BACKGROUND:Eucommia ulmoides has a certain osteogenic effect,which can promote the proliferation and differentiation of osteoblasts.However,it is unclear whether Eucommia ulmoides has effects on alveolar bone formation and Wnt/β-Catenin signaling pathway. OBJECTIVE:To investigate the mechanism by which Eucommia ulmoides promotes alveolar bone formation in ovariectomized rats based on the Wnt/β-Catenin signaling pathway. METHODS:Sixty female Sprague-Dawley rats were selected and randomly divided into five groups:blank control group,sham-operation group,model group,low-dose group Eucommia ulmoides group,and high-dose Eucommia ulmoides group,with twelve rats in each group.Osteoporosis animal models were constructed by bilateral oophorectomy in the model group and the low-dose and high-dose Eucommia ulmoides groups.The sham-operation group underwent the same method to remove adipose tissue of equal mass around the bilateral ovaries.Three months after surgery,the low-and high-dose Eucommia ulmoides groups were given 2.1 g/kg/d and 4.2 g/kg/d Eucommia ulmoides by gavage,respectively.The sham-operation group and model group were given the same amount of physiological saline by gavage.After 12 weeks of drug intervention,the changes in alveolar bone mass of rats in each group were observed through Micro-CT;hematoxylin-eosin staining was used to observe the pathological structural changes of alveolar bone in rats;enzyme linked immunosorbent assay was used to detect the expression levels of alkaline phosphatase and osteocalcin in the serum of rats;western blot was used to detect the expression levels of β-Catenin and Frizzled9 receptor proteins in the alveolar bone of rats;and real-time fluorescence quantitative PCR was used to detect the expression of osteocalcin,Runt-related transcription factor 2(Runx2),alkaline phosphatase,β-catenin,and frizzled9 mRNAs in alveolar bone tissues of rats. RESULTS AND CONCLUSION:Compared with the blank control group,bone volume fraction,trabecular number,trabecular thickness,and bone mineral density were reduced in the model group(P＜0.05),and trabecular separation was elevated(P＜0.05).Pathological observation showed that the arrangement of trabeculae was disordered and irregular,the trabeculae were thinned or broken,and the marrow cavity was enlarged in the model group,with a significant reduction in bone volume;the level of alkaline phosphatase in the serum was increased(P＜0.05),and the level of osteocalcin was decreased(P＜0.05);mRNA expression of alkaline phosphatase,osteocalcin,Runx2,β-catenin,and frizzled9 were decreased(P＜0.05);protein expression of β-Catenin and Frizzled9 was decreased(P＜0.05).Compared with the model group,the low-and high-dose Eucommia ulmoides groups showed an increase in bone volume fraction,trabecular number,trabecular thickness,and bone mineral density(P＜0.05)and a decrease in trabecular separation(P＜0.05).In the low-and high-dose Eucommia ulmoides groups,bone trabeculae were slightly aligned and thickened,with a significant increase in bone mass.Compared with the model group,the serum level of alkaline phosphatase was reduced(P＜0.05)and the serum level of osteocalcin was elevated(P＜0.05)in the low-and high-dose Eucommia ulmoides groups.Compared with the model group,the mRNA expression of alkaline phosphatase,osteocalcin,Runx2,β-catenin,and frizzled9 were increased in the low-and high-dose Eucommia ulmoides groups(P＜0.05).Compared with the model group,the protein expression of Frizzled9 was increased in the low-dose Eucommia ulmoides group(P＜0.05),while the protein expression of β-Catenin and Frizzled9 was increased in the high-dose Eucommia ulmoides group(P＜0.05).Compared with the low-dose Eucommia ulmoides group,the high-dose Eucommia ulmoides group had a more significant improvement in the above indexes.To conclude,Eucommia ulmoides can effectively promote the alveolar bone formation,and its mechanism of action might be related to the activation of the Wnt/β-catenin signaling pathway.

BACKGROUND:Magnetic resonance imaging is the gold standard for the diagnosis of osteonecrosis of femoral head,and previous methods of predicting osteonecrosis of femoral head collapse based on magnetic resonance images mostly require the combined assessment of coronal and sagittal images.However,osteonecrosis of femoral head tends to occur bilaterally,most hospitals perform bilateral hip magnetic resonance imaging scans during clinical examinations,but the bilateral hip scans can only view coronal and cross-sectional images,and it is difficult to obtain sagittal images,which affects the assessment of the risk of collapse.Therefore,it is of clinical value to establish a method to assess the risk of early osteonecrosis of femoral head collapse by applying the images that can be obtained after bilateral hip magnetic resonance scanning. OBJECTIVE:To establish a method of applying coronal and cross-sectional images of bilateral hip magnetic resonance imaging to assess the risk of osteonecrosis of femoral head collapse. METHODS:The medical records of 111 patients(181 hips)with early-stage osteonecrosis of femoral head diagnosed at the outpatient clinic of Honghui Hospital Affiliated to Xi'an Jiaotong University from October 2017 to October 2019 were retrospectively analyzed.They were categorized into collapsed and non-collapsed groups according to the femoral head collapse at the final follow-up,with 69 hips in the collapsed group and 112 hips in the non-collapsed group.The angle of necrotic range on the images of median coronal plane,transverse plane or one level above and below it was measured on the magnetic resonance imaging system.The sum of the two angles of necrotic angle on the coronal and transverse planes was used as the combined necrotic angle.The average of the three combined necrotic angles of each hip was taken to get the average combined necrotic angle of each hip.Finally,the correlation between the three combined necrotic angles and the average combined necrotic angle with the collapse of osteonecrosis of femoral head was analyzed,and the specificity and sensitivity of the four combined necrotic angles in predicting collapse were evaluated by using receiver operating characteristic curves. RESULTS AND CONCLUSION:(1)Totally 69 hips(38.1%)had femoral head collapse at the last follow-up and were included in the collapsed group;112 hips(61.9%)did not have progression of collapse and were included in the non-collapsed group.(2)The difference between the collapsed group and the non-collapsed group in terms of Association Research Circulation Osseous(ARCO)stage was significant(P<0.001).The difference in age,body mass index,follow-up time,gender distribution,side of onset,and causative factors was not significant(P>0.05).(3)The results of independent samples t-test suggested that all four combined necrotic angles were significantly correlated with collapse(P<0.000 1);and the differences in combined necrotic angles between the collapsed group and the non-collapsed group of ARCO stage I and the two groups of ARCO stage II were all significant(P<0.000 1).(4)In the analysis of the receiver operating characteristic,the area under the curve of the average combined necrotic angle was greater than that of the combined necrotic angle on the lower level of the median,the middle level,and the upper level of the median.(5)The average combined necrotic angle had a higher accuracy in the prediction of collapse than the lower level of the median,the middle level,and the upper level of the combined necrotic angle.(6)It is concluded that the accuracy of the average combined necrotic angle in predicting the risk of osteonecrosis of femoral head collapse is higher,and the clinical practicability is stronger,so we can consider using this method to predict the risk of osteonecrosis of femoral head collapse.

Clinical chemotherapy for prostate cancer is still compromised by high treatment thresholds and severe off-target toxicity of drugs. Given the limited progress in improving therapeutic outcomes and reducing toxicity with the existing toolbox, efforts to broaden the chemotherapeutic window are highly desired. Here, we discover that gossypol (GSP, a natural compound) dramatically enhances the chemosensitivity of cabazitaxel (CTX), even at previously ineffective concentrations. Based on this interesting finding, we exploit a carrier-free chemotherapeutic nano-booster for prostate cancer treatment, which is molecularly co-assembled by GSP and cabazitaxel (CTX). GSP not only readily forms nanoassembly with CTX, but also functions as a chemotherapeutic enhancer that unlocks an ultra-low-dose chemotherapeutic window. Not only that, precise dual-drug nanoassembly confers CTX a significantly larger maximum tolerable dose. As expected, the nano-booster exerts striking therapeutic benefits in mouse prostate tumor xenograft models. This study advances chemotherapeutic window expansion and self-sensitized chemotherapy toward clinical applicability.

Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

Objective To identify the differentially expressed genes and pathways of bone marrow-derived mast cells(BMMCs)of mice induced by IL-3 and IL-3+stem cell factor(SCF)using bioinformatics analysis,which may provide a foundation for in vitro culture and functional study of mast cells(MC).Methods The matrix data of GSE35332 dataset in IL-3 and IL-3+SCF induced BMMCs was downloaded from the GEO database,and the R software was applied to screen differentially expressed genes(DEGs).The gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis of EDGs were performed based on the online tool DAVID database.The protein interaction network was constructed by STRING database and hub genes were screened through MCODE plugin of the Cytoscape software.Results The GSE35332 data set was analyzed by R software,and 1 339 DEGs were screened,including 723 up-regulated genes and 616 down-regulated genes.A total of 6 hub genes were screened through the MCODE plugin of Cytoscape software,namely Psmd8,Psmd6,Psmd14,Psmc4,Psma6 and Psma3.GO and KEGG analysis showed that the hub genes were concentrated in proteolysis,antigen processing and presentation of exogenous peptide antigen via MHC class I,proteasome-mediated ubiquitin-dependent protein catabolism process,and Epstein-Barr virus infection.Conclusion This study found that there were significant differences in BMMCs gene expression profiles in mice induced by two modes and 6 hub genes participated in ubiquitin-dependent protein decomposition process through bioinformatics based on the GEO database,providing help for further research on MC vitro culture and function.

Objective:To explore the effect of different concentrations of Chinese herbal formula,Er-miao-san(EMS)immune regulatory gene on Gnαq expression in rats with collagen-induced arthritis(CIA).Methods:In the study,we established a CIA model,and randomly divided into model groups,EMS group with 1.5,3.0 and 4.5 g/kg(L-EMS,M-EMS,H-EMS)were adminis-tered to CIA rats by gavage,methotrexate was used as a positive control group(MTX).The rats in each group were given correspond-ing drugs for treatment,and the normal control group and model group were given the same amount of normal saline gavage.ELISA detects the expression of IL-1β,IL-6 and TNF-α in rats'serum.The mRNA and protein expression of Gnαq were analyzed using qRT-PCR and Western blot.The localization of Gnαq was performed by IHC.Results:The joint of rats in CIA group showed obvious damage,tissue hyperplasia and inflammatory infiltration;the joint tissue destruction and proliferation of MTX and EMS groups were reduced;the expressions of IL-1β,IL-6 and TNF-α in CIA group were extremely increased(P<0.01).The expressions of IL-1β(except H-EMS group),IL-6 and TNF-α in MTX and EMS groups were significantly lower than those in CIA group(P<0.05).The expressions of IL-1β,IL-6 and TNF-α in L-EMS group were lower than those in the M-EMS and H-EMS groups(P<0.05,P<0.01).The expression of Gnαq mRNA and protein in spleen and joints of CIA group were higher than those of Control group(P<0.01).The expression of Gnαq mRNA and protein in spleen and joints of EMS and MTX groups were lower than those of CIA group(P<0.05).The expression of Gnαq mRNA and protein in the dose of 1.5 g/kg of EMS group was lower than those of the other groups(P<0.01,P<0.05).Different degree of posi-tive signal was detected in spleen and joints in different groups.Conclusion:Gnαq is expressed in spleen and joints of CIA rats,may participate in the formation of inflammatory response in CIA rats,and then mediate the formation and development of RA by down-reg-ulating the expression of Gnαq.

Objective To evaluate the value of a machine learning-based biparametric magnetic resonance imaging(bpMRI)radiomics model in predicting clinically significant prostate cancer(csPCa)in the transitional zone.Methods A retrospective analysis was con-ducted on 507 cases in two medical centers.All patients underwent prostate MRI examinations before surgery,with complete patho-logical data.The case distribution was as follows:256 cases of csPCa,97 cases of clinically insignificant prostate cancer(ciPCa),and 154 cases of benign prostatic hyperplasia(BPH).Using the R language,the data from Center One was randomly divided into training and test groups at a ratio of 7∶3,and the data from Center Two as an independent external validation group.The image features from T2 WI and diffusion weighted imaging(DWI)were extracted,and the least absolute shrinkage and selection operator(LASSO)was used to reduce dimensionality and filter features.Two datasets were constructed based on T2 WI features alone and combined T2 WI and DWI features.Six prediction models were established using random forest(RF),logistic regression(LR),and support vector machine(SVM).The efficacy of six models of T2 WI features and combined T2 WI and DWI features in the diagnosis of prostate dis-eases through receiver operating characteristic(ROC)curve,area under the curve(AUC),and decision curve analysis(DCA)were compared and evaluated.Results In the training group,feature screening identified 7 and 8 features from the T2WI single sequence and the T2WI with DWI dual sequence for csPCa prediction in the transitional zone.The results showed that the T2WI with DWI dual sequence RF model had the highest AUC performance.The AUC of the training,test,and validation groups were 0.950,0.866,and 0.818,respectively.The test group accuracy was 0.805,sensitivity was 0.690,and specificity was 0.920;the validation group accu-racy was 0.726,sensitivity was 0.661,and specificity was 0.793.DCA showed that within a wide probability threshold range,the T2 WI with DWI dual sequence RF model had the greatest net benefit.Conclusion Based on the bpMRI radiomics model,non-invasive prediction of csPCa in the transitional zone can be achieved before surgery,which helps to make clinical diagnosis and treatment decisions.

Objective To investigate the antibacterial performance and biocompatibility of silver nanoparticles-coated root canal nickel titanium instruments(AgNPs-NiTi).Methods AgNPs-NiTi was prepared using pulse electrochemical deposition.The morphol-ogy of AgNPs-NiTi was observed using field emission scanning electron microscopy(FE-SEM),and the elemental composition and con-tent were analyzed using X-ray diffraction(XRD)and energy dispersive spectroscopy(EDS).The mechanical properties of AgNPs-NiTi were tested.After Co-culturing AgNPs-NiTi with E.faecalis,the antibacterial effect was detected by colony-forming units method.By constructing an in vitro model of E.faecalis biofilm in the root canal of teeth,the antibacterial effect of AgNPs-NiTi was observed using FE-SEM and live/dead bacterial staining.In addition,AgNPs-NiTi was co-cultured with Raw 264.7 cells,and its cytotoxicity was de-tected by CCK-8.Results The pulse electrochemical deposition was used to construct a silver nanoparticle(AgNPs)coating on NiTi instruments with no significant change in the mechanical properties.AgNPs-NiTi significantly inhibited the proliferation of E.faecalis and damaged E.faecalis biofilm in the root canal.AgNPs-NiTi had no significant influence on the proliferation of Raw264.7 cells and had no cytotoxicity.Conclusion The mechanical properties of AgNPs-NiTi are similar to those of nickel titanium instruments.AgNPs-NiTi inhibits E.faecalis proliferation with good biocompatibility.

Objective To explore the value of transesophageal echocardiography(TEE)for surgical therapy of pediatric atrioventricular valve diseases.Methods Data of 273 children with atrioventricular valve diseases who underwent surgical operation under extracorporeal circulation were retrospectively analyzed.Transthoracic echocardiography(TTE)was performed within 1 week before,while TEE was performed before and after surgical operation.Whether TTE diagnosis should be adjusted were evaluated according to findings of TEE,so were the effects of surgical treatments,and the ultrasonic diagnostic coincidence rate before operation were compared taken surgical findings as standards.Results TEE was successfully completed in all 273 children.The diagnostic coincidence rate of preoperative TTE was 83.88％(229/273).After adjustment or supplement according to TEE in 44 cases(44/273,16.12％),the ultrasonic diagnostic coincidence rate reached 100％(273/273),higher than that of preoperative TTE alone(P＜0.001).Residual shunt was found in 5 cases,while no obvious improvement of valvular regurgitation was noticed in 3 cases with post operative TEE,and after corresponding treatments,re-examination of TEE showed satisfactory efficacy in all the above cases.Conclusion TEE could be used to accurately diagnose pediatric atrioventricular valve diseases before and evaluate the efficacy after surgical treatments,having important clinical application value.