Literature DB >> 31880834

Validation of Bioavailability-Based Toxicity Models for Metals.

Emily R Garman1, Joseph S Meyer2,3, Christine M Bergeron4, Tamzin A Blewett5, William H Clements6, Michael C Elias4, Kevin J Farley7, Francesca Gissi8, Adam C Ryan9.   

Abstract

Regulatory jurisdictions worldwide are increasingly incorporating bioavailability-based toxicity models into development of protective values (PVALs) for freshwater and saltwater aquatic life (e.g., water quality criteria, standards, and/or guidelines) for metals. Use of such models for regulatory purposes should be contingent on their ability to meet performance criteria as specified through a model-validation process. Model validation generally involves an assessment of a model's appropriateness, relevance, and accuracy. We review existing guidance for validation of bioavailability-based toxicity models, recommend questions that should be addressed in model-validation studies, discuss model study type and design considerations, present several new ways to evaluate model performance in validation studies, and suggest a framework for use of model validation in PVAL development. We conclude that model validation should be rigorous but flexible enough to fit the user's purpose. Although a model can never be fully validated to a level of zero uncertainty, it can be sufficiently validated to fit a specific purpose. Therefore, support (or lack of support) for a model should be presented in such a way that users can choose their own level of acceptability. We recommend that models be validated using experimental designs and endpoints consistent with the data sets that were used to parameterize and calibrate the model and validated across a broad range of geographically and ecologically relevant water types. Environ Toxicol Chem 2019;39:101-117.
© 2019 SETAC. © 2019 SETAC.

Entities:  

Keywords:  Biotic ligand model; Metal bioavailability; Metal toxicity; Model performance; Validation; Water chemistry

Mesh:

Substances:

Year:  2020        PMID: 31880834      PMCID: PMC8218924          DOI: 10.1002/etc.4563

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


  42 in total

1.  Cross-species extrapolation of chronic nickel Biotic Ligand Models.

Authors:  Christian E Schlekat; Eric Van Genderen; Karel A C De Schamphelaere; Paula M C Antunes; Emily C Rogevich; William A Stubblefield
Journal:  Sci Total Environ       Date:  2010-11-15       Impact factor: 7.963

2.  Environmental risk assessment of zinc in European freshwaters: a critical appraisal.

Authors:  P A Van Sprang; F A M Verdonck; F Van Assche; L Regoli; K A C De Schamphelaere
Journal:  Sci Total Environ       Date:  2009-07-24       Impact factor: 7.963

3.  Relevance of risk predictions derived from a chronic species sensitivity distribution with cadmium to aquatic populations and ecosystems.

Authors:  Christopher A Mebane
Journal:  Risk Anal       Date:  2009-07-31       Impact factor: 4.000

4.  A systematic approach for evaluating the quality of experimental toxicological and ecotoxicological data.

Authors:  H J Klimisch; M Andreae; U Tillmann
Journal:  Regul Toxicol Pharmacol       Date:  1997-02       Impact factor: 3.271

5.  Is the Factor-of-2 Rule Broadly Applicable for Evaluating the Prediction Accuracy of Metal-Toxicity Models?

Authors:  Joseph S Meyer; Elizabeth M Traudt; James F Ranville
Journal:  Bull Environ Contam Toxicol       Date:  2017-12-22       Impact factor: 2.151

6.  A bioavailability model predicting the toxicity of nickel to rainbow trout (Oncorhynchus mykiss) and fathead minnow (Pimephales promelas) in synthetic and natural waters.

Authors:  Nele M E Deleebeeck; Karel A C De Schamphelaere; Colin R Janssen
Journal:  Ecotoxicol Environ Saf       Date:  2006-12-14       Impact factor: 6.291

7.  Development of biotic ligand models for chronic manganese toxicity to fish, invertebrates, and algae.

Authors:  Adam Peters; Stephen Lofts; Graham Merrington; Bruce Brown; William Stubblefield; Keven Harlow
Journal:  Environ Toxicol Chem       Date:  2011-08-31       Impact factor: 3.742

8.  Expanding metal mixture toxicity models to natural stream and lake invertebrate communities.

Authors:  Laurie S Balistrieri; Christopher A Mebane; Travis S Schmidt; Wendel Bill Keller
Journal:  Environ Toxicol Chem       Date:  2015-03-11       Impact factor: 3.742

9.  A single bioavailability model can accurately predict Ni toxicity to green microalgae in soft and hard surface waters.

Authors:  Nele M E Deleebeeck; Frederik De Laender; Victor A Chepurnov; Wim Vyverman; Colin R Janssen; Karel A C De Schamphelaere
Journal:  Water Res       Date:  2009-01-31       Impact factor: 11.236

10.  Best Practices for Derivation and Application of Thresholds for Metals Using Bioavailability-Based Approaches.

Authors:  Eric Van Genderen; Jenny L Stauber; Charles Delos; Diana Eignor; Robert W Gensemer; James McGeer; Graham Merrington; Paul Whitehouse
Journal:  Environ Toxicol Chem       Date:  2020-01       Impact factor: 4.218

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  8 in total

1.  Development of Empirical Bioavailability Models for Metals.

Authors:  Kevin V Brix; David K DeForest; Lucinda Tear; Willie Peijnenburg; Adam Peters; Ellie T Middleton; Russ Erickson
Journal:  Environ Toxicol Chem       Date:  2020-01       Impact factor: 4.218

2.  Best Practices for Derivation and Application of Thresholds for Metals Using Bioavailability-Based Approaches.

Authors:  Eric Van Genderen; Jenny L Stauber; Charles Delos; Diana Eignor; Robert W Gensemer; James McGeer; Graham Merrington; Paul Whitehouse
Journal:  Environ Toxicol Chem       Date:  2020-01       Impact factor: 4.218

3.  State of the Science on Metal Bioavailability Modeling: Introduction to the Outcome of a Society of Environmental Toxicology and Chemistry Technical Workshop.

Authors:  Christian Schlekat; William Stubblefield; Kathryn Gallagher
Journal:  Environ Toxicol Chem       Date:  2020-01       Impact factor: 4.218

Review 4.  Development of Fluoride Protective Values for Aquatic Life Using Empirical Bioavailability Models.

Authors:  Samuel P Parker; Austin E Wilkes; Gary R Long; Nigel W E Goulding; Rajat S Ghosh
Journal:  Environ Toxicol Chem       Date:  2022-01-18       Impact factor: 4.218

5.  Comparative Performance of Multiple Linear Regression and Biotic Ligand Models for Estimating the Bioavailability of Copper in Freshwater.

Authors:  Kevin V Brix; Lucinda Tear; Robert C Santore; Kelly Croteau; David K DeForest
Journal:  Environ Toxicol Chem       Date:  2021-05-08       Impact factor: 3.742

6.  Mean Species Abundance as a Measure of Ecotoxicological Risk.

Authors:  Selwyn Hoeks; Mark A J Huijbregts; Mélanie Douziech; A Jan Hendriks; Rik Oldenkamp
Journal:  Environ Toxicol Chem       Date:  2020-09-16       Impact factor: 3.742

7.  Application of Bioavailability Models to Derive Chronic Guideline Values for Nickel in Freshwaters of Australia and New Zealand.

Authors:  Jenny Stauber; Lisa Golding; Adam Peters; Graham Merrington; Merrin Adams; Monique Binet; Graeme Batley; Francesca Gissi; Kitty McKnight; Emily Garman; Ellie Middleton; Jennifer Gadd; Chris Schlekat
Journal:  Environ Toxicol Chem       Date:  2020-11-17       Impact factor: 3.742

8.  Development of a bioavailability-based risk assessment framework for nickel in Southeast Asia and Melanesia.

Authors:  Emily R Garman; Christian E Schlekat; Ellie Middleton; Graham Merrington; Adam Peters; Ross Smith; Jenny L Stauber; Kenneth My Leung; Francesca Gissi; Monique T Binet; Merrin S Adams; Megan L Gillmore; Lisa A Golding; Dianne Jolley; Zhen Wang; Amanda Reichelt-Brushett
Journal:  Integr Environ Assess Manag       Date:  2021-02-08       Impact factor: 2.992

  8 in total

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