Science Inventory

Biomarkers in Computational Toxicology

Citation:

Tan, C., D. Chang, M. Phillips, S. Edwards, Chris Grulke, Rocky Goldsmith, J. Sobus, R. Conolly, R. Tornero-Velez, AND C. Dary. Biomarkers in Computational Toxicology. Chapter 63, Biomarkers in Toxicology. Elsevier, Shannon, Ireland, , 1039-1055, (2014).

Impact/Purpose:

The National Exposure Research Laboratory′s (NERL′s) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA′s mission to protect human health and the environment. HEASD′s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA′s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.

Description:

Biomarkers are a means to evaluate chemical exposure and/or the subsequent impacts on toxicity pathways that lead to adverse health outcomes. Computational toxicology can integrate biomarker data with knowledge of exposure, chemistry, biology, pharmacokinetics, toxicology, and epidemiology to inform the linkages among exposure, susceptibility, and human health. This chapter provides an overview of four computational modeling approaches and their applications for interpreting biomarker data. Exposure models integrate the microenvironmental concentrations with human activity data to estimate intake doses. Dosimetry models incorporate mechanistic biological information to link intake doses to biomarkers. Biologically plausible models describe normal and xenobiotic-perturbed behaviors that can be distinguished using biomarkers. Cheminformatics-based models provide rapid assessments to inform future biomarker studies. Together these modeling approaches allow for comprehensive investigations of biomarker data to between link exposures and disease.

URLs/Downloads:

Elsevier   Exit

BIOMARKERS IN COMPUTATIONAL TOXICOLOGY 04162013.PDF   (PDF,NA pp, 1941.898 KB,  about PDF)

Record Details:

Record Type: DOCUMENT (BOOK CHAPTER)
Product Published Date: 02/24/2014
Record Last Revised: 04/20/2015
OMB Category: Other
Record ID: 307730

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL EXPOSURE RESEARCH LABORATORY

HUMAN EXPOSURE AND ATMOSPHERIC SCIENCES DIVISION

EXPOSURE & DOSE RESEARCH BRANCH