2019
DOI: 10.1016/j.scitotenv.2019.05.457
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Prioritizing chemicals of ecological concern in Great Lakes tributaries using high-throughput screening data and adverse outcome pathways

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Cited by 83 publications
(118 citation statements)
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References 71 publications
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“…4; Table S7) and median ( Figure S3; Table S8) exposure conditions support this conclusion. The in vitro ToxCast EAR approach informs the potential for sub-lethal effects at an observed concentration (Becker et al, 2015;Blackwell et al, 2017), provides probable effects screening consistent with traditional in vivo water-quality benchmark-based toxicity quotient (TQ) approaches (EAR = 0.001 comparable to commonly employed TQ = 0.1 effects threshold (Corsi et al, 2019)), and supports cumulative effects ( P EAR ) estimation (CA-model (Ankley et al, 2010;Conolly et al, 2017;Judson et al, 2014;Villeneuve et al, 2014)). Although sometimes restricted only to chemicals with a common mode of action, CApredicted toxicities typically agree with observed toxicities within a factor of 2-4, regardless of recognized mode of action (Belden et al, 2007;Boobis et al, 2011;Cedergreen et al, 2008;Ermler et al, 2011;Faust et al, 2003;Rodney et al, 2013;Thrupp et al, 2018;Warne, 2003;Zhang et al, 2011).…”
Section: Potential For Surface-water-contaminant Biological Effects Imentioning
confidence: 76%
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“…4; Table S7) and median ( Figure S3; Table S8) exposure conditions support this conclusion. The in vitro ToxCast EAR approach informs the potential for sub-lethal effects at an observed concentration (Becker et al, 2015;Blackwell et al, 2017), provides probable effects screening consistent with traditional in vivo water-quality benchmark-based toxicity quotient (TQ) approaches (EAR = 0.001 comparable to commonly employed TQ = 0.1 effects threshold (Corsi et al, 2019)), and supports cumulative effects ( P EAR ) estimation (CA-model (Ankley et al, 2010;Conolly et al, 2017;Judson et al, 2014;Villeneuve et al, 2014)). Although sometimes restricted only to chemicals with a common mode of action, CApredicted toxicities typically agree with observed toxicities within a factor of 2-4, regardless of recognized mode of action (Belden et al, 2007;Boobis et al, 2011;Cedergreen et al, 2008;Ermler et al, 2011;Faust et al, 2003;Rodney et al, 2013;Thrupp et al, 2018;Warne, 2003;Zhang et al, 2011).…”
Section: Potential For Surface-water-contaminant Biological Effects Imentioning
confidence: 76%
“…However, 80 pesticides and pharmaceuticals were detected across all sites, with detection frequencies for individual compounds ranging up to 100% (18) of sites for nicotine (median: 3 sites; 17%). Frequent detections of pesticide and pharmaceutical contaminant mixtures and common exceedance of the 0.001 EAR effects-screening threshold (Corsi et al, 2019) in NPS SER protected-stream systems raise concerns for potential adverse effects to aquatic and associated terrestrial foodwebs and illustrate the opportunity for improved direct and indirect management actions. Visitors and proximal property owners are often heavily vested in preserving the health and beauty of NPS SER protected streams, potentially increasing the efficacy of public outreach efforts, particularly those posted at stream access points.…”
Section: Discussionmentioning
confidence: 99%
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“…One challenge associated with this chemical–gene network modeling approach is that it is based on the presence or absence of chemicals rather than concentrations in samples, so the ability to quantitatively consider exposure as part of the complex mixture analysis is limited (Schroeder et al 2016, 2017; Blackwell et al 2017). To help address this shortcoming, we recently utilized single‐chemical dose–response data generated from a large‐scale high‐throughput screening (HTS) program supported through the US Environmental Protection Agency (USEPA) and other Federal partners (ToxCast; US Environmental Protection Agency 2020b), to generate exposure–activity ratios (EARs) based on concentrations of chemicals measured in an environmental sample (Blackwell et al 2017, 2019; Corsi et al 2019). The ToxCast program has generated in vitro dose–response data capturing hundreds of biological pathways and processes for >9000 chemicals, many of which have limited or no in vivo toxicity information.…”
Section: Introductionmentioning
confidence: 99%