Exosomal circular RNA (circRNAs) are pivotal in cancer biology, and tumor pathophysiology. These stable, non-coding RNAs encapsulated in exosomes participated in cancer progression, tumor growth, metastasis, drug sensitivity and the tumor microenvironment (TME). Their presence in bodily fluids positions them as potential non-invasive biomarkers, revealing the molecular dynamics of cancers. Research in exosomal circRNAs is reshaping our understanding of neoplastic intercellular communication. Exploiting the natural properties of exosomes for targeted drug delivery and disrupting circRNA-mediated pro-tumorigenic signaling can develop new treatment modalities. Therefore, ongoing exploration of exosomal circRNAs in cancer research is poised to revolutionize clinical management of cancer. This emerging field offers hope for significant breakthroughs in cancer care. This review underscores the critical role of exosomal circRNAs in cancer biology and drug resistance, highlighting their potential as non-invasive biomarkers and therapeutic targets that could transform the clinical management of cancer.

ObjectiveTo investigate the mechanism of action of Sini powder in the treatment of liver cancer based on network pharmacology and molecular docking. MethodsTraditional Chinese Medicine Systems Pharmacology Database and Analysis Platform was used to obtain the compound and target of Sini powder, and the corresponding gene Symbol was obtained through Uniprot. The disease genes of liver cancer were obtained from Human Genome Database, and the genes with intersection with the target genes of Sini powder were screened out. Cytoscape3.7.1 software was used to draw the map of “traditional Chinese medicine (TCM)-compound-target” network. STRING was used to construct a protein-protein interaction (PPI) network, R studio software was used to conduct gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses on therapeutic targets, and then the results were visualized. The active component with the highest number of targets was selected as the ligand, and the target with the highest degree in the PPI network was selected as the receptor, so as to predict the structure of receptor-ligand complex and the amino acid residues that bind to each other. ResultsIn this study, 91 core targets and 141 relevant active components of Sini powder were screened out, among which quercetin and kaempferol were the main active components in the treatment of liver cancer. TP53 and HSP90AA1 were the main therapeutic targets. The GO enrichment analysis obtained 1007 items which met the screening criteria, which were mainly involved in the biological processes of antioxidation reaction, activity regulation of protein serine and threonine kinase, and cellular stress response. The KEGG enrichment analysis obtained 102 pathways, which mainly regulated the hepatitis B pathway and the PI3K-Akt signaling pathway in the prevention and treatment of liver cancer. The results of molecular docking showed a synergistic antitumor effect between the crystal structure domains VAL147, CYS220, GLU221, and PRO222 of quercetin-TP53. ConclusionThis study reveals the mechanism of action of Sini powder in the treatment of liver cancer by acting on multiple targets and signaling pathways, which provides a theoretical basis for biological experiments.

OBJECTIVE： To investigate the potential pharmacological mechanism of the seed of Draba nemorosa， and to provide reference for further development， utilization and clinical application. METHODS： Effective components and related target proteins of D. nemorosa were screened and identified by using TCMSP and STRING database. Cytoscape 3.7.0 software was used to construct a visual network of effective components and target proteins for the seed of D. nemorosa， and the network topology analysis was performed. The targeting protein-protein interaction （PPI） network was constructed and analyzed by STRING database and Cytoscape 3.7.0 software. KEGG pathway enrichment of target proteins was analyzed by DAVID bioinformatics resource database. RESULTS： A total of 9 effective components were screened from the seed of D. nemorosa， including quercetin， kaempferol， β-sitosterol， etc. Totally 174 target proteins were obtained， mainly including PTGS2， NCOA2， PGR， etc. Among them， JUN and MAPK1 were core proteins in PPI network. KEGG enrichment pathway included PI3K/Akt signaling pathway， TNF-α signaling pathway， HIF-1 signaling pathway， Toll-like receptor signaling pathway and thyroid hormone signal pathway， etc. CONCLUSIONS： Effective components from the seed of D. nemorosa such as quercetin， kaempferol and β-sitosterol may act on PTGS2， JUN and MAPK1 target proteins through PI3K-Akt signaling pathway and TNF-α signaling pathway， thus exert the effects of purging lung， relieving asthma， promoting edema and reducing edema.

Objective To investigate the prevalence rates of diabetes and pre-diabetes among migrating population in Inner Mongolia.Methods Using stratified cluster sampling on different industries.Each industry would have the same sample size.Questionnaire survey was performed together with anthropometric data gathered and laboratory tests completed.Results The prevalence rates of diabetes and impaired glucose regulation (IGR) among the migrating population in Inner Mongolia were 12.5％ and 12.8％ with the age-standardized rate as 9.9％ and 9.9％.The prevalence of diabetes increased significantly along with the increase of age among both males and females (x2=11.162,P=0.001),but was significantly higher in males.The prevalence of IGR in females was significantly higher than in males.The prevalence of diabetes among the construction industry workers was 19.2％,which was the highest among all the industries.The prevalence of diabetes was higher in the inter-province pre-migrating group,while the prevalence of IGR was increasing along with the duration of migration in the intra-province migration group with the trend as x2=9.989,P=0.002.Conclusion The prevalence of diabetes among the migrating population in Inner Mongolia seemed to be high,close to the level of urban residents.The prevalence rates of diabetes in the population of middle-aged and aged population as well as workers at the construction industry were higher than that in the other populations.The prevalence of diabetes and IGR among the migration population were related to the area where the migration population the in-coming areas Inter-provincial migration had a higher contribution to the prevalence of diabetes.

Objective To establish a stable and efficient method of culturing imDCs in vitro,and to explore the effect of GW5074, which blocks ERK1/2 signal pathway in the process of imnature dentritic cells (imDCs) on inducing differentiation of the na(i)ve allogeneic CD4+ T cells into Treg cells in vitro. Methods The imDCs and mature DCs (mDCs) were isolated and cultured from the peripheral blood mononuclear cells (PBMC) derived from a healthy adult male volunteer, and they were identified by cell morphology, cell surface marker and cell functions respectively. Na(i)ve CD4+ T cells were isolated from newborn umbilical vein blood and were divided into 5 groups to be cultured: (1) Blank control group: Na(i)ve CD4+ T cells were cultured alone;(2) Positive control group: The irrDCs were Middle-concentration GW5074 group;(5) High-concentration GW5074 group. In the last three groups, imDCs and na(i)ve CD4+ T cells were co-cultured, the same as the positive control group, but these groups were added by GW5074 dilution at the concentrations of 8, 24, and 40μmol/Lrespectively. After co-culture for 5 days, the transformation ratio from naive CD4+T cells to Treg T cells was detected by flow cytometry. Results On the surface of imDCs, there was stronger pression of CD1a, but weaker expression of CD80 and CD83. On the contrary, on the surface of mDCs, there was weaker expression of CD1a, but stronger expression of CD80 and CD83. The stimulation index in imDCs group and mDCs group was 1.12±0.03 and 2.85±0. 07 respectively. The transformation ratio of Treg T cells in blank control group, positive control group, low-concentration GW5074 group, middle-concentration GW5074 group and high-concentration GW5074 group was (5. 81±1.36)%, (35.73±2.07)%, (22.53±2.11)%, (11.55±1.73)%, and (4.97±1.83)%respectively. One-way ANOVA analysis revealed that there was no significant difference between high-concentration GW5074 group and blank control group, P＞0. 05, but significant difference between the remaining groups, P＜0.01. Conclusion High purity of imDCs can be obtained from PBMC by induction with rhGM-CSF and rhIL-4. ERK1/2 signal pathway plays a role in inducing the immune tolerance. GW5074 can inhibit differentiation of na(i)ve CD4+ T cells into Treg T cells.