Extrapolating salivary acinar cell in vitro pesticide transport to whole animals using computational modeling
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2016/03/01
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Description:Non-invasive biomonitoring with saliva has potential to significantly advance quantitative dosimetry as an integral component of epidemiology. However, predictions of which chemical and/or metabolites are excreted into saliva at detectable concentrations remain a challenge. In order to predict salivary clearance, a combination experimental and computational approach has been developed with 3,5,6-trichloro-2-pyridinol (TCPy) (the major chemical-specific metabolite of chlorpyrifos) to predict potential salivary levels. A Transwell in vitro rat salivary acinar cell system was utilized, where protein levels in the basolateral (27.2 mg/ mL) and apical (1.3 mg/mL) culture chambers, which represent blood and saliva compartments respectively, were altered using bovine serum albumin to more closely mimic physiological levels. TCPy was dosed to the basolateral chamber at two concentrations (250 and 2500 microM), and both chambers were sampled over time up to 24 hr. The rat salivary cell system maintained the protein gradient and tight junctions over the duration of the experiment as evidenced by consistent transepithelial electrical resistance levels. Levels of TCPy were quantified using gas chromatography-mass spectrometry, and at 24 hr, the predicted median saliva/blood concentration ratio was similar to published values measured in vivo (0.021 vs. 0.049). TCPy concentrations were modeled using a mechanistic computational cellular transport model. The resulting model simulations fit the data reasonably well, and fit parameters suggest that TCPy is transported across basolateral and apical cell membranes by passive diffusion. Model parameters were integrated into a physiologically based pharmacokinetic model, and reasonably predicted TCPy concentrations in rat saliva after intravenous administration of TCPy. This poster demonstrates the utility of this combination experimental and computational approach to predict chemical transport in saliva. [Description provided by NIOSH]
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ISSN:1096-6080
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Pages in Document:30
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Volume:150
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Issue:1
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NIOSHTIC Number:nn:20047579
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Citation:Toxicologist 2016 Mar; 150(1):30
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Federal Fiscal Year:2016
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Performing Organization:Battelle Pacific Northwest Laboratories
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Peer Reviewed:False
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Start Date:20060901
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Source Full Name:The Toxicologist. Society of Toxicology 55th Annual Meeting and ToxExpo, March 13-17, 2016, New Orleans, Louisiana
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End Date:20170831
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Main Document Checksum:urn:sha-512:1f9fd352ac46111a946bf0151de5aee3468597ec69b37e571302214d4e95c07877ff5139f091e642027acfe7fe302887e91f6ff37ea47cce61c0c6f1a446f3aa
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