Anti-viral actions and viral dynamics in the early phase of three different regimens of interferon treatment for chronic hepatitis C: differences between the twice-daily administration of interferon-beta treatment and the combination therapy with interferon-alpha plus ribavirin.

To improve the efficacy of interferon (IFN) treatment for chronic hepatitis C, we have proposed the twice-daily administration of IFN-beta as a promising induction therapy. In this study, we demonstrated differences between the clearance of circulating HCV-RNA and the induction of anti-viral actions during the first 2 weeks of treatment. Nine patients with a high viral load and genotype 1b were randomly assigned to 3 groups: group A received 3MU of IFN-beta twice a day at intervals of 5 and 19 h; group B received 3MU of IFN-beta twice a day at intervals of 10 and 14 h; group C received 6MU of IFN-alpha once a day with ribavirin. The expression of OAS2, PKR, and MxA in peripheral blood mononuclear cells (PBMCs) were quantified by real-time polymerase chain reaction method. The viral clearance showed a bi-phasic pattern, and those in the second phase of groups A and B were significantly steeper than that of group C. The peak level of OAS2 during the first phase was correlated with the first phase decay. The MxA expression tended to be higher in group A and B than in group C. The expression of these 3 proteins tended to decrease at day 6 in group C, but increase in groups A and B. These might make differences in the viral decay during the second phase</p

From Hydrophilicity to Hydrophobicity: A Critical Review—Part II: Hydrophobic Conversion

This review consists of two parts. Part I considered the hydrophilic nature and wettability of the surface of wood, including wetting theories, surface tension, surface topography, and surface contamination of wood. Part II focuses on chemical transformation of the surface of wood from hydrophilic to hydrophobic. Literature concerning acetylation, metal oxide treatment, sol-gel process, modification with chlorosilanes, grafting of polymers, microemulsion, layer-by-layer deposition, and plasma treatment are discussed. Conventional methods such as acetylation, metal oxide treatment, sol-gel process, and microemulsion can only reduce and/or delay water and moisture sorption. Recent increasing interest in nanotechnology provides new opportunities and perspectives on hydrophobic transformation of the wood surface

UPLC-Q-TOF/MS Based Plasma Metabolomics for Identification of Paeonol’s Metabolic Target in Endometriosis

Endometriosis is a common gynecological illness in women of reproductive age that significantly decreases life quality and fertility. Paeonol has been shown to play an important part in endometriosis treatments. Understanding the mechanism is critical for treating endometriosis. In this study, autologous transplantation combined with a 28 day ice water bath was used to create a rat model of endometriosis with cold clotting and blood stagnation. The levels of estradiol and progesterone in plasma were detected by ELISA, and the pathological changes of ectopic endometrial tissue were examined by H&E staining, which proved the efficacy of paeonol. For metabolomic analysis of plasma samples, UPLC-Q/TOF-MS was combined with multivariate statistical analysis to identify the influence of paeonol on small molecule metabolites relevant to endometriosis. Finally, the key targets were screened using a combination of network pharmacology and molecular docking approaches. The results showed that the pathological indexes of rats were improved and returned to normal levels after treatment with paeonol, which was the basis for confirming the efficacy of paeonol. Metabolomics results identified 13 potential biomarkers, and paeonol callbacks 7 of them, involving six metabolic pathways. Finally, four key genes were found for paeonol therapy of endometriosis, and the results of molecular docking revealed a significant interaction between paeonol and the four key genes. This study was successful in establishing a rat model of endometriosis with cold coagulation and blood stagnation. GCH1, RPL8, PKLR, and MAOA were the key targets of paeonol in the treatment of endometriosis. It is also demonstrated that metabolomic techniques give the potential and environment for comprehensively understanding drug onset processes

Fecal metabolomics combined with 16S rRNA gene sequencing to analyze the effect of Jiaotai pill intervention in type 2 diabetes mellitus rats

The occurrence and development of type 2 diabetes mellitus (T2DM) are closely related to gut microbiota. Jiaotai pill (JTP) is used to treat type 2 diabetes mellitus, with definite efficacy in clinical practice. However, it is not clear whether the therapeutic effect is produced by regulating the changes in gut microbiota and its metabolism. In this study, T2DM rat models were established by a high-fat diet and low-dose streptozotocin (STZ). Based on the pharmacodynamic evaluation, the mechanism of JTP in the treatment of type 2 diabetes mellitus was investigated by fecal metabolism and 16S rRNA gene sequencing. The results showed that JTP decreased blood glucose (FBG, HbA1c) and blood lipid (TC, TG, and LDL) levels and alleviated insulin resistance (FINS, IL-10) in T2DM rats. 16S rRNA gene sequencing results revealed that JTP increased microbiota diversity and reversed the disorder of gut microbiota in T2DM rats, and therefore achieved the therapeutic effect in T2DM. JTP regulated 13 differential flora, which were Actinobacteria, Bacteroidetes, Firmicutes, Proteobacteria, Eubacteriaceae, Prevotellaceae, Ruminococcaceae, Clostridium_IV, Clostridium_XlVa, Eubacterium, Fusicatenibacter, Romboutsia, and Roseburia. Metabolomics analysis showed that JTP interfered with 13 biomarkers to play a therapeutic role in type 2 diabetes mellitus. They were L-Valine, Choline, L-Aspartic acid, Serotonin, L-Lysine, L-Histidine, 3-Hydroxybutyric acid, Pyruvic acid, N-Acetylornithine, Arachidonic acid, L-Tryptophan, L-Alanine, and L-Methionine. KEGG metabolic pathway analysis of the above differential metabolites and gut microbiota by using the MetaboAnalyst database and Picrust software. It was found that JTP treated type 2 diabetes mellitus by affecting metabolic pathways such as amino acid metabolism, carbohydrate metabolism, and lipid metabolism. Spearman correlation analysis revealed high correlations for 7 pharmacological indicators, 12 biomarkers, and 11 gut microbiota. In this study, the therapeutic effect and potential mechanism of JTP on type 2 diabetes mellitus were preliminarily demonstrated by gut microbiota and metabolomics, which could provide a theoretical basis for the treatment of T2DM with JTP