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Title

PROcEED: Probabilistic reverse dosimetry approaches for estimating exposure distributions

 

Authors

Christopher M Grulke, Kathleen Holm, Michael-Rock Goldsmith & Yu-Mei Tan*

 

Affiliation

National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA

 

Email

tan.cecilia@epa.gov; *Corresponding author

 

Article Type

Prediction model

 

Date

Received December 19, 2012; Accepted December 21, 2012; Published July 17, 2013

 

Abstract

As increasing amounts of biomonitoring survey data become available, a new discipline focused on converting such data into estimates of chemical exposures has developed. Reverse dosimetry uses a pharmacokinetic model along with measured biomarker concentrations to determine the plausible exposure concentrations-- a critical step to incorporate ground-truthing experimental data into a distribution of probable exposures that reduces model uncertainty and variability. At the population level, probabilistic reverse dosimetry can utilize a distribution of measured biomarker concentrations to identify the most likely exposure concentrations (or intake doses) experienced by the study participants. PROcEED is software that provides access to probabilistic reverse dosimetry approaches for estimating exposure distributions via a simple user interface.

 

Availability

PROcEED along with installation instructions is freely available for download from http://www.epa.gov/heasd/products/proceed/proceed.html.

 

Keywords

Reverse Dosimetry, PBPK Modeling, Exposure, Biomarkers.

 

Citation

Grulke et al. Bioinformation 9(13): 707-709 (2013)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.