Agency's Endocrine Disruptor Screening Research Articles

Optimizing androgen receptor prioritization using high-throughput assay-based activity models.

Introduction: Computational models using data from high-throughput screening assays have promise for prioritizing and screening chemicals for testing under the U.S. Environmental Protection Agency's Endocrine Disruptor Screening Program (EDSP). The purpose of this work was to demonstrate a data processing method for the determination of optimal minimal assay batteries from a larger comprehensive model, to provide a uniform method of evaluating the performance of future minimal assay batteries compared with the androgen receptor (AR) pathway model, and to incorporate chemical cluster analysis into this evaluation. Although several of the assays in the AR pathway model are no longer available through the original vendor, this approach could be used for future evaluations of minimal assay models for prioritization and screening. Methods: We compared two previously published models and found that an expanded 14-assay model had higher sensitivity for antagonists, whereas the original 11-assay model had slightly higher sensitivity for agonists. We then investigated subsets of assays in the original AR pathway model to optimize overall testing strategies that minimize cost while maintaining sensitivity across a broad chemical space. Results and Discussion: Evaluation of the critical assays across subset models derived from the 14-assay model identified three critical assays for predicting antagonism and two critical assays for predicting agonism. A minimum of nine assays is required for predicting agonism and antagonism with high sensitivity (95%). However, testing workflows guided by chemical structure-based clusters can reduce the average number of assays needed per chemical by basing the assays selected for testing on the likelihood of a chemical being an AR agonist, according to its structure. Our results show that a multi-stage testing workflow can provide 95% sensitivity while requiring only 48% of the resources required for running all assays from the original full models. The resources can be reduced further by incorporating in silico activity predictions. Conclusion: This work illustrates a data-driven approach that incorporates chemical clustering and simultaneous consideration of antagonism and agonism mechanisms to more efficiently screen chemicals. This case study provides a proof of concept for prioritization and screening strategies that can be utilized in future analyses to minimize the overall number of assays needed for predicting AR activity, which will maximize the number of chemicals that can be tested and allow data-driven prioritization of chemicals for further screening under the EDSP.

Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models.

The U. S. Environmental Protection Agency's Endocrine Disruptor Screening Program (EDSP) Tier 1 assays are used to screen for potential endocrine system-disrupting chemicals. A model integrating data from 16 high-throughput screening assays to predict estrogen receptor (ER) agonism has been proposed as an alternative to some low-throughput Tier 1 assays. Later work demonstrated that as few as four assays could replicate the ER agonism predictions from the full model with 98% sensitivity and 92% specificity. The current study utilized chemical clustering to illustrate the coverage of the EDSP Universe of Chemicals (UoC) tested in the existing ER pathway models and to investigate the utility of chemical clustering to evaluate the screening approach using an existing 4-assay model as a test case. Although the full original assay battery is no longer available, the demonstrated contribution of chemical clustering is broadly applicable to assay sets, chemical inventories, and models, and the data analysis used can also be applied to future evaluation of minimal assay models for consideration in screening. Chemical structures were collected for 6,947 substances via the CompTox Chemicals Dashboard from the over 10,000 UoC and grouped based on structural similarity, generating 826 chemical clusters. Of the 1,812 substances run in the original ER model, 1,730 substances had a single, clearly defined structure. The ER model chemicals with a clearly defined structure that were not present in the EDSP UoC were assigned to chemical clusters using a k-nearest neighbors approach, resulting in 557 EDSP UoC clusters containing at least one ER model chemical. Performance of an existing 4-assay model in comparison with the existing full ER agonist model was analyzed as related to chemical clustering. This was a case study, and a similar analysis can be performed with any subset model in which the same chemicals (or subset of chemicals) are screened. Of the 365 clusters containing >1ER model chemical, 321 did not have any chemicals predicted to be agonists by the full ER agonist model. The best 4-assay subset ER agonist model disagreed with the full ER agonist model by predicting agonist activity for 122 chemicals from 91 of the 321 clusters. There were 44 clusters with at least two chemicals and at least one agonist based upon the full ER agonist model, which allowed accuracy predictions on a per-cluster basis. The accuracy of the best 4-assay subset ER agonist model ranged from 50% to 100% across these 44 clusters, with 32 clusters having accuracy ≥90%. Overall, the best 4-assay subset ER agonist model resulted in 122 false-positive and only 2 false-negative predictions compared with the full ER agonist model. Most false positives (89) were active in only two of the four assays, whereas all but 11 true positive chemicals were active in at least three assays. False positive chemicals also tended to have lower area under the curve (AUC) values, with 110 out of 122 false positives having an AUC value below 0.214, which is lower than 75% of the positives as predicted by the full ER agonist model. Many false positives demonstrated borderline activity. The median AUC value for the 122 false positives from the best 4-assay subset ER agonist model was 0.138, whereas the threshold for an active prediction is 0.1. Our results show that the existing 4-assay model performs well across a range of structurally diverse chemicals. Although this is a descriptive analysis of previous results, several concepts can be applied to any screening model used in the future. First, the clustering of the chemicals provides a means of ensuring that future screening evaluations consider the broad chemical space represented by the EDSP UoC. The clusters can also assist in prioritizing future chemicals for screening in specific clusters based on the activity of known chemicals in those clusters. The clustering approach can be useful in providing a framework to evaluate which portions of the EDSP UoC chemical space are reliably covered by in silico and in vitro approaches and where predictions from either method alone or both methods combined are most reliable. The lessons learned from this case study can be easily applied to future evaluations of model applicability and screening to evaluate future datasets.

Medaka (Oryzias latipes) Multigeneration Test with Triclosan.

The medaka extended one-generation reproduction test (MEOGRT) is a tier-2 study in the US Environmental Protection Agency's Endocrine Disruptor Screening Program and a level-5 study in the Organisation for Economic Co-operation and Development's conceptual framework. Integrating nonspecific apical and endocrine-specific mechanistic endpoints, results of a MEOGRT can be used, with other data, in a weight-of-evidence evaluation to establish a dose-response relationship for risk assessment and identify potential causal relationships between an endocrine mode of action and adverse effects. The MEOGRT test design was used to evaluate the multigenerational effects of the antimicrobial agent triclosan. Japanese medaka were exposed to nominal concentrations of 1.4, 2.8, 5.6, 11, and 23 μg/L triclosan and a dilution water control starting with adult medaka (F0) through hatch in the second generation (F2). No consistent or concentration-related responses occurred in the 182-d test that suggested an endocrine-mediated effect. There were no impacts on hepatic vitellogenin, secondary sex characteristics, or sex ratio that were linked to an adverse reproductive outcome. Histopathological responses were consistent with a toxic or stress effect, particularly when considered in context with observed reductions in growth. The overall population-relevant no-observed-effect concentration was 11 µg/L based on effects on growth. The results of the present study support a previously conducted weight-of-evidence evaluation concluding that triclosan does not act as an agonist or antagonist within estrogen, androgen, thyroid, or steroidogenic pathways. Environ Toxicol Chem 2019;38:1770-1783. © 2019 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.

Control performance of fish short term reproduction assays with fathead minnow (Pimephales promelas)

The fish short-term reproduction assay (FSTRA) is an in vivo screen to assess potential interactions with the fish endocrine system. After a 21-day exposure period vitellogenin (VTG) and secondary sexual characteristics are measured in males and females. Egg production and fertility are also monitored daily throughout the test. This paper presents data from 49 studies performed to satisfy test orders from the United States Environmental Protection Agency's Endocrine Disruptor Screening Program. Data Evaluation Records were used to collate the typical control variability and performance of test parameters in FSTRAs conducted in different laboratories with fathead minnow (Pimephales promelas). We also examine the statistical power of FSTRA endpoints and assess whether available historical control data (HCD) assist evidence-based interpretation of the endpoints. Statistically significant inter-laboratory differences were found for all endpoints except survival. HCD could therefore be usefully developed on a laboratory-by-laboratory basis to aid interpretation of new study data. Reliable HCD ranges could be developed for survival, body weight/length, gonadal somatic index, fertilisation success, and male tubercle score, and used in association with stated test acceptability criteria to interpret FSTRA data. In contrast, high intra- and inter-laboratory control variability for VTG and fecundity means that HCD for these endpoints are of limited use during study interpretation.

A novel framework for interpretation of data from the fish short-term reproduction assay (FSTRA) for the detection of endocrine-disrupting chemicals.

The fish short-term reproduction assay (FSTRA) is a key component of the US Environmental Protection Agency's Endocrine Disruptor Screening Program (EDSP), which uses a weight-of-evidence analysis based on data from several assays to identify the potential for chemicals to act as agonists or antagonists of the estrogen or androgen receptors (ER and AR), or inhibitors of steroidogenic enzymes. The FSTRA considers a variety of mechanistic and apical responses in 21-d exposures with the fathead minnow (Pimephales promelas), including plasma steroid and vitellogenin (VTG; egg yolk protein) concentrations, secondary sex characteristics, gonad size and histopathology, and egg production. Although the FSTRA initially was described several years ago, recent data generation associated with implementation of the EDSP highlighted the need for more formal guidance regarding evaluation of information from the assay. The authors describe a framework for interpretation of FSTRA data relative to perturbation of endocrine pathways of concern to the EDSP. The framework considers end points individually and as suites of physiologically related responses relative to pathway identification. Sometimes changes in single end points can be highly diagnostic (e.g., induction of VTG in males by ER agonists, production of male secondary sex characteristics in females by AR agonists); in other instances, however, multiple, related end points are needed to reliably assess pathway perturbation (e.g., AR antagonism, steroid synthesis inhibition). In addition to describing an interpretive framework, the authors demonstrate its practical utility using publicly available FSTRA data for a wide range of known and hypothesized endocrine-disrupting chemicals. Environ Toxicol Chem 2014;33:2529-2540. Published 2014 Wiley Periodicals Inc., on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.

Key Learnings from the Endocrine Disruptor Screening Program (EDSP) Tier 1 Rodent Uterotrophic and Hershberger Assays

In 2009, companies began screening compounds using the US Environmental Protection Agency's Endocrine Disruptor Screening Program (EDSP). EDSP has two tiers: Tier 1 includes 11 assays to identify compounds with potential endocrine activity. This article describes two laboratories' experiences conducting Tier 1 uterotrophic and Hershberger assays. The uterotrophic assay detects estrogen receptor agonists through increases in uterine weight. The advantages of the uterotrophic rat models (immature vs. adult ovariectomized) and exposure routes are discussed. Across 29 studies, relative differences in uterine weights in the vehicle control group and 17α-ethynylestradiol–positive control group were reasonably reproducible. The Hershberger assay detects androgen receptor (AR) agonists, antagonists, and 5α-reductase inhibitors through changes in accessory sex tissue (AST) weights. Across 23 studies, AST weights were relatively reproducible for the vehicle groups (baseline), testosterone propionate (TP) groups (androgenic response), and flutamide + TP groups (antiandrogenic response). In one laboratory, one and four compounds were positive in the androgenic and antiandrogenic portions of the assay, respectively. Each compound was also positive for AR binding. In the other laboratory, three compounds showed potential antiandrogenic activity, but each compound was negative for AR binding and did not fit the profile for 5α-reductase inhibition. These compounds induced hepatic enzymes that enhanced testosterone metabolism/clearance, resulting in lower testosterone and decreased capacity to maintain AST weights. The Hershberger androgenic and antiandrogenic performance criteria were generally attainable. Overall, the uterotrophic and Hershberger assays were easily adopted and function as described for EDSP screening, although the mode of action for positive results may not be easily determined.

Challenges and Approaches to Conducting and Interpreting the Amphibian Metamorphosis Assay and the Fish Short‐Term Reproduction Assay

The amphibian metamorphosis assay (AMA) and the fish short-term reproduction assay (FSTRA) are screening assays designed to detect potential endocrine activity of a test substance. These assays are included in a battery of assays in Tier 1 of U.S. Environmental Protection Agency's Endocrine Disruptor Screening Program. Based on our laboratory's experience with these two assays, we have noted several challenges in the conduct and interpretation of the AMA and FSTRA, including, but not limited to, diseased/parasitized test organisms, failure to meet some guideline performance criteria, and issues selecting and maintaining test concentrations. Various approaches are described for addressing the challenges associated with both the conduct and interpretation of these assays. Historical control data for both the AMA and FSTRA are presented to further understand background occurrences of histopathological phenomena and variability associated with the measured endpoints in these assays. In the historical control database for the AMA, wet weight on day 7 was the most variable endpoint (coefficient of variation = 26%), while developmental stage on day 21 was least variable (coefficient of variation = 0.47%). In the FSTRA, vitellogenin concentrations were the most variable endpoint (coefficient of variation = 47-84%), while fertility was the least variable endpoint (coefficient of variation = 1.5%) among historical controls.

Predicting chemical impacts on vertebrate endocrine systems

Animals have evolved diverse protective mechanisms for responding to toxic chemicals of both natural and anthropogenic origin. From a governmental regulatory perspective, these protective responses complicate efforts to establish acceptable levels of chemical exposure. To explore this issue, we considered vertebrate endocrine systems as potential targets for environmental contaminants. Using the hypothalamic-pituitary-thyroid (HPT), hypothalamic-pituitary-gonad (HPG), and hypothalamic-pituitary-adrenal (HPA) axes as case examples, we identified features of these systems that allow them to accommodate and recover from chemical insults. In doing so, a distinction was made between effects on adults and those on developing organisms. This distinction was required because endocrine system disruption in early life stages may alter development of organs and organ systems, resulting in permanent changes in phenotypic expression later in life. Risk assessments of chemicals that impact highly regulated systems must consider the dynamics of these systems in relation to complex environmental exposures. A largely unanswered question is whether successful accommodation to a toxic insult exerts a fitness cost on individual animals, resulting in adverse consequences for populations. Mechanistically based mathematical models of endocrine systems provide a means for better understanding accommodation and recovery. In the short term, these models can be used to design experiments and interpret study findings. Over the long term, a set of validated models could be used to extrapolate limited in vitro and in vivo testing data to a broader range of untested chemicals, species, and exposure scenarios. With appropriate modification, Tier 2 assays developed in support of the U.S. Environmental Protection Agency's Endocrine Disruptor Screening Program could be used to assess the potential for accommodation and recovery and inform the development of mechanistically based models.

The effects of simazine, a chlorotriazine herbicide, on pubertal development in the female Wistar rat

Chlorotriazine herbicides, such as atrazine and its metabolites, have been shown to target the neuroendocrine regulation of male and female reproductive development. However, no studies have evaluated the effects of the chlorotriazine simazine on pubertal development in the female rat. Here we report the effects of a 21- and 41-day exposure to simazine on pubertal development and estrous cyclicity in the female rat using the U.S. Environmental Protection Agency's Endocrine Disruptor Screening Program, Pubertal Development and Thyroid Function in Intact/Juvenile Peripubertal Female Rats (Tier 1) protocol. In the first study, Wistar rats were exposed orally to 0, 12.5, 25, 50, or 100 mg/kg of simazine from postnatal day 22 to 42. In the second study, rats were exposed from PND 22 until the first day of estrus after PND 62 to 0, 12.5, 25, 50, 100 or 200 mg/kg of simazine. In the 21-day exposure, vaginal opening (VO) was delayed, the number of normal cycles was significantly decreased, and the day of first estrus was delayed compared to controls. In the 41-day exposure, VO and the day of first estrus was delayed, but the number of normal estrous cycles was not different than controls. In addition, both studies showed a significant decrease in serum prolactin (PRL) following simazine exposure. This data clearly demonstrates that simazine delays the onset of puberty in the female rat and decreases serum PRL similar to other chlorotriazines. The extended dosing period after VO provides a sufficient time period to monitor the effects of a toxicant on estrous cyclicity, an important measure for reproductive competence.

Screening of Potentially Hormonally Active Chemicals Using Bioluminescent Yeast Bioreporters

Saccharomyces cerevisiae bioluminescent bioreporter assays were developed previously to assess a chemical's estrogenic or androgenic disrupting potential. S. cerevisiae BLYES, S. cerevisiae BLYAS, S. cerevisiae BLYR, were used to assess their reproducibility and utility in screening 68, 69, and 71 chemicals for estrogenic, androgenic, and toxic effects, respectively. EC(50) values were 6.3 +/- 2.4 x 10(-10)M (n = 18) and 1.1 +/- 0.5 x 10(-8)M (n = 13) for BLYES and BLYAS, using 17beta-estradiol and 5alpha-dihydrotestosterone over concentration ranges of 2.5 x 10(-12) through 1.0 x 10(-6)M, respectively. Based on analysis of replicate standard curves and comparison to background controls, a set of quantitative rules have been formulated to interpret data and determine if a chemical is potentially hormonally active, toxic, both, or neither. The results demonstrated that these assays are applicable for Tier I chemical screening in Environmental Protection Agency's Endocrine Disruptor Screening and Testing Program as well as for monitoring endocrine-disrupting activity of unknown chemicals in water.

An Overview of Testing Procedures and Approaches for Identifying Endocrine Disrupting Substances

Abstract Concern over the potential effects of exposure to endocrine disrupting substances (EDS) has resulted in recommendations for the development of specific endocrine and reproductive tests for assessment and regulation of industrial chemicals and effluents. This document consolidates and summarizes the current approaches taken by international agencies and scientific organizations for testing and screening EDS in mammals and wildlife. The material has been gathered from the Organization for Economic Cooperation and Development meeting reports, U.S. Environmental Protection Agency's Endocrine Disruptor Screening and Testing Advisory Committee and Endocrine Disruptor Screening Program reports, and summaries of various meetings prepared by Canadian and U.S. representatives. There are commonalties between programs of individual countries and the international scientific groups in which they participate. In general, these international scientific organizations have envisioned tiered groups of tests. The first tier is composed of less complex tests and short-term assays (acute exposures) that are very responsive to EDS (and have a low 'false-negative' rate). Higher tiers contain longer tests encompassing partial and full lifecycles of organisms with assessment of functional reproductive and developmental endpoints. Compounds are less expensively screened in the first tier, and move on to more complex and expensive higher-tier tests only if necessary. We document the proposed EDS tests in mammals and wildlife (birds, fish, amphibians and invertebrates) and overview the European Union's approach to EDS research, monitoring and risk assessment. We conclude with a summary of the main recommendations from Canada's interagency workshop to develop priorities and proposed actions for EDS.