Background Prehospital emergency medical personnel (PEMP) are exposed to long-term high-pressure work, which can exacerbate psychological distress and impair job satisfaction and sleep quality. However, in-depth research on the interactions among these factors is lacking. Objective To assess the status of psychological distress, job satisfaction, and sleep quality of PEMP in Guangzhou and to explore the mediating role of sleep quality in the relationship between psychological distress and job satisfaction. Methods From February to May 2025, 1085 PEMP from "120" emergency network hospitals in Guangzhou were selected using convenience sampling. Data were collected via the General Information Questionnaire, Kessler Psychological Distress Scale, Minnesota Satisfaction Questionnaire, and Pittsburgh Sleep Quality Index. Statistical analyses were performed using SPSS 25.0, and The mediation model of sleep quality in linking psychological distress and job satisfaction was constructed using AMOS 28.0. The bias-corrected Bootstrap method was employed to assessed the significance of the mediating effect. Results A total of 1063 valid responses were received (97.97% valid response rate). The mean scores were: psychological distress (27.99±10.75), job satisfaction (69.45±15.84), and sleep quality (9.82±4.47). Significant differences in the three scores were found across gender, age, monthly night shift frequency, and hospital grade (P<0.05). Higher job satisfaction was linked to lower psychological distress and better sleep quality and its dimensions, while psychological distress directly correlated with poorer sleep quality (P<0.01). Sleep quality partially mediated the relationship between psychological distress and job satisfaction, with a mediating effect of −0.195, accounting for 43.62% of the total effect. Conclusion The participants report moderate psychological distress, moderate-to-high job satisfaction, and poor sleep quality. Psychological distress directly affects job satisfaction and indirectly through its impact on sleep quality. Interventions aimed at improving sleep health and mental health are essential to improve personnel well-being and work efficiency.

Background Prehospital emergency medical personnel (PEMP) are exposed to long-term high-pressure work, which can exacerbate psychological distress and impair job satisfaction and sleep quality. However, in-depth research on the interactions among these factors is lacking. Objective To assess the status of psychological distress, job satisfaction, and sleep quality of PEMP in Guangzhou and to explore the mediating role of sleep quality in the relationship between psychological distress and job satisfaction. Methods From February to May 2025, 1085 PEMP from "120" emergency network hospitals in Guangzhou were selected using convenience sampling. Data were collected via the General Information Questionnaire, Kessler Psychological Distress Scale, Minnesota Satisfaction Questionnaire, and Pittsburgh Sleep Quality Index. Statistical analyses were performed using SPSS 25.0, and The mediation model of sleep quality in linking psychological distress and job satisfaction was constructed using AMOS 28.0. The bias-corrected Bootstrap method was employed to assessed the significance of the mediating effect. Results A total of 1063 valid responses were received (97.97% valid response rate). The mean scores were: psychological distress (27.99±10.75), job satisfaction (69.45±15.84), and sleep quality (9.82±4.47). Significant differences in the three scores were found across gender, age, monthly night shift frequency, and hospital grade (P<0.05). Higher job satisfaction was linked to lower psychological distress and better sleep quality and its dimensions, while psychological distress directly correlated with poorer sleep quality (P<0.01). Sleep quality partially mediated the relationship between psychological distress and job satisfaction, with a mediating effect of −0.195, accounting for 43.62% of the total effect. Conclusion The participants report moderate psychological distress, moderate-to-high job satisfaction, and poor sleep quality. Psychological distress directly affects job satisfaction and indirectly through its impact on sleep quality. Interventions aimed at improving sleep health and mental health are essential to improve personnel well-being and work efficiency.

As a new type of model organism， zebrafish is gradually gaining prominence in the field of scientific research. The unique biological characteristics and advantages of zebrafish make them play an increasingly important role in the quality evaluation of traditional Chinese medicine. Compared with other common experimental animals， zebrafish have a fast reproductive and growth speed and high embryo transparency， making them an ideal model for evaluating the quality of traditional Chinese medicine. This provides a new perspective and method for research on traditional Chinese medicine. With the growing global interest in traditional Chinese medicine， it has become crucial to find scientific and accurate methods to evaluate the quality and effectiveness of traditional Chinese medicine. The introduction of the zebrafish model has brought new breakthroughs in the quality evaluation of traditional Chinese medicine. To further promote the application of zebrafish in evaluating the quality of traditional Chinese medicine， this article systematically searched and sorted out the previous studies related to the application of zebrafish for this purpose since 2023. The commonly used disease models and indicators of zebrafish in evaluating the effectiveness of traditional Chinese medicine， as well as the mechanism of zebrafish in exploring the active ingredients of traditional Chinese medicine， were primarily reviewed. The application of zebrafish in evaluating the safety of traditional Chinese medicine and the typical examples in ensuring the quality of traditional Chinese medicine were demonstrated. The limitations encountered by zebrafish models in evaluating the quality of traditional Chinese medicine were highlighted. The resolution of these problems will help further improve the accuracy and reliability of zebrafish in evaluating the quality of traditional Chinese medicine. The article discussed the evaluation of effectiveness， safety， and quality control of zebrafish applied in traditional Chinese medicine， so as to provide a reference for establishing standards for traditional Chinese medicine and promoting its modernization in the future.

ObjectiveBased on the zebrafish model， the hepatotoxicity and anti-osteoporotic activity of evodiamine （EVO） were studied. The mechanism of EVO in treating osteoporosis was explored by using network pharmacology and real-time polymerase chain reaction（Real-time PCR）. MethodsThree days after fertilization （3 dpf）， zebrafish were randomly selected and exposed to different concentrations of EVO solution for 96 hours. The mortality rate of zebrafish at different concentrations was calculated at the exposure endpoint， and a "dose-toxicity" curve was drawn. The 10% lethal concentration （LC₁₀） was calculated. Liver phenotype， acridine orange staining， and pathological tissue sections of liver-transgenic zebrafish ［CZ16 （gz15Tg.Tg （fabp 10a： ds Red； ela31： EGFP））］ were used to confirm hepatotoxicity of EVO. On this basis， prednisolone was used to create a model of osteoporosis in zebrafish. The skull development， area of the skull stained by alizarin red， and cumulative optical density were used as indicators to evaluate the anti-osteoporotic activity of EVO in a safe dose. Based on network pharmacology， the mechanism of action of EVO in the treatment of osteoporosis was predicted and verified through Real-time PCR. ResultsThe LC₁₀ of EVO on zebrafish （7 dpf） was determined to be 0.4 mg·L^-1. Compared with the control group， sublethal concentrations （10=0.36 mg·L^-1 and 1/2LC₁₀=0.18 mg·L^-1） significantly decreased the fluorescence area of zebrafish liver （P<0.05，P<0.01） and increased the number of liver cell apoptosis. The arrangement of liver tissue was disordered and loose， and the vacuole was obvious， especially in the 0.36 mg·L^-1 group. Compared with the control group， under safe dose conditions， 0.08 and 0.02 mg·L^-1 of EVO had no significant effect on the liver. Prednisolone administration significantly reduced the mineralization area and cumulative optical density of zebrafish skulls （P<0.01） compared with the control group. The mineralization area and cumulative optical density of zebrafish skulls in the 0.08 and 0.02 mg·L^-1 groups of EVO were significantly increased compared with the model group （P<0.01）. Network pharmacology prediction suggested that EVO may regulate key targets such as avian sarcoma viral oncogene homolog （SRC）， signal transducer and activator of transcription 3 （STAT3）， interleukin-8 （CXCL8） and tyrosine kinase receptor 2 （ERBB2） to regulate signaling pathways related to lipid and atherosclerosis in diabetic complications， as well as the regulation of inflammatory mediators of tryptophan （TRP） channels. Real-time PCR experiment results indicated that EVO could regulate the above-mentioned targets， as well as genes related to osteoblasts and osteoclasts. ConclusionExcessive doses of EVO can lead to hepatotoxicity in zebrafish. Under safe dosage conditions， EVO can regulate relevant targets to exert anti-osteoporotic activity， providing a reference for the clinical safe use of EVO and ideas for the development of new drugs for osteoporosis.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Objective:To establish a nomogram prediction model for severe postpartum hemorrhage in subsequent pregnancies after multiple cesarean sections.Methods:A retrospective analysis was performed for the clinical and imaging data of 395 pregnant and par-turient women with multiple cesarean section who were hospitalized for delivery from January 2021 to December 2023.Univariate analysis and multivariate logistic regression analysis were used to investigate the risk factors for severe postpartum hemorrhage in sub-sequent pregnancies after multiple cesarean sections.A nomogram prediction model was established and validated in terms of specific-ity,accuracy,and clinical decision-making utility.Results:Among the 395 patients,131 experienced severe postpartum hemorrhage,accounting for 33.16%.The univariate analysis showed that times of pregnancy,times of vaginal delivery,grade of hospitals for previ-ous surgeries,number of prenatal checkups during this time of pregnancy,pregnancy-induced hypertension,gestational diabetes,pla-centa previa,location of placenta,association between placenta and uterus,and whether emergency cesarean section was performed were risk factors for severe postpartum hemorrhage in subsequent pregnancies after multiple cesarean sections(P<0.05).The multivari-ate logistic regression analysis showed that times of pregnancy,number of prenatal checkups,gestational diabetes,position of placenta,and whether emergency cesarean section was performed were independent risk factors for severe postpartum hemorrhage in subsequent pregnancies after multiple cesarean sections(P<0.05).A nomogram prediction model was established based on these independent risk factors,which had an area under the ROC curve of 0.783(95%CI=0.732-0.834),and there was a good consistency between the pre-dicted probability curve and the observed frequency curve.When the probability of severe postpartum hemorrhage predicted by the nomogram model was within the range of 0.15-1.0,the model has a good value of clinical decision-making.Conclusion:The incidence rate of severe postpartum hemorrhage in this population can be re-duced by attending regular prenatal checkups,controlling preg-nancy complications,and reducing the rate of emergency cesarean section and the number of deliveries.The nomogram prediction model established in this study has certain clinical application prospects.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.

Objective Based on the"preventive treatment of disease"theory and real-world data,this study aimed to evaluate the clinical efficacy of Yangyin Shugan Formula in patients with ovarian dysfunction characterized by the syndrome of kidney deficiency and liver depression at different stages and to provide evidence for optimizing the timing of traditional Chinese medicine(TCM)in premature ovarian insufficiency(POI)management.Methods Ovarian dysfunction patients under 40 years old characterized by syndrome of kidney deficiency and liver depression,registered in the outpatient electronic medical records of the Second Affiliated Hospital of Guangzhou University of Chinese Medicine from January 2020 to December 2023,were stratified into three groups:subclinical POI,POI,and premature ovarian failure(POF)groups.The therapeutic outcomes of the three groups of patients were compared,including TCM syndrome total response rates,menstrual total response rates/normalization(cured)rates,base follicle-stimulating hormone(FSH)total response rate/normalization rates and anti-Müllerian hormone(AMH)levels.Results A total of 307 patients meeting the research criteria were included(97 cases in subclinical POI group,112 cases in POI group,and 98 cases in POF group).The TCM syndrome total response rates ranked as subclinical POI group(98.97%,96/97)>POI group(95.54%,107/112)>POF group(83.67%,82/98),with the POF group was lower than that of the subclinical POI and POI groups(P<0.017);while the difference of the subclinical POI group with the POI group was not significant.Menstrual total response rates ranked as subclinical POI group(97.22%,70/72)>POI group(72.32%,81/112)>POF group(51.02%,50/98),the differences among the three groups and in the post-hoc comparisons were significant(P<0.01,P<0.017);normalization rates ranked as subclinical POI group(90.28%,65/72)>POI group(54.46%,61/112)>POF group(26.53%,26/98),the differences among the three groups and in the post-hoc comparisons were significant(P<0.01,P<0.017).FSH total response rates ranked as subclinical POI group(89.69%,87/97)>POI group(81.25%,91/112)>POF group(60.20%,59/98),while POF group was lower than that of the other two groups(P<0.017),and the difference of the subclinical POI group with the POI group was not significant.Normalization FSH rates ranked as subclinical POI group(71.13%,69/97)>POI group(53.57%,60/112)>POF group(16.33%,16/98),the differences among the three groups and in the post-hoc comparisons were significant(P<0.01,P<0.017).Compared with before treatment,the FSH levels in all three groups decreased after treatment(P<0.01).The reduction of FSH in the POF and POI groups were better than that in the subclinical P OI group(P<0.017).No significant difference was observed in the reduction of FSH between the POI and POF groups.Post-treatment AMH elevation observed in the subclinical POI and POI groups(P<0.01).Conclusion Yangyin Shugan Formula improves the menstrual conditions and TCM syndromes across all the stages.It also improves elevated FSH levels across all the stages and has a specific effect on normalizing FSH and menstruation.Yangyin Shugan Formula increases the AMH levels of patients with subclinical POI and POI,highlighting the applicability of TCM in staged preventive management.

Objective To explore the potential mechanism of Xinnao Maikang in improving ApoE-/-atherosclerosis mice based on PPARγ/LXRα/ABCA1 pathway.Methods Totally 50 ApoE-/-mice were randomly divided into model group,atorvastatin group,Xinnao Maikang high-,medium-and low-dosage groups,and fed with high-fat diet for 12 weeks to establish atherosclerosis model.Another 10 C57BL/6J mice were selected as normal group,and atorvastatin group was given atorvastatin calcium suspension by intragastric administration,Xinnao Maikang high-,medium-and low-dosage groups were given Xinnao Maikang Decoction 56,28,14 g/kg by intragastric administration,the normal group and model group were given equal volume of normal saline by intragastric administration for 8 weeks.Liver index of mice was detected,serum lipid level of mice was detected by automatic biochemical analyzer,TC and TG contents in liver tissue were detected by biochemical kit,morphology of aortic intima and liver tissue were observed by HE staining,lipid deposition in liver tissue was observed by oil red O staining,the expressions of PPARγ,LXRα,ABCA1,ABCG1 and SR-BⅠ in liver tissue were detected by Western blot.Results Compared with the normal group,the liver index in the model group significantly increased(P<0.05),the contents of serum TC,TG and LDL-C significantly increased(P<0.05),and the contents of HDL-C significantly decreased(P<0.05),the contents of TC and TG in liver tissue increased(P<0.05),the aortic wall was thickened,the number of subcutaneous foam cells increased,the arrangement of liver cells were disaffected,and a large number of fat vacuoles could be seen,the protein expressions of PPARγ,LXRα,ABCA1,ABCG1 and SR-BⅠ in liver tissue significantly decreased(P<0.01).Compared with the model group,the liver index of Xinnao Maikang high-,medium-and low-dosage groups and atorvastatin group significantly decreased(P<0.05),the serum contents of TC,TG and LDL-C significantly decreased(P<0.05),and the HDL-C contents significantly increased(P<0.05),the contents of TC and TG in liver tissue significantly decreased(P<0.05),the aortic wall thickened and the subcutaneous foam cells decreased,the liver cells were arranged neatly,and fat degeneration was reduced to varying degrees,the protein expressions of PPARγ,LXRα,ABCA1,ABCG1 and SR-BⅠ in liver tissue of Xinnao Maikang high-dosage group and atorvastatin group significantly increased(P<0.05,P<0.01).Conclusion Xinnao Maikang can decrease blood lipid level,reduce atherosclerotic plaque and reduce lipid deposition in liver of atherosclerotic mice,and its mechanism may be related to regulating PPARγ/LXRα/ABCA1 pathway,regulating lipid metabolism,promoting reverse cholesterol transport.