Challenges and opportunities with the use of biomarkers to predict reproductive impairment in fishes exposed to endocrine disrupting substances.

Biomarkers are commonly used as signposts to evaluate the potential of contaminants to disrupt the endocrine system. However, the relationship between responses in these biomarkers and whole organism endpoints that directly affect population status is not clearly understood. In this study, the relationship between egg production (a whole-organism endpoint which has been directly linked to population-level responses) and biomarkers (sex steroids, vitellogenin (VTG) and gonad size) is examined. Data were collected from short-term reproductive tests in which a wide variety of fish species were exposed to a suite of contaminants with known or unknown modes/mechanisms of action (MOA). The potential to use biomarkers as signposts was evaluated by determining the occurrence of false negatives (i.e., an effect in egg production was not accompanied by a biomarker response) and false positives (i.e., an effect in biomarkers was not followed by an effect in egg production). The quantitative relationships between biomarkers and egg production, and the ability to use these quantitative relationships to predict population-level responses based on modeling was also assessed. A suite of female biomarkers resulted in a relatively low occurrence of both false positives and negatives, indicating the potential for their use as signposts for reproductive effects via endocrine disruption. Egg production in short-term adult fish reproductive tests showed significant relationships to 17β-estradiol (E2), changes in female VTG levels, and relative female gonad size (gonadosomatic index; GSI). Weaker significant relationships were found between egg production and both VTG levels and GSI in males. However, use of these quantitative relationships to predict population-level effects are cautioned because of high levels of uncertainty. This study demonstrates that there are qualitative and quantitative relationships among biomarkers, regardless of fish species used or the MOA of contaminants and concludes that a suite of female reproductive biomarkers can be used as effective signposts to screen chemicals and assess waste streams for endocrine disrupting substances with different MOA.