FSA research and evidence., Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 10, 2024
Language: Английский
Environment International, Journal Year: 2025, Volume and Issue: 197, P. 109339 - 109339
Published: Feb. 18, 2025
Language: Английский
Citations
2
EFSA Journal, Journal Year: 2023, Volume and Issue: 21(11)
Published: Nov. 1, 2023
This publication is linked to the following EFSA Supporting Publications articles: http://onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2023.EN-8441/full, http://onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2023.EN-8440/full, http://onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2023.EN-8437/full
Language: Английский
Citations
9
EFSA Supporting Publications, Journal Year: 2023, Volume and Issue: 20(11)
Published: Nov. 1, 2023
This technical report provides a user guide for the TKPlate 1.0 platform which allows to implement New Approach Methodologies in chemical risk assessment process by means of toxicokinetic and toxicodynamic modelling chemicals humans, laboratory animals, farm animals species ecological relevance. is available as an open access web-based tool or downloadable application. The built workflow 7 modules: 1. Input module can select species, kinetic physiologically-based model, be modelled, exposure scenarios simulation times, 2. Forward dosimetry allowing simulate parameters, body fluid organ concentrations, 3. Reverse reconstruction distributions using internal dose such biomonitoring data, 4. Benchmark model averaging on basis, 5. Dynamic energy budget modelling, 6. Mixture characterisation methods from EFSA's Scientific committee guidance document, 7. Automated where input output data report, graphs datasets. For each module, structure applications are described with examples. development external scientific associated EFSA editorial two reports namely case studies illustrating 1.0. Finally, all models files also published Zenodo (https://zenodo.org/record/7494936).
Language: Английский
Citations
5
Frontiers in Toxicology, Journal Year: 2023, Volume and Issue: 5
Published: Dec. 19, 2023
A large majority of chemicals is converted into metabolites through xenobiotic-metabolising enzymes. Metabolites may present a spectrum characteristics varying from similar to vastly different compared with the parent compound in terms both toxicokinetics and toxicodynamics. In pesticide arena, role metabolism increasingly recognised as significant factor particularly for design interpretation mammalian toxicological studies toxicity assessment pesticide/metabolite-associated issues hazard characterization risk purposes, including parts various residues ecotoxicological adversities. This particular relevance that are unique humans comparison found vitro or vivo animal studies, but also disproportionate (quantitative differences) between species. Presence underlie potential concerns. review aims current state-of-the-art comparative research assessment, One Health perspectives, future needs based on experiences gained at European Food Safety Authority.
Language: Английский
Citations
4
Food and Chemical Toxicology, Journal Year: 2024, Volume and Issue: 190, P. 114812 - 114812
Published: June 13, 2024
Nonsteroidal Anti-Inflammatory Drugs (NSAIDs) and paracetamol can be administered off-label to cattle. Since the use of these veterinary medicines in cattle may pose a public health risk after meat consumption, it is important translate measured concentrations urine tissues into for human consumption. A generic physiologically-based kinetic (PBK) model enable this translation. In work, beef PBK was applied calculate relationships between different bovine those were compared matrices. Sixty-seven kidney samples, corresponding available 19 serum samples analysed. Overall, 70% predictions are within 2-fold factor kidney/meat, urine/meat, plasma/meat ratios established. The conversions mostly two, while based on plasma underpredicted. Based ratios, could used as an appropriate surrogate matrix fast, simple vivo sample screening test under field conditions, such local farms slaughterhouses, predict maximum residue level exceedance meat, reducing number samples.
Language: Английский
Citations
1
Toxicology Letters, Journal Year: 2024, Volume and Issue: 398, P. 140 - 149
Published: June 24, 2024
Tissue affinities are conventionally determined from in vivo steady-state tissue and plasma or plasma-water chemical concentration data. In silico approaches were initially developed for preclinical species but standardly applied tested human physiologically-based kinetic (PBK) models. Recently, generic PBK models farm animals have been made available require partition coefficients as input parameters. the current investigation, data species-specific compositions collected, prediction of distribution various tissues livestock cattle, chicken, sheep swine performed. Overall, composition was very similar across four animal species. However, small differences observed moisture, fat protein content organs within each Such could be attributed to factors such variations age, breed, weight general conditions itself. With regards predictions tissue:plasma coefficients, 80 %, 71 77 % model a factor 10 using methods Berezhkovskiy (2004), Rodgers Rowland (2006) Schmitt (2008). The method (2004) often providing most reliable except swine, where (2008) performed best. addition, investigation impact classes on performance, all had reliability. Notwithstanding, no clear pattern regarding specific chemicals detected values predicted outside 10-fold change certain tissues. This manuscript concludes with need future research, particularly focusing lipophilicity binding.
Language: Английский
Citations
1
EFSA Supporting Publications, Journal Year: 2023, Volume and Issue: 20(11)
Published: Nov. 1, 2023
This technical report is associated with the external scientific and user guide of TKPlate 1.0 provides case studies for each modules performing either toxicokinetic and/or toxicodynamic modelling. For study, input data are provided procedure to run them described can be uploaded from info page module. The presented here include forward dosimetry, reverse modelling, dynamic energy budget modelling risk characterisation combined exposure multiple chemicals MIXTOX four fipronil (human one-compartment kinetic model), caffeine amiodarone (generic human physiologically-based (PBK) chlorpyrifos (QIVIVE generic PBK model) a study using multi-route 6 compartment model. two available namely melatonin model deltamethrin chicken laying hens. Both allow reconstruction plausible distributions internal dose such as biomonitoring data. TD 90-day toxicological in male rats illustrated perform benchmark presented. individual population effects fenvalerate on Daphnia magna survival lead Eisenia fetida growth. Finally, mixture three contaminants deterministic hazard index methodology.
Language: Английский
Citations
3
EFSA Supporting Publications, Journal Year: 2024, Volume and Issue: 21(7)
Published: July 1, 2024
Abstract The European Food Safety Authority (EFSA) has a goal to efficiently conduct aggregate exposure assessments (AEAs) for chemicals using both models and human biomonitoring (HBM) data by 2030. To achieve EFSA's vision, roadmap action advancing (AE) in the EU was developed. This created performing series of engagement collection activities map currently available methods, data, tools assessing AE chemicals, against needs priorities EFSA. allowed creation AEA framework, identification knowledge gaps our current capabilities, challenges blockers that would hinder efforts fill gaps. identifies interdependent working areas (WAs) where additional research development are required goal. It also proposes future collaboration opportunities recommends several project proposals meet goals. Eight proposal projects supported SWOT analysis presented consideration. inform high‐level recommendations multi‐annual multi‐partner projects. Recommendations improve stakeholder communication work on were gathered surveying stakeholders specific actions AE, including webinars, virtual training, social media channels, newsletters.
Language: Английский
Citations
0
FSA research and evidence., Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 10, 2024
Language: Английский
Citations
0