161
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

A Spreadsheet Program for Modeling Quantitative Structure-Pharmacokinetic Relationships for Inhaled Volatile Organics in Humans

Pages 63-77 | Received 13 May 2004, Accepted 06 Sep 2004, Published online: 01 Feb 2007
 

Abstract

The extent and profile of target tissue exposure to toxicants depend upon the pharmacokinetic processes, namely, absorption, distribution, metabolism and excretion. The present study developed a spreadsheet program to simulate the pharmacokinetics of inhaled volatile organic chemicals (VOCs) in humans based on information from molecular structure. The approach involved the construction of a human physiologically-based pharmacokinetic (PBPK) model, and the estimation of its parameters based on quantitative structure-property relationships (QSPRs) in an Excel® spreadsheet. The compartments of the PBPK model consisted of liver, adipose tissue, poorly perfused tissues and richly perfused tissues connected by circulating blood. The parameters required were: human physiological parameters such as cardiac output, breathing rate, tissue volumes and tissue blood flow rates (obtained from the biomedical literature), tissue/air partition coefficients (obtained using QSPRs developed with rat data), blood/air partition coefficients (Pb) and hepatic clearance (CL). Using literature data on human Pb and CL for several VOCs (alkanes, alkenes, haloalkanes and aromatic hydrocarbons), multi-linear additive QSPR models were developed. The numerical contributions to human Pb and CL were obtained for eleven structural fragments (CH3, CH2, CH, C, C=C, H, Cl, Br, F, benzene ring, and H in the benzene ring structure). Using these data as input, the PBPK model written in an Excel® spreadsheet simulated the inhalation pharmacokinetics of ethylbenzene (33 ppm, 7 h) and dichloromethane (100 ppm, 6 h) in humans exposed to these chemicals. The QSPRs developed in this study should be useful for predicting the inhalation pharmacokinetics of VOCs in humans, prior to testing and experimentation.

Acknowledgements

This research was supported by the Natural Sciences and Engineering Research Council of Canada and the Canadian Network of Toxicology Centres. M.B. is a recipient of scholarships from the Natural Sciences and Engineering Research Council of Canada and Fonds de Recherche sur la Nature et les Technologies.

Notes

Presented at the 11th International Workshop on Quantitative Structure-Activity Relationships in the Human Health and Environmental Sciences (QSAR2004), 9–13 May 2004, Liverpool, England.

Additional information

Notes on contributors

K. Krishnan

Presented at the 11th International Workshop on Quantitative Structure-Activity Relationships in the Human Health and Environmental Sciences (QSAR2004), 9–13 May 2004, Liverpool, England.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.