2018
DOI: 10.1002/etc.4082
|View full text |Cite
|
Sign up to set email alerts
|

Benchmark dose analysis framework for developing wildlife toxicity reference values

Abstract: The effects characterization phase of ecological risk assessments (ERAs) often includes the selection or development of toxicity reference values (TRVs) for chemicals under investigation. In wildlife risk assessments, TRVs are thresholds represented by a dose or concentration associated with a specified adverse response. Traditionally, a TRV may be derived from an estimate of the no-observed-adverse effect level or lowest-observed-adverse-effect level, identified from a controlled toxicity study. Because of th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
19
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 15 publications
(20 citation statements)
references
References 41 publications
1
19
0
Order By: Relevance
“…While standard risk assessment approaches focus on setting thresholds, our proposal for population modelling is to use the full dose-response curve and to integrate the time component, selecting for each pesticide the relevant duration of effects associated with chronic exposure according to the information extracted from the different studies. This is in line with the use in ecotoxicology of novel dose-response tools such as the benchmark dose approach [31]; it also considers that at the population level, the pesticide exposure will vary both over time and among individuals, and consequently the effect on mortality and reproduction rates is better modelled by a continuous rather than a binary response. Extracting information from the toxicity studies and constructing the dose-time-response models requires expert knowledge and has an associated level of uncertainty.…”
Section: Discussionmentioning
confidence: 71%
See 2 more Smart Citations
“…While standard risk assessment approaches focus on setting thresholds, our proposal for population modelling is to use the full dose-response curve and to integrate the time component, selecting for each pesticide the relevant duration of effects associated with chronic exposure according to the information extracted from the different studies. This is in line with the use in ecotoxicology of novel dose-response tools such as the benchmark dose approach [31]; it also considers that at the population level, the pesticide exposure will vary both over time and among individuals, and consequently the effect on mortality and reproduction rates is better modelled by a continuous rather than a binary response. Extracting information from the toxicity studies and constructing the dose-time-response models requires expert knowledge and has an associated level of uncertainty.…”
Section: Discussionmentioning
confidence: 71%
“…This situation requires the reanalysis of the daily data from each test to identify the time required for observing the effects. The comparison of the NOAELs and LOAELs from studies with different duration may offer relevant information [31]. For glyphosate and bromoxynil, the lowest LOAELs were observed already at short exposure durations, suggesting the use of exposure time windows of 12 and 5 days for glyphosate and bromoxynil, respectively.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is so because the effects of a pollutant on functional pathways are generally more robust than their effects on the expression of specific genes, whatever useful may they be for exposure and effect assessment studies. In addition, the application of benchmark dose approach in toxicology, chemical effects and risk assessment are nowadays preferred to other more conventional parameters as NOECs or LOECs (Altenburger et al, 2012;Escher et al, 2014;Mayfield and Skall, 2018) and allow us to compare different datasets at different doses, as previously reported (Tu et al, 2019). Finally, applying the BMD concept at the functional level J o u r n a l P r e -p r o o f allowed us to separate the initially affected pathways (steroid biosynthesis, in our case) from the ones disrupted at higher concentrations (cell viability, general development or lipid-related pathways, among others).…”
Section: Discussionmentioning
confidence: 99%
“…This value depends not only on the selected dose range used in the experiment, but also on the ability to detect adverse effects in the experiment. The advantages of the BMD approach are that, in addition to threshold effects, it also includes non-threshold effects, gives better usability of experimental data, and the obtained results do not depend on the dose range used in the experiment (17,18). The European Food Safety Authority (EFSA) considers this approach to be more advanced than the NOAEL approach (17).…”
Section: Introductionmentioning
confidence: 99%