Endocrine disrupting chemicals in fish: Developing exposure indicators and predictive models of effects based on mechanism of action
Section snippets
Background
Prospective ecological risk assessments of most chemicals typically are conducted with little consideration for toxic mechanisms (or modes) of action (MOA). Testing for ecological effects usually includes a wide array of species and endpoints, with a focus primarily on apical responses. When little is known about the properties of a test chemical, this is a pragmatic approach; however, substantial benefits can be realized by basing testing and subsequent risk management decisions on known or
Experimental overview
The basic approach used for our work involves perturbation of the HPG axis with chemical probes known or hypothesized to impact different key control points, ranging from neurotransmitter receptors in the brain to steroid hormone receptors in gonads (Fig. 1). Following perturbation of the axis by chemicals with different MOA, information is collected at multiple biological levels of organization, ranging from molecular changes to apical responses (i.e., reproductive success), and even (via
Phase 1
Table 1 summarizes the fathead minnow 21-d reproduction tests that have been conducted to date and, where available, provides reference information for the completed studies. In terms of exposure concentrations that cause impacts on reproductive health, the test chemicals span a wide range of potency and efficacy, ranging from trenbolone which significantly decreased egg production at a water concentration of 0.05 μg/L (Ankley et al., 2003), to trilostane which affected egg production at a
Integrating the data: predictive modeling
To help design the Phase 1, 2 and 3 studies and subsequently interpret and integrate the large amounts of data collected, we are using a systems biology/toxicology approach. Villeneuve et al. (2007b) described development of a graphical systems model focused on defining the HPG axis of teleost fish, which enables consideration of the interactive nature of the system at multiple levels of biological organization, ranging from changes in gene, protein and metabolite expression profiles to effects
Prospectus
In this paper we describe a MOA/systems-based research effort with HPG-active chemicals that will help provide the technical basis for development of predictive toxicology tools (models, in vitro and short-term in vivo assays) which could improve the efficiency of current testing and monitoring programs for EDCs. As we contemplate informational needs for chemical risk assessments in the coming years, it is clear that historical toxicology approaches which focus mostly on generating empirical
Acknowledgements
We thank our many colleagues who have been involved in different aspects of this work, including L. Blake, J. Brodin, J. Cavallin, E. Durhan, K. Greene, M. Kahl, A. Linnum, E. Makynen and N. Mueller from the Duluth EPA lab; M. Henderson and Q. Teng from the Athens EPA lab; A. Biales, M. Kostich, D. Lattier and G. Toth from the Cincinnati EPA lab; X. Guan, C. Warner, L. Escalon, Y. Deng and S. Brasfield from the US Army Engineer Research and Development Center; J. Shoemaker, K. Gayen, and F. J.
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- 1
Current affiliation: Jackson State University, Jackson, MS, United States.
- 2
Current affiliation: University of St. Thomas, St. Paul, MN, United States.