A combination of four effective components derived from Sheng-mai san attenuates hydrogen peroxide-induced injury in PC12 cells through inhibiting Akt and MAPK signaling pathways / 中国天然药物

The present study was designed to investigate whether a combination of four effective components derived from Sheng-mai san (SMXZF; ginsenoside Rb1: ginsenoside Rg1: DT-13: Schizandrol A as 6 : 9 : 4 : 5) could attenuate hydrogen peroxide (H2O2)-induced injury in PC12 cells, focusing on the Akt and MAPK pathways . The PC12 cells were exposed to H2O2 (400 μmol·L(-1)) for 1 h in the presence or absence of SMXZF pre-treatment for 24 h. Cell viability was measured by MTT assay. The efflux of lactate dehydrogenase (LDH), the intracellular content of malondialdehyde (MDA), the activities of superoxide dismutase (SOD), and caspase-3 were also determined. Cell apoptosis was measured by Hoechst 33342 staining and Annexin V-FITC/PI staining method. The expression of Bcl-2, Bax, cleaved caspase-3, Akt, and MAPKs were detected by Western blotting analyses. SMXZF pretreatment significantly increased the cell viability and SOD activity and improved the cell morphological changes, while reduced the levels of LDH and MDA at the concentrations of 0.1, 1 and 10 μg·mL(-1). SMXZF also inhibited H2O2-induced apoptosis in PC12 cells. Moreover, SMXZF reduced the activity of caspase-3, up-regulated the protein ratio of Bcl-2 and Bax and inhibited the expression of cleaved caspase-3, p-Akt, p-p38, p-JNK and p-ERK1/2 in H2O2-induced PC12 cells. Co-incubation of Akt inhibitor or p38 inhibitor partly attenuated the protection of SMXZF against H2O2-injured PC12 cells. In conclusion, our findings suggested that SMXZF attenuated H2O2-induced injury in PC12 cells by inhibiting Akt and MAPKs signaling pathways, which might shed insights on its neuroprotective mechanism.

Study on action mechanism of Danhong injection based on computational system biology approach / 中国中药杂志

Danhong injection is a compound preparation of traditional Chinese medicine Salvia miltiorrhiza and Carthamus tinctorius, and has been widely applied in treating coronary heart diseases and ischemic encephalopathy in clinic. Despite the complexity of its chemical compounds and the diversity of targets, especially in system biology, there have not a report for its action mechanism as a whole regulatory biological network. In this study, protein data of S. miltiorrhiza and C. tinctorius were searched in TCMGeneDIT database and agilent literature search (ALS) system to establish the multi-component protein network of S. miltiorrhiza, C. tinctorius and Danhong injection. Besides, the protein interaction network was built based on the protein-protein interaction in Genecards, BIND, BioGRID, IntAct, MINT and other databases. According to the findings, 10 compounds of S. miltiorrhiza and 14 compounds of C. tinctorius were correlated with proteins. The 24 common compounds had interactions with 81 proteins, and formed a protein interaction network with 60 none-isolated nodes. The Cluster ONE module was applied to make an enrichment analysis on the protein interaction network and extract one sub-network with significant difference P <0.05. The sub-network contains 23 key proteins, which involved five signaling pathways, namely Nod-like receptor signaling pathway, epithelial cell signaling in helicobacter pylori infection, Toll-like receptor signaling pathway, RIG-I-like receptor signaling pathway and neurotrophin signaling pathway through KEGG signaling pathway mapping. In this study, the computational system biology approach was adopted to preliminarily explain the molecular mechanism of main compounds of Danhong injection in preventing and treating diseases and provide reference for systematic studies on traditional Chinese medicine compounds.

Network pharmacology-based prediction and verification of the molecular targets and pathways for schisandrin against cerebrovascular disease / 中国天然药物

AIM@#To illuminate the molecular targets for schisandrin against cerebrovascular disease based on the combined methods of network pharmacology prediction and experimental verification.@*METHOD@#A protein database was established through constructing the drug-protein network from literature mining data. The protein-protein network was built through an in-depth exploration of the relationships between the proteins. The computational platform was implemented to predict and extract the sensitive sub-network with significant P-values from the protein-protein network. Then the key targets and pathways were identified from the sensitive sub-network. The most related targets and pathways were also confirmed in hydrogen peroxide (H2O2)-induced PC12 cells by Western blotting.@*RESULTS@#Twelve differentially expressed proteins (gene names: NFKB1, RELA, TNFSF10, MAPK1, CHUK, CASP8, PIGS2, MAPK14, CREB1, IFNG, APP, and BCL2) were confirmed as the central nodes of the interaction network (45 nodes, 93 edges). The NF-κB signaling pathway was suggested as the most related pathway of schisandrin for cerebrovascular disease. Furthermore, schisandrin was found to suppress the expression and phosphorylation of IKKα, as well as p50 and p65 induced by H2O2 in PC12 cells by Western blotting.@*CONCLUSION@#The computational platform that integrates literature mining data, protein-protein interactions, sensitive sub-network, and pathway results in identification of the NF-κB signaling pathway as the key targets and pathways for schisandrin.

Class Ⅱa Bacteriocins:Biosynthesis, Structure and Activity / 微生物学通报

Class Ⅱa bacteriocins can be considered as the major subgroup of bacteriocins from lactic acid bacteria, not only because of their large number, but also because of their activities and potential applications. They have first attracted particular attention as listericidal compounds and are now believed to be the next in line if more bacteriocins are to be approved in the future. The present review attempts to provide an insight into general knowledge available for class Ⅱa bacteriocins and discuss common features and recent findings concerning these substances.

Optimization of Bacteriocin Produced by Lactobacillus pentosus 31-1 / 微生物学通报

To optimize bacteriocin production,researching was done on the respect of incubation condition and the media components. And the optimum incubation time was 24h, the optimum temperature was 30℃, the optimum broth initial pH was 6.5. The optimum media component was: lactose 30g, trypone 15g, soybean peptone 20g, meat extract 30g, peptonethe 20g, Tween 80 1mL, K_(2)HPO_(4 )2g, NaAc 5g, Tri-Ammonium citrate 2g, (MgSO_(4)) 0.58g, MnSO_(4) 0.25g, H_(2)O 1000mL. Production of bactericoin under the optimum broth was 640AU/mL, 8 times than MRS media.