Shuxuening Injection Inhibits Apoptosis and Reduces Myocardial Ischemia-Reperfusion Injury in Rats through PI3K/AKT Pathway.

OBJECTIVE: To investigate the main components and potential mechanism of Shuxuening Injection (SXNI) in the treatment of myocardial ischemia-reperfusion injury (MIRI) through network pharmacology and in vivo research. METHODS: The Traditional Chinese Medicine Systems Pharmacology (TCMSP) and PharmMapper databases were used to extract and evaluate the effective components of Ginkgo biloba leaves, the main component of SXNI. The Online Mendelian Inheritance in Man (OMIM) and GeneCards databases were searched for disease targets and obtain the drug target and disease target intersections. The active ingredient-target network was built using Cytoscape 3.9.1 software. The STRING database, Metascape online platform, and R language were used to obtain the key targets and signaling pathways of the anti-MIRI effects of SXNI. In order to verify the therapeutic effect of different concentrations of SXNI on MIRI in rats, 60 rats were first divided into 5 groups according to random number table method: the sham operation group, the model group, SXNI low-dose (3.68 mg/kg), medium-dose (7.35 mg/kg), and high-dose (14.7 mg/kg) groups, with 12 rats in each group. Then, another 60 rats were randomly divided into 5 groups: the sham operation group, the model group, SXNI group (14.7 mg/kg), SXNI+LY294002 group, and LY294002 group, with 12 rats in each group. The drug was then administered intraperitoneally at body weight for 14 days. The main biological processes were validated using in vivo testing. Evans blue/triphenyltetrazolium chloride (TTC) double staining, hematoxylin-eosin (HE) staining, terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay, enzyme-linked immunosorbent assay (ELISA), and Western blot analysis were used to investigate the efficacy and mechanism of SXNI in MIRI rats. RESULTS: Eleven core targets and 30 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were selected. Among these, the phosphoinositide 3-kinase (PI3K)/ protein kinase B (AKT) pathway was closely related to SXNI treatment of MIRI. In vivo experiments showed that SXNI reduced the myocardial infarction area in the model group, improved rat heart pathological damage, and reduced the cardiomyocyte apoptosis rate (all P<0.01). After SXNI treatment, the p-PI3K/PI3K and p-AKT/AKT ratios as well as B-cell lymphoma-2 (Bcl-2) protein expression in cardiomyocytes were increased, while the Bax and cleaved caspase 3 protein expression levels were decreased (all P<0.05). LY294002 partially reversed the protective effect of SXNI on MIRI. CONCLUSION: SXNI protects against MIRI by activating the PI3K/AKT signaling pathway.

Bayesian Discriminant Analysis of Yogurt Products Based on Raman Spectroscopy.

BACKGROUND: The quality discrimination of dairy products is an important basis on which to achieve quality assurance. OBJECTIVE: Taking the discriminant analysis of brand yogurt products as an example, a new rapid discriminant method can be constructed. METHOD: The first three principal components were selected as the pattern vectors of the samples. Then, at random, 75% of the samples were collected as a training set, and their mean values and covariance matrices were calculated to construct a Gauss Bayesian discriminant model. The remaining 25% of samples were employed as a test set, and the pattern vectors of each sample were input into the above model. Next, the posterior probability of each sample in relation to each category could be obtained. Results: The category corresponding to the maximum posterior probability as the brand classification of each sample was defined. CONCLUSIONS: We constructed a Gauss Bayesian discriminant model to discriminate these different yogurt products after the principal component feature extraction of Raman properties. The results indicate the rationality and wide application prospects of this approach. HIGHLIGHTS: A fast dairy product discriminant method based on Gauss Bayesian model and Raman spectroscopy was established.

Enhanced Ethanol-Sensing Properties Based on Modified NiO-ZnO p-n Heterojunction Nanotubes.

NiO/ZnO gas-sensing nanotube materials were prepared by electrospinning. The structure and morphology of the samples were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), energydispersive X-ray detection (EDX) and Brunauer-Emmett-Teller (BET) analysis. The template, PAN (peroxyacetyl nitrate) fibers, was completely removed, as evidenced by the EDX results. The final NiO/ZnO composite materials were composed of hexagonal wurtzite ZnO and cubic NiO and exhibited hollow tubular structures. In the composites, p-n heterojunctions were formed at the interface of NiO and ZnO. The results of gas sensitivity tests showed that the incorporation of NiO considerably improved the gas sensitivity of ZnO to ethanol. When the doping ratio was 0.125 mol/mol, the composites exhibited the highest sensitivity to ethanol (100.92 at 300 °C) and showed high selectivity.