The widespread application of TiO2 nanoparticles (NPs) as additives in foods such as gum, candy and puddings has dramatically increased the human ingestion and accumulation of these nanomaterials. Although the toxicity of TiO2 NPs has been extensively studied, their impact on gut microbiota in vivo still needs further research. In this study, TiO2 NPs with two main crystalline phases anatase and rutile were orally administrated to mice for 28 days. The dynamic influences of anatase and rutile on gut microbiota structures were investigated at doses equivalent to those consumed by people who love to eat candies. The results showed that titanium accumulated in the spleen, lung, and kidney but had no significant effects on organ histology. Gavage of rutile NPs but not anatase NPs resulted in longer intestinal villi and irregular arrangement of villus epithelial cells. Treatment with TiO2 NPs did not decrease gut microbiota diversity but shifted their structures in a time-dependent manner. Rutile NPs had a more pronounced influence on the gut microbiota than anatase NPs. The most influenced phylum was Proteobacteria, which was significantly increased by rutile but not by anatase. At the genus level, Prevotella was significantly decreased by both the TiO2 NPs, Rhodococcus was enriched by rutile NPs, and Bacteroides was increased by anatase NPs. Overall, these results suggested that chronic overconsumption of TiO2 NP-containing foods is likely to deteriorate the gastrointestinal tract and change the structures of microbiota. The crystalline phases may play an important role in mediating the intestinal impact of TiO2 NPs.
BackgroundTumor metastasis is the primary cause of mortality in cancer patients. Migratory breast cancer cells in lymphatic and blood vessels seek new sites and form metastatic colonies in the lung and bone, and then these cancer cells often wreak considerable havoc. With advances in nanotechnology, nanomaterials and nanotechnologies are widely applied in tumor therapy. In this paper, small size fullerenol nanoparticles, which are separated by isoelectric focusing electrophoresis (IFE) for discrepancy of isoelectric point (pI), are used in the study of tumor metastasis.ResultsIn this study, the commendable inhibition of tumor metastasis was uncovered by intravenous injection of purified fullerenol fraction with special surface charge and functional groups, which was separated by IFE for discrepancy of pI. By investigating the actin dynamics in several cancer cell lines, we found these small size fullerenol nanoparticles disturbed actin dynamics. Young’s modulus detection and cell migration assays revealed that fullerenol lowered stiffness and restrained migration of breast cancer cells. Filopodia, the main supporting structures of actin bundles, are important for cell motility and adhesion. Scanning electron microscopy showed that fullerenol reduced the number and length of filopodia. Simultaneously, the inhibition of integrin to form clusters on filopodias, which was likely induced by reorganizing of actin cytoskeleton, impacted cancer cell adhesion and motility.ConclusionsWith intravenous injection of these fullerenol nanoparticles, tumor metastasis is well inhibited in vivo. The underlying mechanism most likely to be attributed to the effect of fullerenol nanoparticles on disturbing actin dynamics. With the disordered actin fiber, cell function is varied, including decreased cell stiffness, reduced filopodia formation, and inactivated integrin.Electronic supplementary materialThe online version of this article (10.1186/s12951-018-0380-z) contains supplementary material, which is available to authorized users.
The task of event extraction contains subtasks including detections for entity mentions, event triggers and argument roles. Traditional methods solve them as a pipeline, which does not make use of task correlation for their mutual benefits. There have been recent efforts towards building a joint model for all tasks. However, due to technical challenges, there has not been work predicting the joint output structure as a single task. We build a first model to this end using a neural transition-based framework, incrementally predicting complex joint structures in a state-transition process. Results on standard benchmarks show the benefits of the joint model, which gives the best result in the literature.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.