Ovarian cancer （OC） is one of the most common malignant tumors in women， with the mortality rate being the highest among gynaecological malignant tumors. As the atypical symptoms of OC are difficult to be detected in the early stage， most patients are already in the advanced stage when being diagnosed. As a result， the clinical treatment has limited effects. Currently， the main therapies for OC are surgery and chemotherapy， while their drug resistance and adverse reactions seriously reduce the quality of life of patients. In recent years， traditional Chinese medicine （TCM） has attracted the attention of clinicians and researchers because of its high efficacy， low toxicity， and mild side effects. According to the TCM philosophy of treatment based on syndrome differentiation， the Chinese medicines with multiple targets， wide range， and mild side effects can be screened based on the molecular targets involved in the occurrence and development of OC， which can bring out the unique advantages of TCM in the treatment of OC. Modern studies have shown that the occurrence and development of OC are closely related to the abnormal expression of multiple signaling pathways. The continued abnormal activation of the signal transducer and activator of transcription 3 （STAT3） signaling pathway can lead to abnormal proliferation and malignancy of OC. cause abnormal proliferation and malignant transformation of OC， which is closely related to the development of OC. In addition， studies have shown that Chinese medicine can inhibit the proliferation， angiogenesis， invasion， and metastasis and promote the autophagy and apoptosis of OC cells by regulating the Janus kinase 2 （JAK2）/STAT3 signaling pathway， providing new therapeutic strategies and ideas for the prevention and treatment of OC. This paper summarizes the role of JAK2/STAT3 signaling pathway in OC development by reviewing the relevant articles and reviews the mechanism and research progress of active components and compound prescriptions of Chinese medicine intervening in OC development by regulating the JAK2/STAT3 signaling pathway. This review is expected to provide a systematic reference for clinical research and drug development of OC.

ObjectiveTo explore the effectiveness and safety of Shenlong Dingji Formula （参龙定悸方） on the quality of life in patients with paroxysmal atrial fibrillation （PAF） of qi-yin deficiency and phlegm-stasis obstructing collaterals syndrome. MethodsA total of 60 patients with PAF of qi-yin deficiency and phlegm-stasis obstructing collaterals syndrome were recruited and randomly divided into a treatment group and a control group， with 30 patients in each group. The control group received standard western medicine treatment， while the treatment group was additionally given Shenlong Dingji Formula orally， one dose per day. Both groups were treated for 4 weeks. The primary outcome measure is the Atrial Fibrillation Effect on Quality of Life （AFEQT） score including scores of four dimensions，i.e. atrial fibrillation-related symptoms， treatment concerns， daily activities， and treatment satisfaction. The secondary outcome measures included the frequency and duration of symptomatic atrial fibrillation episodes and traditional Chinese medicine （TCM） syndrome scores covering symptoms such as palpitations， chest tightness， fatigue， shortness of breath， reluctance to speak， spontaneous sweating， stabbing pain， and insomnia. These indicators were assessed at baseline （before treatment）， after 2-week of treatment， after 4-week of treatment， and 4 weeks after the end of treatment （follow-up）. Additionally， safety indicators before and after treatment and adverse events occurring during the trial were recorded to evaluate safety. ResultsA total of 56 patients completed the study， with 28 in each group. Primary outcome indicators： 1） the treatment group showed significant improvement in the total score of the AFEQT scale， with significantly higher total scores after 2-week treatment， 4-week treatment， and follow-up compared to the previous time point （P＜0.05）. In the control group， the AFEQT score significantly increased only after 4-week treatment compared to baseline （P＜0.05）. In the treatment group， the AFEQT scores after 2-week， 4-week treatment， and during follow-up were all higher than those of the control group at the corresponding time points （P＜0.01）. 2） In the treatment group， there was no statistically significant difference in the AFEQT treatment satisfaction dimension score during follow-up compared to that after 4-week treatment （P＞0.05）. However， the scores for all other dimensions at each time point were higher than those at the previous time point （P＜0.05）. In the control group， the scores for the atrial fibrillation-related symptom dimension were higher after 2-week and 4-week treatment than those of the previous time points （P＜0.05）. For the treatment satisfaction dimension， significant increases were observed only after 2-week and 4-week treatment compared to baseline （P＜0.05）. Secondary outcome indicators： 1） In the treatment group， the frequency and duration of symptomatic atrial fibrillation episodes decreased significantly at each time point compared to the previous time point （P＜0.05）， except for the duration of trial fibrillation at follow-up. In the control group， the frequency of episodes decreased significantly at all time points compared to baseline （P＜0.05）， while the duration of trial fibrillation showed a significant reduction at follow-up compared to those after 2-week treatment （P＜0.05）. 2） In the treatment group， TCM syndrome scores significantly reduced after 2-week treatment， 4-week treatment， and during follow-up compared to the previous time point and baseline （P＜0.05）. In the control group， significant reductions were observed only after 4-week after treatment and during follow-up （P＜0.05）. The TCM syndrome scores in the treatment group were lower than those in the control group at the same time points （P＜0.01）. No adverse events occurred during the trial in either group， and safety indicators showed no significant changes after treatment. ConclusionShenlong Dingji Formula effectively improves the quality of life， alleviates TCM syndromes， and reduces the frequency and duration of symptomatic atrial fibrillation in patients with PAF of qi-yin deficiency and phlegm-stasis obstructing collaterals syndrome， and demonstrates good safety.

OBJECTIVE To analyze the factors influencing patient satisfaction in the outpatient pharmacy of tertiary maternity and child specialist hospitals in Chongqing， and provide a reference for improving the pharmaceutical management capability of tertiary maternity and child specialist hospitals and enhancing patients’ medical experience. METHODS Utilizing KANO model， a questionnaire was developed and data were analyzed. Key influencing factors were identified through the categorization of requirement attributes， Better values， Worse values， and two-dimensional matrix analysis. The impact of these categorized demand factors on overall satisfaction was further validated through Structural Equation Modeling （SEM）. RESULTS Cronbach’s α coefficient for the survey questionnaire was 0.855， exceeding the acceptable threshold of 0.7； Bartlett test for sphericality yielded a value of 5 538.56 with P＜0.01， indicating good reliability and validity of the survey results. Through the KANO model’s factor selection process， the top four key factors influencing patient satisfaction in outpatient pharmacies were determined to be： medication pick-up time （r＝0.45）， pharmacist service attitude （r＝0.45）， rational medication consultation （r＝0.41）， self-service calling system （r＝0.40）， all of which were subsequently validated through SEM. CONCLUSIONS The four factors of medication pick-up time， self-service calling system， pharmacist service attitude， and rational medication consultation significantly influence patient satisfaction in the outpatient pharmacies of tertiary maternity and child hospitals in Chongqing.

The historical development of endogenous wind （内风） is traced with time as the thread， based on the progression of factors such as syndromes， causes of disease， and pathogenesis. It is believed that the concept of wind syndrome originated in The Inner Canon of Yellow Emperor （《黄帝内经》）， encompassing both exogenous wind （外风） and endogenous wind syndrome. Over time， exogenous wind syndrome gradually evolved into mild syndromes and severe syndromes， while endogenous wind syndrome emerged from severe syndromes of exogenous wind. Endogenous wind syndrome has both syndrome and pathogenic attributes， and its theoretical system has gradually become more refined. Based on the theories of ancient and modern medical practitioners， and combining the holistic perspectives with Xiang （象） thinking， it is proposed that endogenous wind has both physiological and pathological distinctions. The physiological endogenous wind refers to the liver's moderate dispersing and regulating function， which helps to distribute qi （气）， blood， and body fluids， while pathological endogenous wind arises from abnormal liver dispersal. Therefore， in clinical practice， different treatment methods， such as tonifying， unblocking， and warming， can be applied according to the differentiation of deficiency and excess in the pathogenesis.

Objective To construct programmed cell death protein-ligand 1(PD-LI)^hi tolerogenic dendritic cell (tol-DC) derived from bone marrow of DA rats and identify its immunological function. Methods DA rat bone marrow cells were extracted, combined with recombinant mouse granulocyte macrophage colony-stimulating factor and recombinant mouse interleukin (IL)-4, and cultured for 6 days in vitro to induce the differentiation of bone marrow cells into immature dendritic cells (imDC). Lipopolysaccharide was used to stimulate cell maturation and cultured for 2 days to collect mature dendritic cells (mDC). PD-L1 lentiviral vector virus stock solution or equivalent dose lentiviral stock solution was added, and PD-L1^hitol-DC and Lv-imDC were collected after culture for 2 days. The morphology of PD-L1^hitol-DC was observed by inverted phase contrast microscope and transmission electron microscope. Real-time fluorescence quantitative reverse transcription polymerase chain reaction, Western blotting and flow cytometry were used to detect the expression level of specific markers on cell surface. CD8⁺T cells derived from Lewis rat spleen were co-cultured with imDC, mDC, Lv-imDC and PD-L1^hitol-DC, respectively. The levels of inflammatory factors in the supernatant of each group were detected by enzyme-linked immunosorbent assay. The apoptosis of T cells and the differentiation of regulatory T cells (Treg) in each group were analyzed by flow cytometry. Results The morphology of PD-L1^hitol-DC modified by PD-L1 gene was consistent with tol-DC characteristics, and the expression levels of CD80, CD86 and major histocompatibility complex (MHC) on the surface were low. After mixed culture with CD8⁺ T cells, the levels of IL-10 and transforming growth factor (TGF) -β1 in the supernatant of PD-L1^hitol-DC group were higher, the levels of tumor necrosis factor (TNF) -α and IL-17A were lower, and the apoptosis of T cells and Treg differentiation were increased. Conclusions Overexpression of PD-L1 through lentiviral vectors may successfully induce the construction of bone-marrow derived PD-L1^hitol-DC in DA rats, promote the secretion of anti-inflammatory factors and T cell apoptosis, induce the differentiation of Treg, and inhibit the immune response of allogeneic CD8⁺T cells, which provides experimental basis for the next organ transplantation immune tolerance study.

AIM: To investigate the effects of insulin-like growth factor 1(IGF-1)on the secretion of transforming growth factor β2(TGF-β2), matrix metalloproteinase 2(MMP-2)and hypoxia-inducible factor 1α(HIF-1α)in human scleral fibroblasts(HSF)and their mechanism.METHODS: The cells were cultured with IGF-1 and PI3K/AKT pathway inhibitor LY294002, respectively. CCK-8 method was used to detect cell viability and determine the optimal concentration and time of drug action. Cell migration activity was observed by cell scratch method. To determine the effects of IGF-1 on HSF cells and the regulatory role of PI3K/AKT pathway, HSF cells were divided into control group(without drugs), IGF-1(80 μg/L)group, IGF-1+LY294002(80 μg/L+5 mmol/L)group, and LY294002(5 mmol/L)group, and were cultured for 24 h; the protein expression levels of TGF-β2, MMP-2, HIF-1α, PI3K and AKT were detected by Western blot; the fluorescence expression of TGF-β2, MMP-2 and HIF-1α was detected by cellular immunofluorescence.RESULTS: The results of CCK-8 showed that the cell viability of the 80 μg/L IGF-1 group cultured with different concentrations of IGF-1 was the highest(all P<0.05), and the cell viability of the 80 μg/L IGF-1 group at 24 h was the highest under different culture times. Therefore, the concentration of IGF-1 was selected as 80 μg/L for 24 h. The viability of cells cultured with different concentrations of LY294002 gradually decreased from 6 h(all P<0.05). According to the IC50 value, therefore, the concentration of LY294002 was selected as 5 mmol/L for 24 h. The cell scratch results showed that compared with the control group, the cell mobility of 40 μg/L and 80 μg/L IGF-1 groups was increased(all P<0.05). Compared with the control group, cell mobility in the 2.5 and 5 mmol/L LY294002 groups was decreased(all P<0.05). Western blot results showed that compared with the control group, the protein expressions of TGF-β2, MMP-2, HIF-1α, PI3K and AKT in the IGF-1 group were increased, while those in the LY294002 group were decreased(all P<0.05). Compared with the IGF-1 group, the expression levels of TGF-β2, MMP-2, HIF-1α, PI3K and AKT in the IGF-1+LY294002 group were decreased(all P<0.05). The results of cell immunofluorescence showed that compared with the control group, the fluorescence expressions of TGF-β2, MMP-2 and HIF-1α in the IGF-1 group were increased, while those in the LY294002 group were decreased(all P<0.05). Compared with the IGF-1 group, the fluorescence expressions of TGF-β2, MMP-2 and HIF-1α in the IGF-1+LY294002 group were significantly decreased(all P<0.05).CONCLUSION: IGF-1 promoted the proliferation and migration of human HSF. IGF-1 may up-regulate the expression of TGF-β2, MMP-2 and HIF-1α in HSF through the PI3K/AKT signaling pathway, and participate in the occurrence and development of myopia.

ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

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.