Objective To explore the mediating role of occupational well-being in the relationship between professional identity and safety behavior among nurses. Methods A total of 1 006 nurses from ten tertiary general hospitals in eight provincial administrative regions were selected as the research subjects using convenient sampling method. Their safety behavior, professional identity and occupational well-being were investigated using Nurse Safety Behavior Scale, Nurse Professional Identity Scale and Occupational Well-being Scale. Structural equation modeling was performed using AMOS 26.0 to examine the mediating effect of occupational well-being in the relationship between professional identity and safety behavior among nurses. Results The scores for safety behavior, professional identity, and occupational well-being were (53.0±6.1), (123.7±21.2) and (90.8±13.1), respectively. Safety behavior was positively correlated with both professional identity and occupational well-being (correlation coefficients were 0.50 and 0.50, respectively, both P<0.01). Professional identity was positively correlated with occupational well-being (correlation coefficient was 0.51, P<0.01). The multiple linear regression analysis results showed that the higher the professional identity and occupational well-being of nurses, the higher the level of safety behavior (both P<0.05). The result of mediating effect shows that the total effect of occupational identity on safety behavior was 0.498 [95% confidence interval (CI) was 0.405-0.576], and occupational well-being played a mediating role between professional identity and safety behavior among nurses with the mediation effect of 0.156 (95%CI was 0.112-0.205), accounting for 31.33% of the total effect. Conclusion The safety behavior of nurses is at a moderate level. Both professional identity and occupational well-being can affect the safety behavior of nurses. Professional identity can increase the safety behavior of nurses by affecting occupational well-being.

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.

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.

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder affecting a substantial proportion of women of reproductive age. It is frequently associated with ovulatory dysfunction, infertility, and an increased risk of chronic metabolic diseases. A hallmark pathological feature of PCOS is the arrest of follicular development, closely linked to impaired intercellular communication between the oocyte and surrounding granulosa cells. Transzonal projections (TZPs) are specialized cytoplasmic extensions derived from granulosa cells that penetrate the zona pellucida to establish direct contact with the oocyte. These structures serve as essential conduits for the transfer of metabolites, signaling molecules (e.g., cAMP, cGMP), and regulatory factors (e.g., microRNAs, growth differentiation factors), thereby maintaining meiotic arrest, facilitating metabolic cooperation, and supporting gene expression regulation in the oocyte. The proper formation and maintenance of TZPs depend on the cytoskeletal integrity of granulosa cells and the regulated expression of key connexins, particularly CX37 and CX43. Recent studies have revealed that in PCOS, TZPs exhibit significant structural and functional abnormalities. Contributing factors—such as hyperandrogenism, insulin resistance, oxidative stress, chronic inflammation, and dysregulation of critical signaling pathways (including PI3K/Akt, Wnt/β‑catenin, and MAPK/ERK)—collectively impair TZP integrity and reduce their formation. This disruption in granulosa-oocyte communication compromises oocyte quality and contributes to follicular arrest and anovulation. This review provides a comprehensive overview of TZP biology, including their formation mechanisms, molecular composition, and stage-specific dynamics during folliculogenesis. We highlight the pathological alterations in TZPs observed in PCOS and elucidate how endocrine and metabolic disturbances—particularly androgen excess and hyperinsulinemia—downregulate CX43 expression and impair gap junction function, thereby exacerbating ovarian microenvironmental dysfunction. Furthermore, we explore emerging therapeutic strategies aimed at preserving or restoring TZP integrity. Anti-androgen therapies (e.g., spironolactone, flutamide), insulin sensitizers (e.g., metformin), and GLP-1 receptor agonists (e.g., liraglutide) have shown potential in modulating connexin expression and enhancing granulosa-oocyte communication. In addition, agents such as melatonin, AMPK activators, and GDF9/BMP15 analogs may promote TZP formation and improve oocyte competence. Advanced technologies, including ovarian organoid models and CRISPR-based gene editing, offer promising platforms for studying TZP regulation and developing targeted interventions. In summary, TZPs are indispensable for maintaining follicular homeostasis, and their disruption plays a pivotal role in the pathogenesis of PCOS-related folliculogenesis failure. Targeting TZP integrity represents a promising therapeutic avenue in PCOS management and warrants further mechanistic and translational investigation.

Aim To explore the effect of oxaliplatin combined with epidermal growth factor receptor tyrosine kinase inhibitor AG1478 on autophagy in non-small cell lung cancer H1975 cells. Methods H1975 cells were cultured in vitro using gradient concentrations of AG1478 (0, 5, 10, 15, 20, 25, 30, 35, 40 jjimol • IT

OBJECTIVE To establish the quality standard of Triadica cochinchinensis and to perform the acute toxicity study. METHODS Appearance properties, powder microscopic identification, and thin-layer chromatography(TLC) identification were researched. The specific chromatogram was established by HPLC. The content of cadmium(Cd), lead(Pb), arsenic(As), copper(Cu), and mercury(Hg) was determined by inductively coupled plasma-mass spectrometry(ICP-MS). Acute toxicity was studied by maximum dose. RESULTS The outer skin of herbs was dark brown, and the inner surface was light yellow brown and fibrous. Besides, crystal sheath fiber was common, and calcium oxalate clusters arranges in rows. In the TLC diagram of the test product, the fluorescent spots of the same color were displayed at the corresponding position of the control product(scopoletin, isofraxidin). Five common peaks were calibrated in the characteristic map and the three characteristic peaks(scopoletin, isofraxidin, dimethylfraxetin) were recognized. The content of the measured heavy metal elements was lower than the national limit standard. The linear correlation coefficient was R2 > 0.999. The precision, stability, repetitive RSD were < 10%. The average recovery rate of the added sample was 80%−120%, and the RSD was < 10%. The maximum dose of the acute toxicity test was 184.09 g·kg−1. The 14 d internal body mass, food intake, organ-body ratios, the serum glutamic pyruvic transaminase, glutamic oxaloacetic transaminase, blood urea nitrogen, and creatinine were not significantly different by comparing with the normal controls. Therefore, no significant toxicity was observed. CONCLUSION The established standard can provide a reference for evaluating the quality of Triadica cochinchinensis. The heavy metal content of ten batches of medicinal materials is within the safe range. Acute toxicity test show that there is no obvious significant adverse teactions after oral administration, and the safe dose range is large, which can provide a reference for the subsequent development and utilization.

ObjectiveTo explore the metabolic changes during the development of Tupaia belangeri breast tumors, to investigate the close relationship between the changes of serum metabolic substances and the occurrence and progression of tumors, and to screen for biomarkers reflecting the progression of breast tumors. MethodsBreast tumors in Tupaia belangeri were induced by orally administering 7,12-dimethylbenzoanthracene (DMBA) three times, with a 15-day interval between each administration, along with a high-fat and high-sugar diet. The DMBA-induced breast cancer group and the DMBA-inducedwithout breast cancer group were compared with the control group. Untargeted determination of serum metabolites was performed using gas chromatography-time-of-flight mass spectrometry (GC-TOFMS) in DMBA-induced Tupaia belangeri with breast cancer, DMBA-induced without breast cancer and the control group. Multidimensional statistical analysis including unsupervised principal component analysis (PCA), and orthogonal partial least squares analysis (OPLS-DA) were conducted. Furthermore, t-test was used for intergroup differential comparison. Differential metabolites were screened under VIP>1 and P<0.05 conditions, and significantly changing differential metabolites were identified using the HMDB online database. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database was utilized to enrich metabolic-related gene regulatory pathways. ResultsThe incidence of breast tumors was 40% in DMBA-induced Tupaia belangeri. Compared with the control group, 30 metabolic differential products were detected in the serum of the group with breast cancer, with 18 down-regulated and 12 up-regulated (VIP>1, P<0.05). KEGG pathway analysis revealed significant changes in four metabolic pathways: glutamate metabolism, glyceride metabolism, citric acid cycle, and alanine metabolism. Compared with the group without breast cancer, 18 metabolic differential products were detected, with 7 down-regulated and 11 up-regulated (VIP>1, P<0.05). KEGG pathway analysis revealed significant changes in the citric acid cycle and glutamate metabolism. Compared with the control group, 31 metabolic differential products were detected in the serum of the groups without breast cancer, with 14 down-regulated and 17 up-regulated (VIP>1, P<0.05). KEGG pathway analysis revealed significant changes in three metabolic pathways: glutamate metabolism, glyceride metabolism, and citric acid cycle. ConclusionMetabolomics analysis can reveal the characteristics of changes in metabolites in the serum of breast tumors. The results suggest that glutamate metabolism, glyceride metabolism, citric acid cycle, and alanine metabolism pathways are associated with the occurrence and development of DMBA-induced breast tumors in Tupaia belangeri. It provides a foundation for further research into the biological mechanism of breast cancer.

Separation and determination of chiral and achiral impurities in glimepiride tablets by supercritical fluid chromatography. Chiral and achiral impurities were separated on a ACQUITY UPC² Trefoil^TM CEL1 column (150 mm × 3.0 mm, 2.5 μm) maintained at 30 ℃ with the mobile phase containing a mixture of CO₂ and methanol-isopropanol (1∶1) at 1 mL·min^-1, and the detection wavelength was set at 228 nm. The back pressure was set at 13.8 MPa. The injection volume was 5 μL. In the chromatogram of the system suitability solution, the peaks elute in the following order: impurity Ⅳ, impurity Ⅴ, glimepiride, impurity Ⅲ, impurity Ⅰ and impurity Ⅱ. The six substances were separated successfully in 6 min using the proposed method with a resolution factor of 2.9, 1.6, 3.0, 2.0, 6.4. The impurity Ⅰ-Ⅴ detection limit (S/N = 3) was 0.17, 0.10, 0.06, 0.15, 0.10 μg·mL^-1, respectively. Good linear relationship was established between the peak response and the concentration in the range of 0.48-51.30 μg·mL^-1 for all impurities. The spiked recovery of impurity Ⅰ-Ⅴ was found to be acceptable for 99.9%, 98.9%, 102.1%, 100.1%, 96.3% (n = 9), respectively. The related substance and assay results of 11 sample batches are consistent with the results obtained using the HPLC method in the Chinese Pharmacopoeia. Compared to the two HPLC methods in the Chinese Pharmacopoeia, the established supercritical fluid chromatography method can simultaneously separate glimepiride and its 5 impurities in a single run, and it has the following advantages: simplified sample preparation, greatly reducing the volumes of organic solvents, environmentally friendly, high accuracy and good reproducibility. It can be employed for the quality control of the chiral and achiral impurities in glimepiride tablets.