OBJECTIVE:To interpret the record of set prescription preparations containing Panax ginseng in 2015 edition of Chinese Pharmacopoeia (part Ⅰ),and to provide reference for the future research and new drug development of P ginseng.METHODS:The set prescription preparations containing P.ginseng in 2015 edition of Chinese Pharmacopoeia (part Ⅰ) were collected to classify and analyze the selection,dosage form,preparation method,functions of curing and precautions,etc.RESULTS & CONCLUSIONS:In 2015 edition of Chinese Pharmacopoeia (part Ⅰ),there were 116 kinds of set prescription preparations containing P.ginseng,P ginseng and Radix Ginseng Rubm were the mainly selected,and combined with other Ginseng.The ingredients of set prescription preparations were mainly below fifteen ingredients;dosage forms were mainly pills (34 kinds) and capsules (28 kinds);oral administration was used as the main usage (114 kinds);main preparation method was that P ginseng was smashed into fine powder and used directly as medicine (68 kinds);the functions of curing included tonifying qi-blood,nourishing yin and tonifying kidney,clearing heat and resolving phlegm,nourishing lung and nourishing heart.In the future research,researchers will explore other effects of P.ginseng or P.ginseng combined with other drugs,and develop new drugs containing P.ginseng according to set prescription preparations containing P.ginseng in 2015 edition of Chinese Pharmacopoeia (part Ⅰ).

Objective: To analyze non-alcoholic steatohepatitis (NASH)-related differentially expressed genes (DEGs) by bioinformatics methods to find key pathways and potential therapeutic targets for NASH. Methods: GSE61260 chip was downloaded from the public microarray database and liver biopsy samples from 24 NASH cases and 38 healthy controls were included. The Limma software package in R language was used to screen DEGs under the condition of difference multiple > 1.5 and adj. P < 0.05. The clusterProfiler software package was used for GO analysis and KEGG analysis. The STRING online database was used for protein-protein interaction analysis, and the L1000 and DrugBank databases were used for drug prediction. Results: Compared with healthy control group, 857 DEGs were screened out in NASH group including 167 up-regulated genes and 690 down-regulated genes. GO analysis showed that DEGs were mainly involved in inflammation and cholesterol metabolism. KEGG analysis showed that DEGs were mainly enriched in PPAR, non-alcoholic fatty liver disease, oxidative phosphorylation and other signaling pathways. Among them, eight genes of ACSL4, CYP7A1, FABP4, FABP5, lipoprotein lipase, ME1, OLR1 and PLIN1 were enriched in PPAR signaling pathway, and 165 interaction nodes were formed with 47 DEGs-encoded proteins. Lipoprotein lipase interacted with 21 DEGs, and its up-regulated expression had improved lipid metabolism, insulin resistance and anti-inflammatory effects. Four drugs (gemfibrozil, bezafibrate, omega-3 carboxylic acid and glycyrrhizic acid) were screened by L1000 and DrugBank to activate lipoprotein lipase. Presently, these four drugs are clinically used to treat hypertriglyceridemia or to improve inflammation. In this regard, we speculated that the pharmacological effects of these four drugs had improved NASH by activating lipoprotein lipase to promote liver lipid metabolism and alleviate inflammation. Conclusion PPAR signaling pathway is closely associated to the occurrence and development of NASH, and thereby lipoprotein lipase agonist is a new attempt to treat NASH.

Objective: To investigate the effects of interferon inducible protein 16 (IFI16), a cytosolic DNA sensor, on the expression of human T-cell leukemia virus type 1 (HTLV-1) proteins and pro-inflammatory cytokines in adult HTLV-1-positive T cells. Methods: IFI16 expression in different HTLV-1-positive T cell lines was detected by immunoblot assay. Specific siRNA targeting the IFI16 gene was constructed and the gene silencing efficiency was detected by immunoblot assay. Expression of HTLV-1 Tax protein at mRNA and protein levels was respectively detected by real-time PCR and immunoblot assay after knocking down the expression of IFI16 in HTLV-1-positive T cells with siRNA. Expression of interferon (IFN)-α, IFN-γ, tumor necrosis factor (TNF)-α, Tax and Env were detected by real-time PCR. Results: Compared with the HTLV-1-negative T cell line Jurkat, IFI16 expression was enhanced in the HTLV-1-positive T cell lines MT2, MT4 and C8166. Tax expression was increased, while that of IFN-α, IFN-γ and TNF-α was decreased in MT2 and MT4 cells after silencing the expression of IFI16 with siRNA. Conclusions IFI16 expression was increased in HTLV-1-positive MT2 and MT4 cells. Meanwhile, IFI16 promoted the production of interferon and pro-inflammatory cytokines and inhibited the expression of HTLV-1 proteins.