Objective: To assess the effect of 12-year-old children s pit and fissure sealants on the health of first permanent molars, so as to provide evidence for optimizing caries prevention strategies among children. Methods: In March 2025, a cluster random sampling method was used to conduct oral examinations on 965 students aged 12 from Chengdu s 2021 Comprehensive Intervention Program for Pediatric Oral Diseases. Data from the Comprehensive Intervention System for Children s Oral Diseases were referenced. Participants were divided into a sealed group ( n =755) and an unsealed group ( n =210) based on whether they had received sealants on their first permanent molars. Chi square test or analysis of variance were used to compare indicators such as caries incidence, new caries detection rate, and new caries mean (DMFT increment) between the two groups Results: The sealed group showed significantly lower caries incidence, new caries detection rate, and new caries mean (33.38%, 17.65%, 0.59±1.00) compared to the unsealed group (43.81%, 24.70%, 0.87±1.22)( χ 2/F =7.79, 18.26, 9.55, all P <0.05). However, no significant difference was found in the filled teeth ratio between the two groups (20.38% , 20.16%; χ 2=0.01, P =0.94). In girls, the sealed group exhibited significantly lower caries incidence, new caries detection rate, and new caries mean (36.78%, 20.99%, 0.69± 1.10 ) than the unsealed group (57.55%, 33.52%, 1.15±1.29) ( χ 2/F =14.42, 23.76, 10.92, all P <0.05), whereas no significant differences were observed between boys in the sealed (30.47%, 14.85%, 0.50±0.89) and unsealed groups (29.81%, 16.18%, 0.59± 1.08) ( χ 2/F =0.02, 0.41, 0.74, all P >0.05). Boys had significantly lower new caries detection rates and new caries means than girls in both groups ( χ 2/F =16.20, 6.94; 29.93, 11.84, all P <0.05). In urban areas, the sealed group had lower new caries detection rates and new caries means (19.37%, 0.68±1.04) than the unsealed group (24.66%, 0.90±1.20) ( χ 2/F =6.86, 3.94, both P <0.05). In suburban areas, all indicators for the sealed group (24.71%, 13.77%, 0.42±0.87) were significantly lower than those for the unsealed group (38.81%, 24.77%, 0.82±1.28) ( χ 2/F =5.28, 15.36, 6.00, all P <0.05). Indicators from specialized dental institutions (11.25%, 4.81%, 0.16±0.56) were significantly lower than those from county level or above general hospitals (33.33%, 19.11%, 0.38±1.00) and primary healthcare institutions (37.59%, 19.24%, 0.67±1.05) ( χ 2/F =20.99, 34.31, 21.08 , all P <0.01). Conclusions The 12-year-old children s pit and fissure sealants effectively reduce the caries incidence in first permanent molars, particularly showing significant effectiveness in girls and suburban children. Intervention strategies should be optimized according to gender.

Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Aim To investigate the impact of G pro-tein-coupled estrogen receptor 1(GPER1),also known as GPR30 playing a significant role in the nerv-ous system,on neuronal damage and cognitive dysfunc-tion following epileptic seizures.Methods The pro-tein expression levels of GPER1 and the DNA damage marker γ-H2AX in epileptic rats were assessed using Western blot.The hippocampal neuronal damage and apoptosis in pilocarpine-induced epilepsy models were evaluated using Nissl and TUNEL staining techniques,compared with GPER1 knockdown(GPER1-KD)rats with wild-type(WT)controls.The behavioral activi-ties,including memory and spatial learning,were mo-nitored during the chronic phase of epilepsy using the IntelliCage system.Results Compared to the control group,GPER1 protein expression in the cerebral cortex and hippocampus significantly increased 24 hours post-epilepsy onset.In the GPER1-KD+EP group,hipp-ocampal neuronal damage was more severe,with a sig-nificant increase in apoptotic neurons compared to the WT+EP group.The IntelliCage data revealed that during free exploration,nose contact,position learn-ing,and reverse position learning stages in the GPER1-KD+EP group exhibited fewer visits and a higher error rate than in the WT+EP group.Conclu-sions Deficiency in GPER1 impairs memory and spa-tial learning abilities following epilepsy,potentially due to exacerbated neuronal injury,apoptosis,and inflam-mation.GPER1 represents a promising therapeutic tar-get for mitigating post-epileptic nerve damage and cog-nitive impairment.

Objective To construct an animal model of dilated cardiomyopathy(DCM)with heart failure toxin syndrome that conforms to the characteristics of traditional Chinese medicine(TCM)syndrome and identify potential biomarkers or intervention targets for DCM with heart failure toxin syndrome.Methods Fifteen male SD rats were divided into a blank control,doxorubicin,or DCM with heart failure toxin syndrome group using a random number table method,with five rats per group.The doxorubicin group received intraperitoneal injection of doxorubicin at a dose of 1.25 mg/kg,administered on the first and fourth days of each week,along with a standard diet.The DCM with heart failure toxin syndrome group,in addition to the doxorubicin treatment,was given 42％white liquor(10 mL/kg)via gavage every other day,along with a 45％high-fat feed and 10％fructose water.The blank control group received intraperitoneal injection of an equivalent volume of phosphate-buffered saline at the same time points as the doxorubicin group,along with a standard diet.The model was established for 10 weeks.At the fourth and tenth weeks of modeling,echocardiography was performed to measure left ventricular ejection fraction(LVEF),fractional shortening(FS),systolic left ventricular posterior wall thickness(LVPWs),diastolic left ventricular posterior wall thickness,systolic left ventricular internal diameter(LVIDs),and diastolic left ventricular internal diameter(LVIDd);macroscopic changes in fur color of the rats were assessed using the red-green-blue colorimetric method.After modeling,the open field test was conducted to evaluate the exercise tolerance of the rats,and the grip strength test was performed to assess changes in forelimb grip strength.Hematoxylin-eosin,Masson,and wheat germ agglutinin staining were used to evaluate pathological changes in cardiac tissue.Bulk RNA sequencing analysis was performed to identify differentially expressed genes(DEGs)in the hearts of rats between the blank control and the DCM with heart failure toxin syndrome groups.Using DCM,the Blue value of rat fur color,and forelimb grip strength as phenotypic traits,weighted gene co-expression network analysis(WGCNA)was performed to screen for characteristic module gene sets(MEs)associated with DCM with heart failure toxin syndrome.Overlapping analysis was performed on DEGs,immune-related gene sets,and MEs,and the intersecting genes were identified as potential biomarkers or intervention targets for DCM with heart failure toxin syndrome.The sensitivity and specificity of these targets were evaluated using receiver operating characteristic(ROC)curve analysis.Results Compared with the blank control group,at the tenth week of modeling,the LVEF,FS,and LVPWs of rats in the doxorubicin group and the DCM with heart failure toxin syndrome group decreased,whereas LVIDs and LVIDd increased,and the movement distance of the open field test and forelimb grip strength were reduced(P＜0.05).At the 10th week of modeling,the Blue value of fur color in the DCM with heart failure toxin syndrome group was significantly lower than that of the blank control and doxorubicin groups(P＜0.05).Compared with the blank control group,rats in the doxorubicin and DCM with heart failure toxin syndrome groups exhibited significant cardiac dilation and increased immune cell infiltration in cardiac tissue,accompanied by collagen deposition and cardiomyocyte hypertrophy.Bulk RNA sequencing identified 2,003 DEGs,including 1,082 downregulated genes and 921 upregulated genes.WGCNA results revealed that the MEturquoise module had the strongest positive correlation with DCM and the strongest negative correlation with the Blue value and forelimb grip strength.The overlapping analysis identified four intersecting genes:bone morphogenetic protein 6(Bmp6),serine-threonine-protein kinase 1(Pak1),proto-oncogene JunD(JunD),and S100 calcium-binding protein A3(S100A3).ROC curve analysis demonstrated that these four genes exhibited high sensitivity and specificity for DCM with heart failure toxin syndrome.Conclusion The rat model constructed by intraperitoneal injection of doxorubicin combined with a high-fat feed,fructose water,and white liquor gavage closely aligns with the characteristics of the DCM with heart failure toxin syndrome.Bmp6,JunD,Pak1,and S100A3 are potential biomarkers or therapeutic targets for DCM heart failure toxin syndrome.

Purpose To investigate the clinical significance of Gasdermin B(GSDMB)in ovarian cancer and its relationship with immune infiltration,aiming to explore novel biomarkers for immunotherapy.Methods Gene expres-sion matrix,somatic mutations,somatic copy number alterations(SCNA),and clinical data were obtained from the The Cancer Genome Atlas(TCGA)database.Copy number variation(CNV)analysis was performed using the GISTIC algorithm,and the CIBERSORT algorithm was applied to quantify the relative abundance of 22 immune cell types in the tumor microenvironment.Protein-protein interaction(PPI)network analysis was conducted to identify GSDMB-associ-ated interacting proteins.Additionally,multiplex immunofluorescence was used to verify the spatial distribution differ-ences of GSDMB protein in clinical ovarian cancer samples with different immune phenotypes and its interaction with immune cells.Results The expression level of the GSDMB gene was significantly higher in adjacent non-cancerous tissues than in tumor tissues(P＜0.001).Patients with high GSDMB expression exhibited elevated levels of immune chemokines(such as CXCL9 and CXCL10,P＜0.01)and tumor-killing lymphocytes(the proportion of CD8+T cell was significantly higher in the high-expression group than in the low-expression group,P＜0.001).CNV analysis re-vealed that GSDMB copy number alterations significantly influenced immune cell infiltration:patients with GSDMB cop-y number amplification had decreased infiltration levels of CD4+T cells and dendritic cells(P＜0.05),while those with deep deletion of GSDMB had significantly reduced infiltration levels of CD8+T cells and neutrophils(P＜0.01).PPI network analysis indicated that GSDMB might interact with key immune molecules,including IL-37,IL-18BP,IL-33,and IL-2(Pearson correlation coefficient r＞0.6,P＜0.001).Multiplex immunofluorescence analysis demonstra-ted that tumors with high GSDMB expression were more likely to exhibit an immune-inflamed phenotype(52.6％),while tumors in the low-expression group were predominantly immune-desert type(47.3％).Immunotherapy cohort a-nalysis suggested that GSDMB could serve as a potential predictive biomarker for immunotherapy responsiveness,with high predictive efficacy in multiple immune checkpoint inhibitor therapy cohorts targeting PD-1,PD-L1,and CTLA4(AUC＞0.8).Conclusion GSDMB plays a crucial role in reshaping the tumor microenvironment in ovarian cancer and may serve as a novel sensitizing target for immunotherapy.

OBJECTIVE To investigate the relationship between nurse-to-patient ratios and hospital-acquired infec-tions(HAIs)in the intensive care units,and to assess the impact of both average and maximum nurse-to-patient ratios on the risk of HAIs.METHODS Data were obtained from the hospital information system(including Hospi-tal Information System,nursing sensitive quality indicator monitoring system and hospital infection management system).Inpatients aged 18 years and older in ten intensive care units from 1 Jan.2022 to 31 Dec.2023 were in-cluded;data on the nurse-to-patient ratios during day shifts,night shifts and the overall period and HAIs cases were collected.Univariate test was conducted to compare differences between the infection group and the non-infection group.Logistic regression models were utilized to evaluate the association between various nurse-to-patient ratio indicators and the risk of HAIs while controlling the covariates.RESULTS A total of 2 742 patients were included,with an HAIs incidence rate of 18.23％.The average patient-to-nurse ratio was significantly low-er in the infection group than in the non-infection group(2.76±0.82 vs.3.27±1.16,P＜0.001),whereas the maximum nurse-to-patient ratios for the overall period,day and night shifts were 3.57±1.09(infected)vs.3.91±1.31(uninfected),3.30±1.12 vs.3.48±1.16,and 4.62±1.85 vs.5.10±2.08,respectively(all P＜0.001).Regression analysis showed that no significant association between the average nurse-to-patient ratios for the overall period,day and night shifts and the risk of HAIs;whereas the odds ratios(ORs)for the maximum patient-to-nurse ratio greater than 4 were 2.122(1.355-3.324)for the overall period,2.061(1.333-3.186)for the day shift and 1.495(1.055-2.118)for the night shifts(all nurse-to-patient ratios≤3 in the reference group).CONCLUSIONS The maximum nurse-to-patient ratios are important risk factors for HAIs in the intensive care u-nits,whereas the average nurse-to-patient ratios are not significantly associated with HAIs.It is suggested that in-sufficient nursing resources during peak hours may increase the risk of infection,and optimizing the allocation of nursing care during peak hours will help to reduce the incidence of HAIs.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective To establish and evaluate a mouse model of acute myocardial infarction(AMI)with coronary heart disease(CHD)that integrates syndrome differentiation with disease diagnosis,based on the"deficiency-stagnation-toxicity"pathogenesis.Methods Forty-eight ICR mice were randomly divided into four groups using a random number table:sham-operated,normal diet,high-choline,and trimethylamine N-oxide(TMAO).From weeks 1 to 8,each group received corresponding dietary and water interventions.From the 9th week,the normal diet,high-choline,and TMAO groups underwent coronary artery ligation(left anterior descending artery,LAD).In contrast,the sham-operated group only had suture placement without ligation,maintaining the same dietary and water interventions.Data on general signs,body weight,food and water intake,urine and feces,auricle and paw conditions,and behavioral patterns were collected and compared macroscopically and microscopically to determine the syndrome type of the high-choline-induced AMI mouse model and observe changes in the"deficiency-stagnation-toxicity"syndrome indicators.After 12 weeks,echocardiography,hematoxylin-eosin(HE)staining,and Masson′s trichrome staining were used to assess cardiac function,myocardial tissue cellular morphology changes,and myocardial fibrosis levels,respectively.The stability and reliability of the model were evaluated by observing the fluorescence intensity of inflammatory cytokines in the myocardial tissues of each group using immunofluorescence.Results Mice in all groups post-AMI surgery exhibited significant weight loss,dull fur,lethargy,and reduced activity.Mice in the high-choline and TMAO groups showed more sluggish responses to stimuli.The high-choline and TMAO groups displayed increased food intake but slow weight gain from weeks 1 to 4,developing into a trend of"increased food and water intake with weight loss"from 5 to 8 weeks,accompanied by yellowish urine and dry stools(P<0.01).Postoperatively(9-12 weeks),body weight significantly decreased,with the most prominent weight loss observed in the high-choline group.The high-choline and TMAO groups exhibited abnormal RGB values in auricles and paws(P<0.01),and behavioral tests showed a significant decline in open-field activity(P<0.01).Cardiac function and pathological examinations revealed that,compared with the sham-operated and normal diet groups,mice in the high-choline and TMAO groups had increased left ventricular end-diastolic and end-systolic volumes(P<0.01),decreased left ventricular ejection fraction and fractional shortening(P<0.01),and elevated heart indices(P<0.05).HE staining of myocardial tissues indicated more pyknotic nuclei and inflammatory cell infiltration in the high-choline and TMAO groups.Masson′s trichrome staining showed extensive blue-stained collagen fiber distribution in the infarct border zones of the high-choline and TMAO groups,with aggravated fibrosis(P<0.05).Immunofluorescence revealed elevated interleukin-1 beta and tumor necrosis factor-alpha levels in the high-choline and TMAO groups compared with the sham-operated and normal diet groups(P<0.01).Conclusion A high-choline diet combined with LAD ligation successfully established an animal model of AMI with CHD that integrates syndrome differentiation with disease diagnosis,based on the"deficiency-stagnation-toxicity"pathogenesis.This model not only embodies the traditional Chinese medicine theory′s understanding of the pathogenic features of"deficiency-stagnation-toxicity",but also serves as a reference for assessing the interventional effects of Chinese herbal compound prescriptions and facilitating research on syndrome patterns in traditional Chinese medicine.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Objective : To analyze the epidemiological characteristics and spatial clustering of brucellosis in Shanxi Province from 2019 to 2023, so as to provide a reference for formulating prevention and control measures of brucellosis. Methods: The case data of brucellosis in Shanxi Province from 2019 to 2023 were collected through the Infectious Disease Surveillance System of the Chinese Disease Prevention and Control Information System. The seasonal distribution, population distribution, and region distribution of brucellosis cases were described. Spatial autocorrelation analysis was applied to explore the spatial clustering characteristics of brucellosis. Results: A total of 21 241 human brucellosis cases were reported in Shanxi Province from 2019 to 2023, with an average annual reported incidence of 11.87/100 000, showing an upward trend (P<0.05). The peak incidence period was from March to August, with 14 163 cases reported cumulatively, accounting for 66.68% of the total. There were 16 336 male cases and 4 905 female cases, with a male-to-female ratio of 3.33:1. The high-incidence age group was 40-<70 years, with 15 675 cases accounting for 73.80%. The majority of patients were farmers, with 17 926 cases accounting for 84.39%. Spatial autocorrelation analysis showed that there was spatial clustering in the incidence of brucellosis from 2019 to 2023 (all Moran's I>0, P<0.05). The high-high clustering areas were mainly Datong City, and Shuozhou City in northern Shanxi, and Linfen City in the southern Shanxi. The low-low clustering areas were mainly Taiyuan City and Yangquan City in central Shanxi, and Changzhi City and Jincheng City in southeastern Shanxi. Conclusions From 2019 to 2023, the reported incidence of brucellosis in Shanxi Province showed an upward trend. The incidence peaked from March to August, and males, middle-aged and elderly people and farmers were the high-risk groups. There was spatial clustering and the high-high clustering areas gradually expanded from northern Shanxi to southern Shanxi.