Review of Data Sources, QSARs and Integrated Testing Strategies for Aquatic Toxicity

This review collects information on sources of aquatic toxicity data and computational tools for estimation of chemical toxicity aquatic to aquatic organisms, such as expert systems and quantitative structure-activity relationship (QSAR) models. The review also captures current thinking of what constitutes an integrated testing strategy (ITS) for this endpoint. The emphasis of the review is on the usefulness of the models and for the regulatory assessment of chemicals, particularly for the purposes of the new European legislation for the Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH), which entered into force on 1 June 2007. Effects on organisms from three trophic levels (fish, Daphnia and algae) were subject of this review. In addition to traditional data sources such as databases, papers publishing experimental data are also identified. Models for narcoses, general (global) models as well as models for specific chemical classes and mechanisms of action are summarised. Where possible, models were included in a form allowing reproduction without consultation with the original paper. This review builds on work carried out in the framework of the REACH Implementation Projects, and was prepared as a contribution to the EU funded Integrated Project, OSIRIS. LIST OF ABBREVIATIONS ASTER ASsessment Tools for the Evaluation of Risk ASTM American Society for Testing and Materials EC European Commission EC Effective Concentration ECB European Chemicals Bureau ECETOC European Centre for Ecotoxicology and Toxicology of Chemicals EINECS European INventory of Existing Commercial chemical Substances ELUMO Energy of the Lowest Unoccupied Molecular Orbital EPA Environmental Protection Agency ESIS European chemical Substances Information System (ECB) EU European Union FHM Fathead minnow ITS Integrated (Intelligent) Testing Strategy HPV High Production Volume JRC Joint Research Centre Kow Octanol-water partition coefficient LC50 Lethal concentration to 50% of the test animals LOEC Lowest observed effect concentration MATC Maximum Acceptable Toxicant Concentration n Number of chemicals NOEC No Observed Effect Concentration OECD Organisation for Economic Cooperation and Development PNEC Predicted No-Effect Concentration QAAR Quantitative Activity-Activity Relationship QSAAR Quantitative Structure-Activity-Activity Relationship QMRF (Q)SAR Model Reporting Format (Q)SAR (Quantitative) Structure Activity Relationship REACH Registration, Evaluation, Authorisation & Restriction of Chemicals r Coefficient of determination RIP REACH Implementation Project TG Test Guideline s Standard error of estimate SMILES Simplified Molecular Input Line Entry System

[1]  J. Hermens,et al.  Interspecies sensitivity in the aquatic toxicity of aromatic amines. , 2002, Environmental toxicology and pharmacology.

[2]  F. Lemke,et al.  QSAR models for Daphnia magna toxicity prediction of benzoxazinone allelochemicals and their transformation products. , 2006, Journal of agricultural and food chemistry.

[3]  J. Hermens,et al.  Classifying environmental pollutants: Part 3. External validation of the classification system. , 2000, Chemosphere.

[4]  J. Dearden,et al.  Assessment and modeling of the toxicity of organic chemicals to Chlorella vulgaris: development of a novel database. , 2004, Chemical research in toxicology.

[5]  J. Dearden,et al.  QSAR studies of comparative toxicity in aquatic organisms. , 1991, The Science of the total environment.

[6]  Tom Aldenberg,et al.  Application of QSARs, extrapolation and equilibrium partitioning in aquatic effects assessment. I. Narcotic industrial pollutants , 1992 .

[7]  K. Knauer,et al.  Comparison of in vitro and in vivo acute fish toxicity in relation to toxicant mode of action. , 2007, Chemosphere.

[8]  D. Roberts,et al.  Mechanisms of action for general and polar narcosis: A difference in dimension , 2003 .

[9]  Quantitative structure-activity relationships of nitroaromatics toxicity to the algae (Scenedesmus obliguus). , 2005, Chemosphere.

[10]  J. Huuskonen QSAR modeling with the electrotopological state indices: predicting the toxicity of organic chemicals. , 2003, Chemosphere.

[11]  Joop L. M. Hermens,et al.  Quantitative structure-activity relationships and mixture toxicity studies of chloro- and alkylanilines at an acute lethal toxicity level to the guppy (Poecilia reticulata). , 1984, Ecotoxicology and environmental safety.

[12]  Toxicity of substituted anilines to Pseudokirchneriella subcapitata and quantitative structure‐activity relationship analysis for polar narcotics , 2007, Environmental toxicology and chemistry.

[13]  Gerald T Ankley,et al.  Toxicogenomics in regulatory ecotoxicology. , 2006, Environmental science & technology.

[14]  Emilio Benfenati,et al.  QSAR Model for Predicting Pesticide Aquatic Toxicity , 2005, J. Chem. Inf. Model..

[15]  Antonio Finizio,et al.  Quantitative inter-specific chemical activity relationships of pesticides in the aquatic environment. , 2004, Aquatic toxicology.

[16]  Ronald J. Senna,et al.  A framework for prioritizing fragrance materials for aquatic risk assessment , 2002, Environmental toxicology and chemistry.

[17]  M Pavan,et al.  Validation of a QSAR model for acute toxicity , 2006, SAR and QSAR in environmental research.

[18]  Mitchell S. Wilbanks,et al.  EUROPEAN CENTRE FOR ECOTOXICOLOGY AND TOXICOLOGY OF CHEMICALS , 2005 .

[19]  Mark T. D. Cronin,et al.  Evaluation of a novel short-term algal toxicity assay by the development of QSARs and inter-species relationships for narcotic chemicals , 2003 .

[20]  S. Rault,et al.  Prediction of the Daphnia acute toxicity from heterogeneous data. , 2001, Chemosphere.

[21]  Giuseppina C. Gini,et al.  Description of the Electronic Structure of Organic Chemicals Using Semiempirical and Ab Initio Methods for Development of Toxicological QSARs , 2005, J. Chem. Inf. Model..

[22]  M. Pavan,et al.  The role of the European Chemicals Bureau in promoting the regulatory use of (Q)SAR methods , 2007, SAR and QSAR in environmental research.

[23]  Roger L Breton,et al.  A comparison of model performance for six quantitative structure‐activity relationship packages that predict acute toxicity to fish , 2003, Environmental toxicology and chemistry.

[24]  Toxicity of aryl‐ and benzylhalides to Daphnia magna and classification of their mode of action based on quantitative structure–activity relationship , 1999 .

[25]  Qsar investigation of a large data set for fish, algae and Daphnia toxicity , 2004, SAR and QSAR in environmental research.

[26]  J. Hermens,et al.  Classifying environmental pollutants , 1992 .

[27]  Ovanes Mekenyan,et al.  Interspecies quantitative structure‐activity relationship model for aldehydes: Aquatic toxicity , 2004, Environmental toxicology and chemistry.

[28]  Zhi Huang,et al.  Acute toxicity and quantitative structure-activity relationships of alpha-branched phenylsulfonyl acetates to Daphnia magna. , 2003, Chemosphere.

[29]  Ralph Kühne,et al.  Acute to chronic ratios in aquatic toxicity—variation across trophic levels and relationship with chemical structure , 2006, Environmental toxicology and chemistry.

[30]  T W Schultz,et al.  Comparison of Tetrahymena and Pimephales toxicity based on mechanism of action. , 1998, SAR and QSAR in environmental research.

[31]  Worth Andrew,et al.  Comparative Review of QSARs for Acute Toxicity Part I: QSARs for Toxicity to Aquatic Organisms Part II: QSARs for Toxicity to Terrestrial Organisms , 2005 .

[32]  Fuliu Xu,et al.  A fragment constant QSAR model for evaluating the EC50 values of organic chemicals to Daphnia magna. , 2002, Environmental pollution.

[33]  E. Benfenati,et al.  Comparative Quantitative Structure–Activity–Activity Relationships for Toxicity to Tetrahymena pyriformis and Pimephales promelas , 2007, Alternatives to laboratory animals : ATLA.

[34]  M T D Cronin,et al.  A conceptual framework for predicting the toxicity of reactive chemicals: modeling soft electrophilicity , 2006, SAR and QSAR in environmental research.

[35]  C. Russom,et al.  Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow (Pimephales promelas) , 1997 .

[36]  Rolf Altenburger,et al.  Quantitative structure-activity analysis of the algae toxicity of nitroaromatic compounds. , 2000, Chemical research in toxicology.

[37]  R. Brain,et al.  Probabilistic hazard assessment of environmentally occurring pharmaceuticals toxicity to fish, daphnids and algae by ECOSAR screening. , 2003, Toxicology letters.

[38]  Worth Andrew,et al.  A Compendium of Case Studies that Helped to Shape the REACH Guidance on Chemical Categories and Read Across , 2007 .

[39]  Gilman D. Veith,et al.  A QSAR Approach for Estimating the Aquatic Toxicity of Soft Electrophiles [QSAR for Soft Electrophiles] , 1993 .

[40]  Dick de Zwart,et al.  Novel view on predicting acute toxicity: decomposing toxicity data in species vulnerability and chemical potency. , 2007, Ecotoxicology and environmental safety.

[41]  P. Dorn,et al.  Acute toxicity and structure‐activity relationships of nine alcohol ethoxylate surfactants to fathead minnow and Daphnia magna , 1997 .

[42]  M. Richter,et al.  Comparative ecotoxicological hazard assessment of beta-blockers and their human metabolites using a mode-of-action-based test battery and a QSAR approach. , 2006, Environmental science & technology.

[43]  S. Bradbury,et al.  Meeting the scientific needs of ecological risk assessment in a regulatory context. , 2004, Environmental science & technology.

[44]  Judith C. Madden,et al.  Consensus QSAR Models: Do the Benefits Outweigh the Complexity? , 2007, J. Chem. Inf. Model..

[45]  Ovanes Mekenyan,et al.  Global modeling of narcotic chemicals: ciliate and fish toxicity , 2003 .

[46]  Robert Combes,et al.  Integrated Decision-tree Testing Strategies for Environmental Toxicity with Respect to the Requirements of the EU REACH Legislation , 2006, Alternatives to laboratory animals : ATLA.

[47]  S. Dyer,et al.  Interspecies correlation estimates predict protective environmental concentrations. , 2006, Environmental science & technology.

[48]  A. Svenson,et al.  The importance of outlier detection and training set selection for reliable environmental QSAR predictions. , 2006, Chemosphere.

[49]  Manuela Pavan,et al.  Comparative Assessment of QSAR Models for Aquatic Toxicity , 2005 .

[50]  T. Parkerton,et al.  Application of quantitative structure--activity relationships for assessing the aquatic toxicity of phthalate esters. , 2000, Ecotoxicology and environmental safety.

[51]  Joachim Doll,et al.  Organization for Economic Cooperation and Development , 2021, International Organization.

[52]  Rolf Altenburger,et al.  Structural alerts--a new classification model to discriminate excess toxicity from narcotic effect levels of organic compounds in the acute daphnid assay. , 2005, Chemical research in toxicology.

[53]  Worth Andrew,et al.  Preliminary Analysis of an Aquatic Toxicity Dataset and Assessment of QSAR Models for Narcosis , 2005 .

[54]  Hua Yuan,et al.  Local and Global Quantitative Structure-Activity Relationship Modeling and Prediction for the Baseline Toxicity , 2007, J. Chem. Inf. Model..

[55]  Y. H. Zhao,et al.  QSAR study on the toxicity of substituted benzenes to the algae (Scenedesmus obliquus). , 2001, Chemosphere.

[56]  Jon A Arnot,et al.  Screening level risk assessment model for chemical fate and effects in the environment. , 2006, Environmental science & technology.

[57]  Stephen Muggleton,et al.  A Novel Logic-Based Approach for Quantitative Toxicology Prediction , 2007, J. Chem. Inf. Model..

[58]  Hans Sanderson,et al.  Ranking and prioritization of environmental risks of pharmaceuticals in surface waters. , 2004, Regulatory toxicology and pharmacology : RTP.

[59]  J. Vervoort,et al.  Quantum chemistry based quantitative structure‐activity relationships for modeling the (sub)acute toxicity of substituted mononitrobenzenes in aquatic systems , 2006, Environmental toxicology and chemistry.

[60]  B J Blaauboer,et al.  An alternative approach for the safety evaluation of new and existing chemicals, an exercise in integrated testing. , 2005, Regulatory toxicology and pharmacology : RTP.

[61]  Toxicity and quantitative structure-activity relationships of nitriles based on Pseudokirchneriella subcapitata. , 2007, Ecotoxicology and environmental safety.

[62]  J. Dearden,et al.  The aquatic toxicity of anionic surfactants to Daphnia magna--a comparative QSAR study of linear alkylbenzene sulphonates and ester sulphonates. , 2006, Chemosphere.

[63]  D. D. de Roode,et al.  QSARs in ecotoxicological risk assessment. , 2006, Regulatory toxicology and pharmacology : RTP.

[64]  Gilman D. Veith,et al.  Structure–Toxicity Relationships for the Fathead Minnow, Pimephales promelas: Narcotic Industrial Chemicals , 1983 .

[65]  T Wind,et al.  Ecotoxicity quantitative structure-activity relationships for alcohol ethoxylate mixtures based on substance-specific toxicity predictions. , 2006, Ecotoxicology and environmental safety.

[66]  Paola Gramatica,et al.  Statistically Validated QSARs, Based on Theoretical Descriptors, for Modeling Aquatic Toxicity of Organic Chemicals in Pimephales promelas (Fathead Minnow) , 2005, J. Chem. Inf. Model..

[67]  Jui-Ho Lin,et al.  Toxicity of chlorophenols to Pseudokirchneriella subcapitata under air-tight test environment. , 2006, Chemosphere.

[68]  J. Hermens,et al.  Modes of action in ecotoxicology: their role in body burdens, species sensitivity, QSARs, and mixture effects. , 2002, Environmental science & technology.

[69]  E. Benfenati,et al.  QSAR models for Daphnia toxicity of pesticides based on combinations of topological parameters of molecular structures. , 2006, Bioorganic & medicinal chemistry.

[70]  Emilio Benfenati,et al.  Top-priority fragment QSAR approach in predicting pesticide aquatic toxicity. , 2006, Chemical research in toxicology.

[71]  Manuela Pavan,et al.  The Characterisation of (Quantitative) Structure-Activity Relationships: Preliminary Guidance , 2005 .

[72]  J. Heltshe,et al.  Estimation of toxicity to marine species with structure-activity models developed to estimate toxicity to freshwater fish☆ , 1985 .

[73]  Uko Maran,et al.  Open Computing Grid for Molecular Science and Engineering , 2006, J. Chem. Inf. Model..

[74]  Quantitative structure‐activity relationship modeling of acute toxicity of quaternary alkylammonium sulfobetaines to Daphnia magna , 2004, Environmental toxicology and chemistry.

[75]  T Wayne Schultz,et al.  Regression comparisons of Tetrahymena pyriformis and Poecilia reticulata toxicity. , 2002, Chemosphere.