Objective To explore the role and mechanism of RNA m6A methyltransferase Wilms'tumor 1-associated protein(WTAP)in epithelial-mesenchymal transition(EMT)of glioblastoma cells and its association with transcription factor JUNB.Methods(1)Based on the Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)databases,the expression levels of transforming growth factor β(TGF-β),WTAP,and JUNB in glioblastoma multiforme(GBM)and normal brain tissues were analyzed,as well as their diagnostic and prognostic values for GBM.The correlation of TGF-β,WTAP,and JUNB with gliomas of different WHO grades was analyzed using the Chinese Glioma Genome Atlas(CGGA)database.Spearman correlation analysis was performed to assess the correlation between TGF-β and m6A methyltransferases.(2)An EMT model was established in human astrocytoma U87-MG cells through TGF-β1 induction.qRT-PCR and Western blotting were employed to detect the expression levels of WTAP,JUNB,matrix metalloproteinase 2(MMP2),and N-cadherin.The migration capacity of U87-MG cells was evaluated by wound-healing and Transwell assays.An m6A RNA methylation quantification kit(colorimetric)was used to detect RNA m6A methylation modification levels.A stable cell line with low expression of WTAP was constructed to investigate the effects of WTAP knockdown on the migration ability of U87-MG cells,as well as the expression of JUNB.(3)A protein-protein interaction network was constructed using STRING database and GeneMANIA database,followed by gene ontology(GO)and KEGG pathway enrichment analyses to explore the biological processes,molecular functions,cellular components,and signaling pathways potentially involved in TGF-β/WTAP/JUNB.Gene set enrichment analysis(GSEA)was performed on JUNB-related genes to investigate their potential downstream signaling pathways.Results(1)The expression levels of TGF-β,WTAP,and JUNB were significantly higher in GBM(P<0.001),positively correlated with WHO grades of glioma(P<0.001).Glioma patients with high expression of all three genes had shorter overall and disease-free survival(P<0.001).Spearman analysis showed that the expression of TGF-β in GBM was positively correlated with WTAP(r=0.175,P=0.023),but no significant correlation with other m6A methyltransferases(P>0.05).(2)After TGF-β1 treatment,the level of m6A methylation modification of total RNA in U87-MG cells significantly increased(P<0.001).Wound-healing assay and Transwell assay results showed that the migration ability of U87-MG cells was significantly increased after TGF-β1 treatment(P<0.01),while WTAP knockdown significantly reduced the migration ability of U87-MG cells(P<0.01).qRT-PCR and Western blotting results showed that the mRNA and protein expression levels of WTAP,N-Cadherin,MMP2,and JUNB in U87-MG cells were significantly increased after 48 h of TGF-β1 induction(P<0.001),while WTAP knockdown significantly reduced the mRNA and protein expression of JUNB(P<0.001).(3)The TGF-β/WTAP/JUNB-related protein-protein interaction network was constructed,which was primary involved in mRNA modification and EMT.GSEA results showed that JUNB-related signaling pathways were closely associated with glioma malignant progression.Conclusions TGF-β,WTAP,and JUNB are all associated with GBM malignant progression and poor patient prognosis.TGF-β may enhance total RNA m6A modification by promoting the expression of m6A methyltransferase WTAP,and WTAP subsquentaly upregulates transcription factor JUNB,thereby promoting EMT and malignant progression of GBM.

Objective To analyze the expression and prognostic association of transmembrane 7 superfamily member 2(TM7SF2)in colorectal cancer using bioinformatics techniques.Methods The differential expression levels and clinical relevance of TM7SF2 mRNA in normal tissues and colorectal tumor tissues were analyzed using The Cancer Genome Atlas(TCGA)database.Evaluate the impact of TM7SF2 gene expression levels on patient prognosis through univariate and multivariate Cox regression analysis.Gene sets were download and score biological function changes by using the gene set variation analysis algorithm.Patients were divide into high and low expression groups based on TM7SF2 gene expression levels and the differences in signaling pathways with gene set enrichment analysis(GSEA)analyzed;use the CIBERSORT tool to assess the relationship between tumor immune cell infiltration and TM7SF2,apply the genomics of drug sensitivity in cancer(GDSC)database to predict the drug chemosensitivity of this gene,and describe the association between TM7SF2 gene expression and clinical indicators in colorectal cancer patients.Results Compared with normal tissues,the expression level of TM7SF2 in tumor tissues was significantly upregulated.Survival analysis indicates that high expression of the TM7SF2 gene was associated with poor prognosis in colorectal cancer patients.Through univariate and multivariate Cox regression model analysis,it was found that the expression level of TM7SF2 was a risk factor for the prognosis of colorectal cancer.Enrichment analysis suggested that TM7SF2 may play a role in pathways such as DNA replication,Wnt signaling pathway,and pentose phosphate pathway.TM7SF2 was positively correlated with regulatory T cells and CD8+T cells,and negatively correlated with memory CD4+T cells and neutrophils.In terms of drug sensitivity,TM7SF2 is correlated with the sensitivity to Camptothecin,Cisplatin,Docetaxel,Nilotinib,Olaparib,and Axitinib.Regression analysis showed that the contribution of TM7SF2 expression distribution to different clinical indicators varies.Conclusion TM7SF2 is highly expressed in colorectal cancer tissues and is associated with poor patient prognosis,can be used as a prognostic biomarker.

Objective:To investigate the status of development and application of information system of central sterile supply department(CSSD)in hospitals of China,so as to provide references for the promotion of CSSD information system in hospital.Methods:Hierarchical sampling method was adopted to combine with CSSD Professional Committee of Chinese Nursing Association to design questionnaire for Questionnaire Star Network Survey about basic information,CSSD information system,whether the CSSD information system connected with equipment,tracing links and tracing levels,identification method of apparatuses,automation of equipment in 3,074 hospitals of 22 provinces,4 municipalities directly under the central government,and 5 autonomous regions.Results:In 3,074 hospitals,1,811 hospitals(accounting for 58.91%)adopted the CSSD information system.The utilization rate of tertiary hospitals was 81.90%for the information system,which was higher than that(34.51%)in secondary hospitals,and the difference was statistically significant(x2=636.65,P<0.05).The proportion of hospitals that included the recycling,cleaning,disinfection,inspection and packaging,sterilization,storage,and distribution links of CSSD internal management into information management was all>88%,while the utilization link only accounted for 15.18%.The proportion that surgical apparatuses and the apparatuses of clinical diagnosis and treatment were included in management was higher in 1811 hospitals that used CSSD information system,which were respectively 88.02%and 84.70%,while the proportion of surgical soft endoscope was lower,which only was 49.20%.A total of 84.37%of hospitals conducted informatization management for using extracorporeal apparatuses and implants.The connection rates of the main CSSD equipment,which included the washing and disinfection machine,the pressure steam sterilizer and the low-temperature sterilizer,were connected with information system were respectively 56.60%,63.06%and 43.95%.The full compatibility between the information system and all monitoring methods did not be realized in these hospitals.Barcode was the main identification form(69.91%)of the CSSD information system,and personnel management was the most common management module(53.62%)of the information system.The utilization rate(2.93%-5.14%)of automated equipment was low,and 35.45%of the CSSD information systems had the function of automatic emergency handling.Conclusion:The CSSD informatization management of China has achieved remarkable results,but there are still problems such as insufficient connection of equipment,inclusion of monitoring data,and insufficient automation and intelligence.It is necessary to increase the promotion efforts to promote the high-quality development of hospitals.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

ObjectiveTo analyze the characteristic expression patterns of six neurotransmitters including 5-hydroxytryptamine （5-HT）， dopamine （DA）， acetylcholine （ACh）， norepinephrine （NE）， inhibitory neurotransmitter （INH）， and excitatory neurotransmitter （EXC） in the whole brain and different brain regions of depression patients by Search of Encephalo Telex （SET）， providing new ideas for the study of heterogeneous etiology of depression. Methods（1） A retrospective study was conducted on supra-slow signals of EEG fluctuations in 1 028 patients with depression. The SET system was used to obtain the expression information of six neurotransmitters in the whole brain and 12 brain regions： left frontal region （F3）， right frontal region （F4）， left central region （C3）， right central region （C4）， left parietal region （P3）， right parietal region （P4）， left occipital region （O1）， right occipital region （O2）， left anterior temporal region （F7）， right anterior temporal region （F8）， left posterior temporal region （T5）， and right posterior temporal region （T6）. The expression information of each neurotransmitter was compared with the normal model， and it was found that single neurotransmitter was in one of three states： increased， decreased， or normal expression. The simultaneous expression states of six neurotransmitters in the brain space were referred to as the expression pattern of multiple neurotransmitters. （2） A MySQL database was established to analyze the actual expression patterns of different neurotransmitters in the whole brain of patients with depression. （3） Factor analysis was conducted to further analyze the characteristic rules of 78 variables of neurotransmitters in the whole brain and 12 brain regions in depression patients. Results（1） The expression of single neurotransmitters in the whole brain and different brain regions of the total depression population showed one of three expression states （increased/decreased/normal）， being normal in the majority. The decreased and increased expression of 5-HT， ACh， DA， INH， EXC， and NE in the whole brain occurred in 6% and 25%， 31% and 17%， 36% and 9%， 15% and 31%， 32% and 14%， and 22% and 22%， respectively. （2） The antagonizing pairs of neurotransmitters （EXC/INH， DA/5-HT， and ACh/NE） showed significant antagonistic relationships in the whole brain and different brain regions， with a strong negative correlation between EXC and INH （P<0.01， |r| values ranging from 0.69 to 0.76）， a strong negative correlation between DA and 5-HT （P<0.01， |r| values ranging from 0.83 to 0.90）， and a moderate negative correlation between ACh and NE （P<0.01， with |r| values ranging from 0.56 to 0.66）. Meanwhile， non-antagonizing pairs of neurotransmitters in the whole brain and different brain regions also showed correlations， with DA/NE （P<0.01， |r| values ranging from 0.38 to 0.46） and NE/EXC （P<0.01， |r| values ranging from 0.56 to 0.61） showing weak and moderate negative correlations， respectively， and DA/EXC showing a weak positive correlation （P<0.01， |r| values ranging from 0.38 to 0.47）. （3） The six neurotransmitters in the 1 028 patients with depression presented a total of 170 expression patterns in the whole brain. The top 30 expression patterns were reported in this paper， with a cumulative rate of 60.60%， including patterns ① INH+/5-HT-/ACh+/DA+/NE-/EXC- （9.05%）， ② INH+/5-HT-/ACh↓/DA+/NE-/EXC- （4.57%）， and ③ INH+/5-HT-/ACh+/DA+/NE↓/EXC- （3.31%）. That is， the proportion of depression patients with normal levels of all the six neurotransmitters was 9.05%， and the patients with at least one neurotransmitter abnormality accounted for 91.95%. （4） The factor analysis extracted 22 common factors from 78 variables in the whole brain and different brain regions. These common factors showed the absolute values of loadings ranging from 0.32 to 0.86 and the eigenvalues （F） ranging from 1.03 to 13.43， with a cumulative contribution rate of 76.82%. The characteristic expression patterns included ① ACh_P3↓/ACh_W↓/ACh_C3↓/ACh_F3↓/ACh_O1↓/ACh_T5↓/ACh_F7↓/NE_P3↑/NE_W↑/NE_C3↑/NE_F3↑/NE_O1↑/NE_T5↑/NE_F7↑ （F=13.43， whole brain）， ② 5-HT_O2↑/DA_O2↓/5-HT_P4↑/DA_P4↓/5-HT_W↑/DA_W↓/5-HT_C4↑/DA_C4↓ （F=5.94）， and ③ EXC_F4↓/DA_F4↓/NE_F4↑/INH_F4↑/5-HT_F4↑/ACh_F4↓ （F=5.33）. ConclusionThe actual 170 expression patterns of 6 neurotransmitters in the whole brain of 1 028 depression patients indicate that depression is a heterogeneous disease with individualized characteristics. The 22 characteristic expression patterns in the whole brain and 12 brain regions verify the pathogenesis hypothesis of multi-neurotransmitters oscillation imbalance in brains of depression patients. In summary， this study provides new guidance for the etiology， diagnosis， and treatment of depression and establishes a methodological foundation for the effectiveness evaluation of individualized treatment of depression by traditional Chinese medicine based on the objective biological markers.

ObjectiveTo analyze the characteristic expression patterns of six neurotransmitters including 5-hydroxytryptamine （5-HT）， dopamine （DA）， acetylcholine （ACh）， norepinephrine （NE）， inhibitory neurotransmitter （INH）， and excitatory neurotransmitter （EXC） in the whole brain and different brain regions of depression patients by Search of Encephalo Telex （SET）， providing new ideas for the study of heterogeneous etiology of depression. Methods（1） A retrospective study was conducted on supra-slow signals of EEG fluctuations in 1 028 patients with depression. The SET system was used to obtain the expression information of six neurotransmitters in the whole brain and 12 brain regions： left frontal region （F3）， right frontal region （F4）， left central region （C3）， right central region （C4）， left parietal region （P3）， right parietal region （P4）， left occipital region （O1）， right occipital region （O2）， left anterior temporal region （F7）， right anterior temporal region （F8）， left posterior temporal region （T5）， and right posterior temporal region （T6）. The expression information of each neurotransmitter was compared with the normal model， and it was found that single neurotransmitter was in one of three states： increased， decreased， or normal expression. The simultaneous expression states of six neurotransmitters in the brain space were referred to as the expression pattern of multiple neurotransmitters. （2） A MySQL database was established to analyze the actual expression patterns of different neurotransmitters in the whole brain of patients with depression. （3） Factor analysis was conducted to further analyze the characteristic rules of 78 variables of neurotransmitters in the whole brain and 12 brain regions in depression patients. Results（1） The expression of single neurotransmitters in the whole brain and different brain regions of the total depression population showed one of three expression states （increased/decreased/normal）， being normal in the majority. The decreased and increased expression of 5-HT， ACh， DA， INH， EXC， and NE in the whole brain occurred in 6% and 25%， 31% and 17%， 36% and 9%， 15% and 31%， 32% and 14%， and 22% and 22%， respectively. （2） The antagonizing pairs of neurotransmitters （EXC/INH， DA/5-HT， and ACh/NE） showed significant antagonistic relationships in the whole brain and different brain regions， with a strong negative correlation between EXC and INH （P<0.01， |r| values ranging from 0.69 to 0.76）， a strong negative correlation between DA and 5-HT （P<0.01， |r| values ranging from 0.83 to 0.90）， and a moderate negative correlation between ACh and NE （P<0.01， with |r| values ranging from 0.56 to 0.66）. Meanwhile， non-antagonizing pairs of neurotransmitters in the whole brain and different brain regions also showed correlations， with DA/NE （P<0.01， |r| values ranging from 0.38 to 0.46） and NE/EXC （P<0.01， |r| values ranging from 0.56 to 0.61） showing weak and moderate negative correlations， respectively， and DA/EXC showing a weak positive correlation （P<0.01， |r| values ranging from 0.38 to 0.47）. （3） The six neurotransmitters in the 1 028 patients with depression presented a total of 170 expression patterns in the whole brain. The top 30 expression patterns were reported in this paper， with a cumulative rate of 60.60%， including patterns ① INH+/5-HT-/ACh+/DA+/NE-/EXC- （9.05%）， ② INH+/5-HT-/ACh↓/DA+/NE-/EXC- （4.57%）， and ③ INH+/5-HT-/ACh+/DA+/NE↓/EXC- （3.31%）. That is， the proportion of depression patients with normal levels of all the six neurotransmitters was 9.05%， and the patients with at least one neurotransmitter abnormality accounted for 91.95%. （4） The factor analysis extracted 22 common factors from 78 variables in the whole brain and different brain regions. These common factors showed the absolute values of loadings ranging from 0.32 to 0.86 and the eigenvalues （F） ranging from 1.03 to 13.43， with a cumulative contribution rate of 76.82%. The characteristic expression patterns included ① ACh_P3↓/ACh_W↓/ACh_C3↓/ACh_F3↓/ACh_O1↓/ACh_T5↓/ACh_F7↓/NE_P3↑/NE_W↑/NE_C3↑/NE_F3↑/NE_O1↑/NE_T5↑/NE_F7↑ （F=13.43， whole brain）， ② 5-HT_O2↑/DA_O2↓/5-HT_P4↑/DA_P4↓/5-HT_W↑/DA_W↓/5-HT_C4↑/DA_C4↓ （F=5.94）， and ③ EXC_F4↓/DA_F4↓/NE_F4↑/INH_F4↑/5-HT_F4↑/ACh_F4↓ （F=5.33）. ConclusionThe actual 170 expression patterns of 6 neurotransmitters in the whole brain of 1 028 depression patients indicate that depression is a heterogeneous disease with individualized characteristics. The 22 characteristic expression patterns in the whole brain and 12 brain regions verify the pathogenesis hypothesis of multi-neurotransmitters oscillation imbalance in brains of depression patients. In summary， this study provides new guidance for the etiology， diagnosis， and treatment of depression and establishes a methodological foundation for the effectiveness evaluation of individualized treatment of depression by traditional Chinese medicine based on the objective biological markers.

(+)-Strebloside, a significant bioactive compound isolated from the roots of Streblus asper Lour., demonstrates inhibitory effects against multiple malignancies. However, its specific function and underlying mechanistic pathways in Non-Hodgkin lymphoma (NHL) remain unexplored. This investigation sought to elucidate the role and potential mechanisms of (+)-strebloside-induced NHL cell death. The results demonstrated that (+)-strebloside significantly induced apoptosis and ferroptosis in NHL cells, including those from Raji cell-derived xenograft models. Mechanistic analyses revealed that (+)-strebloside enhanced six-transmembrane epithelial antigen of prostate 3 (STEAP3)-induced ferroptosis in NHL, and STEAP3 inhibition reduced the proliferation-inhibitory effects of (+)-strebloside. Furthermore, (+)-strebloside suppressed NHL proliferation through the mitogen-activated protein kinase (MAPK) pathway, and extracellular signal-regulated kinase (ERK) inhibition diminished the proliferation-inhibitory activity induced by (+)-strebloside. These findings indicate that (+)-strebloside presents promising therapeutic potential for NHL treatment.
Humans ; Ferroptosis/drug effects* ; Lymphoma, Non-Hodgkin/physiopathology* ; Cell Line, Tumor ; MAP Kinase Signaling System/drug effects* ; Animals ; Cell Proliferation/drug effects* ; Mice ; Apoptosis/drug effects* ; Membrane Proteins/genetics* ; Xenograft Model Antitumor Assays ; Male ; Mice, Nude