i
Population-relevant endpoints in the evaluation of endocrine-active substances (EAS) for ecotoxicological hazard and risk assessment
-
2017
-
-
Source: Integrated Environmental Assessment and Management, 13(2), 317-330
Details:
-
Journal Title:Integrated Environmental Assessment and Management
-
Personal Author:
-
NOAA Program & Office:
-
Description:For ecotoxicological risk assessment, endocrine disruptors require the establishment of an endocrine mode of action (MoA) with a plausible link to a population-relevant adverse effect. Current ecotoxicity test methods incorporate mostly apical endpoints although some also include mechanistic endpoints, subcellular-through-organ level, which can help establish an endocrine MoA. However, the link between these endpoints and adverse population-level effects is often unclear. The case studies of endocrine-active substances (EAS) (tributyltin, ethinylestradiol, perchlorate, trenbolone, propiconazole, and vinclozolin) evaluated from the Society of Environmental Toxicology and Chemistry (SETAC) Pellston Workshop® “Ecotoxicological Hazard and Risk Assessment Approaches for Endocrine-Active Substances (EHRA)” were used to evaluate the population relevance of toxicity endpoints in various taxa according to regulatory endocrine-disruptor frameworks such as the Organisation for Economic Co-operation and Development (OECD) Conceptual Framework for Testing and Assessment of Endocrine Disruptors. A wide variety of potentially endocrine-relevant endpoints were identified for mollusks, fish, amphibians, birds, and mammals, although the strength of the relationship between test endpoints and population-level effects was often uncertain. Furthermore, testing alone is insufficient for assessing potential adaptation and recovery processes in exposed populations. For this purpose, models that link effects observed in laboratory tests to the dynamics of wildlife populations appear to be necessary, and their development requires reliable and robust data. As our understanding of endocrine perturbations and key event relationships improves, adverse population-level effects will be more easily and accurately predicted. Integr Environ Assess Manag 2017;13:317–330.
-
Keywords:
-
Source:Integrated Environmental Assessment and Management, 13(2), 317-330
-
DOI:
-
ISSN:1551-3777
-
Format:
-
Publisher:
-
Document Type:
-
License:
-
Rights Information:CC BY-NC
-
Compliance:Library
-
Main Document Checksum:
-
Download URL:
-
File Type: