ArticleInternational journal of nanomedicine2026
RNA Sequencing Explores Potential Mechanisms Underlying the Enhanced Aggressive Phenotype of HepG2 Cells Induced by Aged Zinc Oxide Nanoparticles.
Article in International journal of nanomedicine, 2026. 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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6 authors.
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Abstract
Purpose: While aged zinc oxide nanoparticles (ZnO NPs) show reduced acute cytotoxicity, their chronic effects remain unclear. This study compared the long-term, low-dose impact of environmentally aged versus fresh ZnO NPs on enhanced aggressive phenotype in hepatocellular carcinoma cells. Material and Methods: HepG2 cells were chronically exposed (approximately 16 weeks) to low doses (1.5 µg/mL) of aged or fresh ZnO NPs. RNA sequencing (n=3 per group) identified transcriptomic changes, while migration and invasion assays validated functional outcomes. A transcription factor (TF) -mRNA network was constructed, and clinical correlation was analyzed using patient survival data. Results: Aged ZnO NPs were associated with the activation of pro-oncogenic pathways (e.g. JAK-STAT) and induced increased cell migration and invasion compared to fresh NPs. Network analysis suggested CEBPA, CTNNB1, and STAT3 as potential core transcriptional regulators. Consistent with their potential role in promoting an aggressive phenotype, the elevated expression levels of these TFs were associated with reduced overall survival in patients with hepatocellular carcinoma. Conclusion: Chronic exposure to environmentally aged ZnO NPs, despite lower acute toxicity, may promote a more aggressive phenotype in liver cells compared to fresh NPs. This effect is potentially mediated by the specific modulation of oncogenic pathways and a core transcriptional network linked to poor patient outcomes. Our findings suggest that the environmental aging process could be an important factor influencing the long-term potential of ZnO NPs to promote an aggressive phenotype, which should be considered in nanomaterial risk assessment.
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