Data set includes empirical results from 60 h, 10 d, and 21 d exposures of female fathead minnows to the fungicide imazalil as well as simulations from predictive models anchored to an established adverse outcome pathway (https://aopwiki.org/aops/25). Contents are organized into multiple tabs: (1) Simulated effects on plasma 17b-estradiol and vitellogenin used to inform experimental design. (2) Model simulations based on nominal concentrations used in the 60 h, 10 d, and 21 d exposures. (3) Biological effects data from the 60 h experiment. (4) Analytical exposure verification from the 60 h experiment. (5) Biological effects data from the 10 d exposure. (6) Biological effects data from 21 d exposure. (7) Analytical exposure verification from the 10 d and 21 d exposures. (8) Reproduction data from the 10 d and 21 d exposures. (9) Simulated reproduction results based on nominal exposure concentrations used in the 10 d and 21 d exposures. (10) Histopathology evaluations for selected females from the 10 d and 21 d exposures. This dataset is associated with the following publication: Villeneuve, D., B. Blackwell, C. Blanksma, J. Cavallin, W. Cheng, R. Conolly, K. Conrow, D. Feifarek, L. Heinis, K. Jensen, M. Kahl, R. Milsk, S. Poole, E. Randolph, T. Saari, K. Watanabe, and G. Ankley. Case Study in 21st-Century Ecotoxicology: Using In Vitro Aromatase Inhibition Data to Predict Reproductive Outcomes in Fish In Vivo. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(1): 100-116, (2023).

This research was designed to evaluate whether a biologically-based computational model aligned with an adverse outcome pathway (AOP) could effectively predict animal (in vivo) responses to chemicals shown to inhibit the enzyme aromatase in a non-animal (in vitro) screening assays. Aromatase is an enzyme that plays a critical role in the synthesis of estrogens, an important class of hormones, and chemicals that inhibit aromatase are viewed as probable endocrine disrupting compounds. Although the model was not able to accurately predict the average in vivo responses observed for all chemicals tested, there was strong qualitative to semi-quantitative agreement with the proposed AOP and predictions did fall within the distribution of measured values. Consequently, this “new approach methodology” likely has utility for screening-level assessments. This work helps to establish the confidence and limitations of this approach. The data set includes: 1) High throughput screening results for chemicals identified as aromatase inhibitors. 2) Novel in vitro aromatase inhibition data for six chemicals. 3) Modeled predictions of impacts on 17b-estradiol and vitellogenin concentrations over a range of concentrations. 4) Measured biological effects of 3 aromatase inhibitors in fathead minnows exposed for 24 h. 5) Measured plasma and water concentrations of the test chemicals. This dataset is associated with the following publication: Villeneuve, D., B. Blackwell, J. Cavallin, W. Cheng, R. Conolly, D. Feifarek, K. Jensen, M. Kahl, R. Milsk, S. Poole, E. Randolph, T. Saari, and G. Ankley. Case study in 21st century ecotoxicology: Using in vitro aromatase inhibition data to predict short term in vivo responses in adult female fish. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(4): 1155-1170, (2021).

This research was designed to evaluate whether a biologically-based computational model aligned with an adverse outcome pathway (AOP) could effectively predict animal (in vivo) responses to chemicals shown to inhibit the enzyme aromatase in a non-animal (in vitro) screening assays. Aromatase is an enzyme that plays a critical role in the synthesis of estrogens, an important class of hormones, and chemicals that inhibit aromatase are viewed as probable endocrine disrupting compounds. Although the model was not able to accurately predict the average in vivo responses observed for all chemicals tested, there was strong qualitative to semi-quantitative agreement with the proposed AOP and predictions did fall within the distribution of measured values. Consequently, this “new approach methodology” likely has utility for screening-level assessments. This work helps to establish the confidence and limitations of this approach. The data set includes: 1) High throughput screening results for chemicals identified as aromatase inhibitors. 2) Novel in vitro aromatase inhibition data for six chemicals. 3) Modeled predictions of impacts on 17b-estradiol and vitellogenin concentrations over a range of concentrations. 4) Measured biological effects of 3 aromatase inhibitors in fathead minnows exposed for 24 h. 5) Measured plasma and water concentrations of the test chemicals. This dataset is associated with the following publication: Villeneuve, D., B. Blackwell, J. Cavallin, W. Cheng, R. Conolly, D. Feifarek, K. Jensen, M. Kahl, R. Milsk, S. Poole, E. Randolph, T. Saari, and G. Ankley. Case study in 21st century ecotoxicology: Using in vitro aromatase inhibition data to predict short term in vivo responses in adult female fish. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(4): 1155-1170, (2021).

Predictive models and frameworks for linking inhibition of the enzyme aromatase, as measured in non-animal high throughput screening assays, to adverse effects on reproduction in fish have been established. However, those models were established using data from several fish species commonly reared in the laboratory that employ a particular reproductive strategy involving asynchronous oocyte development and repeat spawning. Many fish species employ synchronous oocyte development and spawn annually. This product was intended to help address the question of whether the current approaches for predicting impacts of aromatase inhibitors are applicable to fish with a synchronous/annual spawning reproduction strategy. The study establishes the mosquitofish as a viable laboratory model with synchronous oocyte development and provides preliminary evidence that exposure to aromatase inhibitors during a critical period of the reproductive cycle can lead to adverse effects on fish reproduction. This dataset provides all the data used to generate the tables and figures presented in Doering et al. "Assessing reproductive effects of aromatase inhibition on fishes with group-synchronous oocyte development using Western Mosquitofish (Gambusia affinis) as a model." Data are organized as separate tabs in an Excel spreadsheet with a cover sheet, followed by a separate tab for each Figure and Table from the manuscript.

Predictive models and frameworks for linking inhibition of the enzyme aromatase, as measured in non-animal high throughput screening assays, to adverse effects on reproduction in fish have been established. However, those models were established using data from several fish species commonly reared in the laboratory that employ a particular reproductive strategy involving asynchronous oocyte development and repeat spawning. Many fish species employ synchronous oocyte development and spawn annually. This product was intended to help address the question of whether the current approaches for predicting impacts of aromatase inhibitors are applicable to fish with a synchronous/annual spawning reproduction strategy. The study establishes the mosquitofish as a viable laboratory model with synchronous oocyte development and provides preliminary evidence that exposure to aromatase inhibitors during a critical period of the reproductive cycle can lead to adverse effects on fish reproduction. This dataset provides all the data used to generate the tables and figures presented in Doering et al. "Assessing reproductive effects of aromatase inhibition on fishes with group-synchronous oocyte development using Western Mosquitofish (Gambusia affinis) as a model." Data are organized as separate tabs in an Excel spreadsheet with a cover sheet, followed by a separate tab for each Figure and Table from the manuscript.

Fathead minnows (Pimephales promelas) were exposed to 100 ug/L indomethacin, 200 ug/L ibuprofen, or 20 ug/L celecoxib for 96 h. Effects on cycloxygenase enzyme activity in ovary, prostaglandin F2alpha concentrations in plasma, 17beta-estradiol concentrations in plasma, and vitellogenin concentrations in plasma were measured. Gene expression in ovary samples was evaluated using a 15,000 probe oligonucleotide microarray. Transcriptomics data (raw data and normalized) are available through the National Center for Biotechnology Information, Gene Expression Omnibus (GEO), accession number GSE72976. Metabolite profiles in liver tissue were measured by proton nuclear magnetic resonance. In addition to these data, the data set also contains identification of differentially expressed genes, pathway enrichment and gene set enrichment analyes, ToxCast data for indomethacin and celecoxib, chemical-gene interaction data derived from the Comparative Toxicogenomics database, and results from Level 1, Level 2, and Level 3 SeqAPASS analyses that examine conservation of target proteins across species (https://seqapass.epa.gov/seqapass/). This dataset is associated with the following publication: Martinovic-Weigelt, D., A. Mehinto, G. Ankley , J. Berninger, T. Collette , J. Davis , N. Denslow, E. Durhan, E. Eid, D. Ekman , K. Jensen , M. Kahl , C. LaLone , Q. Teng , and D. Villeneuve. Derivation and evaluation of putative adverse outcome pathways for the effects of cyclooxygenase inhibitors on reproductive processes in female fish. TOXICOLOGICAL SCIENCES. Society of Toxicology, 156(2): 344-361, (2017).

Fathead minnows (Pimephales promelas) were exposed to 100 ug/L indomethacin, 200 ug/L ibuprofen, or 20 ug/L celecoxib for 96 h. Effects on cycloxygenase enzyme activity in ovary, prostaglandin F2alpha concentrations in plasma, 17beta-estradiol concentrations in plasma, and vitellogenin concentrations in plasma were measured. Gene expression in ovary samples was evaluated using a 15,000 probe oligonucleotide microarray. Transcriptomics data (raw data and normalized) are available through the National Center for Biotechnology Information, Gene Expression Omnibus (GEO), accession number GSE72976. Metabolite profiles in liver tissue were measured by proton nuclear magnetic resonance. In addition to these data, the data set also contains identification of differentially expressed genes, pathway enrichment and gene set enrichment analyes, ToxCast data for indomethacin and celecoxib, chemical-gene interaction data derived from the Comparative Toxicogenomics database, and results from Level 1, Level 2, and Level 3 SeqAPASS analyses that examine conservation of target proteins across species (https://seqapass.epa.gov/seqapass/). This dataset is associated with the following publication: Martinovic-Weigelt, D., A. Mehinto, G. Ankley , J. Berninger, T. Collette , J. Davis , N. Denslow, E. Durhan, E. Eid, D. Ekman , K. Jensen , M. Kahl , C. LaLone , Q. Teng , and D. Villeneuve. Derivation and evaluation of putative adverse outcome pathways for the effects of cyclooxygenase inhibitors on reproductive processes in female fish. TOXICOLOGICAL SCIENCES. Society of Toxicology, 156(2): 344-361, (2017).

Adverse outcome pathway (AOP) networks potentially provide a basis for predictive approaches to assess the toxicity of chemical mixtures. This study evaluated the utility of a simple AOP network to predict the interactive effects of a binary chemical mixture comprised of an inhibitor of the aromatase enzyme (fadrozole, a human pharmaceutical) and an agonist of the androgen receptor (trenbolone, a veterinary drug). Overall, prediction of interactive effects of the two chemicals based on the AOP network did not match actual observed effects. Rather, the two compounds seemed to interact in an independent manner in terms of their effects on the hypothalamic-pituitary-gonadal axis in the fish. This dataset is associated with the following publication: Ankley, G., B. Blackwell, J. Cavallin, J. Doering, D.J. Feifarek, K. Jensen, M. Kahl, C. Lalone, S. Poole, E. Randolph, T. Saari, and D. Villeneuve. Adverse outcome pathway network-based assessment of the interactive effects of an androgen receptor agonist and an aromatase inhibitor on fish endocrine function. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 39(4): 913-922, (2020).

Adverse outcome pathway (AOP) networks potentially provide a basis for predictive approaches to assess the toxicity of chemical mixtures. This study evaluated the utility of a simple AOP network to predict the interactive effects of a binary chemical mixture comprised of an inhibitor of the aromatase enzyme (fadrozole, a human pharmaceutical) and an agonist of the androgen receptor (trenbolone, a veterinary drug). Overall, prediction of interactive effects of the two chemicals based on the AOP network did not match actual observed effects. Rather, the two compounds seemed to interact in an independent manner in terms of their effects on the hypothalamic-pituitary-gonadal axis in the fish. This dataset is associated with the following publication: Ankley, G., B. Blackwell, J. Cavallin, J. Doering, D.J. Feifarek, K. Jensen, M. Kahl, C. Lalone, S. Poole, E. Randolph, T. Saari, and D. Villeneuve. Adverse outcome pathway network-based assessment of the interactive effects of an androgen receptor agonist and an aromatase inhibitor on fish endocrine function. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 39(4): 913-922, (2020).

Aromatase inhibition is one of the chemical modes of action of concern to EPA's Endocrine Disruptor Screening Program (EDSP). In vitro bioassays that can detect aromatase inhibition are part of both the EDSP tier 1 screening program and are included subset of ToxCast assays employed for EDSP21 screening. An adverse outcome pathway (AOP) linking aromatase inhibition to reproductive dysfunction in fish has been described and endorsed by the OECD, establishing a scientifically sound connection between aromatase inhibition and adverse apical outcomes relevant to risk assessment and regulatory decision-making. Further, computational models that allow for quantitative prediction of dose-response time-course behaviors and the potential severity of the adverse outcome based on in vitro screening data have been developed. The present study provides further weight of evidence to support this AOP and its use in regulatory decision-making. In particular, it identifies rapid responses to aromatase inhibition that can be expected to occur within the first 24 h of exposure, examines the dynamic stability of gene expression responses over that period to help identify appropriate time periods in which characteristic gene expression responses may serve as effective biomarkers of exposure to aromatase inhibitors, and provides insights into different gene regulatory mechanisms that may be operating over the first few hours of exposure versus more systemic endocrine-related regulation that appear to take over after 6-12 h of exposure. These data continue to refine our understanding of this important mode of endocrine disruption and how to more efficiently and effectively both model and test for it to support regulatory decision-making. This dataset is associated with the following publication: Schroeder, A., G. Ankley, T. Habib, N. Garcia-Reyero, B. Escalon, K. Jensen, M. Kahl, E. Durhan, E. Makynen, J. Cavallin, D. Martinovic-Weigelt, E. Perkins, and D. Villeneuve. Rapid effects of the aromatase inhibitor fadrozole on steroid production and gene expression in the ovary of female fathead minnows (Pimephales promelas). GENERAL AND COMPARATIVE ENDOCRINOLOGY. Academic Press Incorporated, Orlando, FL, USA, 252: 79-87, (2017).