Title

Authors

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

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.