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| Main Authors: | , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
ACS nano
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40465886/ |
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| _version_ | 1868266196160217089 |
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| author | Yan, Neng Wang, Yan Wong, Tin Yan Wu, Zhiwei Wang, Xiuxiu Xie, Minwei Kutumova, Elena Parodi, Alessandro Kolpakov, Fedor Wang, Wen-Xiong Shi, Jianbo |
| author_facet | Yan, Neng Wang, Yan Wong, Tin Yan Wu, Zhiwei Wang, Xiuxiu Xie, Minwei Kutumova, Elena Parodi, Alessandro Kolpakov, Fedor Wang, Wen-Xiong Shi, Jianbo Yan, Neng Wang, Yan Wong, Tin Yan Wu, Zhiwei Wang, Xiuxiu Xie, Minwei Kutumova, Elena Parodi, Alessandro Kolpakov, Fedor Wang, Wen-Xiong Shi, Jianbo |
| collection | PubMed - marine biology |
| contents | Differential Mapping of Intracellular Metallic Nanoparticles and Ions and Dynamic Modeling Prediction. Yan, Neng Wang, Yan Wong, Tin Yan Wu, Zhiwei Wang, Xiuxiu Xie, Minwei Kutumova, Elena Parodi, Alessandro Kolpakov, Fedor Wang, Wen-Xiong Shi, Jianbo Metal Nanoparticles Humans Ions Copper Silver Zinc Oxide Particle Size Predicting the toxicity of metallic nanoparticles (MNPs) remains a longstanding challenge in the biomedical field, primarily due to the unresolved dynamic transformation between pristine MNPs and their dissolved ionic counterparts within living systems. Herein, we develop an integrative bioimaging-mathematical framework that quantifies, in real-time mode, the contributions of MNPs and their ionic counterparts to toxicity. By integrating aggregation-induced emission (AIE)-based confocal imaging with label-free scattered light tracking, we achieve simultaneous and noninvasive visualization of different-sized pristine silver, copper oxide, and zinc oxide nanoparticles (Ag-, CuO-, and ZnO-NPs, 20-100 nm) and their ionic forms in living cells. This dual-modal approach reveals size-dependent intracellular dissolution dynamics, with 2.68-34.7% of internalized MNPs dissolving post uptake and smaller particles releasing 1.08-1.22 times more ions than larger particles. Leveraging these spatiotemporal insights, we developed a cascading toxicity model that mechanistically links extracellular dissolution, cellular uptake, intracellular transformation, and toxicity pathways. The model demonstrates that ionic species dominate toxicity across all MNPs, contributing 59.7-79.4% (AgNPs), 69.6-100% (CuO-NPs), and 97.7% (ZnO-NPs) of overall toxicity within 0-100 mg/L. Strikingly, toxicity profiles vary by MNP type: AgNPs exhibit biphasic toxicity, CuO-NPs follow a logistic-like pattern, and ZnO-NPs remain entirely ion-driven. By bridging real-time bioimaging with kinetic modeling, our framework provides the first quantitative resolution of nanoparticle- versus ion-specific toxicity. This work not only advances mechanistic understanding of MNP behavior but also establishes a universally applicable tool for predictive nanotoxicology, enabling safer design of nanomaterials and informed regulatory policies. |
| format | Artículo científico |
| id | pubmed_40465886 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | ACS nano |
| record_format | pubmed |
| spellingShingle | Differential Mapping of Intracellular Metallic Nanoparticles and Ions and Dynamic Modeling Prediction. Yan, Neng Wang, Yan Wong, Tin Yan Wu, Zhiwei Wang, Xiuxiu Xie, Minwei Kutumova, Elena Parodi, Alessandro Kolpakov, Fedor Wang, Wen-Xiong Shi, Jianbo Metal Nanoparticles Humans Ions Copper Silver Zinc Oxide Particle Size Differential Mapping of Intracellular Metallic Nanoparticles and Ions and Dynamic Modeling Prediction. Yan, Neng Wang, Yan Wong, Tin Yan Wu, Zhiwei Wang, Xiuxiu Xie, Minwei Kutumova, Elena Parodi, Alessandro Kolpakov, Fedor Wang, Wen-Xiong Shi, Jianbo Metal Nanoparticles Humans Ions Copper Silver Zinc Oxide Particle Size Predicting the toxicity of metallic nanoparticles (MNPs) remains a longstanding challenge in the biomedical field, primarily due to the unresolved dynamic transformation between pristine MNPs and their dissolved ionic counterparts within living systems. Herein, we develop an integrative bioimaging-mathematical framework that quantifies, in real-time mode, the contributions of MNPs and their ionic counterparts to toxicity. By integrating aggregation-induced emission (AIE)-based confocal imaging with label-free scattered light tracking, we achieve simultaneous and noninvasive visualization of different-sized pristine silver, copper oxide, and zinc oxide nanoparticles (Ag-, CuO-, and ZnO-NPs, 20-100 nm) and their ionic forms in living cells. This dual-modal approach reveals size-dependent intracellular dissolution dynamics, with 2.68-34.7% of internalized MNPs dissolving post uptake and smaller particles releasing 1.08-1.22 times more ions than larger particles. Leveraging these spatiotemporal insights, we developed a cascading toxicity model that mechanistically links extracellular dissolution, cellular uptake, intracellular transformation, and toxicity pathways. The model demonstrates that ionic species dominate toxicity across all MNPs, contributing 59.7-79.4% (AgNPs), 69.6-100% (CuO-NPs), and 97.7% (ZnO-NPs) of overall toxicity within 0-100 mg/L. Strikingly, toxicity profiles vary by MNP type: AgNPs exhibit biphasic toxicity, CuO-NPs follow a logistic-like pattern, and ZnO-NPs remain entirely ion-driven. By bridging real-time bioimaging with kinetic modeling, our framework provides the first quantitative resolution of nanoparticle- versus ion-specific toxicity. This work not only advances mechanistic understanding of MNP behavior but also establishes a universally applicable tool for predictive nanotoxicology, enabling safer design of nanomaterials and informed regulatory policies. |
| title | Differential Mapping of Intracellular Metallic Nanoparticles and Ions and Dynamic Modeling Prediction. |
| topic | Metal Nanoparticles Humans Ions Copper Silver Zinc Oxide Particle Size |
| url | https://pubmed.ncbi.nlm.nih.gov/40465886/ |