90
Views
42
CrossRef citations to date
0
Altmetric
Commentary

Adapting concepts from systems biology to develop systems exposure event networks for exposure science research

&
Pages 99-105 | Received 01 Sep 2010, Accepted 16 Nov 2010, Published online: 08 Dec 2010
 

Abstract

Systems exposure science has emerged from the traditional environmental exposure assessment framework and incorporates new concepts that link sources of human exposure to internal dose and metabolic processes. Because many human environmental studies are designed for retrospective exposure evaluations they often do not provide practical toxicological outcome parameters. Our goal was to examine concepts from systems biology research and adapt them to a network approach that maps forward to a perturbation event using two hypothetical examples. The article proposes that environmental exposure studies should not only retrospectively document exposure levels, but also measure biological parameters that can be used to inform relevant systemic changes.

Acknowledgements

We thank J. Sobus, M. Medina-Vera, A. Geller, J. Preston, S. Edwards and M. Madden from US EPA, W. Funk from the University of North Carolina, Chapel Hill and S. Rappaport from the University of California, Berkeley for valuable insights and discussions. We especially thank C. Gaul and K. Tarpley from SRA International Creative Team for producing the artwork.

This work was reviewed by the U.S. EPA and approved for publication, but does not necessarily reflect official Agency policy.

Declaratation of interest

The authors declare they have no competing financial interests.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 527.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.