Evidence map›Paper›PMID 39250695›Full record

ArticleChemical research in toxicology2024

Modeling the Toxicokinetics of Suspensions of Soluble Metallic Nanomaterials.

Guangchao Chen, Vivi Rottschäfer, Martina G Vijver, Willie J G M Peijnenburg

Abstract read
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Article in Chemical research in toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Guangchao ChenCentre for Prevention, Lifestyle, and Health, National Institute of Public Health and the Environment (RIVM), P.O. Box 1, Bilthoven 3720 BA, The Netherlands.
Vivi RottschäferMathematical Institute, Leiden University, Einsteinweg 55, Leiden 2333 CC, The Netherlands.
Martina G VijverInstitute of Environmental Sciences (CML), Leiden University, Einsteinweg 2, 2333 CC, Leiden, The Netherlands.
Willie J G M PeijnenburgInstitute of Environmental Sciences (CML), Leiden University, Einsteinweg 2, 2333 CC, Leiden, The Netherlands.ORCID 0000-0003-2958-9149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proper risk assessment of the many new nanoforms (NFs) that are currently being developed and marketed is hindered by constraints in time and resources for testing their fate and (eco) toxicity profile. This problem has also been encountered in conventional chemical risk assessments, where the definition of related chemical groups can facilitate risk assessment for all class members. Whereas grouping and read-across methods are well established, such approaches are in the early stages of development for NFs. In this study, a modeling framework was developed for grouping NFs into distinct classes regarding the contribution of released ions to suspension-induced toxicity. The framework is based on combining dissolution rate constants of NFs with information about the toxicokinetics of the NFs and the dissolution products formed. The framework is exemplified for the specific case of suspension toxicity of metallic NFs (silver and copper). To this end, principles of mixture toxicity and dose-response modeling are integrated to derive threshold values for the key NF properties determining suspension toxicity: size, shape, and chemical composition. The threshold values thus derived offer a possible solution for the high-throughput screening of NFs according to their morphological and compositional properties in a regulatory context.

Indexed as

SuspensionsToxicokineticsCopperMetal NanoparticlesModels, BiologicalNanostructuresParticle SizeSilverSolubilityCopperSilverSuspensions

Identifiers

PMID39250695
PMCPMC11497356

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.