Objective To investigate the effects of galangin on the migration and invasion abilities of cervical cancer Hela cells and its potential mechanisms.Methods Hela cells were treated with different concentrations of galangin(0,5,10,20,40,60,80,100 μmol/L)for 48 hours,and CCK-8 assay was used to assess the impact of galangin on cell viability and to determine the half-maximal lethal concentration(IC50)of galangin.Hela cells were divided into a control group(0 μmol/L)and a galangin group(40 μmol/L treatment).Scratch wound healing assays and Transwell chamber assays were conducted to evaluate the migration and invasion abilities of the cells in each group.Western Blot was used to detect the protein expression of E-cadherin and N-cadherin.DIA quantitative proteomics technology was used to detect and screen the differentially expressed proteins between the two groups.Biological function enrichment analysis of the differential genes was performed using the KEGG Pathway and Gene Set Enrichment Analysis(GSEA)methods.Western Blot was used to verify the expression levels of Hippo/YAP signaling pathway-related proteins YAP and p-YAP.Results Compared to the control group,galangin(40 μmol/L)significantly inhibited the viability of Hela cells in a concentration-dependent manner(P<0.001).Compared with the control group,the scratch healing ability and invasion ability of cervical cancer Hela cells treated with galangin(40 μmol/L)were significantly reduced(P<0.001).The expression of E-cadherin protein was increased(P<0.05)and the expression of N-cadherin protein was decreased(P<0.001)in the galangin group(40 μmol/L)compared to the control group.KEGG and GSEA enrichment results indicated that the inhibition of malignant progression in cervical cancer by galangin was significantly associated with the Hippo/YAP signaling pathway.Western Blot confirmed that the expression level of the hallmark protein p-YAP in the Hippo signaling pathway was increased(P<0.01),while the expression level of YAP protein was decreased(P<0.05).Conclusion Galangin inhibits the proliferation,migration and invasion abilities of Hela cells in a dose-dependent manner.The underlying mechanism might be associated with the activation of the Hippo/YAP signaling pathway.

Objective:To analyze the depressive symptoms of physical and mental workers and the impact of their behavior and lifestyle on their depressive symptoms.Methods:In August 2022, a cross-sectional study design was adopted to select 553 workers as research subjects using cluster sampling. General demographic information, health-related behaviors and lifestyles were collected, and their depressive symptoms were evaluated using the Chinese version of the Patient Health Questionnaire 9 (PHQ-9). The differences in general demographic information, health-related behaviors and lifestyles between physical and mental workers were analyzed, and logistic regression was used to analyze the influencing factors of depressive symptoms in occupational populations.Results:Among the 553 subjects, 317 were physical workers (57.32%) and 236 were mental workers (42.68%). Statistically significant differences were observed between the two groups in terms of education level, monthly income, smoking rate, regular physical exercise rate and appropriate sleep time rate ( P<0.05). The score and the detection rate of depression symptoms among physical workers were (9.67±2.75) points and 20.82% (66/317), respectively, which were higher than those of mental workers [(8.34±2.18) points, 12.71% (30/236) ] ( t=6.13, χ 2=6.20, P<0.05). The results of logistic regression analysis showed that smoking, regular physical exercise, appropriate sleep time and mental work were influencing factors of depressive symptoms among the occupational population ( OR=1.592, 95% CI: 1.316-1.825; OR=0.659, 95% CI: 0.416-0.830; OR=0.502, 95% CI: 0.257-0.717; OR=0.839, 95% CI: 0.522-0.967; P<0.05) . Conclusion:The depressive symptoms of physical workers are more serious than those of mental workers. Low education level, not frequently participating in physical exercise, smoking and sleep disorder are potential risk factors that affect the depressive symptoms of the occupational population.

Objective:To analyze the depressive symptoms of physical and mental workers and the impact of their behavior and lifestyle on their depressive symptoms.Methods:In August 2022, a cross-sectional study design was adopted to select 553 workers as research subjects using cluster sampling. General demographic information, health-related behaviors and lifestyles were collected, and their depressive symptoms were evaluated using the Chinese version of the Patient Health Questionnaire 9 (PHQ-9). The differences in general demographic information, health-related behaviors and lifestyles between physical and mental workers were analyzed, and logistic regression was used to analyze the influencing factors of depressive symptoms in occupational populations.Results:Among the 553 subjects, 317 were physical workers (57.32%) and 236 were mental workers (42.68%). Statistically significant differences were observed between the two groups in terms of education level, monthly income, smoking rate, regular physical exercise rate and appropriate sleep time rate ( P<0.05). The score and the detection rate of depression symptoms among physical workers were (9.67±2.75) points and 20.82% (66/317), respectively, which were higher than those of mental workers [(8.34±2.18) points, 12.71% (30/236) ] ( t=6.13, χ 2=6.20, P<0.05). The results of logistic regression analysis showed that smoking, regular physical exercise, appropriate sleep time and mental work were influencing factors of depressive symptoms among the occupational population ( OR=1.592, 95% CI: 1.316-1.825; OR=0.659, 95% CI: 0.416-0.830; OR=0.502, 95% CI: 0.257-0.717; OR=0.839, 95% CI: 0.522-0.967; P<0.05) . Conclusion:The depressive symptoms of physical workers are more serious than those of mental workers. Low education level, not frequently participating in physical exercise, smoking and sleep disorder are potential risk factors that affect the depressive symptoms of the occupational population.