Objective To evaluate the teaching effectiveness of applying article structure analysis to improve medical graduate students' ability to read research articles.Methods 48 medical graduate students from basic medicine school of the Fourth Military Medical University were randomly and equally divided into the experimental group and control group.In the reading ability training of scientific research papers,the experimental group used the teaching of the structure analysis,while the control group used the collective self study.Before and after the training,the two groups of students were implemented a unified reading ability test and self reading ability evaluation survey,and after the training,the teaching satisfaction survey was conducted among the experimental group only.SPSS 16 was used to analyze the correlation data and Wilcoxon for signed-rank t est.Results After training the reading ability test results showed that reading ability score (P=0.013),consumed reading time score (P=0.003) and reading efficiency (P=0.004) of the experimental group were significantly higher than those of control group.The two groups of students' self-evaluation of the reading ability showed that after training,the scores of the students in the experimental group were higher than those in the control group,and the differences were statistically significant (P values were less than 0.05).The experimental group students' teaching satisfaction survey to article structure analysis showed students' score in 6 survey contents were greater than 3,namely degree of evaluation was more than general,among which,the score of four survey contents was more than 4,that is to achieve satisfied or very satisfied.Conclttsion Applying article structure analysis can significantly improve medical graduate students' ability to read research articles.

Objective: To investigate the mental health status of railway female workers and related influencing factors, and to provide a scientific strategy for labor protection regulations in railway female workers. Methods: Cluster sampling was used to select 5033 female workers from Jinan, Nanning, Qinghai-Tibet, and Wuhan railway systems in China from January to August, 2016. A uniform reproductive health questionnaire, as well as the Symptom Checklist-90 (SCL-90) , was used to investigate their general information (age, marital status, education level, and family income) , work type (day shift, night shift, or work on shift) , work position, and the presence or absence of exposure to occupational hazardous factors. The score on each factor of SCL-90 and the positive rate of mental health status were calculated. Results: The positive rate of mental health status was 10.6% in railway female workers. The workers exposed to occupational hazardous factors had a significantly higher positive rate of mental health status than those not exposed to occupational hazardous factors (14.20% vs 8.02%, P<0.01) . There were significant differences in the positive rate of mental health status between workers with different ages, marital status, education levels, histories of abortion, or annual family income levels (P<0.01) . The scores of somatization (1.54±0.62) and horror (1.28±0.47) in SCL-90 were significantly higher than the Chinese adult norm (P<0.01) . The multivariate logistic regression analysis showed that exposure to occupational hazardous factors, night shift, overwork, and carrying heavy objects were associated with mental health problems (OR=1.797, 95%CI: 1.393-2.318; OR=0.641, 95%CI: 0.498-0.827; OR=0.586, 95%CI: 0.439-0.783; OR=0.580, 95%CI: 0.378-0.890) . Conclusion Railway female workers have lower levels of mental health than the general population and are under significant occupational stress. Exposure to occupational hazardous factors, night shift, overwork, and carrying heavy objects are associated with the development of mental health problems in railway female workers.

Objective: To investigate the sleep and mental health status of adolescents in Shandong Province, to explore the correlation between sleep and mental health, so as to provide a basis for adolescent physical and mental health management. Methods: From February to March 2023,a multistage stratified whole cluster sampling method was used to randomly select 3 cities in Shandong Province, one urban area and one township in each city, one junior high school and one senior high school in the urban area and the township, respectively, and then 4 classes were randomly selected from each grade level of each school, and all 3 667 students in the classes were surveyed by using the Pittsburgh Sleep Quality Index Scale (PSQI) short form and the Chinese Middle School Students Mental Health Inventory (MMHI-60). Results: The prevalence of sleep deprivation among adolescents in Shandong Province was 37.44%, and the detection rate of psychological problems was 46.41%. Adolescent psychology could be divided into four latent categories:psychological immune group (39.6%), psychological low risk group (12.2%), psychological medium risk group (13.2%) and psychological high risk group (35.0%). Multifactorial Logistic regression analyses showed that gender, school year, sleep duration and sleep quality were influencing factors for the psychological latent categories ( OR =1.39-9.55, P < 0.05 ), and that adolescents with sleep deprivation and poor sleep quality were more inclined to be classified as being in the psychological medium and high risk groups. Conclusions The sleep and mental health of adolescents in Shandong Province is not very good. Comprehensive prevention and control of psychological problems should not only focus on personality and psychological characteristics, but also need to be combined with the sleep condition of adolescents.

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.