Objective: To investigate the efficacy of magnesium-strontium co-doped hydroxyapatite mineralized collagen (MSHA/Col) in improving the bone repair microenvironment and enhancing bone regeneration capacity, providing a strategy to address the insufficient biomimetic composition and limited bioactivity of traditional hydroxyapatite mineralized collagen (HA/Col) scaffolds. Methods: A high-molecular-weight polyacrylic acid-stabilized amorphous calcium magnesium strontium phosphate precursor (HPAA/ACMSP) was prepared. Its morphology and elemental distribution were characterized by high-resolution transmission electron microscopy (TEM) and energy-dispersive spectroscopy. Recombinant collagen sponge blocks were immersed in the HPAA/ACMSP mineralization solution. Magnesium-strontium co-doped hydroxyapatite was induced to deposit within collagen fibers (experimental group: MSHA/Col; control group: HA/Col). The morphological characteristics of MSHA/Col were observed using scanning electron microscopy (SEM). Its crystal structure and chemical composition were analyzed by X-ray diffraction and Fourier transform infrared spectroscopy, respectively. The mineral phase content was evaluated by thermogravimetric analysis. The scaffold's porosity, ion release, and in vitro degradation performance were also determined. For cytological experiments, CCK-8 assay, live/dead cell staining, alkaline phosphatase staining, alizarin red S staining, RT-qPCR, and western blotting were used to evaluate the effects of the MSHA/Col scaffold on the proliferation, viability, early osteogenic differentiation activity, late mineralization capacity, and gene and protein expression levels of key osteogenic markers [runt-related transcription factor 2 (Runx2), collagen type Ⅰ (Col-Ⅰ), osteopontin (Opn), and osteocalcin (Ocn)] in mouse embryonic osteoblast precursor cells (MC3T3-E1). Results: HPAA/ACMSP appeared as amorphous spherical nanoparticles under TEM, with energy spectrum analysis showing uniform distribution of carbon, oxygen, calcium, phosphorus, magnesium, and strontium elements. SEM results of MSHA/Col indicated successful complete intrafibrillar mineralization. Elemental analysis showed the mass fractions of magnesium and strontium were 0.72% (matching the magnesium content in natural bone) and 2.89%, respectively. X-ray diffraction revealed characteristic peaks of hydroxyapatite crystals (25.86°, 31°-34°). Infrared spectroscopy results showed characteristic absorption peaks for both collagen and hydroxyapatite. Thermogravimetric analysis indicated a mineral phase content of 78.29% in the material. The scaffold porosity was 91.6% ± 1.1%, close to the level of natural bone tissue. Ion release curves demonstrated sustained release behavior for both magnesium and strontium ions. The in vitro degradation rate matched the ingrowth rate of new bone tissue. Cytological experiments showed that MSHA/Col significantly promoted MC3T3-E1 cell proliferation (130% increase in activity at 72 h, P < 0.001). MSHA/Col exhibited excellent efficacy in promoting osteogenic differentiation, significantly upregulating the expression of osteogenesis-related genes and proteins (Runx2, Col-Ⅰ, Opn, Ocn) (P < 0.01). Conclusion The MSHA/Col scaffold achieves dual biomimicry of natural bone in both composition and structure, and effectively promotes osteogenic differentiation at the genetic and protein levels, breaking through the functional limitations of pure hydroxyapatite mineralized collagen. This provides a new strategy for the development of functional bone repair materials

To evaluate the application value of the Peyton four-step teaching method in the standardized training of intestinal ultrasound and compare it with traditional teaching methods, so as to provide an optimized approach for clinical ultrasound training.

ObjectiveTo explore the role of the histone deacetylase Sirtuin-1 （SIRT1）/p53 signaling pathway in promoting apoptosis of non-small cell lung cancer cells （NSCLC） induced by the co-stimulatory molecule B7 homolog 3 （B7-H3）. MethodsThe GEPIA 2 platform was used for survival analysis of NSCLC patients based on B7⁃H3 gene expression levels. The Gene Enrichment Analysis （GSEA） method was used to analyze the enrichment characteristics of B7⁃H3 molecules in the gene set of cell apoptosis. In the non-small cell lung cancer A549 cell line， B7⁃H3 was knocked down， and the protein expression levels of SIRT1 and p53 were detected by Western blot. B7⁃H3 was overexpressed in A549 cells and the apoptosis rate was analyzed by flow cytometry after Annexin V/PI double staining. Overexpression of B7⁃H3 and knockdown of SIRT1 were performed in A549 cell line. The expression levels of p53 and apoptosis-related proteins B-cell lymphoma/leukemia-2 （Bcl-2） and Bcl-2-associated X protein （Bax） were detected respectively by Western blot. Cell apoptosis rate was analyzed by flow cytometry after Annexin V/PI double staining. ResultsThe overall survival of the B7-H3 high-expression group was significantly lower than that of the low-expression group （P<0.01）. B7-H3 was significantly enriched in the cell apoptosis signaling pathway and the p53 signaling pathway （P<0.05）. Compared with the control group， the expression of SIRT1 was significantly downregulated， and p53 was significantly upregulated in the B7⁃H3 knockdown group （both P<0.001）. Overexpression of B7-H3 significantly up-regulated SIRT1 protein expression （P<0.05）， down-regulated p53 expression （P<0.01）， and markedly increased the Bcl-2/Bax ratio of apoptosis-related proteins （P<0.001）. The results of Annexin V/PI double staining showed that the apoptosis rate of A549 cells with overexpressed B7⁃H3 decreased （the apoptosis rate of the control group was 26.72%±4.13%， while that of the B7⁃H3 overexpression group was 13.87%±0.82%； P<0.01）. In B7-H3-overexpressing cell lines， SIRT1 knockdown significantly reversed apoptosis （P<0.05）， up-regulated p53 protein expression （P<0.001）， and markedly reduced the Bcl-2/Bax ratio （P<0.001）. ConclusionB7-H3 molecule inhibits the apoptosis of non-small cell lung cancer cells via the SIRT1/p53 signaling pathway.

Background Ozone (O₃) is a major air pollutant. The existing monitoring system has uneven distribution of sites, insufficient coverage in underdeveloped areas, and low temporal resolution, making it difficult to obtain hourly data. This limits the dynamic identification of pollution and the formulation of prevention and control strategies. Objective To construct an hourly O₃ concentration estimation model based on ensemble machine learning, aiming to improve the accuracy of pollution exposure assessment and explore O₃ health impacts. Methods This study integrated land use regression modeling with modern machine learning techniques, employing random forest and XGBoost algorithms to construct base models, and stacking integration using non-negative least squares. The ensemble model was trained and validated across China using high-resolution, multi-source geographic data (e.g., meteorologicaldata, population density, land cover types, and aerosol optical thickness). It was tested in Taiyuan City, combined with a distributed lag non-linear model to analyze the association between O₃ and emergency admissions. Results The constructed ensemble model performed well in predicting O₃ concentration, with a higher coefficient of determination (R²) and a lower root-mean-square deviation (RMSE) compared to the single models. The R² improved from 0.90 to 0.92, and the RMSE decreased from 11.41 to 10.62, enhancing both prediction accuracy and generalization ability. In the application to Taiyuan City, the model successfully imputed the hourly-level data for the entire year. The distributed lag non-linear model analysis revealed that the relative risk (RR) values for the 6th to 8th days following O₃ exposure were 1.14 (95%CI: 1.01, 1.29), 1.16 (95%CI: 1.02, 1.31), and 1.14 (95%CI: 1.01, 1.29), respectively, which were significantly higher than 1, indicating a significant lagged association (lagged 6-8 d) between O₃ and the number of emergency room visits. Conclusion A high-precision, hourly-level O₃ concentration estimation model is successfully constructed by combining the land use regression model with an ensemble machine learning approach to provide a scientific basis for environmental policy formulation and public health intervention. The application of the model verifies its generalization ability and practical application value, which can provide a new technical framework for subsequent environmental health research.

Objective: To understand current state of physical health levels of first year students in different body mass index (BMI) categories in Ningxia universities, and to explore the correlation between BMI and physical fitness index (PFI), so as to provide a reference for enhancing physical health levels of university students. Methods: In November 2024, physical fitness test data from 16 631 first year students across four universities in Yinchuan City, Ningxia from 2019 to 2023 were collected by adopting convenience and stratified cluster random sampling methods. The PFI was calculated using the Z score of the physical fitness test results, and a nonlinear quadratic model was established via least squares regression to examine the relationship between BMI and PFI among university students. Results: The BMI for males was (21.69±3.53)kg/m 2, while for females was (20.78±2.94)kg/m 2. The composite score for males physical fitness (69.86±9.25) was lower than that for females (72.24± 8.15 ), with a statistically significant difference ( t =-17.54, P <0.01). Moreover, the failure rates of various physical fitness indicators (vital capacity, sit and reach, standing long jump, pull ups/1 minute sit ups, 1 000 m/800 m run) were higher among males than females ( χ 2=103.48, 72.45, 14.38, 5 134.85, 188.89, all P <0.01). Comparisons across BMI categories revealed that among males, the normal weight group outperformed other groups in the 50 m sprint, standing long jump, 1 000 m sprint, composite score, and PFI ( F =89.17, 113.90, 179.02, 573.35, 593.08); among female students, the normal weight group outperformed other groups in the 50 m sprint, sit and reach, 800 m run, composite score, and PFI ( F =10.67, 19.58 , 96.45, 294.05, 183.45) (all P <0.01). The relationship between BMI and PFI among first year students exhibited a parabolic change trend, students with a moderate BMI demonstrated higher PFI, and as BMI increased, PFI decreased (all P <0.01). Conclusions The physical health level of male students in Ningxia universities is lower than that of female students. There is a correlation between BMI classification and PFI. Tailored intervention measures should be implemented according to the physical characteristics of students across different genders and BMI classifications to enhance university students physical health.

Objective To construct mice hepatocellular carcinoma models with different tumor immune microenvironments(TIME)and explore the differences.Methods H22 and hepa1-6 were used to construct subcutaneous transplantation tumor model of C57 mice as homologous hepatocellular carcinoma cell lines(denoted as H22 group and hepal-6 group,each n=8),and the differences of TIME were evaluated.Immunohistochemistry was used to detect and quantify the infiltration of T cells,CD4+T cells,CD8+T cells,regulatory T cells and B cells in TIME.Flow cytometry was performed to detect the differences of composition of immune cell subpopulations in peripheral blood and tumor parenchyma.Gene expression profile characteristics of tumor tissue were analyzed based on high-throughput transcriptome sequencing technology,and enrichment analyses of immune-related signaling pathways were evaluated combined with gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG).Results H22 group showed cold and hepa1-6 group showed hot TIME characteristics.The number of T cells,CD4+T cells and CD8+T cells in tumor tissue of H22 group were all lower,while the proportion of T cells,CD4+T cells and CD8+T cells in peripheral blood were all higher than those of hepa1-6 group(all P＜0.05).Compared with H22 group,up-regulated genes of tumor tissue in hepa1-6 group expressed significantly enriched in tumor immune activation-related signaling pathways.Conclusion H22 and hepa1-6 hepatocellular carcinoma models showed distinct TIME characteristics of cold and hot tumors,respectively,and the amount of immune cells in tumor tissue of the former were significantly lower than those in the latter.

Objective:To explore the application value of integrated Chinese and western medicine in the treatment of sepsis-induced coagulopathy (SIC) induced by bacterial pneumonia sepsis.Methods:A total of 60 inpatients with bacterial pneumonia and sepsis admitted to the Dongzhimen Hospital of Beijing University of Chinese Medicine from October 2023 to June 2024 were collected in a cross-sectional study. Serum samples were collected, and immune indexes, coagulation function and some laboratory test results of the patients were detected or recorded. Sepsis Associated Sequential Organ Failure Assessment (SOFA) score and Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score were evaluated.Results:Among the 60 patients, 71.7%( n=43) were associated with coagulation disorder, 65%( n=39) showed hemorrhagic SIC; A total of 37 patients (61.7%) were treated with integrated traditional Chinese and western medicine, and 23 patients (38.3%) were treated with Western medicine. The main types of syndrome differentiation were toxic-heat syndrome ( n=48, 80.0%) and blood-stasis syndrome ( n=11, 18.3%). Serum human monocyte chemoattractant protein-1 (MCP-1) and platelet count (PLT) in patients with blood stasis syndrome were significantly lower than those in toxic-heat syndrome (all P<0.05). In patients with bacterial pneumonia sepsis, the total score of syndrome of excess of fu-viscera (Fu-shi-zheng) was positively correlated with programmed death ligand-1 (PD-L1) ( r=0.293, P=0.023) and tumor necrosis factor-α (TNF-α) ( r=0.436, P=0.001). The total score of toxin-heat syndrome ( r=0.323, P=0.016) and excess of fu-viscera syndrome ( r=0.354, P=0.008) were positively correlated with prothrombin time (PT). PD-1 was positively correlated with SOFA score ( r=0.343, P=0.007) and APACHE Ⅱ score ( r=0.354, P=0.006). The PD-1 level and SOFA and APACHE Ⅱ scores of the patients treated with integrated Chinese and western medicine were significantly lower than those treated with Western medicine alone (all P<0.05). Conclusions:The combined intervention of traditional Chinese medicine and Western medicine based on " Fuzheng Touxie Jiedu (The method of strengthening the body and removing the toxin)" has strong clinical guiding significance, and can effectively improve the immune function and prognosis of bacterial pneumonia SIC.

This review aims to summarize the progress of multi-omics technologies in the study of antibi-otic resistance in Cronobacter,with the goal of gaining a deep understanding of its resistance mechanisms and providing a scientific basis for the development of new treatment methods and prevention strategies.By integrating genomics,transcriptomics,proteomics,and metabolomics,the study analyzes gene varia-tions,expression patterns,protein function changes,and metabolic pathway adjustments in Cronobacter.This includes the use of whole-genome sequencing to reveal gene variations related to antibiotic resist-ance,RNA-seq technology to monitor changes in gene expression patterns,proteomics to study protein expression and function,and metabolomics to analyze dynamic changes in metabolites.The research has found that factors such as biofilm formation and outer membrane proteins significantly affect the antibiotic resistance of Cronobacter.In addition,new potential influencing factors have been identified,including the expression changes of multidrug efflux pump genes,which may play a key role in enhancing antibiotic efflux and reducing intracellular antibiotic concentrations.Multi-omics technologies provide a comprehen-sive and in-depth perspective for the study of antibiotic resistance in Cronobacter,revealing multiple fac-tors and potential mechanisms that affect resistance.Although some new influencing factors have been i-dentified,their specific molecular mechanisms still require further investigation.The application pros-pects of multi-omics technologies are broad,and they are expected to provide important support for the development of new treatment methods and prevention strategies.

Objective:To analyze the risk factors for muscle cramps in maintenance hemodialysis patients and construct a nomogram prediction model.Methods:It was a retrospective cohort study. Patients undergoing regular hemodialysis at the Blood Purification Center of the Fourth Hospital of Hebei Medical University (West and East Campuses) from June 2023 to December 2023 were enrolled in this study. Patients were divided into a muscle cramps group and a non-muscle cramps group based on whether cramps occurred during or after dialysis. Patients from the West Campus were allocated to the training set, while those from the East Campus were assigned to the validation set, with an approximately 5∶1 ratio. Multivariate logistic regression analysis was used to identify risk factors for muscle cramps in the training set. A nomogram prediction model was constructed using R software. Model performance was evaluated using the receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis in both the training and validation sets.Results:A total of 498 maintenance hemodialysis patients were enrolled, including 409 in the training set (22.98% incidence of muscle cramps) and 89 in the validation set. Multivariate logistic regression analysis revealed that heart failure history ( OR=8.566, 95% CI 2.448-29.979, P=0.001), pre-dialysis corrected narrowed inferior vena cava width ( OR=0.531, 95% CI 0.433-0.650, P<0.001), increased ultrafiltration rate ( OR=1.002, 95% CI 1.001-1.003, P=0.002), decreased hemoglobin level ( OR=0.971, 95% CI 0.948-0.994, P=0.014), and decreased serum albumin ( OR=0.886, 95% CI 0.799-0.982, P=0.021) were independent associated factors for muscle cramps in the training set. The nomogram model based on these factors demonstrated an area under the ROC curve ( AUC) of 0.813 (95% CI 0.760-0.866, P<0.001) in the training set, with a Brier score of 0.129, indicating stable predictive performance. In the validation set, the area under of the ROC curve was 0.821 (95% CI 0.731-0.911, P<0.001) with a Brier score of 0.142. The decision curve showed that the model provided high clinical net benefit when the risk threshold probability for muscle cramps ranged from 0.22 to 0.77. Conclusion:Combined heart failure, narrowed inferior vena cava width, increased ultrafiltration rate, and decreased hemoglobin and serum albumin levels were the independent correlated factors for muscle spasm in maintenance hemodialysis patients. The nomogram model constructed based on these risk factors holds significant clinical value for predicting muscle cramps in maintenance hemodialysis patients.

Objective:To investigate the expression of the proinflammatory factor IL-18-mediated NOD-like receptor thermal protein domain associated protein 3/nuclear factor κB(NLRP3/NF-κB)signaling pathway in penile tissues of rats with high-fat diet-in-duced erectile dysfunction(ED),and to explore the intervention effect of sildenafil.Methods:Fifty-five sexually normal male SD rats were randomly divided into 10 cases as the normal control group,and the rest of the rats were fed with high-fat chow to establish the ED rat model,and the successfully screened ED rats were randomly divided into the ED group,the Sil group,the IL-18 group,and the IL-18+Sil group,with 8 rats in each group.Following 14 days of nonstop treatment,the morphological alterations in the penile tis-sue were observed by HE staining.Using immunohistochemistry,the amount and distribution of NF-κB p65 and Adropin in penile tis-sues were found.RT-qPCR was used to identify the expression of NLRP3 and NF-κB p65 mRNA in penile tissues.Western blot exami-nation showed the expression of the proteins NLRP3,pro-IL-18,p-NF-κB p65,NF-κB p65,and Adropin in penile tissues.Results:The ED group showed altered penis tissue morphology,destroyed muscle fibers,enlarged sinus cavity,increased mRNA and protein expressions of NLRP3,p-NF-κB p65/NF-κB p65,and pro-IL-18(all P<0.05),and decreased Adropin protein expression(P<0.05).While the protein expression of Adropin was increased(P<0.05),the mRNA and protein expressions of NLRP3,p-NF-κB p65/NF-κB p65,and pro-IL-18 in the penis tissues were decreased(all P<0.05)when compared to the ED group.The muscle fibers and sinus cav-ities of the penis were recovered to varying degrees in the Sil group.The IL-18 group experienced the destruction of muscle fibers,an enlargement of the sinus cavity,an increase in the mRNA and protein expressions of NLRP3,p-NF-κB p65/NF-κB p65,and pro-IL-18 in the penile tissues(all P<0.05),as well as a decrease in the protein expression of Adropin(P<0.05).The rat penile tissues in the IL-18+Sil group showed variable degrees of recovery in the muscle fibers and sinus cavities when compared to the IL-18 group.Ad-ditionally,there was a drop(all P<0.05)in the expressions of NLRP3,pro-IL-18 m RNA and protein,p-NF-κB p65/NF-κB p65,and p-NF-κB p65 in the penile tissues.The expression of the Adropin protein was elevated(P<0.05).Conclusion:Significant changes have been observed in the NLRP3/NF-κB signaling pathway,which is regulated by IL-18,in the hyperlipidemia ED rat model.In ED rats,sildenafil can increase erectile function by promoting the production of Adropin and blocking the activation of this pathway.