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Predicting Transport of 3,5,6-Trichloro-2-Pyridinol Into Saliva Using a Combination Experimental and Computational Approach.

Authors :
Smith, Jordan Ned
Carver, Zana A.
Weber, Thomas J.
Timchalk, Charles
Source :
Toxicological Sciences. Jun2017, Vol. 157 Issue 2, p438-450. 13p. 2 Diagrams, 2 Charts, 6 Graphs.
Publication Year :
2017

Abstract

A combination experimental and computational approach was developed to predict chemical transport into saliva. A serous-acinar chemical transport assay was established to measure chemical transport with nonphysiological (standard cell culture medium) and physiological (using surrogate plasma and salivamedium) conditions using 3,5,6-trichloro-2-pyridinol (TCPy) ametabolite of the pesticide chlorpyrifos. High levels of TCPy protein binding were observed in cell culture medium and rat plasma resulting in different TCPy transport behaviors in the 2 experimental conditions. In the nonphysiological transport experiment, TCPy reached equilibrium at equivalent concentrations in apical and basolateral chambers. At higher TCPy doses, increased unbound TCPy was observed, and TCPy concentrations in apical and basolateral chambers reached equilibrium faster than lower doses, suggesting only unbound TCPy is able to cross the cellularmonolayer. In the physiological experiment, TCPy transport was slower than nonphysiological conditions, and equilibriumwas achieved at different concentrations in apical and basolateral chambers at a comparable ratio (0.034) to what was previouslymeasured in rats dosed with TCPy (saliva:blood ratio: 0.049). A cellular transport computationalmodel was developed based on TCPy protein binding kinetics and simulated all transport experiments reasonably well using different permeability coefficients for the 2 experimental conditions (1.14 vs 0.4 cm/h for nonphysiological and physiological experiments, respectively). The computationalmodel was integrated into a physiologically based pharmacokinetic model and accurately predicted TCPy concentrations in saliva of rats dosed with TCPy. Overall, this study demonstrates an approach to predict chemical transport in saliva, potentially increasing the utility of salivary biomonitoring in the future. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10966080
Volume :
157
Issue :
2
Database :
Academic Search Index
Journal :
Toxicological Sciences
Publication Type :
Academic Journal
Accession number :
123248580
Full Text :
https://doi.org/10.1093/toxsci/kfx055