Myocardial ischemia-reperfusion (Mi/r) injury is a complex pathological process that occurs when tissues are reperfused following a prolonged period of ischemia. Troxerutin has been reported to have cardioprotective functions. However, the underlying mechanism by which troxerutin protects against Mi/r injury has not been fully elucidated. The aim of the present study was to explore whether troxerutin-mediated protection against oxygen-glucose deprivation/reoxygenation (oGd/r)-induced H9c2 cell injury was associated with the inhibition of oxidative stress and the inflammatory response by regulating the Pi3K/aKT/hypoxia-inducible factor-1α (HiF-1α) signaling pathway. The results of the present study suggested that troxerutin pretreatment prevented the oGd/r-induced reduction in cell viability, and the increase in lactate dehydrogenase activity and apoptosis. Troxerutin reversed oGd/r-induced the inhibition of the Pi3K/aKT/HiF-1α signaling pathway as demonstrated by the increased expression of Pi3K and HiF-1α, and the increased ratio of phosphorylated aKT/aKT. lY294002, a selective Pi3K inhibitor, inhibited the Pi3K/aKT/HiF-1α signaling pathway and further attenuated the protective effect of troxerutin against oGd/r-induced H9c2 cell damage. Furthermore, small interfering (si)rna-mediated knockdown of HiF-1α reduced troxerutin-induced protection against oGd/r injury. Troxerutin pretreatment alleviated oGd/r-induced oxidative stress, as demonstrated by the reduced generation of reactive oxygen species and malonaldehyde content, and the increased activities of superoxide dismutase and glutathione peroxidase, which were reduced by HiF-1α-sirna. Troxerutin-induced decreases in the levels of interleukin (il)-1β, il-6 and tumor necrosis factor-α in oGd/r conditions were also reduced by HiF-1α-sirna. The results from the present study indicated that troxerutin aggravated oGd/r-induced H9c2 cell injury by inhibiting oxidative stress and the inflammatory response. The primary underlying protective mechanism of troxerutin was mediated by the activation of the Pi3K/aKT/HiF-1α signaling pathway.

Vascular stents made based on three-dimensional (3D) printing technology for interventional therapy have become one of the more common clinical means to treat patients with severe coronary heart disease (CHD). However, the biocompatibility of stent surface needs to be further improved. Over the past years, many researchers have adopted surface modification technology to improve the cytocompatibility of vascular stents. In this work, plasma polymerization (PP) technology was employed to introduce the allylamine (AA) and nitrogen with different concentrations as auxiliary gases. After ionization, fragmentation, and recombination, the surface of the stent was deposited to form amine-rich coatings (AMMak membrane and AMMak-N membrane). The composition and surface morphology of the coating were analyzed by physical characterization (infrared, X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), atomic force microscopy (AFM), contact angle (CA), etc.). In addition, the cytocompatibility of the coating before and after modification was evaluated by using the endothelial cells (EC) implantation test. The biodegradable substrate (MgZnMn, Fe) was employed to deposit the amine-rich coatings and evaluate their cytocompatibility. The results told that the polymeric coating had a higher concentration of amine group when the nitrogen flow rate was at 5 sccm, and the coating was conductive to the adhesion and proliferation of ECs by adsorbing proteins. After the introduction of biodegradable substrate, the amino group on the coating surface further improved the cytocompatibility of the material. The PP technology can be applied to prepare a relatively dense PP coating, which can be further precipitated and solvent-free deposition. Therefore, it is very suitable for modifying the surface of degradable vascular stent materials.

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Recommendation system is a type of web intelligence technology that can perform daily information filtering for users. It has a more and more important position in the Internet era, so the filtering technology has become a focus of it. This paper introduces a technique called latent factor model which belongs to Collaborative Filtering, and it can identify hidden themes or categories, and establish the relationship between features through implicit themes or categories. The article takes book recommendation system in Douban as an example to explain the kind of technology can contribute to improve the recommendation system.