Background Workers in the cable manufacturing industry are exposed to high-speed machinery and equipment for a long time, coupled with heavy workload, which poses significant risks to their physical health. However, the issue of occupational injuries in this industry has not received enough attention yet. Objective To understand the incidence of occupational injury of workers in cable manufacturing industry and to analyze the influencing factors. Method A basic information questionnaire and an occupational injury questionnaire were developed to investigate the occupational injuries of 1 343 workers in a cable manufacturing enterprise in the past year, and a total of 1 225 valid questionnaires were recovered, with an effective rate of 91.2%. Descriptive statistics were used to characterize the causes, injury locations, injury types, and other characteristics of employees’ occupational injuries. Chi-square test was used to analyze the occupational injury status of groups with different demographic characteristics, occupational characteristics, lifestyles, and interpersonal relationships. Logistic regression was used to analyze the influencing factors of occupational injuries. Result The incidence of occupational injuries among workers in a cable manufacturing enterprise in the past year was 8.6%, which mainly happened in male workers (80.0%) and occurred from May to July in summer (45.7%). The main causes were mechanical injuries (32.4%) and object blows (27.6%). The main sources of damage were machinery and equipment (36.2%) as well as raw materials and products (15.2%). The main injuries were located in upper limbs (53.3%) and lower limbs (22.9%). The main types of injuries were fractures (33.3%) and abrasions/contusions/puncture wounds (19.0%). The results of univariate analysis showed that there were statistically significant variations in the incidence of occupational injuries by gender, overtime, pre-job training, years of service in current position, alcohol consumption, physical exercise per week, and co-worker relationship (P<0.05). The logistic regression model showed that workers who exercised less than twice a week, did not participate in pre-job training, worked overtime, and had fair/poor/very poor colleague relationship had a higher risk of occupational injury, while women had a lower risk of occupational injury. Conclusion The distribution of occupational injury population is mainly male, and the time distribution is mainly from May to July. Gender, physical exercise, pre-job training, overtime, and colleague relationship are the influencing factors of occupational injuries. We should strengthen pre-job training, arrange work hours reasonably, and create a good working atmosphere to reduce the occurrence of occupational injuries.

Background Social psychological factors have emerged as a key area of research in occupational injury prevention. Occupational stress, a significant component of social psychology, has garnered widespread attention due to its potential impact on occupational injury. Objective To analyze the factors influencing occupational stress among cable manufacturing workers and explore the relationship between occupational stress and occupational injury, and to provide scientific evidence for reducing occupational stress and injury. Methods A questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. Results A total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%). Conclusion Shift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

OBJECTIVE To provide medication reference for duloxetine use in clinical settings， particularly for patients with depression in primary medical institutions in Xinjiang that lack therapeutic drug monitoring conditions. METHODS The medical records of 281 depression inpatients taking duloxetine in the First Affiliated Hospital of Xinjiang Medical University from January 2022 to December 2023 were retrospectively collected. They were divided into training set （196 cases） and test set （85 cases） in the ratio of 7∶3. Feature selection was performed by encapsulating random forests （RF） with recursive feature elimination. Four machine learning algorithms， namely support vector machine， RF， extreme gradient boosting （XGBoost） and artificial neural network， were used to construct duloxetine blood concentration prediction model. The prediction performance of the models was evaluated and compared by coefficient of determination （R2）， mean absolute error （MAE） and root mean squared error （RMSE）. The feature of the selected optimal model was explained by Shapley additive explanation method， and the importance ranking of the features and the influence on the prediction results of duloxetine blood concentration were determined. RESULTS A total of 29 characteristic variables were selected， including age， ethnicity， body mass index（BMI）， etc. XGBoost showed the highest R2 （0.808）， and the lowest MAE （7.644） and RMSE （10.808）. The ranking of feature importance for predicting the blood concentration of duloxetine was as follows： BMI＞age＞other 20 feature sets （including liver and kidney function and biochemical indicators）＞daily dosage＞comorbidities＞combination therapy＞ethnicity＞white blood cell count＞hemoglobin＞height. CONCLUSIONS XGBoost model possesses the best prediction performance of duloxetine blood concentration； BMI and age have a greater impact on the prediction of duloxetine blood concentration.

Objective: To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease. Methods: The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16，18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method. Results: After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level. Conclusion The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.

Background: Diabetes-induced testicular damage (DITD) is a common complication of diabetes. We investigated underlying mechanism of retinoblastoma-binding protein 6 (Rbbp6)-mediated brain and muscle ARNT-like 1 (Bmal1) ubiquitination in modulating ferroptosis in DITD. Methods: Spermatogenic cell apoptosis and viability were measured by flow cytometry and cell counting kit 8 (CCK-8), respectively. The impact of Rbbp6 and Bmal1 on ferroptosis was assessed by determining expression of ferroptosis markers glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11), and levels of malondialdehyde (MDA), glutathione (GSH), iron, and lipid peroxidation. Co-immunoprecipitation was performed to determine the interaction between Rbbp6 and Bmal1, as well as the ubiquitination level of Bmal1. The expression levels of Rbbp6, Bmal1, Yes-associated protein 1 (YAP1), ferroptosis markers, and testicular steroidogenic enzymes were tested by Western blot. Results: Bmal1 protein expression was significantly downregulated, while Rbbp6 was upregulated in DITD mouse model and high glucose (HG)-induced GC-1 spg cells. Overexpression of Bmal1 improved testicular injury in diabetic mice, reduced 4-hydroxynonenal (4-HNE), MDA, iron levels, and increased expression levels of GPX4, SLC7A11, GSH, as well as testicular steroidogenic enzymes. Rbbp6 decreased Bmal1 level through promoting its ubiquitination. Meanwhile, Rbbp6 knockdown inhibited the ferroptosis of HG-induced GC-1 spg cells, which were abolished by silencing Bmal1. In addition, knockdown of YAP1 or treatment with ferroptosis inducer erastin blocked the above effects caused by Bmal1 overexpression. Conclusion Rbbp6-mediated Bmal1 ubiquitination suppressed YAP1 pathway, promoting ferroptosis in DITD. This study highlighted Rbbp6/Bmal1/YAP1 axis as a potential therapeutic target for mitigating DITD.

Background: Diabetes-induced testicular damage (DITD) is a common complication of diabetes. We investigated underlying mechanism of retinoblastoma-binding protein 6 (Rbbp6)-mediated brain and muscle ARNT-like 1 (Bmal1) ubiquitination in modulating ferroptosis in DITD. Methods: Spermatogenic cell apoptosis and viability were measured by flow cytometry and cell counting kit 8 (CCK-8), respectively. The impact of Rbbp6 and Bmal1 on ferroptosis was assessed by determining expression of ferroptosis markers glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11), and levels of malondialdehyde (MDA), glutathione (GSH), iron, and lipid peroxidation. Co-immunoprecipitation was performed to determine the interaction between Rbbp6 and Bmal1, as well as the ubiquitination level of Bmal1. The expression levels of Rbbp6, Bmal1, Yes-associated protein 1 (YAP1), ferroptosis markers, and testicular steroidogenic enzymes were tested by Western blot. Results: Bmal1 protein expression was significantly downregulated, while Rbbp6 was upregulated in DITD mouse model and high glucose (HG)-induced GC-1 spg cells. Overexpression of Bmal1 improved testicular injury in diabetic mice, reduced 4-hydroxynonenal (4-HNE), MDA, iron levels, and increased expression levels of GPX4, SLC7A11, GSH, as well as testicular steroidogenic enzymes. Rbbp6 decreased Bmal1 level through promoting its ubiquitination. Meanwhile, Rbbp6 knockdown inhibited the ferroptosis of HG-induced GC-1 spg cells, which were abolished by silencing Bmal1. In addition, knockdown of YAP1 or treatment with ferroptosis inducer erastin blocked the above effects caused by Bmal1 overexpression. Conclusion Rbbp6-mediated Bmal1 ubiquitination suppressed YAP1 pathway, promoting ferroptosis in DITD. This study highlighted Rbbp6/Bmal1/YAP1 axis as a potential therapeutic target for mitigating DITD.

Background: Diabetes-induced testicular damage (DITD) is a common complication of diabetes. We investigated underlying mechanism of retinoblastoma-binding protein 6 (Rbbp6)-mediated brain and muscle ARNT-like 1 (Bmal1) ubiquitination in modulating ferroptosis in DITD. Methods: Spermatogenic cell apoptosis and viability were measured by flow cytometry and cell counting kit 8 (CCK-8), respectively. The impact of Rbbp6 and Bmal1 on ferroptosis was assessed by determining expression of ferroptosis markers glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11), and levels of malondialdehyde (MDA), glutathione (GSH), iron, and lipid peroxidation. Co-immunoprecipitation was performed to determine the interaction between Rbbp6 and Bmal1, as well as the ubiquitination level of Bmal1. The expression levels of Rbbp6, Bmal1, Yes-associated protein 1 (YAP1), ferroptosis markers, and testicular steroidogenic enzymes were tested by Western blot. Results: Bmal1 protein expression was significantly downregulated, while Rbbp6 was upregulated in DITD mouse model and high glucose (HG)-induced GC-1 spg cells. Overexpression of Bmal1 improved testicular injury in diabetic mice, reduced 4-hydroxynonenal (4-HNE), MDA, iron levels, and increased expression levels of GPX4, SLC7A11, GSH, as well as testicular steroidogenic enzymes. Rbbp6 decreased Bmal1 level through promoting its ubiquitination. Meanwhile, Rbbp6 knockdown inhibited the ferroptosis of HG-induced GC-1 spg cells, which were abolished by silencing Bmal1. In addition, knockdown of YAP1 or treatment with ferroptosis inducer erastin blocked the above effects caused by Bmal1 overexpression. Conclusion Rbbp6-mediated Bmal1 ubiquitination suppressed YAP1 pathway, promoting ferroptosis in DITD. This study highlighted Rbbp6/Bmal1/YAP1 axis as a potential therapeutic target for mitigating DITD.

Background: Diabetes-induced testicular damage (DITD) is a common complication of diabetes. We investigated underlying mechanism of retinoblastoma-binding protein 6 (Rbbp6)-mediated brain and muscle ARNT-like 1 (Bmal1) ubiquitination in modulating ferroptosis in DITD. Methods: Spermatogenic cell apoptosis and viability were measured by flow cytometry and cell counting kit 8 (CCK-8), respectively. The impact of Rbbp6 and Bmal1 on ferroptosis was assessed by determining expression of ferroptosis markers glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11), and levels of malondialdehyde (MDA), glutathione (GSH), iron, and lipid peroxidation. Co-immunoprecipitation was performed to determine the interaction between Rbbp6 and Bmal1, as well as the ubiquitination level of Bmal1. The expression levels of Rbbp6, Bmal1, Yes-associated protein 1 (YAP1), ferroptosis markers, and testicular steroidogenic enzymes were tested by Western blot. Results: Bmal1 protein expression was significantly downregulated, while Rbbp6 was upregulated in DITD mouse model and high glucose (HG)-induced GC-1 spg cells. Overexpression of Bmal1 improved testicular injury in diabetic mice, reduced 4-hydroxynonenal (4-HNE), MDA, iron levels, and increased expression levels of GPX4, SLC7A11, GSH, as well as testicular steroidogenic enzymes. Rbbp6 decreased Bmal1 level through promoting its ubiquitination. Meanwhile, Rbbp6 knockdown inhibited the ferroptosis of HG-induced GC-1 spg cells, which were abolished by silencing Bmal1. In addition, knockdown of YAP1 or treatment with ferroptosis inducer erastin blocked the above effects caused by Bmal1 overexpression. Conclusion Rbbp6-mediated Bmal1 ubiquitination suppressed YAP1 pathway, promoting ferroptosis in DITD. This study highlighted Rbbp6/Bmal1/YAP1 axis as a potential therapeutic target for mitigating DITD.