Objective: To analyze the mental health status and its impact factors among nurses, finding ways to improve the mental health of nurses. Methods: A total of 13 425 female healthcare workers aged from 18 to 65 were selected as study objects. The survey was conducted with unified design questionnaire. The survey included the basic situation of the individuals and SCL-90 questionnaire. Comparing the female doctors, the mental health status and its impact factors of nurses were analyzed. Results: The income, age, education and occupation, which include shift work, heavy work load and overtime work are different between nurses and doctors. The main mental health problems of nurses were obsessive-compulsive symptoms, depressive symptoms and somatization. The results of univariate analysis indicated that shift work, overtime work, and heavy work load affected the positive rate of each factor. The results of multivariate analysis showed that occupation, shift work, overtime work, and heavy work load have significant adverse effects on the positive rate of the total score in female healthcare workers (P<0.01) . The positive rate of each dimension of SCL-90 in nurses is significantly higher than that of doctors. Conclusion The mental health problems of nurses are significantly higher than doctors. The main reasons are low occupational level and adverse workstyles which include shift work, heavy workload and so on. Health administration and hospital management departments should pay much more attention to the mental health of nurses, improving their mental health through a variety of ways.

Objective:To explore the effects of acupuncture combined with Buyang Huanwu Decoction on intestinal flora in cerebral blood flow hypo perfusion model rats with carotid artery stenosis.Methods:Totally 40 rats were randomly divided into sham-operation group, model group, TCM treatment group and acupuncture and drug combination treatment group, with 10 rats in each group. Except the sham-operation group, the other groups were prepared cerebral ischemia model by needle control and thread embolism method. TCM treatment group received Buyang Huanwu Decoction 100 mg/kg for gavage, once a day, and the intervention lasted for 2 weeks. In the acupuncture and drug combination group, based on the TCM treatment group, Baihui and its left and right sides of 2 mm were selected for acupuncture, once a day, and continuous intervention was performed for 2 weeks. Neurological function evaluation and behavioral function score were performed 7 and 14 days after administration, respectively. 16S rRNA sequencing was used to comprehensively characterize the structure and composition of fecal microflora of rats in each group. Linear discriminant analysis Effect Size (LEfSe) was used to analyze the difference of intestinal bacteria among groups.Result:On the 7th and 14th day after administration, compared with the model group, the neurological function score in the TCM treatment group and the acupuncture and drug combination group decreased ( P<0.05), and the behavioral function score increased ( P<0.05). Compared with model group, the Shannon index of TCM treatment group and acupuncture and drug combination group increased ( P<0.05). The abundance of Firmicutes increased ( P<0.05), and the abundance of Bacteroidetes and Proteobacteria decreased ( P<0.05); the abundance of Clostridia increased ( P<0.05), and the abundance of Gammaproteobacteria decreased ( P<0.05). The abundance of Escherichia-Shigella and Bacteroides decreased ( P<0.05); the abundance of lactobacillus significantly increased ( P<0.05). Conclusion:Acupuncture combined with Buyang Huanwu Decoction can improve the symptoms of cerebral hypoperfusion model rats with carotid artery stenosis, and the mechanism may be to increase the abundance of probiotics.

The in vivo assembly of ribosomal subunits is a highly complex process, with a tight coordination between protein assembly and rRNA maturation events, such as folding and processing of rRNA precursors, as well as modifications of selected bases. In the cell, a large number of factors are required to ensure the efficiency and fidelity of subunit production. Here we characterize the immature 30S subunits accumulated in a factor-null Escherichia coli strain (∆rsgA∆rbfA). The immature 30S subunits isolated with varying salt concentrations in the buffer system show interesting differences on both protein composition and structure. Specifically, intermediates derived under the two contrasting salt conditions (high and low) likely reflect two distinctive assembly stages, the relatively early and late stages of the 3' domain assembly, respectively. Detailed structural analysis demonstrates a mechanistic coupling between the maturation of the 5' end of the 17S rRNA and the assembly of the 30S head domain, and attributes a unique role of S5 in coordinating these two events. Furthermore, our structural results likely reveal the location of the unprocessed terminal sequences of the 17S rRNA, and suggest that the maturation events of the 17S rRNA could be employed as quality control mechanisms on subunit production and protein translation.
Cryoelectron Microscopy ; Escherichia coli ; metabolism ; Escherichia coli Proteins ; genetics ; metabolism ; GTP Phosphohydrolases ; genetics ; metabolism ; Mass Spectrometry ; Protein Structure, Secondary ; Protein Structure, Tertiary ; RNA, Ribosomal ; analysis ; metabolism ; Ribosomal Proteins ; chemistry ; genetics ; metabolism ; Ribosome Subunits, Small, Bacterial ; chemistry ; metabolism ; ultrastructure ; Salts ; chemistry

【Objective】 To explore the differentially expressed genes in normal prostate and prostate cancer (PCa) tissues based on bioinformatics and screen out potential biomarkers for PCa, so as to provide scientific basis for later clinical medicine. 【Methods】 Three gene chip datasets of GSE55945, GSE46602 and GSE69223 were downloaded from GEO database, and differentially expressed genes (DEGs) were screened by the OmicStudio tools, and protein-protein interaction network (PPI) of DEGs was constructed by STRING. After Cytoscape was imported, CytoHubba plug-in was used to screen the top 30 genes in MCC score as key genes (Hub gene). DAVID was used for GO and KEGG enrichment analysis of Hub gene, and GraphPad Prism software was used to draw ROC curve. GEPIA database was used to verify the key genes, and survival analysis was further carried out. UALCAN was used to verify the correlation between the expression of key genes and Gleason grade of PCa. 【Results】 Three data sets (GSE55945, GSE46602 and GSE69223) obtained 428, 727 and 1285 differentially expressed genes, respectively. The Venn diagram shows that the three datasets contain 105 DEGs. Among 105 PPI networks corresponding to DEGs, the top 30 genes with MCC score were selected as Hub genes. The biological processes involved mainly include the positive regulation of protein kinase B signal, cell differentiation, positive regulation of transcription, negative regulation of transforming growth factor β receptor signaling pathway, positive regulation of cell migration, etc. The pathways involved are adhesion plaque, estrogen signaling pathway, etc. ROC curve results showed that the diagnostic ability of 9 genes in 3 data sets was statistically significant, and 9 Hub genes were CAV1, KDR, CAV2, TGFBR1, SLC7A11, GSTM2, GSTM3, GSTM5 and MYO6. Nine Hub genes were verified by GEPIA website, among which CAV1, KDR, CAV2, TGFBR1, GSTM2, GSTM3 and GSTM5 showed low expression in PCa, while SLC7A11 and MYO6 showed high expression in PCa. Survival analysis suggested that high GSTM5 expression prolonged OS in PCa patients. UALCAN results showed that the expression of GSTM5 gene was significantly correlated with Gleason grade, and the expression of GSTM5 gene decreased with the increase of Gleason score. 【Conclusion】 Hub genes CAV1, KDR, CAV2, TGFBR1, GSTM2, GSTM3 and GSTM5 are low expression in PCa, while SLC7A11 and MYO6 are high expression in PCa. GSTM5 gene is related to the survival rate of PCa. The expression of GSTM5 decreased with the increase of Gleason score, which indicated that GSTM5 may be a potential biomarker for PCa.

Background/Aims: Ubiquitination is widely involved in the progression of hepatocellular carcinoma (HCC) by regulating various cellular processes. However, systematic strategies for screening core ubiquitin-related genes, clarifying their functions and mechanisms, and ultimately developing potential therapeutics for patients with HCC are still lacking. Methods: Cox and LASSO regression analyses were performed to construct a ubiquitin-related gene prediction model for HCC. Loss- and gain-of-function studies, transcriptomic and metabolomics analysis were used to explore the function and mechanism of UBE2S on HCC cell glycolysis and growth. Results: Based on 1,423 ubiquitin-related genes, a four-gene signature was successfully constructed to evaluate the prognosis of patients with HCC. UBE2S was identified in this signature with the potential to predict the survival of patients with HCC. E2F2 transcriptionally upregulated UBE2S expression by directly binding to its promoter. UBE2S positively regulated glycolysis in a HIF-1α-dependent manner, thus promoting the proliferation of HCC cells. Mechanistically, UBE2S enhanced K11-linkage polyubiquitination at lysine residues 171 and 196 of VHL independent of E3 ligase, thereby indirectly stabilizing HIF-1α protein levels by mediating the degradation of VHL by the proteasome. In particular, the combination of cephalomannine, a small molecule compound that inhibits the expression of UBE2S, and PX-478, an inhibitor of HIF-1α, significantly improved the anti-tumor efficacy. Conclusions UBE2S is identified as a key biomarker in HCC among the thousands of ubiquitin-related genes and promotes glycolysis by E3 enzyme-independent ubiquitination, thus serving as a therapeutic target for the treatment of HCC.

Background/Aims: Ubiquitination is widely involved in the progression of hepatocellular carcinoma (HCC) by regulating various cellular processes. However, systematic strategies for screening core ubiquitin-related genes, clarifying their functions and mechanisms, and ultimately developing potential therapeutics for patients with HCC are still lacking. Methods: Cox and LASSO regression analyses were performed to construct a ubiquitin-related gene prediction model for HCC. Loss- and gain-of-function studies, transcriptomic and metabolomics analysis were used to explore the function and mechanism of UBE2S on HCC cell glycolysis and growth. Results: Based on 1,423 ubiquitin-related genes, a four-gene signature was successfully constructed to evaluate the prognosis of patients with HCC. UBE2S was identified in this signature with the potential to predict the survival of patients with HCC. E2F2 transcriptionally upregulated UBE2S expression by directly binding to its promoter. UBE2S positively regulated glycolysis in a HIF-1α-dependent manner, thus promoting the proliferation of HCC cells. Mechanistically, UBE2S enhanced K11-linkage polyubiquitination at lysine residues 171 and 196 of VHL independent of E3 ligase, thereby indirectly stabilizing HIF-1α protein levels by mediating the degradation of VHL by the proteasome. In particular, the combination of cephalomannine, a small molecule compound that inhibits the expression of UBE2S, and PX-478, an inhibitor of HIF-1α, significantly improved the anti-tumor efficacy. Conclusions UBE2S is identified as a key biomarker in HCC among the thousands of ubiquitin-related genes and promotes glycolysis by E3 enzyme-independent ubiquitination, thus serving as a therapeutic target for the treatment of HCC.

Background/Aims: Ubiquitination is widely involved in the progression of hepatocellular carcinoma (HCC) by regulating various cellular processes. However, systematic strategies for screening core ubiquitin-related genes, clarifying their functions and mechanisms, and ultimately developing potential therapeutics for patients with HCC are still lacking. Methods: Cox and LASSO regression analyses were performed to construct a ubiquitin-related gene prediction model for HCC. Loss- and gain-of-function studies, transcriptomic and metabolomics analysis were used to explore the function and mechanism of UBE2S on HCC cell glycolysis and growth. Results: Based on 1,423 ubiquitin-related genes, a four-gene signature was successfully constructed to evaluate the prognosis of patients with HCC. UBE2S was identified in this signature with the potential to predict the survival of patients with HCC. E2F2 transcriptionally upregulated UBE2S expression by directly binding to its promoter. UBE2S positively regulated glycolysis in a HIF-1α-dependent manner, thus promoting the proliferation of HCC cells. Mechanistically, UBE2S enhanced K11-linkage polyubiquitination at lysine residues 171 and 196 of VHL independent of E3 ligase, thereby indirectly stabilizing HIF-1α protein levels by mediating the degradation of VHL by the proteasome. In particular, the combination of cephalomannine, a small molecule compound that inhibits the expression of UBE2S, and PX-478, an inhibitor of HIF-1α, significantly improved the anti-tumor efficacy. Conclusions UBE2S is identified as a key biomarker in HCC among the thousands of ubiquitin-related genes and promotes glycolysis by E3 enzyme-independent ubiquitination, thus serving as a therapeutic target for the treatment of HCC.

Background/Aims: Ubiquitination is widely involved in the progression of hepatocellular carcinoma (HCC) by regulating various cellular processes. However, systematic strategies for screening core ubiquitin-related genes, clarifying their functions and mechanisms, and ultimately developing potential therapeutics for patients with HCC are still lacking. Methods: Cox and LASSO regression analyses were performed to construct a ubiquitin-related gene prediction model for HCC. Loss- and gain-of-function studies, transcriptomic and metabolomics analysis were used to explore the function and mechanism of UBE2S on HCC cell glycolysis and growth. Results: Based on 1,423 ubiquitin-related genes, a four-gene signature was successfully constructed to evaluate the prognosis of patients with HCC. UBE2S was identified in this signature with the potential to predict the survival of patients with HCC. E2F2 transcriptionally upregulated UBE2S expression by directly binding to its promoter. UBE2S positively regulated glycolysis in a HIF-1α-dependent manner, thus promoting the proliferation of HCC cells. Mechanistically, UBE2S enhanced K11-linkage polyubiquitination at lysine residues 171 and 196 of VHL independent of E3 ligase, thereby indirectly stabilizing HIF-1α protein levels by mediating the degradation of VHL by the proteasome. In particular, the combination of cephalomannine, a small molecule compound that inhibits the expression of UBE2S, and PX-478, an inhibitor of HIF-1α, significantly improved the anti-tumor efficacy. Conclusions UBE2S is identified as a key biomarker in HCC among the thousands of ubiquitin-related genes and promotes glycolysis by E3 enzyme-independent ubiquitination, thus serving as a therapeutic target for the treatment of HCC.

The ongoing pandemic of Coronavirus disease 19 (COVID-19) is caused by a newly discovered β Coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). How long the adaptive immunity triggered by SARS-CoV-2 can last is of critical clinical relevance in assessing the probability of second infection and efficacy of vaccination. Here we examined, using ELISA, the IgG antibodies in serum specimens collected from 17 COVID-19 patients at 6-7 months after diagnosis and the results were compared to those from cases investigated 2 weeks to 2 months post-infection. All samples were positive for IgGs against the S- and N-proteins of SARS-CoV-2. Notably, 14 samples available at 6-7 months post-infection all showed significant neutralizing activities in a pseudovirus assay, with no difference in blocking the cell-entry of the 614D and 614G variants of SARS-CoV-2. Furthermore, in 10 blood samples from cases at 6-7 months post-infection used for memory T-cell tests, we found that interferon γ-producing CD4
Adaptive Immunity/physiology* ; Adult ; Aged ; Antibodies, Neutralizing/blood* ; COVID-19/immunology* ; Cohort Studies ; Female ; Humans ; Immunoglobulin G/blood* ; Male ; Middle Aged ; SARS-CoV-2/immunology* ; T-Lymphocytes/physiology* ; Time Factors ; Viral Proteins/immunology*