Objective: To assess the nutritional supply status of school meals for primary and secondary school students in Henan Province, so as to provide a basis for scientific guidance of school meals. Methods: During 2021-2023, 115 lunch and dinner samples were collected from 25 primary and secondary schools in Zhoukou, Anyang and Luoyang of Henan Province by a direct selection method, and 13 nutrients were determined for each sample. The nutrient supply was evaluated based on Nutrition Guidelines of School Meals and Reference Intake of Dietary Nutrients for Chinese Residents (2023 Edition). Mann-Whitney U test was used to compare the differences of nutritional supply between urban and rural schools. Results: The median values for energy (709.77 kcal,1 kcal=4.18 kJ), fat energy supply ratio (0.27) and carbohydrate energy supply ratio (0.55) in the 66 lunches and dinners from primary school were within the recommended range. The supply of protein (28.39 g) and sodium (1 464.59 mg) was excessive. The median values of zinc (2.62 mg) and dietary fiber (5.19 g) were lower than the reference values. No statistically significant differences were observed in the supply of 13 nutrients between urban and rural primary schools( U = 427.00 -633.00, P > 0.05 ). Among 49 samples from secondary schools, the median value of energy supply (930.02 kcal), carbohydrate energy ratio ( 0.54 ) and fat energy supply ratio(0.25) were within the recommended range; and the median values of protein (38.82 g) and sodium (2 556.80 mg) were higher than the standard; and the median values of calcium (250.32 mg) and vitamin B1 (0.16 mg) were lower than the standard. Additionally, the differences in the level of vitamin B2 ( U =372.00) and zinc ( U =375.00) between the urban and rural secondary schools were statistically significant ( P <0.05). Conclusion Nutrient supply of primary and secondary school meals in three cities of Henan Province is inadequate and imbalanced, and the recipe need to be further optimized and improved.

ObjectiveTo investigate the regulatory effect of icariin （ICA） on transforming growth factor-β₁ （TGF-β₁）/Smad pathway in bone microvascular endothelial cells （BMECs） and the effect on autophagy in BMECs. MethodsBMECs were isolated and cultured， and the cell types were identified by immunofluorescence. Cells were divided into the control group， model group （0.1 g·L^-1 methyl prednisolone）， ICA group （0.1 g·L^-1 methyl prednisolone +1×10^-5 mol·L^-1 ICA）， and TGF-β inhibitor group （0.1 g·L^-1 methyl prednisolone +1×10^-5 mol·L^-1 ICA +1×10^-5 mol·L^-1 LY2157299）. Transmission electron microscopy was used to observe the ultrastructure and autophagosome number of BMECs. Autophagy double-standard adenovirus was used to monitor the confocal autophagy flow generation of each cell. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were used to detect the gene and protein expression of autophagy in the TGF-β₁/ Smad pathway. ResultsAfter cell separation culture， platelet endothelial cell adhesion molecule （CD31） and von willebrand factor （vWF） immunofluorescence identified BMECs. Transmission electron microscopy showed that the cell membrane was damaged， and the nucleus was pyknotic and broken in the model group. Compared with the model group， the ICA group had complete cell membranes， clear structures， with autophagy-lysosome sparsely distributed. The confocal photo showed that BMECs had autophagosomes and autophagy-lysosomes， and the autophagy expression of the ICA group was similar to that of the blank group. Compared with the blank group， in the model group and the LY2157299 group， autophagosomes and autophagy-lysosomes were barely seen in the autophagy flow. Compared with the blank group， the mRNA and protein expressions of autophagy effector protein 1 （Beclin1） and microtubule-associated protein 1 light chain 3B （LC3B） in the model group were significantly decreased （P<0.01）， and those of ubiquitin-binding protein （p62） were significantly increased （P<0.01）. The mRNA expression of TGF-β₁， Smad homolog 2 （Smad2）， and Smad homolog 3 （Smad3） decreased （P<0.05， P<0.01）. The protein expressions of TGF-β₁， p-Smad2， and p-Smad3 were significantly decreased （P<0.01）. Compared with those of the model group， the mRNA and protein expression of Beclin1 and LC3B in BMECs of the ICA group increased （P<0.01）， and those of p62 significantly reduced （P<0.01）. The mRNA expression of TGF-β₁， Smad2， and Smad3 increased significantly （P<0.01）. The protein expression of TGF-β₁， p-Smad2， and p-Smad3 increased significantly （P<0.01）. Compared with those in the model group， the mRNA and protein expressions of Beclin1， LC3B， and p62 in the inhibitor group were not statistically significant. The expression of key genes and proteins of the TGF-β₁ pathway in the inhibitor group was not statistically significant. ConclusionICA can promote glucocorticoid-induced autophagy expression of BMECs， and its mechanism may be related to activating the TGF-β₁/Smad signaling pathway.

Steroid-induced osteonecrosis of the femoral head （SONFH） is a severe musculoskeletal disorder often induced by the prolonged or excessive use of glucocorticoids. Characterized by ischemia of bone cells， necrosis， and trabecular fractures， SONFH is accompanied by pain， femoral head collapse， and joint dysfunction， which can lead to disability in severe cases. The pathogenesis of SONFH involves hormone-induced osteoblast apoptosis， bone microvascular endothelial cell （BMEC） apoptosis， oxidative stress， and inflammatory responses. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway plays a pivotal role in the development of the disease. Modulating the PI3K/Akt signaling pathway can promote Akt phosphorylation， thereby stimulating the osteogenic differentiation of bone marrow mesenchymal stem cells and osteoblasts， promoting angiogenesis in BMECs， and inhibiting osteoclastogenesis. The research on the treatment of SONFH with traditional Chinese medicine （TCM） has gained increasing attention. Recent studies have shown that TCM monomers and compounds have potential therapeutic effect on SONFH by intervening in the PI3K/Akt signaling pathway. These studies not only provide a scientific basis for the application of TCM in the treatment of SONFH but also offer new ideas for the development of new therapeutic strategies. This review summarized the progress in Chinese and international research on the PI3K/Akt signaling pathway in SONFH over the past five years. It involved the composition and transmission mechanisms of the signaling pathway， as well as its regulatory effects on osteoblasts， mesenchymal stem cells， osteoclasts， BMECs， and other cells. Additionally， the review explored the TCM understanding of SONFH and the application of TCM monomers and compounds in the intervention of the PI3K/Akt pathway. By systematically analyzing and organizing these research findings， this article aimed to provide references and point out directions for the clinical prevention and treatment of SONFH and promote further development of TCM in this field. With in-depth research on the PI3K/Akt pathway and the modern application of TCM， it is expected to bring safer and more effective treatment options for patients with SONFH.

BackgroundSevere mental disorders represent a major public health concern due to the high disability rates and substantial disease burden， which has garnered significant national attention and prompted their inclusion in public health project management systems. However， credible evidence regarding the current status of disease management and factors influencing disease stabilization among patients with severe mental disorders in Luzhou City， Sichuan Province， remains limited. ObjectiveTo investigate the current management status of patients with severe mental disorders in Luzhou City， Sichuan Province， and to analyze influencing factors of disease stabilization among patients under standardized care， so as to provide evidence-based insights for developing targeted management strategies to optimize clinical interventions for this patient population. MethodsIn March 2023， data were extracted from the Sichuan Mental Health Service Comprehensive Management Platform for patients with severe mental disorders in Luzhou City who received management between December 2017 and December 2022. Information on mental health service utilization and clinical status changes was collected. Trend analysis was conducted to evaluate temporal changes in key management indicators for severe mental disorders in Luzhou City. Logistic regression analysis was employed to identify factors influencing the disease stabilization or fluctuation of these patients. ResultsThis study enrolled a total of 20 232 patients. In Luzhou City， the stabilization rate and standardized management rate of severe mental disorders were 94.89% and 79.36% in 2017， respectively， which increased to 95.33% and 96.92% by 2022. The regular medication adherence rate rose from 34.42% in 2018 to 86.81% in 2022. In 2022， the regular medication adherence rate was 71.80% for schizophrenia， 55.26% for paranoid psychosis， and 51.43% for schizoaffective disorder. Multivariate analysis identified the following protective factors for disease stabilization： age of 18~39 years （OR=0.613， 95% CI： 0.409~0.918）， age of 40~65 years （OR=0.615， 95% CI： 0.407~0.931）， urban residence （OR=0.587， 95% CI： 0.478~0.720）， and regular medication adherence （OR=0.826， 95% CI： 0.702~0.973）. Risk factors for disease fluctuation included poor （OR=1.712， 95% CI： 1.436~2.040）， non-inclusion in care-support programs （OR=1.928， 95% CI： 1.694~2.193）， non-participation in community rehabilitation （OR=2.255， 95% CI： 1.930~2.634）， and intermittent medication adherence （OR=3.893， 95% CI： 2.548~5.946）. ConclusionThe stability rate， standardized management rate， and regular medication adherence rate of patients with severe mental disorders in Luzhou City have shown a year-by-year increase. Age， household registration status， economic condition， medication compliance， and community-based rehabilitation were identified as influencing factors for disease fluctuation in these patients. ［Funded by Luzhou Science and Technology Plan Project （number， 2022-ZRK-186）］

Objective:To construct a medical education metaverse based on cloudytization virtual reality (VR) technique,so as to resolve various issues encountered with conventional VR devices in use process,and enhance the user's experience and teaching effect of virtual space education. Methods:The technical architecture of the medical education metaverse was conducted from the perspectives included the underlying technique layer,learning interface layer,teaching activity space and knowledge layer. The medical education mateverse,which based on cloudytization VR technique,was constructed,and the system performance and user's experience were optimized from a supporting environment included the content layer,platform layer,cloud computing layer,network layer and terminal layer. Results:The medical students could conduct practical operation in virtual environment at any time and any place by the deployment approach on cloudy terminal and lightweight devices. The efficient and convenient cross-disciplinary collaborative learning was convenient for students to acquire knowledge from multiple perspectives,to better response complex medical environments. The real-time interactive remote medical approach expanded the boundaries of medical education,and ensured equity and inclusivity in medical education. Conclusion:The application of medical education metaverse based on cloudytization VR technique in medical teaching can effectively reduce the application threshold of medical education metaverse,and expand the coverage of educational resources of high quality,and enhance the use experience of teaching of the virtual space of medical education based on VR,and meet the demands of medical teaching for diverse application scenarios.

Objective:To construct a medical education metaverse based on cloudytization virtual reality (VR) technique,so as to resolve various issues encountered with conventional VR devices in use process,and enhance the user's experience and teaching effect of virtual space education. Methods:The technical architecture of the medical education metaverse was conducted from the perspectives included the underlying technique layer,learning interface layer,teaching activity space and knowledge layer. The medical education mateverse,which based on cloudytization VR technique,was constructed,and the system performance and user's experience were optimized from a supporting environment included the content layer,platform layer,cloud computing layer,network layer and terminal layer. Results:The medical students could conduct practical operation in virtual environment at any time and any place by the deployment approach on cloudy terminal and lightweight devices. The efficient and convenient cross-disciplinary collaborative learning was convenient for students to acquire knowledge from multiple perspectives,to better response complex medical environments. The real-time interactive remote medical approach expanded the boundaries of medical education,and ensured equity and inclusivity in medical education. Conclusion:The application of medical education metaverse based on cloudytization VR technique in medical teaching can effectively reduce the application threshold of medical education metaverse,and expand the coverage of educational resources of high quality,and enhance the use experience of teaching of the virtual space of medical education based on VR,and meet the demands of medical teaching for diverse application scenarios.

The innate immune system employs diverse pattern recognition receptors (PRRs) to monitor pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs), thereby initiating innate immune responses against pathogenic invasions. This review focuses on RNA, double-stranded DNA (dsDNA), and non-canonical conformational nucleic acid as structural triggers, comprehensively analyzing the immune recognition mechanisms of nucleic acid-sensing PRRs, their disease relevance, and therapeutic advancements. Key receptors highlighted include Toll-like receptors (TLRs), retinoic acid-inducible gene I (RIG-I)-like receptors (RLRs), cyclic GMP-AMP synthase (cGAS), and Z-DNA-binding protein 1 (ZBP1). We elucidate their pivotal roles in antiviral defense, antitumor immunity, and immune homeostasis maintenance, aiming to provide insights for the development of novel PRR-targeted drugs.

MicroRNAs(miRNAs)comprise a class of endogenous RNA molecules with a typical length of 19～25 nucleotides.They regulate gene expression levels by identifying homologous sequences and intervening in transcription,translation,or epigenetic processes.miRNAs have potential applications in relation to the pathogenesis,progression,and treatment of deep vein thrombosis(DVT).DVT refers to the abnormal coagulation of blood within the lumen of the deep veins,blocking the venous lumen and obstructing the venous return,especially in the lower limbs.Furthermore,detachment of the thrombus and entry into the lungs can lead to death.This article comprehensively reviews recent research findings regarding the diverse mechanisms of action of miRNAs in relation to DVT.Given that the regulation of miRNA expression using targeted therapeutic approaches may promote the recovery of DVT,this article also discusses the potential applications of miRNAs for the clinical diagnosis and treatment of DVT,and aims to provide valuable references and insights for future clinical and basic research in the field of DVT.

Objective We aimed to investigate the feasibility and method of constructing a traditional Chinese medicine(TCM)curative effect prediction model based on the data of Kechuanting acupoint plastering therapy in the treatment of bronchial asthma(asthma).Methods Data from the Chronic Disease Management Research Platform of 303 patients with asthma who were treated with Kechuanting acupoint plastering therapy for 6 weeks in the Department of Acupuncture and Rehabilitation of Jiangsu Hospital of Traditional Chinese Medicine from June to August 2018 to 2021 were selected.We used Phyton 3.10 for statistical analysis.After data preprocessing,the influencing factors were used to build models by Logistic regression,support vector machine,K-means clustering algorithm,Bayes algorithm,random forest method and Light gradient boosting machine(LightGBM)respectively,with the improvement of asthma control test score(ACT),forced expiratory volume in one second(FEV1)and exhaled nitric oxide(FeNO)as the outcome indicators.Then,the models were compared and analyzed.Subsequently,the superior model was used to establish the efficacy prediction model and verify its stability to obtain the accuracy rate and eliminate the relatively important factors.Results The accuracy rate of the Kechuanting acupoint plastering therapy curative effect prediction model established by the LightGBM model was more than 70%.Five important factors were selected,including allergic history,tabacco and alcohol abuse,plastering duration,ACT before treatment,and FeNO before treatment.According to the classification analysis and the relationship between the important factors and the outcome indicators,Kechuanting acupoint plastering therapy significantly improved the ACT of patients with no history of allergy,no tabacco and alcohol abuse,and poor ACT:5-15 points(P<0.05).Furthermore,Kechuanting acupoint plastering therapy improved FeNO more significantly in patients with more than 3 years of treatment than those with no more than 3 years(P<0.05).However,Kechuanting acupoint plastering therapy only improved FeNO in a few patients with poor asthma control levels(P<0.05)and severe airway inflammation(FeNO>50×10-9)(P>0.05).Conclusion Acupoint plastering application has a significant effect on improving the control level of asthma,but its effect on improving airway inflammation is limited.It is feasible to use data from the chronic disease management research platform to construct the prediction model.After optimization and testing,the predictive model established based on the data of this study may provide an effective evaluation tool for targeted clinical treatment.

Objective To optimize the preparation process of hydroxysafflor yellow A(HSYA)nanoparticle and conduct in vitro release evaluation.Methods HSYA nanoparticles were prepared with PLGA as carrier by modified compound emulsion method.The optimal preparation process of the experiment was selected by Plackett-Burman and Box-Behnken response surface method.The nanoparticles were characterized by using particle size analyzer,TEM scanning electron microscope,Fourier transform infrared spectroscopy(FT-IR),X-ray diffraction(XRD).Frozen(4℃)storage stability,stability in physiological medium,lyophilized protective agent and in vitro release rate were investigated.Results The optimal process prescription of nanoparticle is as follow:pH value is 6.95,the dosage is 2.8 mg,and carrier dosage is 18.2 mg.The size of nanoparticles obtained at optimum condition is(176.4±1.29)nm,the polydiseperse index(PDI)is 0.152±0.014,the Zeta potential is(-17.6±0.46)mV,the encapsulation rate is(78.5±0.49)％,drug loading is(7.3±0.07)％.These nanoparticles showed round and good dispersion.Good stability in 4℃ storage environment and different physiological media of nanoparticles were observed.The best lyophilized protective agent was 1％glucose and the in vitro release rate of nanoparticles at 48 hours was 85％.Conclusion The optimization method is reasonable and reliable.The obtained nanoparticles have good stability and sustained-release effect.The in vitro release behavior conformed to first-order kinetic model.