Nissenhu4043

These results suggested that the bidirectional interaction of nobiletin and gut microbiota played an important role on the anti-obesity effect of nobiletin.The global health emergency generated by coronavirus disease-2019 has prompted the search for immunomodulatory agents. There are many potential natural products for drug discovery and development to tackle this disease. One of these candidates is the Ganoderma lucidum fungal immunomodulatory protein (FIP-glu). In the present study, we clarify the influences of N-linked glycans on the improvement of anti-inflammatory activity and the potential mechanisms of action. Four proteins, including FIP-glu (WT) and its mutants N31S, T36N and N31S/T36N, were successfully expressed in P. pastoris, of which T36N and N31S/T36N were glycoproteins. After treatment with peptide-N-glycosidase F, the results of SDS-PAGE and Western blot showed that the glycan moiety was removed completely, indicating that the glycan moiety was N-linked. This was also demonstrated by UPLC-qTOF-MS. The cytotoxicity assay showed that N-linked glycans decreased the cytotoxicity of WT; while, the RT-qPCR assay showed that N-glycosylated WT regulated the mRNA expression of IL-6 and TGF-β1. The Western blot results showed that N-glycosylated WT reduced the phosphorylation level of p38 MAPK. In conclusion, our findings revealed a novel mechanism by which N-glycosylation of FIP-glu improved its anti-inflammatory activity through the regulation of the expression of inflammatory cytokines in RAW264.7 via inhibition of p38 MAPK phosphorylation. It was proved that N-glycosylation significantly improved the functional properties of FIP-glu, providing theoretical and technical support for expanding the application of FIPs in the food and pharmaceutical industries.Oat has procured its acclaim as a health promoting food partially due to its positive effect on glucose control. It has been demonstrated that oat β-glucan can interfere with postprandial glucose response. A large majority of this action is attributed to the increase in viscosity due to the β-glucan content in oat foods. While it is known that an increase in viscosity due to higher molecular weight of β-glucan can improve its glycemic effects, it is not known if an increase in viscosity attained by processing variables can further enhance the positive effect of oat on glucose control. In the current study we have examined the effect of kilning, tempering, microwaving, cooking, soaking and flaking on oat β-glucan viscosity. An acute randomized crossover clinical trial was also conducted to test oatmeal products containing low, medium and high β-glucan viscosity for their effect on postprandial glycemic response. Results from the processing experiments demonstrate that kilned samples, when tempered to 25% moisture and microwaved for 2 minutes, can produce much higher final viscosity compared to other samples with similar β-glucan content, molecular weight and solubility. However, results from the clinical trial show that the increase in the viscosity of the oat β-glucan attained through processing in this study did not have any effect on postprandial glucose control.A bilayer hexagonal wheel Sn18-oxo cluster, as the largest tin-oxo wheel to date, was successfully constructed by structural directing of organic ligands. Moreover, the ligands show important effects on the electronic structure and third-order nonlinear optical properties of the Sn18-oxo wheel, which is demonstrated by detailed theoretical calculations.Food industries are challenged to reformulate foods and beverages with higher protein contents to lower fat and sugar content. However, increasing protein concentration can reduce sensory acceptability due to astringency perception. Since the properties of food-saliva mixtures govern mouthfeel perception, understanding how saliva and protein interact is key to guide development of future protein-rich reformulations with optimal sensory attributes. Hence, this systematic review investigated protein-saliva interaction using both model and real human saliva, including a quality assessment. A literature search of five databases (Medline, Pubmed, Embase, Scopus and Web of Science) was undertaken covering the last 20 years, yielding 36 604 articles. Using pre-defined criteria, this was reduced to a set of 33 articles with bulk protein solutions (n = 17), protein-stabilized emulsions (n = 13) and protein-rich food systems (n = 4). Interaction of dairy proteins, lysozyme and gelatine with model or human saliva dominated the literature. The pH was shown to have a strong effect on electrostatic interaction of proteins with negatively-charged salivary mucins, with greater interactions occurring below the isoelectric point of proteins. The effect of protein concentration was unclear due to the limited range of concentrations being studied. Most studies employed a 1  1 w/w protein  saliva ratio, which is not representative of true oral conditions. The interaction between protein and saliva appears to affect mouthfeel through aggregation and increased friction. The searches identified a gap in research on plant proteins. Accurate simulation of in vivo oral conditions should clarify understanding of protein-saliva interaction and its influence on sensory perception.We aimed to study the effect of consuming an alcohol-free beer with modified carbohydrates composition (almost completely eliminating maltose and adding isomaltulose (16.5 g day-1) and resistant maltodextrin (5.28 g day-1)) in gut microbiome, compared to regular alcohol-free beer in subjects with T2DM or prediabetes and overweight/obesity. This is a pilot, randomized, double-blinded, crossover study including a sub-sample of a global study with 14 subjects (a) consuming 66 cl day-1 of regular alcohol-free beer for the first 10 weeks and 66 cl day-1 of modified alcohol-free beer for the next 10 weeks; (b) the same described intervention in opposite order. BMI homogeneously decreased after both interventions. see more Glucose and HOMA-IR significantly decreased just after the participants consumed modified alcohol-free beer. These findings were in the same line as those reported in the global study. Dominant bacteria at baseline were Bacteroidetes, Firmicutes, Proteobacteria and Tenericutes. Parabacteroides, from the Porphymonadaceae family, resulted as the feature with the greatest difference between beers (ANCOM analysis, W = 15).