Challenges and Recommendations in Assessing Potential Endocrine Disrupting Properties of Metals in Aquatic Organisms.
Kevin V BrixStijn BakenCraig A PolandRonny BlustLouise J PopeCharles R TylerPublished in: Environmental toxicology and chemistry (2023)
New tools and refined frameworks for identifying and regulating endocrine disrupting chemicals (EDCs) are being developed as our scientific understanding of how they work advances. Although focus has largely been on organic chemicals, the potential for metals to act as EDCs in aquatic systems is receiving increasing attention. Metal interactions with the endocrine system are complicated as some metals are essential to physiological systems, including the endocrine system, and non-essential metals can have similar physio-chemical attributes that allow substitution into or interference with these systems. Consequently, elevated metal exposure could potentially cause endocrine disruption, but can also cause indirect effects on the endocrine system via multiple pathways or elicit physiologically appropriate compensatory endocrine mediated responses (endocrine modulation). These latter two effects can be confused with, but are clearly not, endocrine disruption. In this paper, we provide several case studies that exemplify the challenges encountered in evaluating the endocrine disrupting (ED) potential of metals followed by recommendations on how to meet them. Given metals have multiple modes of action (MoAs), we recommend assessments use metal-specific adverse outcome pathway networks to ensure accurate causal links are made between MoAs and effects on the endocrine system. We recommend more focus on establishing molecular initiating events for chronic metal toxicity as these are poorly understood and would reduce uncertainty regarding the potential for metals to be EDCs. Finally, more generalized MoAs such as oxidative stress could be involved in metal interactions with the endocrine system, and we suggest it may be experimentally efficient to evaluate these MoAs when ED is inferred. These experiments, however, must provide explicit linkage to the ED endpoints of interest.