2023
DOI: 10.1002/etc.5578
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Big Question to Developing Solutions: A Decade of Progress in the Development of Aquatic New Approach Methodologies from 2012 to 2022

Abstract: In 2012, 20 key questions related to hazard and exposure assessment and environmental and health risks of pharmaceuticals and personal care products in the natural environment were identified. A decade later, this article examines the current level of knowledge around one of the lowest‐ranking questions at that time, number 19: “Can nonanimal testing methods be developed that will provide equivalent or better hazard data compared with current in vivo methods?” The inclusion of alternative methods that replace,… Show more

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Cited by 7 publications
(8 citation statements)
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References 67 publications
(76 reference statements)
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“…Work on PPCPs in the coming decade will benefit from a wide range of "new" methodologies that are introduced in papers in the special issue. These include citizen science to monitor PPCPs (Wilkinson et al, 2024); non-invasive monitoring tools for monitoring uptake into and effects on organisms (Bean et al, 2024); new approach methodologies that minimize the use of animals (Ankley et al, 2024;Bean et al, 2024;Langan et al, 2024); genetic modification methods, such as clustered, regularly interspaced short palindromic repeats, coupled with new imaging methods (Margiotta-Casaluci et al, 2024); omics methods (Brooks et al, 2024;Manaia et al, 2024); high-throughput experimental testing methods-for example, high-throughput absorption, distribution, metabolism, and excretion tests (ADME; Kidd et al, 2024;Margiotta-Casaluci et al, 2024); machine learning approaches (Carter et al, 2024;Margiotta-Casaluci et al, 2024); and other advanced modeling methods such as Bayesian physiologically based pharmacokinetic models, population-based ADME simulators, hidden Markov models, and population ecology and bioenergetic tools (Brooks et al, 2024;Manaia et al, 2024;Margiotta-Casaluci et al, 2024).…”
Section: Effects Characterizationmentioning
confidence: 99%
See 1 more Smart Citation
“…Work on PPCPs in the coming decade will benefit from a wide range of "new" methodologies that are introduced in papers in the special issue. These include citizen science to monitor PPCPs (Wilkinson et al, 2024); non-invasive monitoring tools for monitoring uptake into and effects on organisms (Bean et al, 2024); new approach methodologies that minimize the use of animals (Ankley et al, 2024;Bean et al, 2024;Langan et al, 2024); genetic modification methods, such as clustered, regularly interspaced short palindromic repeats, coupled with new imaging methods (Margiotta-Casaluci et al, 2024); omics methods (Brooks et al, 2024;Manaia et al, 2024); high-throughput experimental testing methods-for example, high-throughput absorption, distribution, metabolism, and excretion tests (ADME; Kidd et al, 2024;Margiotta-Casaluci et al, 2024); machine learning approaches (Carter et al, 2024;Margiotta-Casaluci et al, 2024); and other advanced modeling methods such as Bayesian physiologically based pharmacokinetic models, population-based ADME simulators, hidden Markov models, and population ecology and bioenergetic tools (Brooks et al, 2024;Manaia et al, 2024;Margiotta-Casaluci et al, 2024).…”
Section: Effects Characterizationmentioning
confidence: 99%
“…Alongside this, there have been major advances in the development of adverse outcome pathways (AOPs) for PPCPs from different molecular initiation events, providing us with a much stronger foundation for extrapolating molecularlevel effects to effects on whole organisms (Brooks et al, 2024;Margiotta-Casaluci et al, 2024). The experimental effects testing area has seen the development of a range of new approach methodologies aimed at reducing the use of wholeanimal tests, including approaches for bioaccumulation, weight-of-evidence approaches, and omics-based applications (Langan et al, 2024). The last decade has also seen an increase in the amount of data on the ecotoxicological interactions of mixtures of pharmaceuticals, including mixture effects at the molecular level; and this has helped us to evaluate mixture toxicity models for estimating the effects of pharmaceutical mixtures (Kidd et al, 2024).…”
mentioning
confidence: 99%
“…The goal is within reach, but requires a global, multidisciplinary, and inclusive approach to establish consensus. A concerted effort and orchestration between ALL relevant stakeholders (academia, industry, civil society, regulators, and decision makers) (Langan et al, 2023) remains the foundation for seamless science translation into fit-for-purpose tools for enhanced human and environmental protection.…”
Section: Editorialmentioning
confidence: 99%
“…The goal is within reach, but requires a global, multidisciplinary, and inclusive approach to establish consensus. A concerted effort and orchestration between ALL relevant stakeholders (academia, industry, civil society, regulators, and decision makers) (Langan et al, 2023) remains the foundation for seamless science translation into fit‐for‐purpose tools for enhanced human and environmental protection.
A concerted effort and orchestration between ALL relevant stakeholders (academia, industry, civil society, regulators, and decision makers) remains the foundation for seamless science translation into fit‐for‐purpose tools for enhanced human and environmental protection.
…”
Section: Figurementioning
confidence: 99%
“…This ambition could be realized, at least partially, by developing a battery of novel scalable and, most importantly, predictive in vitro and in silico methods (e.g., artificial intelligence [AI]-powered quantitative structure-activity relationships, in vitro organoids) for the detection of species-specific toxicity in the species of interest (e.g., fish; reviewed by Langan et al, 2024). However, even in a scenario in which this novel battery of "replacement, reduction, and refinement" (3Rs)-friendly methods were to become available, the volume of ecotoxicity data generated for human pharmaceuticals will always be much smaller than the volume of mammalian data generated for the purposes of human safety and efficacy assessment.…”
Section: Introductionmentioning
confidence: 99%