Your browser doesn't support javascript.
loading
Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO.
Ekman, Drew R; Keteles, Kristen; Beihoffer, Jon; Cavallin, Jenna E; Dahlin, Kenneth; Davis, John M; Jastrow, Aaron; Lazorchak, James M; Mills, Marc A; Murphy, Mark; Nguyen, David; Vajda, Alan M; Villeneuve, Daniel L; Winkelman, Dana L; Collette, Timothy W.
Afiliação
  • Ekman DR; U.S. EPA, National Exposure Research Laboratory, 960 College Station Rd., Athens, GA 30605, USA. Electronic address: ekman.drew@epa.gov.
  • Keteles K; U.S. EPA, National Enforcement Investigations Center, Denver Federal Center Building 25, E-3, Denver, CO 80225, USA. Electronic address: keteles.kristen@epa.gov.
  • Beihoffer J; U.S. EPA, National Enforcement Investigations Center, Denver Federal Center Building 25, E-3, Denver, CO 80225, USA. Electronic address: Beihoffer.jon@epa.gov.
  • Cavallin JE; Badger Technical Services, U.S. EPA, Duluth, MN 55804, USA. Electronic address: cavallin.jenna@epa.gov.
  • Dahlin K; U.S. EPA, Region 8, 1595 Wynkoop St., Denver, CO 80202, USA. Electronic address: dahlin.kenneth@epa.gov.
  • Davis JM; U.S. EPA, National Exposure Research Laboratory, 960 College Station Rd., Athens, GA 30605, USA. Electronic address: davis.john@epa.gov.
  • Jastrow A; U.S. EPA, Region 5, Ralph Metcalfe Federal Building, 77 West Jackson Blvd., Chicago, IL 60605, USA. Electronic address: jastrow.aaron@epa.gov.
  • Lazorchak JM; U.S. EPA, National Exposure Research Laboratory, 26 Martin Luther King Blvd., Cincinnati, OH 45268, USA. Electronic address: lazorchak.jim@epa.gov.
  • Mills MA; U.S. EPA, National Risk Management Research Laboratory, 26 Martin Luther King Blvd., Cincinnati, OH 45268, USA. Electronic address: mills.marc@epa.gov.
  • Murphy M; U.S. EPA, Region 8, 1595 Wynkoop St., Denver, CO 80202, USA. Electronic address: murphy.mark@epa.gov.
  • Nguyen D; U.S. EPA, Region 8, 1595 Wynkoop St., Denver, CO 80202, USA. Electronic address: nguyen.david@epa.gov.
  • Vajda AM; University of Colorado Denver, Department of Integrative Biology, Campus Box 171, P.O. Box 173364, Denver, CO 80217, USA. Electronic address: alan.vajda@ucdenver.edu.
  • Villeneuve DL; U.S. EPA, National Health and Environmental Effects Research Laboratory, Duluth, MN 55804, USA. Electronic address: villeneuve.dan@epa.gov.
  • Winkelman DL; U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit, Department of Fish, Wildlife and Conservation Biology, 201 J.V.K. Wagar Building, 1484 Campus Delivery, Colorado State University, Fort Collins, CO 80523, USA. Electronic address: dana.winkelman@colostate.edu.
  • Collette TW; U.S. EPA, National Exposure Research Laboratory, 960 College Station Rd., Athens, GA 30605, USA. Electronic address: collette.tim@epa.gov.
Environ Pollut ; 239: 706-713, 2018 Aug.
Article em En | MEDLINE | ID: mdl-29715690
ABSTRACT
Rivers in the arid Western United States face increasing influences from anthropogenic contaminants due to population growth, urbanization, and drought. To better understand and more effectively track the impacts of these contaminants, biologically-based monitoring tools are increasingly being used to complement routine chemical monitoring. This study was initiated to assess the ability of both targeted and untargeted biologically-based monitoring tools to discriminate impacts of two adjacent wastewater treatment plants (WWTPs) on Colorado's South Platte River. A cell-based estrogen assay (in vitro, targeted) determined that water samples collected downstream of the larger of the two WWTPs displayed considerable estrogenic activity in its two separate effluent streams. Hepatic vitellogenin mRNA expression (in vivo, targeted) and NMR-based metabolomic analyses (in vivo, untargeted) from caged male fathead minnows also suggested estrogenic activity downstream of the larger WWTP, but detected significant differences in responses from its two effluent streams. The metabolomic results suggested that these differences were associated with oxidative stress levels. Finally, partial least squares regression was used to explore linkages between the metabolomics responses and the chemical contaminants that were detected at the sites. This analysis, along with univariate statistical approaches, identified significant covariance between the biological endpoints and estrone concentrations, suggesting the importance of this contaminant and recommending increased focus on its presence in the environment. These results underscore the benefits of a combined targeted and untargeted biologically-based monitoring strategy when used alongside contaminant monitoring to more effectively assess ecological impacts of exposures to complex mixtures in surface waters.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Cyprinidae / Monitoramento Ambiental / Rios / Estrogênios / Águas Residuárias Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Cyprinidae / Monitoramento Ambiental / Rios / Estrogênios / Águas Residuárias Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Ano de publicação: 2018 Tipo de documento: Article