Literature DB >> 33270248

Pathway-Based Approaches for Assessing Biological Hazards of Complex Mixtures of Contaminants: A Case Study in the Maumee River.

G T Ankley1, J P Berninger1, B R Blackwell1, J E Cavallin1, T W Collette2, D R Ekman2, K A Fay1, D J Feifarek1, K M Jensen1, M D Kahl1, J D Mosley2, S T Poole1, E C Randolph1, D Rearick3, A L Schroeder4, J Swintek5, D L Villeneuve1.   

Abstract

Assessment of ecological risks of chemicals in the field usually involves complex mixtures of known and unknown compounds. We describe the use of pathway-based chemical and biological approaches to assess the risk of chemical mixtures in the Maumee River (OH, USA), which receives a variety of agricultural and urban inputs. Fathead minnows (Pimephales promelas) were deployed in cages for 4 d at a gradient of sites along the river and adjoining tributaries in 2012 and during 2 periods (April and June) in 2016, in conjunction with an automated system to collect composite water samples. More than 100 industrial chemicals, pharmaceuticals, and pesticides were detected in water at some of the study sites, with the greatest number typically found near domestic wastewater treatment plants. In 2016, there was an increase in concentrations of several herbicides from April to June at upstream agricultural sites. A comparison of chemical concentrations in site water with single chemical data from vitro high-throughput screening (HTS) assays suggested the potential for perturbation of multiple biological pathways, including several associated with induction or inhibition of different cytochrome P450 (CYP) isozymes. This was consistent with direct effects of water extracts in an HTS assay and induction of hepatic CYPs in caged fish. Targeted in vitro assays and measurements in the caged fish suggested minimal effects on endocrine function (e.g., estrogenicity). A nontargeted mass spectroscopy-based analysis suggested that hepatic endogenous metabolite profiles in caged fish covaried strongly with the occurrence of pesticides and pesticide degradates. These studies demonstrate the application of an integrated suite of measurements to help understand the effects of complex chemical mixtures in the field. Environ Toxicol Chem 2021;40:1098-1122.
© 2020 SETAC. This article has been contributed to by US Government employees and their work is in the public domain in the USA. © 2020 SETAC. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Entities:  

Keywords:  Adverse outcome pathways; Field; Mixture; Toxicity

Mesh:

Substances:

Year:  2021        PMID: 33270248      PMCID: PMC9554926          DOI: 10.1002/etc.4949

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   4.218


  66 in total

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Journal:  Environ Sci Technol       Date:  2019-07-22       Impact factor: 9.028

3.  Land Use Contributions to Adverse Biological Effects in a Complex Agricultural and Urban Watershed: A Case Study of the Maumee River.

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Journal:  Environ Toxicol Chem       Date:  2019-04-17       Impact factor: 3.742

4.  Fathead minnow (Pimephales promelas) vitellogenin: purification, characterization and quantitative immunoassay for the detection of estrogenic compounds.

Authors:  L G Parks; A O Cheek; N D Denslow; S A Heppell; J A McLachlan; G A LeBlanc; C V Sullivan
Journal:  Comp Biochem Physiol C Pharmacol Toxicol Endocrinol       Date:  1999-06

5.  Potential Toxicity of Complex Mixtures in Surface Waters from a Nationwide Survey of United States Streams: Identifying in Vitro Bioactivities and Causative Chemicals.

Authors:  Brett R Blackwell; Gerald T Ankley; Paul M Bradley; Keith A Houck; Sergei S Makarov; Alexander V Medvedev; Joe Swintek; Daniel L Villeneuve
Journal:  Environ Sci Technol       Date:  2018-12-21       Impact factor: 9.028

6.  Superheat: An R package for creating beautiful and extendable heatmaps for visualizing complex data.

Authors:  Rebecca L Barter; Bin Yu
Journal:  J Comput Graph Stat       Date:  2018-08-20       Impact factor: 2.302

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

Authors:  Gerald T Ankley; Kathleen M Jensen
Journal:  Environ Toxicol Chem       Date:  2014-09-29       Impact factor: 3.742

Review 8.  Steroid hormone biotransformation and xenobiotic induction of hepatic steroid metabolizing enzymes.

Authors:  Li You
Journal:  Chem Biol Interact       Date:  2004-04-15       Impact factor: 5.192

9.  Primary Sources of Polycyclic Aromatic Hydrocarbons to Streambed Sediment in Great Lakes Tributaries Using Multiple Lines of Evidence.

Authors:  Austin K Baldwin; Steven R Corsi; Samantha K Oliver; Peter L Lenaker; Michelle A Nott; Marc A Mills; Gary A Norris; Pentti Paatero
Journal:  Environ Toxicol Chem       Date:  2020-06-11       Impact factor: 3.742

10.  A Retrospective Analysis of Agricultural Herbicides in Surface Water Reveals Risk Plausibility for Declines in Submerged Aquatic Vegetation.

Authors:  Kelly W Powell; W Gregory Cope; Catherine E LePrevost; Tom Augspurger; Annette M McCarthy; Damian Shea
Journal:  Toxics       Date:  2017-09-06
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2.  Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques.

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3.  Identifying Chemicals and Mixtures of Potential Biological Concern Detected in Passive Samplers from Great Lakes Tributaries Using High-Throughput Data and Biological Pathways.

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