Literature DB >> 21366215

General unified threshold model of survival--a toxicokinetic-toxicodynamic framework for ecotoxicology.

Tjalling Jager1, Carlo Albert, Thomas G Preuss, Roman Ashauer.   

Abstract

Toxicokinetic-toxicodynamic models (TKTD models) simulate the time-course of processes leading to toxic effects on organisms. Even for an apparently simple endpoint as survival, a large number of very different TKTD approaches exist. These differ in their underlying hypotheses and assumptions, although often the assumptions are not explicitly stated. Thus, our first objective was to illuminate the underlying assumptions (individual tolerance or stochastic death, speed of toxicodynamic damage recovery, threshold distribution) of various existing modeling approaches for survival and show how they relate to each other (e.g., critical body residue, critical target occupation, damage assessment, DEBtox survival, threshold damage). Our second objective was to develop a general unified threshold model for survival (GUTS), from which a large range of existing models can be derived as special cases. Specific assumptions to arrive at these special cases are made and explained. Finally, we illustrate how special cases of GUTS can be fitted to survival data. We envision that GUTS will help increase the application of TKTD models in ecotoxicological research as well as environmental risk assessment of chemicals. It unifies a wide range of previously unrelated approaches, clarifies their underlying assumptions, and facilitates further improvement in the modeling of survival under chemical stress.

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Year:  2011        PMID: 21366215     DOI: 10.1021/es103092a

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  44 in total

1.  Reconsidering sufficient and optimal test design in acute toxicity testing.

Authors:  Tjalling Jager
Journal:  Ecotoxicology       Date:  2013-11-07       Impact factor: 2.823

2.  Population level effects of multiwalled carbon nanotubes in Daphnia magna exposed to pulses of triclocarban.

Authors:  Anne Simon; Thomas G Preuss; Andreas Schäffer; Henner Hollert; Hanna M Maes
Journal:  Ecotoxicology       Date:  2015-05-24       Impact factor: 2.823

3.  A toxicokinetic model for thiamethoxam in rats: implications for higher-tier risk assessment.

Authors:  Agnieszka J Bednarska; Peter Edwards; Richard Sibly; Pernille Thorbek
Journal:  Ecotoxicology       Date:  2013-02-22       Impact factor: 2.823

4.  Sensitivity of animals to chemical compounds links to metabolic rate.

Authors:  Jan Baas; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2015-01-07       Impact factor: 2.823

Review 5.  A framework for predicting impacts on ecosystem services from (sub)organismal responses to chemicals.

Authors:  Valery E Forbes; Chris J Salice; Bjorn Birnir; Randy J F Bruins; Peter Calow; Virginie Ducrot; Nika Galic; Kristina Garber; Bret C Harvey; Henriette Jager; Andrew Kanarek; Robert Pastorok; Steve F Railsback; Richard Rebarber; Pernille Thorbek
Journal:  Environ Toxicol Chem       Date:  2017-04       Impact factor: 3.742

6.  Toxicodynamic modeling of zebrafish larvae to metals using stochastic death and individual tolerance models: comparisons of model assumptions, parameter sensitivity and predictive performance.

Authors:  Yongfei Gao; Jianfeng Feng; Lin Zhu
Journal:  Ecotoxicology       Date:  2017-02-03       Impact factor: 2.823

7.  The ChimERA project: coupling mechanistic exposure and effect models into an integrated platform for ecological risk assessment.

Authors:  F De Laender; Paul J van den Brink; Colin R Janssen; Antonio Di Guardo
Journal:  Environ Sci Pollut Res Int       Date:  2014-02-16       Impact factor: 4.223

8.  Toxicokinetics/toxicodynamics with damage feedback improves risk assessment for tilapia and freshwater clam exposed to arsenic.

Authors:  Wei-Yu Chen; Chung-Min Liao; Yun-Ru Ju; Sher Singh; Li-John Jou; Bo-Ching Chen; Jeng-Wei Tsai
Journal:  Ecotoxicology       Date:  2011-11-02       Impact factor: 2.823

9.  Coupling toxicokinetic-toxicodynamic and population models for assessing aquatic ecological risks to time-varying pesticide exposures.

Authors:  Glen Thursby; Keith Sappington; Matthew Etterson
Journal:  Environ Toxicol Chem       Date:  2018-08-06       Impact factor: 3.742

10.  Dynamic bioavailability of copper in soil estimated by uptake and elimination kinetics in the springtail Folsomia candida.

Authors:  Masoud M Ardestani; Cornelis A M van Gestel
Journal:  Ecotoxicology       Date:  2012-12-11       Impact factor: 2.823

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