Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Zinc oxide nanoparticles (ZnO NPs) are used in a wide range of applications including industry, commercial products and medicine field. Numerous mechanistic studies for ZnO NPs' toxicity were performed on pristine (fresh) NPs. However, the cytotoxicity induced by the transformed (aged) ZnO NPs and the underlying mechanisms remain unclear. Here, we observed the physicochemical transformation of ZnO NPs underwent over time, followed by evaluating the cytotoxicity of fresh and aged NPs. We found that fresh ZnO NPs induced higher apoptosis level than their aged counterparts. Accordingly, RNA sequencing data from aged ZnO NP-treated human-hamster hybrid (AL) cells showed that p53, PI3k-Akt, FoXO, Glutathione, ErbB, HIF-1, Oxytocin and Jak-STAT signaling pathways were enriched but no apoptosis pathway. Quantitative PCR results revealed the significantly higher mRNA level of IL1B and CD69 in fresh NP-treated groups compared to that of aged ZnO NP- and zinc chloride-treated groups. The above results indicated that the lower cytotoxicity of aged ZnO NPs is partially attributed to their reduced potency in inducing apoptosis. The transcriptional regulation of multiple signal pathways activated by aged NPs may help to build the cellular homeostasis. Taken together, our findings highlight the influence of aging (environmental transformation) process of ZnO NPs on their toxicities and biological consequences.
Pubmed ID: 34370102
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
Software providing a set of functions to generate high-resolution Venn and Euler plots. Includes handling for several special cases, including two-case scaling, and extensive customization of plot shape and structure.
View all literature mentionsSoftware package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.
View all literature mentions