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Exposure Related Dose Estimating Model (ERDEM)

Exposure Related Dose Estimating Model (ERDEM) A Physiologically-Based Pharmacokinetc and Pharmacodynamic (PBPK/PD) Model for Assessing Human Exposure and Risk (PDF, 160 pp., 4.8MB, About PDF), by Jerry N. Blancato, Fred W. Power, Robert N. Brown and Curtis C. Dary. EPA/600/R-06/061, June 2006.

ERDEM is a physiologically-based pharmacokinetic (PBPK) model with a graphical user interface (GUI) front end. Such a mathematical model was needed to make reliable estimates of the chemical dose to organs of animals or humans because of uncertainties of making route-to route, low-to-high exposure, and species-to-species extrapolations when there are exposures to one, or to multiple chemicals.

There is a new release of ERDEM presented here, Beta Version 5.1. It has a GUI front end, export and four model versions for small to very large models. This version contains the determination of enzyme inhibition and modeling of the transfer of chemical from a surface to skin. It has wash-off as well. There is a video tutorial, an extensive user guide and a user-friendly help system. The user can use the available comments screen to place references for parameter values. Version 5.1 has a greatly improved experimental data input screen as well as a much improved installation process. Databases from recent earlier versions of ERDEM can be converted to the version 5.1 database.

Doses may be peak concentration, area under the concentration time curve, or other measures of the chemical in given organs. Also, the metabolites of the exposure chemicals must be determined because their dose may be critical to the determination of a possible toxic event. The multitude of chemicals and their metabolites may act together, but most likely will have peak doses at different times and have different time profiles due to the nature of the exposure and the partitioning among the organs.

ERDEM solves a system of ordinary differential equations that describe the organ system consisting of lung, gastro-intestinal, dermal, liver, kidney, and other “compartments,” as needed. Metabolism, binding, and enzyme inhibition are modeled.

Experimental data is used, as available, in order to improve estimates of the various input parameters. Statistical analysis is performed as needed to determine a reasonable range of results, based on the variability and uncertainty of the input parameters. The system is flow limited, for the most part, with partition coefficients for each organ or compartment used to determine the amount of chemical species going to the compartment and that remaining in the blood.

References

DISCLAIMER: The model provided for download is in ERDEM5.1.exe. It has full user interface including enzyme inhibition and dermal transfer from surfaces to the skin. It includes a sample database. The parameters for a given model are in Model Data Sets. These parameters included are for test and demonstration purposes. All parameters used in the ERDEM models must be determined independently by the researcher and substantiated by references so that the model results can be evaluated based on the trustworthiness of the data sources.

Downloading ERDEM

ERDEM is a physiologically-based pharmacokinetic (PBPK) model that was developed using the Advanced Continuous Simulation Language (ACSL) from AEgis Technology Group, Inc., http://www.aegistg.comExit EPA DisclaimerAegis has stopped supporting ACSL and has released acslXtreme.

The U.S. EPA sponsored the development of the ERDEM software through an Interagency Agreement with the U.S. General Services Administration which contracted to Anteon Corporation, and a GSA Schedule 70 contract, currently in place, with Anteon (now, General Dynamics Information Technology). http://www.anteon.comExit EPA Disclaimer

Model development and usage requires ACSL and a FORTRAN package such as Compaq Visual FORTRAN. AEgis generously supplied a viewer that allows the code to be seen and the compiled models to be run (in read-only mode) without the use of ACSL or the FORTRAN program. The ERDEM 5.1 download software is provided below. A comment sheet is also provided.
Brief Instructions:

 

System Requirements:

The ERDEM 5.1 modeling system works on Windows 98, Windows NT 4.0, Windows 2000, and Windows XP. It may work on Windows ME, but has not been tested. The computer should have at least a 700 MHz processor and at least 512 MB of memory.

IMPORTANT: PLEASE REGISTER FIRST (link below) before performing the download.

Registration Form

We welcome comments that can be considered for future development. Comments or questions on ERDEM should be sent to erdem_model@epa.gov

ERDEM 5.1 Download:

Download ERDEM_5.exe

References

Abbas, R., Fisher, J.W. 1997. “A Physiologically-Based Pharmacokinetic Model for
Trichloroethylene and Its Metabolites, Chloral Hydrate, Trichloroacetate,
Dichloroacetate, Trichloroethanol, and Trichloroethanol Glucuronide in B6C3F1 Mice.”
Toxicol Appl Pharmacol 147: 15-30.

Blancato, J.N, Power, F.W., Wilkes, C.R., Tsang, A.M., Hern, S.C. and Olin, S.S. 2002. “Integrated probabilistic and deterministic modeling techniques in estimating exposure to water-borne contaminants:  Part2:  Pharmacokinetic Modeling”  Proceedings: Indoor Air 2002, 9th International Conference on Indoor Air Quality and Climate.   262-267

Clewell H.J., Gentry P.R., Allen B.C., Covington T.R., et al. 2000. “Development of a
Physiologically based Pharmacokinetic Model of Trichloroethylene and its Metabolites
for Use in Risk Assessment.” Environmental Health Perspectives. 108 (Supplement 2):
283-305.

Corley, RA, Mendrala, A.L., Smith, F.A., Staats, D.A., Gargas, M.L., Conolly, R.B.,
Andersen, M.E., and Reitz, R.H. 1990 “Development of a Physiologically Based
Pharmacokinetic Model for Chloroform.” Toxicol Appl Pharmacol. 103: 512-527

Dary, C.C., Blancato, J.N., Castles, M., Reddy, V., Cannon, M., Saleh, M.A., and Cash, G.G.  "Dermal Absorption and Disposition of Formulations of Malathion in Sprague-Dawley Rats and Humans" in Biomarkers of Human Exposure, ACS Symposium Series No. 542, Saleh, M., C. Nauman, and J. Blancato, eds. American Chemical Society 1993.

Fisher, J.W., Mahle, D., and Abbas,R. 1998. “A Human Physiologically Based
Pharmacokinetic Model for Trichloroethylene and Its Metabolites, Trichloroacetic Acid
and Free Trichloroethanol.Toxicol. Appl. Pharmacol. 152: 339-359

Gargas, M. L., Burgess, R.J., Voisard, D.E., Cason, G.H., and Andersen, M.E. 1989.
“Partition Coefficients of Low-Molecular Weight Volatile Chemicals in Various Liquids
and Tissues.” Toxicol. Appl. Pharmacol. 98, 87-99.

Nihlén, A., Johanson, G.  1999 Physiologically based Toxicokinetic modeling of inhaled methyl tertiary-butyl ether in humans.  Toxicol Sci 51:184-194.

Staats, D.A., Fisher, J.W., and Connolly, R.B. 1990 Gastrointestinal Absorption of
Xenobiotics in Physiologically Based Pharmacokinetic Models, a Two-Compartment
Description. The American Society for Pharmacology and Experimental Therapeutics.
19, No. 1: 144-148

U.S. EPA. August 1997b. Exposure Factors Handbook, Volume III, Activity Factors.
EPA/600/P-95/002Fc. U.S. EPA, Office of Research and Development, National Center
for Environmental Assessment.

U.S. EPA. 1997. “Guiding Principals for Monte Carlo Analysis.” EPA/630/R-97/001.
Available at www.epa.gov/ncea/monteabs.htm.

Human Exposure and Atmospheric Sciences

Research & Development | National Exposure Research Laboratory


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