Toxicity effects of silver nanoparticles on zebrafish and the underlying mechanisms based on bioinformatics analysis
By employing the datasets(GSE50718,GSE61186,and GSE89653)from the GEO database,the underlying transcriptomic data associated with zebrafish(Danio rerio)were rigorously extracted and analyzed.Through bioinformatics analysis,we identified the significantly differentially expressed genes(DEGs)in zebrafish when exposed to silver nanoparticles with varying sizes and coatings,and subsequently compared the quantity and expression trends of these DEGs.Consequently,the abundance of DEGs was in the following order:PVP-AgNPs-50nm＞AgNO3＞PVP-AgNPs-150nm;Maltose-AgNPs＞AgNPs.By virtue of the enrichment analysis(GO,KEGG,and GSEA),it was observed that under the exposure of silver nanoparticles,the DEGs were predominantly enriched in the immune-related pathways.In sharp contrast,silver nitrate primarily affected zebrafish cell cycle and metabolic pathways.These findings provided compelling evidence that a distinct difference in molecular mechanism existed between silver nanoparticles and silver nitrate.Also,the aforementioned results led us to infer that the toxicity of silver nanoparticles not only results from the release of silver ions,but also from their inherent"particle-specificity".Moreover,the surface coating of silver nanoparticles played an important role in modulating their toxicity.These insights provide valuable guidance and strategic suggestions for the safe and effective application of silver nanoparticles in various fields.
万方数据
维普
