Objective: To understand the prevalence and related factors of depressive symptoms among primary and secondary school students in the in depth monitoring counties of China s Rural Compulsory Education Nutrition Improvement Program, so as to provide a basis for prevention and psychological intervention of depressive symptoms among children and adolescents in rural areas. Methods: In November 2022, a stratified random sampling method was adopted to collect height and weight data, basic personal and family information of 7 949 primary and secondary school students from grade three to grade nine through physical measurements and questionnaires in 56 key monitoring schools implementing the Student Nutrition Improvement Program in 7 in depth monitoring counties (Jalaid Banner in Inner Mongolia, Jinzhai County in Anhui, Mao Xian in Sichuan, Tiandeng County in Guangxi, Mian County in Shaanxi, Zhaozhou County in Heilongjiang and Youxi County in Fujian), and to obtain the information related to their depressive symptoms through the self assessment questionnaire on depression. Multivariate Logistic regression analysis was conducted to analyze the prevalence of depressive symptoms among primary and secondary school students, as well as their related factors. Results: The detection rate of depressive symptoms among primary and secondary school students in the in depth monitored counties was 23.5%. Logistic regression analysis showed that the probability of detecting depressive symptoms was higher among female students, middle school students, students whose video screen duration per day was >2 h, and students whose parents marital status was divorced or widowed ( OR =1.40, 1.64, 1.60, 1.24), and students whose sleep duration reached the recommended standard, whose parents usually accompanied them daily for time was 60-<120 min and ≥120 min, and students whose mothers literacy level was middle school graduation had lower probability of detecting depressive symptoms ( OR =0.85, 0.84, 0.71, 0.76) ( P < 0.05 ). Conclusion The detection rate of depressive symptoms among students in the in depth monitoring area is high, and targeted interventions need to be developed for students to reduce the risk of mental health problems.

The study explores the traditional Chinese medicine （TCM） diagnostic and treatment approach to coronary microvascular disease （CMVD） from the perspective of "disharmony of blood collaterals and dysfunction of qi transformation". It is proposed that the core pathogenesis of CMVD lies in these two mechanisms. From an integrative medicine perspective， different CMVD types are analyzed based on their specific pathogenesis. Through clinical practice， four targeted treatment methods， i.e. warming， unblocking， tonifying， and activating， are formulated. CMVD caused by atherosclerosis is primarily associated with myocardial ischemia， myocardial infarction， and coronary revascularization， with corresponding pathological mechanisms of latent pathogenic obstruction， toxic accumulation in the collaterals， and deficiency with collateral stasis. The disease progression exhibits characteristics of correlation， staging， and transformation. Accordingly， treatment principles include warming to assist qi transformation， unblocking obstruction and dispelling turbidity， activating to disperse toxic stasis and invigorate collaterals， and tonifying to eliminate stasis and nourish collaterals. For CMVD unrelated to atherosclerosis， attention should be paid to the underlying disease， analyzing the main syndromes of blood and collateral disharmony. An approach combining disease-syndrome differentiation with blood and collateral regulation is emphasized for precise treatment.

Objective: To analyze the features of unhealthy lifestyle patterns among primary and secondary school students in the nutrition improvement program for rural compulsory education students (NIPRCES) areas in China in 2021 and 2023, so as to provide data support for lifestyle promotion and healthy development among primary and secondary school students. Methods: Adopting a cluster random sampling method, data on primary and secondary students aged 7-15 years from nutrition and health surveillance of China NIPRCES in 2021 and 2023 were collected. The prevalence of unhealthy lifestyles among primary and secondary students such as physical inactivity, outdoor inactivity, excessive screen time, and sleep deprivation by gender, school section, urban/rural, and region were analyzed. The reporting rates of the above indicators among primary and secondary students were compared by Chi-square test. Results: In 2021 and 2023, the rates of moderate to vigorous physical inactivity among primary and secondary school students were 79.2% and 80.4%, the rates of outdoor inactivity were 42.8% and 49.3%, the rates of excessive video time were 2.6% and 2.9%, the rates of sleep deprivation were 32.9% and 22.6%, and the differences were statistically significant( χ 2=51.86,1 071.48,18.36,3 296.99, P <0.05). In 2023, the rate of outdoor inactivity for primary and secondary students increased by 6.5 percentage points compared with 2021, and the rate of sleep deprivation decreased by 10.3 percentage points compared with that in 2021. In 2021 and 2023, the reporting rates of moderate to vigorous physical inactivity, outdoor inactivity, and sleep deprivation among girls and junior high school students were higher than those among boys ( χ 2=174.41,180.11; 175.75, 85.46 ;92.22,151.35) and elementary school students ( χ 2=136.64,5.75; 40.55,4.71;162.80,3 291.61); the reporting rates of moderate to vigorous physical inactivity( χ 2=194.43,118.60) and sleep deprivation ( χ 2=969.66,983.72) among urban students were higher than those among rural students; the reporting rates of excessive video time for boys and junior high school students were higher than those for girls ( χ 2=103.62,84.85) and elementary school students ( χ 2=810.09,626.51)( P <0.05). From a regional distribution perspective, the reporting rates of moderato to vigorous physical inactivity, outdoor inactivity, and excessive video time among primary and seconday school students in the central and western regions were lower than those in the eastern region ( χ 2= 663.44,302.78; 356.97,82.10;50.89,81.83) ( P <0.05). Conclusions Unhealthy lifestyles remain prevalent among primary and secondary students in NIPRCES areas of China. These findings underscore the need to strengthen policy implementation for promoting healthy lifestyles among primary and secondary school students.

Objective: To understand the prevalence of elevated blood pressure and its association with dietary patterns in children and adolescents in China, providing evidence for developing dietary intervention of hypertension in children and adolescents. Methods: Data were derived from the China Children s Nutrition and Health System Survey and Application Project(2019-2021). A stratified cluster random sampling method was used to include 7 933 participants from 28 survey sites in seven major regions of Northeast, North, Northwest, East, Central, South and Southwest China. Multivariate Logistic regression models were used to analyze associations between demographic characteristics, nutritional status and elevated blood pressure. Exploratory factor analysis identified dietary patterns, which were divided into three quartile groups (T3, T2, T1) based on factor scores (compliance for dietary pattern) from high to low, and multivariate Logistic regression model assessed the correlation between elevated blood pressure and dietary patterns. Results: The prevalence of elevated blood pressure was 15.4% among Chinese children aged 7-17 years. Significant differences were observed across nutritional status (reference: underweight; normal weight: OR =1.57; overweight: OR = 2.61 ; obesity: OR =3.85), urban/rural residence (reference: rural; urban: OR =0.86), and paternal education (reference: junior high school and below; bachelor degree or above: OR =0.68) ( P <0.05). The detection rates of high blood pressure in T3 group children and adolescents with four dietary patterns (staple food, animal based food, snacks, vegetables and fruits) were 15.7%, 14.6%, 16.8%, and 15.8%, respectively. After adjusting for residence, paternal education, and nutritional status, the "snack dietary pattern" (mainly candy, sugar sweetened beverages, and processed snacks) showed positive associations with elevated blood pressure in T2 ( OR =1.21) and T3 ( OR =1.19) tertiles ( P <0.05). Conclusions The snack dietary pattern is a related factor for elevated blood pressure in children and adolescents. Restricting unhealthy snack intake may promote cardiovascular health.

Objective To prepare curcumin-loaded(CUR)mesoporous silica nanoparticles(MSN)modified by polydopamine(PDA),and study their pharmaceutical properties,drug release in vitro and antitumor activity in vitro.Methods Mesoporous silica nanoparticles were synthesized by template method and modified with PDA.The pharmaceutical properties of the nanoparticles were investigated.The responsive release of drug-loaded preparations at different pH was studied.The biocompatibility of the carrier and the inhibition rate of cell growth in vitro of the drug-loaded preparations were evaluated.The uptake of the drug-loaded preparations by tumor cells was examined.Results The particle size of MSN was uniform.After the PDA modification,the drug release rate of CUR@MSN-PDA was significantly dependent on pH.The results of biocompatibility experiments showed that,the cell survival rate was above 85％after co-cultured with MDA-MB-231 cells for 24 h.The results of in vitro tumor cell growth inhibition test showed that,the growth inhibition rate of CUR@MSN-PDA on tumor cells was significantly higher than that of CUR@MSN.The results of cell uptake showed that the fluorescent strength of CUR@MSN-PDA in the cell was significantly stronger than that of the CUR@MSN.Conclusion The nano-carrier constructed has significant pH response and enhanced anti-tumor activity,which can provide a theoretical basis for the drug delivery of CUR.

Objective:To screen prognostic genes as indicators for predicting immunoactive in tumor microenvironment(TME)of gastric cancer(GC).Methods:Paraffin tissue specimens and corresponding paracancer tissues were collected from 55 patients with GC.Total 976 GC transcriptome RNA-Seqs and clinical datasets were obtained from TCGA and GEO databases.Infiltra-tion status of immune cells and Immune/Stormal scores were calculated using the ESTIMATE and CIBERSORT algorithm.R package"limma"was performed to selected differentially expressed genes(DEGs).Univariate Cox regression analysis was used to determine prognostic factors of DEGs.qRT-PCR was demonstrated to detect mRNA expression of the hub genes.Potential biological functions of GREM1 were investigated by GSEA.Correlations of GREM1 with immune signature molecules and drug susceptibility were investigated by TISIDB and CellMiner database.Results:Immune Score was positively correlated with improved outcomes of GC patients.A total of 40 shared TME-related DEGs were selected in the high and low groups of Immune Score and Stromal Score.Four survival-related DEGs were obtained by Cox analysis,which were GREM1,SFRP2,CYP1B1 and MGP.By comparing the difference of gene expres-sion in tumor and adjacent tissues and the degree of affinity with immune microenvironment,it was found that GREM1 was most likely to play a role in immune remodeling in TME;expression of GREM1 was positively correlated with clinicopathological features(TNM),while negatively correlated with survival time of GC patients.GSEA results showed that GREM1 high-expression group were mainly enriched in immune-related active genomes.Besides,GREM1 expression was positively correlated to M2 macrophages,while negatively correlated to CD8+T cells.GREM1 was also positively associated with immunosuppressor TGF-β1,immunopotentiator ENT-PD1,chemokine CCL14 as well as receptor CCR2.Moreover,GC patients with high expression of GREM1 might more sensitive to drug Vismodegib therapy.Conclusion:GREM1 can regard as an immunosuppressive clinical indicator in TME of GC.

Objective To evaluate the predictive performance of C2 HEST score in the progression from paroxysmal to persistent atrial fibrillation(AF)in elderly patients.Methods A retrospective cohort trial was conducted on 515 patients＞75 years old with paroxysmal AF admitted to the First and Second Centers of Chinese PLA General Hospital from January 2008 to December 2009.The occurrence of persistent AF(including permanent AF)or death was regarded as the end event.According to their C2 HSET score,the end population was divided into a progressive group(76 cases,progression to persistent AF)and a non-progressive group(439 cases,not progression to persistent AF).The risk factors for persistent AF were analyzed,and the survival rate was ana-lyzed using Kaplan-Meier survival curve.ROC curve was plotted to evaluate the performance of C2 HEST score in predicting the progression to persistent AF.Results Multivariate Cox regres-sion analysis showed that COPD(HR=2.018,95％CI:1.262-3.227,P=0.003),heart failure(HR=3.505,95％CI:1.5 9 8-7.688,P=0.002)and stroke or transient ischemic attack(HR=3.663,95％CI:2.293-5.852,P=0.000)were independent risk factors for progression to persis-tent AF.Kaplan-Meier survival curve analysis indicated that the survival rate was decreased with the increment of risk stratification(P＜0.01).The median survival time of intermediate-risk patients was 124.81 months(95％CI:120.752-128.862)and that of high-risk patients was 97.04 months(95％CI:86.277-107.808).ROC curve analysis revealed that C2 HEST score(AUC value=0.649,95％CI:0.577-0.721,P＜0.01)had good predictive value in the progression of paroxysmal AF to persistent AF.Conclusion In patients over 75 years of age,C2 HEST score has a good performance in evaluating the progression from paroxysmal to persistent AF.

Recent trends suggest that Chinese herbal medicine formulas(CHM formulas)are promising treatments for complex diseases.To characterize the precise syndromes,precise diseases and precise targets of the precise targets between complex diseases and CHM formulas,we developed an artificial intelligence-based quantitative predictive algorithm(DeepTCM).DeepTCM has gone through multilevel model cali-bration and validation against a comprehensive set of herb and disease data so that it accurately captures the complex cellular signaling,molecular and theoretical levels of traditional Chinese medicine(TCM).As an example,our model simulated the optimal CHM formulas for the treatment of coronary heart disease(CHD)with depression,and through model sensitivity analysis,we calculated the balanced scoring of the formulas.Furthermore,we constructed a biological knowledge graph representing interactions by associating herb-target and gene-disease interactions.Finally,we experimentally confirmed the thera-peutic effect and pharmacological mechanism of a novel model-predicted intervention in humans and mice.This novel multiscale model opened up a new avenue to combine"disease syndrome"and"macro micro"system modeling to facilitate translational research in CHM formulas.

Objective:To analyze and assess the reliability of autoclaves of medical institution based on the failure data of the autoclaves of hospital.Methods:The failure data of autoclaves were analyzed by using four statistical models:Weibull distribution,Exponential distribution,Log-Normal distribution,and q-Weibull distribution.Chart tools were used to show the performance of different statistical distribution models in fitting data.Results:Comparisons of 4 kinds of statistical models revealed that the corrected Akaike Information Criterion(AICc)of statistical model of Log-Normal distribution was 564.4512,and the Bayesian Information Criterion(BIC)value(568.7691)of that was the lowest,and KS statistic(0.0739)of that was the smallest(P>0.05).Therefore,fitting effect of statistical model of Log-Normal distribution was the best fit,which was the most suitable model for analyzing the failure data set of autoclaves.Conclusion:Utilizing different statistical models to conduct the reliability analysis for failure data of autoclave can provide references for clinical engineers in optimizing maintenance strategies for autoclave.

Objective To explore the effective components and possible targets and mechanism of Shenling Baizhu Powder in improving adipose tissue inflammation in children with obesity with the help of network pharmacology and molecular docking method;To conduct preliminary verification through animal experiments.Methods The active components and targets of Shenling Baizhu Powder were screened through the TCMSP database.GeneCards,OMIM,DisGeNET databases were used to obtain the disease targets.An active component-target network was constructed by taking the intersection of drug and disease targets.Protein-protein interaction networks were constructed and core targets were obtained for GO and KEGG pathway enrichment analysis.Molecular docking validation was performed to key components and core targets.Animal experiments were conducted by establishing a model of young obese rats induced by high fat diet,and Shenling Baizhu Powder were given for gavage.The contents of TG and TC in serum and mRNA expressions of TNF-α,IL-1β,INF-γ and Fas in rat adipose tissue of epididymis were detected.Results The key components of Shenling Baizhu Powder to improve the microinflammation of obesity in children were piperlonguminine,acacetin,luteolin,denudatin B,mandenol,inermine,etc.There were 515 common drug-disease targets,and the core targets were TP53,SRC,PIK3R1,HSP90AA1 and PIK3CA.The results of GO enrichment analysis included inflammatory response,positive regulation of MAPK cascade,membrane raft,protein serine/threonine/tyrosine kinase activity,etc.KEGG pathway enrichment analysis results included metabolic,immune,endocrine,cancer and related liver disease signaling pathways.The results of molecular docking showed that the key components could play a regulatory role on the core target.Animal experiments showed that Shenling Baizhu Powder could improve microinflammation and metabolic indexes of model rats.Conclusion Shenling Baizhu Powder can act on multiple targets through various active components and multiple signaling pathways,adjusting inflammatory response and immune process,alleviating insulin resistance,regulating glucose and lipid metabolism,thereby improving adipose tissue inflammatory in children with obesity.