Bayesian toxicokinetic modeling of subcellular partitioning in grass carp exposed to copper nanoparticles and its implication for detoxification.

Hsing-Chieh Lin, Yu-Lin Tsai, Bing-Ru Hsiao, Li-Hsuan Li, Hsueh-Han Hsieh, Tzu-Hu Liu, Chong-Wei Li, Wei-Yu Chen

Abstract read

In one paragraph

Article in Scientific reports, 2025. 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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1 · What the graph read from it

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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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5 · Who and what money

Authors and funding

8 authors.

Hsing-Chieh LinDepartment of Ecology and Environmental Resources, National University of Tainan, Tainan, Taiwan.

Yu-Lin TsaiDepartment of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.

Bing-Ru HsiaoDepartment of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.

Li-Hsuan LiDepartment of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.

Hsueh-Han HsiehDepartment of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.

Tzu-Hu LiuDepartment of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.

Chong-Wei LiDepartment of Ecology and Environmental Resources, National University of Tainan, Tainan, Taiwan.

Wei-Yu ChenDepartment of Ecology and Environmental Resources, National University of Tainan, Tainan, Taiwan. f96622016@ntu.edu.tw.

Funding

National Science and Technology Council MOST 103-2313-B-037-003

6 · The paper itself

Abstract

Understanding the accumulation mechanisms and particle-specific effects of nanoparticles in aquatic organisms is crucial for assessing ecotoxicological risks of nanomaterials. The aim of this study is to evaluate the influence of copper nanoparticles (CuNPs) particle size (40-60 nm and 60-80 nm) on the subcellular partitioning kinetics of Cu in grass carp (Ctenopharyngodon idellus) tissues, utilizing a Bayesian two-compartment toxicokinetic (TK) model. Fish were exposed to these CuNPs at concentrations of 0.03, 0.1, and 0.3 µg mL

Indexed as

CarpsCopperMetal NanoparticlesWater Pollutants, ChemicalAnimalsBayes TheoremInactivation, MetabolicLiverParticle SizeTissue DistributionToxicokineticsCopperWater Pollutants, ChemicalBayesian inferenceCopper nanoparticlesDetoxificationParticle sizeSubcellular partitioningToxicokinetic model

Identifiers

PMID41238621

DOI10.1038/s41598-025-23730-4

PMCPMC12618543

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LicenceCC BY-NC-ND

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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.