Dose-response modeling in reproductive toxicology in the systems biology era

Reprod Toxicol. 2005 Jan-Feb;19(3):327-37. doi: 10.1016/j.reprotox.2004.12.004.

Abstract

Systems biology approaches for modeling cellular signaling networks affected by chemical exposures should soon produce integrated methodologies capable of predicting dose-response relationships for developmental toxicants and for other toxic responses. This paper outlines an emerging strategy for systems biology approaches in dose-response modeling. Genome-wide functional screens, bioinformatic tools, and network mapping technologies together can provide directed graph representations of the cellular signaling networks. The graphical representations can be converted into mathematical models that permit predicting the shapes of dose-response curves for altered cell signaling by test compounds during development. Systems biology approaches require interdisciplinary teams with expertise in reproduction, cell biology, signal transduction, mathematical/biomedical modeling, and risk assessment. In addition to outlining a systems approach for dose-response research, this paper discusses initial stages of application of this strategy to examine inhibition of steroidogenesis in testes by phthalate esters.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Cells / metabolism
  • Computational Biology
  • Dose-Response Relationship, Drug*
  • Genomics
  • Humans
  • Models, Biological*
  • Reproduction*
  • Risk Assessment
  • Signal Transduction
  • Systems Biology*
  • Toxicology / methods*
  • Toxicology / trends
  • Xenobiotics / toxicity

Substances

  • Xenobiotics