[Potentiating effect and mechanism of extract of Jingfang Granules on activation of macrophages].

This study aimed to explore the potentiating effect and mechanism of the extract of Jingfang Granules(JFG) on the activation of macrophages. The RAW264.7 cells were treated with JFG extract and then stimulated by multiple agents. Subsequently, mRNA was extracted, and reverse transcription-polymerase chain reaction(RT-PCR) was used to measure the mRNA transcription of multiple cytokines in RAW264.7 cells. The levels of cytokines in the cell supernatant were detected by enzyme-linked immunosorbent assay(ELISA). In addition, the intracellular proteins were extracted and the activation of signaling pathways was determined by Western blot. The results showed that JFG extract alone could not promote or slightly promote the mRNA transcription of TNF-α, IL-6, IL-1ß, MIP-1α, MCP-1, CCL5, IP-10, and IFN-ß, and significantly enhance the mRNA transcription of these cytokines in RAW264.7 cells induced by R848 and CpG in a dose-dependent manner. Furthermore, JFG extract also potentiated the secretion of TNF-α, IL-6, MCP-1, and IFN-ß by RAW264.7 cells stimulated with R848 and CpG. As revealed by mechanism analysis, JFG extract enhanced the phosphorylation of p38, ERK1/2, IRF3, STAT1, and STAT3 in RAW264.7 cells induced by CpG. The findings of this study indicate that JFG extract can selectively potentiate the activation of macrophages induced by R848 and CpG, which may be attributed to the promotion of the activation of MAPKs, IRF3, and STAT1/3 signaling pathways.

Gut microbiota profiling revealed the regulating effects of salidroside on iron metabolism in diabetic mice.

Background: Diabetes is a common metabolic disease that is associated with gut microbiota dysbiosis and iron metabolism. Salidroside (SAL) is the main ingredient of the traditional Chinese herb Rhodiola, previous studies have shown that SAL could reshape the gut microbiota and limit iron accumulation. Therefore, it is possible that SAL can act as an alternative therapy for diabetes, and its underlying mechanism is worth exploring. Methods: SAL was used to treat diabetic db/db mice. Serum glucose and iron levels and the histopathology of myocardial fibres were evaluated. The gut microbiota composition was determined by 16S rRNA Illumina sequencing technology. Results: Treatment with SAL significantly reduced blood glucose and ameliorated diabetic cardiomyopathy in diabetic db/db mice, which was accompanied by inhibited ferroptosis and iron accumulation. Furthermore, the 16S rRNA sequencing results showed that SAL induced a change in the gut microbiota composition. Overall, SAL could increase the proportion of probiotic bacteria and decrease Lactobacillus to improve gut microbiota. Specifically, SAL increased the ratio of Bacteroidetes to Firmicutes in diabetic mice. The most significant biomarker was the genus Lactobacillus between the MD group and the SAL group. In addition, COG and KEGG analyses suggested that SAL mainly participated in nutrient metabolism, among them iron metabolism was associated with the abundance of Lactobacillus. Conclusions: SAL could reduce the glucose level and protect against diabetic cardiomyopathy in diabetic mice, which might be mediated by the change in the gut microbiota and the regulation of iron metabolism. The findings suggested that SAL was a promising complementary option for diabetes therapy.

Key regulatory genes and signaling pathways involved in islet culture: a bioinformatic analysis.

Type 1 diabetes (T1D) is characterized by non-ideal mass and low survival rate of islets. Therefore, it is necessary to find intrinsic factors that prolong the survival of islets. This study aimed to track out hub genes and pathways in the process of islet culture by bioinformatic analysis. We downloaded the gene expression microarray of GSE42591 from the Gene Expression Omnibus (GEO). Aberrant Differentially methylated genes (DMGs) were obtained using the GEO2R tool. Gene ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment analyses were performed on selected genes by using the Database for Annotation Visualization and Integrated Discovery (DAVID). A protein-protein interaction (PPI) network was constructed with the Retrieval of Interacting Genes (STRING) and visualized in Cytoscape 3.7.2. A total of 434 genes were overexpressed and 114 genes underexpressed in fresh to cultured 4 h tissue. KEGG pathway enrichment analyses revealed the TGF-beta signaling pathway, MAPK signaling pathway, or VEGF signaling pathway. The genes FN1, MKI67, IGF1, MAPK14, COL1A1 might be involved in islet culture. In general, this work scrutinized islet culture-relevant knowledge and provided insight into the regulation and mediation of islet survival.