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.

The AP2/ERF transcription factor family is a class of transcription factors widely present in plants, playing a crucial role in regulating flowering, flower development, flower opening, and flower senescence. Based on transcriptome data from flower, leaf, and stem samples of two Lonicera macranthoides varieties, 117 L. macranthoides AP2/ERF family members were identified, including 14 AP2 subfamily members, 61 ERF subfamily members, 40 DREB subfamily members, and 2 RAV subfamily members. Bioinformatics and differential gene expression analyses were performed using NCBI, ExPASy, SOMPA, and other platforms, and the expression patterns of L. macranthoides AP2/ERF transcription factors were validated via qRT-PCR. The results indicated that the 117 LmAP2/ERF members exhibited both similarities and variations in protein physicochemical properties, AP2 domains, family evolution, and protein functions. Differential gene expression analysis revealed that AP2/ERF transcription factors were primarily differentially expressed in the flowers of the two L. macranthoides varieties, with the differentially expressed genes mainly belonging to the ERF and DREB subfamilies. Further analysis identified three AP2 subfamily genes and two ERF subfamily genes as potential regulators of flower development, two ERF subfamily genes involved in flower opening, and two ERF subfamily genes along with one DREB subfamily gene involved in flower senescence. Based on family evolution and expression analyses, it is speculated that AP2/ERF transcription factors can regulate flower development, opening, and senescence in L. macranthoides, with ERF subfamily genes potentially serving as key regulators of flowering duration. These findings provide a theoretical foundation for further research into the specific functions of the AP2/ERF transcription factor family in L. macranthoides and offer important theoretical insights into the molecular mechanisms underlying floral phenotypic differences among its varieties.
Plant Proteins/chemistry* ; Gene Expression Regulation, Plant ; Transcription Factors/chemistry* ; Lonicera/classification* ; Flowers/metabolism* ; Phylogeny ; Gene Expression Profiling ; Multigene Family

OBJECTIVE: To explore the significance of the plasma cell percentage and immature plasma cells in the prognosis of patients with multiple myeloma (MM). METHODS: The clinical data of 126 newly diagnosed MM patients in Gansu Provincial Hospital from June 2017 to November 2022 were retrospectively analyzed. The enrolled patients were divided into a higher plasma cell percentage group (group A) and a lower plasma cell percentage group (group B) according to the median plasma cell percentage (33.5%). The clinicopathological data of the two groups were compared, and the effect of plasma cell percentage on the prognosis of MM patients was analyzed using survival curves. On this basis, group A and group B were divided into subgroups with immature plasma cells (A1 group, B1 group) and subgroups without immature plasma cells (A2 group, B2 group), respectively, then the survival curves were used to analyze the effect of immature plasma cells on the prognosis of MM patients. RESULTS: Among the 126 patients with MM, the proportions of patients with ISS stage III, elevated β₂-microglobulin(β₂-MG) level, and immature plasma cells in Group A were significantly higher compared those in Group B ( P =0.015, P =0.028, P =0.010). The median overall survival(OS) and progression-free survival(PFS) of group A were 32 months and 10 months, respectively. The median OS of group B was not reached, and the median PFS was 32 months. The 3-year OS rates of patients in group A and group B were 46.7% and 62.2%, respectively ( P =0.021), and the 3-year PFS were 29.2% and 42.5%, respectively ( P =0.033). There were no significant differences in OS and PFS between group A1 and group A2, or between group B1 and group B2 ( P >0.05). Multivariate COX survival analysis showed that the plasma cell percentage ≥33.5%（HR=1.253, 95%CI : 0.580-2.889, P =0.018）, age ≥65 years (HR=2.206, 95%CI : 1.170-3.510, P =0.012), lactate dehydrogenase(LDH) ≥250 U/L (HR=1.180, 95%CI : 0.621-2.398, P =0.048) and β₂-MG ≥3.5 mg/L (HR=1.507, 95%CI : 0.823-3.657, P =0.036) were independent risk factors affecting OS in MM patients. CONCLUSION MM patients with a higher plasma cell percentage (≥33.5%) at the initial diagnosis have a later disease stage, poorer OS and PFS, compared to the patients with a lower percentage(<33.5%) of plasma cells. The presence or absence of immature plasma cells has no significant impact on the survival of MM patients.
Humans ; Multiple Myeloma/pathology* ; Prognosis ; Plasma Cells/cytology* ; Retrospective Studies ; Male ; Female ; Middle Aged ; Aged ; Bone Marrow

The study aimed to investigate the expression of ITGB1 in gastric cancer tissues and its impact on the efficacy of immunotherapy,and to find a new biomarker for prognosis assessment and prediction of immunotherapy response in gastric cancer.By utilizing bioinformatics methods to analyze the transcriptomic data,clinical pathological characteristics,and survival information of gastric cancer patients in the Cancer Genome Atlas(TCGA)database,this study evaluates the expression of ITGB1 in gastric cancer and its correlation with clinical features.Furthermore,an in-depth analysis was conducted for evaluating the relationship of ITGB1 expression with immune infiltration,immune checkpoint-related genes,immune subtypes and immunotherapy response.Data showed that high ITGB1 expression in gastric cancer tissues is associated with later T stage,lower survival rates,and lower overall survival.Analysis of immune infiltration scores showed the score for CD4+T cells,CD8+T cells,neutrophils,macrophages and dendritic cells were higher in the high ITGB1 expression group.Additionally,the levels of immune checkpoint-related genes such as SIGLEC15,TIGIT,CD274,HAVCR2,CTLA4 and PDCD1LG2 were elevated in the high ITGB1 expression group,and the expression of ITGB1 was positively correlated with the expression of immune checkpoint-related genes including SIGLEC15,TIGIT,CD274,HAVCR2,CTLA4,LAG3 and PDCD1LG2.Analysis based on the data from the TISIDB database revealed differential expression of ITGB1 in various immune subtypes of gastric cancer,with significantly higher expression levels in the C6 subtype(TGF-β dominant type).The TIDE algorithm indicated a high score for the group with high ITGB1 expression,suggesting poor efficacy of immune checkpoint blockade therapy.To sum up,we find that high expression of ITGB1 in gastric cancer tissues is a poor prognostic indicator for gastric cancer patients,thus ITGB1 may serve as a potential biomarker for assessing prognosis and predicting the efficacy of immunotherapy in gastric cancer.

Objective:To explore the application of metagenomic next-generation sequencing (mNGS) in patients with pulmonary infection after failure of empirical treatment.Methods:From September 2021 to November 2023, a total of 64 patients with pulmonary infection who failed to receive empirical treatment in the Ninth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine were retrospectively analyzed, sputum and bronchoalveolar lavage fluid of patients were collected for traditional etiological detection and mNGS detection in alveolar lavage fluid, and the differences between traditional etiological detection methods and mNGS detection methods for pathogen detection in patients with pulmonary infection after failure of empirical treatment were compared.Results:In 64 patients with pulmonary infection after failure of empirical treatment, the positive rate of mNGS microbial detection in alveolar lavage fluid was higher than that of traditional etiological detection: 87.50%(56/64) vs. 57.81%(37/64), and the difference was statistically significant ( P<0.01). The most common microorganisms detected by mNGS were bacterial infections, the main bacteria were Pseudomonas aeruginosa, Klebsiella pneumoniae and Haemophilus paraininfluenzae. The detection rate of mNGS in mixed infection was higher than that of traditional etiological detection: 65.63%(42/64) vs. 15.63%(10/64), χ2 = 33.17, P<0.01. Drug resistance genes were detected by mNGS technique in 18 patients, and a total of 21 kinds of drug resistance genes were detected, 53.13%(34/64) of patients improved after antibiotic adjustment based on mNGS test results. Conclusions:mNGS technology can effectively improve the positive microbial detection rate of patients with pulmonary infection after failure of empirical treatment, and can assist in the evaluation of antimicrobial resistance genes and guide the adjustment of clinical antibiotics, so as to improve the therapeutic effect.

Objective To investigate the impacts of LINC00943 on proliferation,apoptosis,and invasion of esophageal squamous cell carcinoma(ESCC)cells by regulating the miR-126-5p/HOXB2 axis.Methods QRT-PCR was applied to detect the expression of LINC00943 in 45 ESCC tissues and cell lines;The effects of LINC00943 knockdown on the proliferation,apoptosis and invasion of KYSE30 cells were detected by MTT assay,flow cytometry and Transwell chamber.Western blot was applied to detect the expression of proliferating cell nuclear antigen(PCNA),Bcl-2 associated X protein(Bax),anti apoptotic factor B cell lymphomatoma-2(Bcl-2),cleaved caspase-3,matrix metalloproteinase-2(MMP-2),MMP-9,and HOXB2;dual luciferase reporter gene experiment was applied to verify the relationship between miR-126-5p and LINC00943 and HOXB2;the ESCC nude mouse in vivo model was constructed and separated into si-NC and si-LINC00943 groups,the tumor mass and volume were measured,qRT-PCR was applied to detect the expression of miR-126-5p in transplanted tumor tissue,immunohistochemistry was applied to detect the expression of HOXB2 protein in transplanted tumor tissue,and TUNEL staining was applied to detect cell apoptosis in tumor tissue.Results The expression of LINC00943 mRNA increased in ESCC tissues and cell lines(P＜0.05);Compared with the si-NC group,the proliferation activity,migration and invasion cell number,HOXB2,PCNA,MMP-2,MMP-9 and Bcl-2 protein expression of KYSE30 cells in the si-LINC00943 group were decreased,and the expression of miR-126-5 p,Bax,Cleaved Caspase-3 and apoptosis rate were increased(P＜0.05);downregulation of miR-126-5p was able to weaken the inhibitory effect of LINC00943 knockdown on the malignant behavior of KYSE30 cells(P＜0.05);dual luciferase reporter gene experiment confirmed the targeted regulatory relationship between miR-126-5p and LINC00943,and miR-126-5p and HOXB2(P＜0.05);The ESCC nude mouse model was constructed in vivo and divided into si-NC and si-LINC00943 groups.The tumor mass,tumor volume,expression of miR-126-5p and HOXB2 in transplanted tumor tissues and apoptosis rate of tumor cells were measured.(P＜0.05).Conclusion LINC00943 is highly expressed in ESCC tissues and cell lines.Knocking down LINC00943 may inhibit the expression of HOXB2 by up-regulating the expression of miR-126-5p,promote the apoptosis of ESCC cells,and inhibit their proliferation,migration and invasion.

Objective:To explore the predictive value of the prognostic nutritional index (PNI) in concurrently infected patients with acute-on-chronic liver failure (ACLF).Methods:220 cases with ACLF diagnosed and treated at the First Affiliated Hospital of Xi'an Jiaotong University from January 2011 to December 2016 were selected. Patients were divided into an infection and non-infection group according to whether they had co-infections during the course of the disease. Clinical data differences were compared between the two groups of patients. Binary logistic regression analysis was used to screen out influencing factors related to co-infection. The receiver operating characteristic curve was used to evaluate the predictive value of PNI for ACLF co-infection. The measurement data between groups were compared using the independent sample t-test and the Mann-Whitney U rank sum test. The enumeration data were analyzed using the Fisher exact probability test or the Pearson χ2 test. The Pearson method was performed for correlation analysis. The independent risk factors for liver failure associated with co-infection were analyzed by multivariate logistic analysis. Results:There were statistically significant differences in ascites, hepatorenal syndrome, PNI score, and albumin between the infection and the non-infection group ( P ?