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Aim To explore whether sea-buckthorn slows down-regulation of hepatic cytochrome P450 2C(CYP 2C)in mice with liver injury by BCG vaccine(BCG)-induced via PXR/NF-κB pathway.Methods The mouse model of liver injury was induced by a single tail vein injection of BCG 125 mg·kg-1 for hepatitis B research,and the mice were randomly di-vided into control group,BCG group,BCG+sea-buckthorn granules(SG)group(gavage 50,100,200 mg·kg-1,twice a day),BCG+PCN group(intraper-itoneal injection 100 mg·kg-1,once a day).The levels of serum transaminase and TNF-α and IL-1β in liver tissue were detected by ELISA.The nuclear pro-tein expression NF-κB p65 and the total protein expres-sion of pregnane X receptor(PXR),CYP2C in liver were detected by Western blot.Liver pathological changes were observed by HE staining.Results Sea-buckthorn inhibited overexpression of TNF-α,IL-1βand NF-κB p65,alleviated the down-regulation of CYP2C and PXR protein expression,and improved liv-er pathology and serum transaminase in a dose-depend-ent manner.After intervention with PCN,a mouse specific agonist of PXR,it was similar to the high dose group of SG.Conclusion Sea-buckthorn slows down-regulation of CYP2C in mice with liver injury by BCG-induced via PXR/NF-κB pathway.

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Objective·To explore the molecular classification and prognostic prediction of gastric cancer based on nonnegative matrix factorization (NMF).Methods·Cases of gastric cancer were acquired from Gene Expression Omnibus (GEO). Expression profiling of lncRNA was performed by using a lncRNA-mining approach. NMF model was built with Consensus Cluster Plus package. The relationship among NMF subgroups and clinical relevance was assessed. Results·According to the molecular classification based on NMF, samples were divided into three subgroups. Significant difference was observed in relapse state, lymph node ratio, Lauren classification, TNM stage and age of onset among three subgroups. High-risk group was identified with shortest relapse time by survival analysis both in GSE62254 and GSE15459. Multivariate Cox proportional-hazards regression showed that NMF model based molecular classfication could be regarded as an independent risk factor for gastric cancer. Gene set variance analysis (GSVA) and gene set enrichment analysis (GSEA) showed that the high-risk subgroup was enriched in several tumor development pathways. Conclusion·Based on NMF model, the molecular classification of gastric cancer can be used for treatment decision and prognostic prediction.

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Objective·To explore the molecular classification and prognostic prediction of gastric cancer based on nonnegative matrix factorization (NMF).Methods·Cases of gastric cancer were acquired from Gene Expression Omnibus (GEO). Expression profiling of lncRNA was performed by using a lncRNA-mining approach. NMF model was built with Consensus Cluster Plus package. The relationship among NMF subgroups and clinical relevance was assessed. Results·According to the molecular classification based on NMF, samples were divided into three subgroups. Significant difference was observed in relapse state, lymph node ratio, Lauren classification, TNM stage and age of onset among three subgroups. High-risk group was identified with shortest relapse time by survival analysis both in GSE62254 and GSE15459. Multivariate Cox proportional-hazards regression showed that NMF model based molecular classfication could be regarded as an independent risk factor for gastric cancer. Gene set variance analysis (GSVA) and gene set enrichment analysis (GSEA) showed that the high-risk subgroup was enriched in several tumor development pathways. Conclusion·Based on NMF model, the molecular classification of gastric cancer can be used for treatment decision and prognostic prediction.

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Apoptotic mechanism of Pathogenic fungi has become a focus of study due to the worsening situation of clinical drug resistance in fungi. Apoptosis of Pathogenic fungi is a complicated network involving many pathways, regulators and effectors. Besides, it is closely related to the autophagy, mitochondrial apoptotic pathways, and changes of endogenous and exogenous factors. As a new target of antifungal agent, apoptotic pathways are of great clinical importance. This paper reviews the apoptotic pathways of Pathogenic fungi.

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<p><b>AIM</b>To observe the role of nitric oxide in dorsal root ganglion (DRG) neurons and its related ionic mechanisms, and explore the function of NO in pain transmission process.</p><p><b>METHODS</b>In freshly isolated rat DRG samples, using intracellular recording technique, we perfused sodium nitroprusside (NO donor) to observe the role of NO in DRG neurons.</p><p><b>RESULTS</b>In 77.45% of the bath cells, application of sodium nitroprusside (10 -100 mmol/L) induced concentration-dependent membrane hyperpolarization (79/102), and remaining neurons had no response. The membrane conductance increased from control value of (21.06 +/- 1.94) nS to (23.08 +/- 0.92) nS during sodium nitroprusside induced hyperpolarization. L-NAME (1 mmol/L), CdCl2 (0.1 mmol/L) and non-sodium BSS failed to change the amplitude of sodium nitroprusside induced hyperpolarization. When BSS containing 10 mmol/L TEA was used, sodium nitroprusside induced hyperpolarization was obviously inhibited.</p><p><b>CONCLUSION</b>Sodium nitroprusside could cause concentration-dependent hyperpolarization in DRG neurons by activating K+ channels.</p>

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Microbial metabolomics is a subject that chiefly studying all the low molecular weight metabolites in an organism or cells during their growing process. The progress of analytical technology promotes microbial metabolomics to make advancement. In this paper, the commonly used analytical technology, sample preparation and its application were discussed and the prospects of the analytical methods were also discussed.