Literature DB >> 32626020

Scientific Opinion on the state of the art of Toxicokinetic/Toxicodynamic (TKTD) effect models for regulatory risk assessment of pesticides for aquatic organisms.

Colin Ockleford, Paulien Adriaanse, Philippe Berny, Theodorus Brock, Sabine Duquesne, Sandro Grilli, Antonio F Hernandez-Jerez, Susanne Hougaard Bennekou, Michael Klein, Thomas Kuhl, Ryszard Laskowski, Kyriaki Machera, Olavi Pelkonen, Silvia Pieper, Robert H Smith, Michael Stemmer, Ingvar Sundh, Aaldrik Tiktak, Christopher J Topping, Gerrit Wolterink, Nina Cedergreen, Sandrine Charles, Andreas Focks, Melissa Reed, Maria Arena, Alessio Ippolito, Harry Byers, Ivana Teodorovic.   

Abstract

Following a request from EFSA, the Panel on Plant Protection Products and their Residues (PPR) developed an opinion on the state of the art of Toxicokinetic/Toxicodynamic (TKTD) models and their use in prospective environmental risk assessment (ERA) for pesticides and aquatic organisms. TKTD models are species- and compound-specific and can be used to predict (sub)lethal effects of pesticides under untested (time-variable) exposure conditions. Three different types of TKTD models are described, viz., (i) the 'General Unified Threshold models of Survival' (GUTS), (ii) those based on the Dynamic Energy Budget theory (DEBtox models), and (iii) models for primary producers. All these TKTD models follow the principle that the processes influencing internal exposure of an organism, (TK), are separated from the processes that lead to damage and effects/mortality (TD). GUTS models can be used to predict survival rate under untested exposure conditions. DEBtox models explore the effects on growth and reproduction of toxicants over time, even over the entire life cycle. TKTD model for primary producers and pesticides have been developed for algae, Lemna and Myriophyllum. For all TKTD model calibration, both toxicity data on standard test species and/or additional species can be used. For validation, substance and species-specific data sets from independent refined-exposure experiments are required. Based on the current state of the art (e.g. lack of documented and evaluated examples), the DEBtox modelling approach is currently limited to research applications. However, its great potential for future use in prospective ERA for pesticides is recognised. The GUTS model and the Lemna model are considered ready to be used in risk assessment.
© 2018 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.

Entities:  

Keywords:  Toxicokinetic/Toxicodynamic models; aquatic organisms; model calibration; model evaluation; model validation; prospective risk assessment; time‐variable exposure

Year:  2018        PMID: 32626020      PMCID: PMC7009662          DOI: 10.2903/j.efsa.2018.5377

Source DB:  PubMed          Journal:  EFSA J        ISSN: 1831-4732


  11 in total

1.  Evaluation of the risks for animal health related to the presence of hydroxymethylfurfural (HMF) in feed for honey bees.

Authors:  Laurent Bodin; Jesús Del Mazo; Bettina Grasl-Kraupp; Christer Hogstrand; Jean-Charles Leblanc; Margherita Bignami; Laurentius Ron Hoogenboom; Carlo Stefano Nebbia; Elsa Nielsen; Evangelia Ntzani; Annette Petersen; Dieter Schrenk; Christiane Vleminckx; Heather Wallace; Andreas Focks; Ales Gregorc; Manfred Metzler; Fabio Sgolastra; Simone Tosi; Zsuzsanna Horvath; Alessio Ippolito; Agnes Rortais; Hans Steinkellner; Csaba Szentes; Salomon Sand
Journal:  EFSA J       Date:  2022-04-20

2.  Pop-guide: Population modeling guidance, use, interpretation, and development for ecological risk assessment.

Authors:  Sandy Raimondo; Amelie Schmolke; Nathan Pollesch; Chiara Accolla; Nika Galic; Adrian Moore; Maxime Vaugeois; Pamela Rueda-Cediel; Andrew Kanarek; Jill Awkerman; Valery Forbes
Journal:  Integr Environ Assess Manag       Date:  2021-02-01       Impact factor: 3.084

3.  Predicting Mixture Effects over Time with Toxicokinetic-Toxicodynamic Models (GUTS): Assumptions, Experimental Testing, and Predictive Power.

Authors:  Sylvain Bart; Tjalling Jager; Alex Robinson; Elma Lahive; David J Spurgeon; Roman Ashauer
Journal:  Environ Sci Technol       Date:  2021-01-26       Impact factor: 9.028

4.  The application and limitations of exposure multiplication factors in sublethal effect modelling.

Authors:  Neil Sherborne; Tjalling Jager; Benoit Goussen; Marie Trijau; Roman Ashauer
Journal:  Sci Rep       Date:  2022-04-11       Impact factor: 4.379

5.  TWAc-Check: A New Approach to Determine the Appropriate Use of Time-Weighted Average Concentration in Aquatic Risk Assessment.

Authors:  Yvonne Wolf; Faten Gabsi; Eric Bruns; Simon Heine; Andreas Solga; Johannes Witt; Thomas G Preuss
Journal:  Environ Toxicol Chem       Date:  2022-05-21       Impact factor: 4.218

6.  Fish Species Sensitivity Ranking Depends on Pesticide Exposure Profiles.

Authors:  Dirk Nickisch Born Gericke; Björn Christian Rall; Alexander Singer; Roman Ashauer
Journal:  Environ Toxicol Chem       Date:  2022-06-06       Impact factor: 4.218

7.  BeeGUTS-A Toxicokinetic-Toxicodynamic Model for the Interpretation and Integration of Acute and Chronic Honey Bee Tests.

Authors:  Jan Baas; Benoit Goussen; Mark Miles; Thomas G Preuss; Ivo Roessink
Journal:  Environ Toxicol Chem       Date:  2022-08-04       Impact factor: 4.218

8.  Disentangling Mechanisms Behind Chronic Lethality through Toxicokinetic-Toxicodynamic Modeling.

Authors:  André Gergs; Jutta Hager; Eric Bruns; Thomas G Preuss
Journal:  Environ Toxicol Chem       Date:  2021-05-04       Impact factor: 3.742

9.  Simulating Honey Bee Large-Scale Colony Feeding Studies Using the BEEHAVE Model-Part I: Model Validation.

Authors:  Amelie Schmolke; Farah Abi-Akar; Colleen Roy; Nika Galic; Silvia Hinarejos
Journal:  Environ Toxicol Chem       Date:  2020-09-22       Impact factor: 3.742

10.  Modelling the effects of variability in feeding rate on growth - a vital step for DEB-TKTD modelling.

Authors:  Thomas Martin; Mark E Hodson; Roman Ashauer
Journal:  Ecotoxicol Environ Saf       Date:  2022-01-29       Impact factor: 6.291

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.