Using the standard DEB animal model for toxicokinetic-toxicodynamic analysis

Jager, Tjalling; Goussen, Benoit; Gergs, André

doi:10.1016/j.ecolmodel.2022.110187

Cited by 17 publications

(11 citation statements)

References 29 publications

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“…Life‐history events (e.g., birth and puberty) are triggered by body‐size thresholds, rather than by maturity levels as in stdDEB‐TKTD. A final difference is in the costs for an egg, which are taken as constant, rather than using the maternal‐effect rule of the DEB theory (details discussed in Jager et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…In stdDEB‐TKTD, these lengths are model outputs rather than model parameters. Nevertheless, we can add a constraint to the model fitting procedure, such that the fitted model parameters should not lead to unrealistic values for initial and maximum length (see use of “zero‐variate” data in Jager et al, 2023). This was implemented as an extra contribution to the likelihood function.…”

Section: Methodsmentioning

confidence: 99%

“…The simplest models, often referred to as DEBtox models, have a long history in ecotoxicology (see Billoir et al, 2008;Jager, 2020;Kooijman & Bedaux, 1996). At the complex end of the range, we find the standard DEB animal model (Sousa et al, 2010) extended with a TKTD module (Augustine et al, 2012;Jager et al, 2023). The standard DEB models are more frequently used in ecological applications and have at this moment fewer applications in ecotoxicology.…”

Section: Introductionmentioning

confidence: 98%

“…The present study sheds light on these questions by comparing the performance of two DEB‐based TKTD models, using the same data sets for two common test species: Daphnia magna and Americamysis bahia . For the model formulations, we use the recently updated model descriptions for a TKTD version of the standard DEB animal model (hereafter referred to as stdDEB‐TKTD ; Jager et al, 2023) and the latest implementation of the simplified DEBtox model (hereafter referred to as DEBtox2019 ; Jager, 2020). These model versions use the same updated TKTD module and equivalent starvation strategies but differ in the complexity of the base model: the DEB model covering the life history of the species under unexposed conditions, with DEBtox2019 being less complex and having fewer parameters.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Environmental Risk Assessment with Energy Budget Models: A Comparison Between Two Models of Different Complexity

Romoli,

Jager,

Trijau

et al. 2024

Enviro Toxic and Chemistry

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The extrapolation of effects from controlled standard laboratory tests to real environmental conditions is a major challenge facing Ecological Risk Assessment (ERA) of chemicals. Toxicokinetic‐Toxicodynamic (TKTD) models, such as those based on Dynamic Energy Budget (DEB) theory, can play an important role in filling this gap. Through the years, different practical TKTD models have been derived from DEB theory, ranging from the full ‘standard’ DEB animal model to simplified ‘DEBtox’ models. It is currently unclear what impact a different level of model complexity can have on the regulatory risk assessment. In this study, we compare the performance of two DEB‐TKTD models with different level of complexity, focussing on model calibration on standard test data and on forward‐predictions for untested time‐variable exposure profiles. The first model is based on the standard DEB model with primary parameters (stdDEB‐TKTD) whereas the second is a reduced version with compound parameters, based on DEBkiss (DEBtox2019). After harmonisation of the modelling choices, we demonstrate that these two models can achieve very similar performances both in the calibration and in the forward prediction step. With the data presented in this study, selection of the most‐suitable TKTD model for ERA therefore cannot be based alone on goodness‐of‐fit nor on the precision of model predictions (within current ERA procedures for pesticides), but would likely be based on the trade‐off between ease of use and model flexibility. We also stress the importance of modelling choices, such as how to fill gaps in the information content of experimental toxicity data, and how to accommodate differences in growth and reproduction between different data sets for the same chemical‐species combination.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Environmental Risk Assessment with Energy Budget Models: A Comparison Between Two Models of Different Complexity

Romoli,

Jager,

Trijau

et al. 2024

Enviro Toxic and Chemistry

Self Cite

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show abstract

“…In particular, essential parameters of the PBTK model, such as the length of fishes, are not constant and can change significantly before the organism achieves equilibrium with the surrounding medium. 38 Therefore, the von Bertalanffy growth equation was adopted for the fish PBTK model, in which the growth rate is given by the difference between a surface-area-related term and a volume-related term. The linear fit slope between the modeled and measured concentrations for zebrafish was slightly improved after modification, indicating that growth dilution had a limited effect on the chemical ADME properties (Figure 2b).…”

Section: Impacts Of Growth Dilutionmentioning

confidence: 99%

Fish Physiologically Based Toxicokinetic Modeling Approach for In Vitro–In Vivo and Cross-Species Extrapolation of Endocrine-Disrupting Chemicals in Risk Assessment

Xie,

Xu,

et al. 2024

Environ. Sci. Technol.

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High-throughput in vitro assays combined with in vitro−in vivo extrapolation (IVIVE) leverage in vitro responses to predict the corresponding in vivo exposures and thresholds of concern. The integrated approach is also expected to offer the potential for efficient tools to provide estimates of chemical toxicity to various wildlife species instead of animal testing. However, developing fish physiologically based toxicokinetic (PBTK) models for IVIVE in ecological applications is challenging, especially for plausible estimation of an internal effective dose, such as fish equivalent concentration (FEC). Here, a fish PBTK model linked with the IVIVE approach was established, with parameter optimization of chemical unbound fraction, pH-dependent ionization and hepatic clearance, and integration of temperature effect and growth dilution. The fish PBTK−IVIVE approach provides not only a more precise estimation of tissue-specific concentrations but also a reasonable approximation of FEC targeting the estrogenic potency of endocrine-disrupting chemicals. Both predictions were compared with in vivo data and were accurate for most indissociable/dissociable chemicals. Furthermore, the model can help determine cross-species variability and sensitivity among the five fish species. Using the available IVIVE-derived FEC with target pathways is helpful to develop predicted no-effect concentration for chemicals with similar mode of action and support screening-level ecological risk assessment.

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Investigating Population‐Level Toxicity of the Antidepressant Citalopram in Harpacticoid Copepods Using In Vivo Methods and Bioenergetics‐Based Population Modeling

Koch¹,

Schamphelaere

2023

Enviro Toxic and Chemistry

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Recent research has revealed various lethal and sublethal effects of the selective serotonin reuptake inhibitor citalopram hydrobromide on the harpacticoid copepod Nitocra spinipes. In the present study, an individual-based model (IBM) grounded in the dynamic energy budget (DEB) theory was developed to extrapolate said effects to the population level. Using a generic DEB-IBM as a template, the model was designed to be as simple as possible, keeping model components that are outside the scope of the core DEB theory to a minimum. To test the model, a 56-day population experiment was performed at 0, 100, and 1000 μg citalopram hydrobromide L −1 . In the experiment, the populations quickly reached a plateau in the control and at 100 μg L −1 , which was correctly reproduced by the model and could be explained by food limitations hindering further population growth. At 1000 μg L −1 , a clear mismatch occurred: Whereas in the experiment the population size increased beyond the supposed (food competition-induced) capacity, the model predicted a suppression of the population size. It is assumed that the IBM still misses important components addressing population density-regulating processes. Particularly crowding effects may have played an important role in the population experiment and should be further investigated to improve the model. Overall, the current DEB IBM for N. spinipes should be seen as a promising starting point for bioenergetics-based copepod population modeling, which-with further improvements-may become a valuable individual-to-population extrapolation tool in the future.

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Using the standard DEB animal model for toxicokinetic-toxicodynamic analysis

Cited by 17 publications

References 29 publications

Environmental Risk Assessment with Energy Budget Models: A Comparison Between Two Models of Different Complexity

Environmental Risk Assessment with Energy Budget Models: A Comparison Between Two Models of Different Complexity

Fish Physiologically Based Toxicokinetic Modeling Approach for In Vitro–In Vivo and Cross-Species Extrapolation of Endocrine-Disrupting Chemicals in Risk Assessment

Investigating Population‐Level Toxicity of the Antidepressant Citalopram in Harpacticoid Copepods Using In Vivo Methods and Bioenergetics‐Based Population Modeling

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