• Lalone, Carlie A.
• Choksi, Neepa
• Ceger, Patricia
• Thomas, Amy
• Wolf, Kaitlyn A.
• Fallacara, Dawn
• Vitense, Kelsey
• Adetona, Anna
• Daniel, Amber B.
• Ewans, Andrew
• Watson, Atlee
• Karmaus, Agnes L.
• Lynn, Scott G.
• Hamm, Jonathan
• Vliet, Sara M. F.

Abstract

<jats:title>Abstract</jats:title><jats:p>The United States Environmental Protection Agency’s Endocrine Disruptor Screening Program (EDSP) is tasked with assessing chemicals for their potential to perturb endocrine pathways, including those controlled by androgen receptor (AR). To address challenges associated with traditional testing strategies, EDSP is considering in vitro high-throughput screening assays to screen and prioritize chemicals more efficiently. The ability of these assays to accurately reflect chemical interactions in non-mammalian species remains uncertain. Therefore, a goal of the EDSP is to evaluate how broadly results can be extrapolated across taxa. To assess the cross-species conservation of AR-modulated pathways, computational analyses and systematic literature review approaches were used to conduct a comprehensive analysis of existing in silico, in vitro, and in vivo data. First, molecular target conservation was assessed across 585 diverse species based on the structural similarity of ARs. These results indicate that ARs are conserved across vertebrates and are predicted to share similarly susceptibility to chemicals that interact with the human AR. Systematic analysis of over 5,000 published manuscripts was used to compile in vitro and in vivo cross-species toxicity data. Assessment of in vitro data indicates conservation of responses occurs across vertebrate ARs, with potential differences in sensitivity. Similarly, in vivo data indicate strong conservation of the AR signaling pathways across vertebrate species, although sensitivity may vary. Overall, this study demonstrates a framework for utilizing bioinformatics and existing data to build weight of evidence for cross-species extrapolation and provides a technical basis for extrapolating hAR-based data to prioritize hazard in non-mammalian vertebrate species.</jats:p>

Topics

• impedance spectroscopy
• toxicity
• susceptibility