hair growth. Recycled mercury from ingested hair during grooming was assumed available <strong>for</strong> reabsorption<br />

from the gut lumen at 100% <strong>for</strong> methylmercury <strong>and</strong> 10% <strong>for</strong> inorganic mercury.<br />

The authors make the assumption that all of the inorganic mercury resulting from the demethylation of<br />

methylmercury is mercuric mercury. Farris et al. (1993) note that the precise site of demethylation is<br />

unknown, although the body’s tissues <strong>and</strong> the lumen of the gastrointestinal tract seem most likely. For<br />

convenience, however, they modeled demethylation entirely in the liver compartment. Bidirectional <strong>and</strong><br />

symmetric transport of methylmercury between the gut tissue <strong>and</strong> lumen is assumed <strong>and</strong> modeled<br />

accordingly. Biliary secretion of both methylmercury <strong>and</strong> inorganic mercury are modeled as undergoing<br />

low-molecular weight nonprotein sulfhydryl (NPSH) secretion d-dependent transport. Methylmercury<br />

secreted into the gut lumen, either from biliary secretion or from the gut tissue, is modeled as being readily<br />

reabsorbed. In line with previous studies, the model sets a value of 10% <strong>for</strong> resorption of inorganic<br />

mercury secreted into the lumen from bile or from exfoliation of the gastrointestinal mucosal cells.<br />

The assumptions in the model were incorporated into a series of mass-balance differential equations that<br />

account <strong>for</strong> the changes in the amount of methylmercury <strong>and</strong> mercuric mercury in each compartment. The<br />

entire equation set was solved numerically using Gear’s method <strong>for</strong> stiff differential equations (Gear 1971).<br />

The initial mercury dose was administered at 100% methylmercury, administered as a bolus to the gut<br />

lumen compartment. The mass transport parameters listed in Table 2-6 were multiplied by the timedependent<br />

compartment volumes to give the mass transport parameters used in the model equations.<br />

Validation of the model. The Farris et al. model simulations were compared to an extensive set of data<br />

collected by the authors on the metabolism <strong>and</strong> distribution of an orally dosed bolus of radiolabeled methylmercury<br />

in male Sprague-Dawley rats. In a distribution study, tissue samples were collected on days 3, 7,<br />

14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84, 91, <strong>and</strong> 98 post-dosing. In a metabolism study with the same<br />

dosing regimen, whole body counts <strong>and</strong> 24-hour feces <strong>and</strong> urine samples were collected daily <strong>for</strong> 15 days<br />

post-dosing, <strong>and</strong> then twice weekly.<br />

The model simulations were in close agreement with the observed results from the distribution <strong>and</strong><br />

metabolism studies. Physiological processes that were highlighted by the results <strong>and</strong> the discrepancies that

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