Elsevier

Aquatic Toxicology

Volume 92, Issue 3, 5 May 2009, Pages 168-178
Aquatic Toxicology

Endocrine disrupting chemicals in fish: Developing exposure indicators and predictive models of effects based on mechanism of action

https://doi.org/10.1016/j.aquatox.2009.01.013Get rights and content

Abstract

Knowledge of possible toxic mechanisms (or modes) of action (MOA) of chemicals can provide valuable insights as to appropriate methods for assessing exposure and effects, thereby reducing uncertainties related to extrapolation across species, endpoints and chemical structure. However, MOA-based testing seldom has been used for assessing the ecological risk of chemicals. This is in part because past regulatory mandates have focused more on adverse effects of chemicals (reductions in survival, growth or reproduction) than the pathways through which these effects are elicited. A recent departure from this involves endocrine-disrupting chemicals (EDCs), where there is a need to understand both MOA and adverse outcomes. To achieve this understanding, advances in predictive approaches are required whereby mechanistic changes caused by chemicals at the molecular level can be translated into apical responses meaningful to ecological risk assessment. In this paper we provide an overview and illustrative results from a large, integrated project that assesses the effects of EDCs on two small fish models, the fathead minnow (Pimephales promelas) and zebrafish (Danio rerio). For this work a systems-based approach is being used to delineate toxicity pathways for 12 model EDCs with different known or hypothesized toxic MOA. The studies employ a combination of state-of-the-art genomic (transcriptomic, proteomic, metabolomic), bioinformatic and modeling approaches, in conjunction with whole animal testing, to develop response linkages across biological levels of organization. This understanding forms the basis for predictive approaches for species, endpoint and chemical extrapolation. Although our project is focused specifically on EDCs in fish, we believe that the basic conceptual approach has utility for systematically assessing exposure and effects of chemicals with other MOA across a variety of biological systems.

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.

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