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.

Objective To investigate the correlation between serum uric acid(SUA)levels and incident chronic kidney disease(CKD)in middle-aged and elderly Chinese population and gender differences.Methods Based on the longitudinal survey data of China Health and Retirement Longitudinal Study from 2011 to 2015,the CKD-Epidemiology Collaboration cystatin C formula was used to estimate the glomerular filtration rate(eGFR),and 4 119 participants with normal renal function(eGFR≥60 mL·min-1·1.72 m-2)at baseline were included.Incident CKD was defined as eGFR<60 mL·min-1·1.72 m-2 at the follow-up in 2015.Logistic regression analysis was used to analysis the association of SUA levels at baseline and incident CKD among different genders.Restricted cubic spline analysis was used to analyze the dose-response relationship.Results After 4-year follow-up,127 participants developed incident CKD,including 57 males and 70 females.Multivariate Logistic regression analysis showed that elevated SUA levels were independently associated with the risk of incident CKD(OR=1.532,P<0.001).For each 1 mg/dL increase in SUA,the risk of incident CKD increased by 33.6%in males(OR=1.336,P=0.012)and 77.5%in females(OR=1.755,P<0.001).Restricted cubic spline analysis showed a linear positive correlation between SUA levels and incident CKD in both males and females.Participants were divided into four groups according to SUA quartiles(Q1-Q4).Multivariate Logistic regression analysis indicated a significant increase in the risk of incident CKD in Q3 group(3.75 mg/dL4.43 mg/dL)compared with Q1 group in females(Q3 group:OR=2.571,P=0.045;Q4 group:OR=3.666,P=0.005).Conclusion SUA is an independent risk factor for incident CKD in the middle-aged and elderly population.In females,serum uric acid levels exceeding 3.75 mg/dL are associated with an increased risk of incident CKD.

Objective:To investigate the effects of 3 D laparoscopic radical resection prostatectomy(LRP)on urinary control and sexual function of patients with prostatic cancer.Methods:A total of 268 patients who were treated with LRP in the Fifth People's Hospital of Huai an City from January 2019 to May 2022 were selected and divided into 2 groups according to surgical methods,with 134 cases in each group.The patients in the control group were treated with traditional LRP,and the 3D LRP was used in the observa-tion group.The clinical effects of the two groups were compared.Results:The patients in observation group had less blood loss([135.62±13.58]mL vs[143.18±14.89]mL)and shorter indwelling catheter time([8.26±1.47]d vs[9.78±1.73]d)compared with control group,but the operation time([160.52±10.78]min vs[154.47±10.41]min)was longer than that in the control group(P＜0.05).The recovery of sexual function and urinary control in the observation group was better than that in the con-trol group after 3,6 and 12 months of the surgery(P＜0.05).After one month of surgery,the scores of ICIQ-SF and 1 h urine pad test were lower than those of the control group.The EPIC-UIN score([72.63±6.85]points vs[67.15±5.09]points)of the observation group was higher than that of the control group(P＜0.05).The patients in the observation group had lower level of residual urine volume([60.26±6.63]mL vs[76.89±7.89]mL),higher maximum urine flow rate([7.52±0.46]mL/s vs[6.17±0.43]mL/s)and detrusor pressure([85.19±7.18]mL vs[76.29±6.85]mL)at maximum urine flow rate compared with the control group(P＜0.05).There was no difference in the incidence of complications between the observation group and the control group(5.97％vs 8.27％,P＞0.05).The recurrence rate of tumor 3 years after operation in the observation group was lower than that in the control group(11.94％vs 29.10％,x2=12.102,P＜0.05).Conclusion:3D LRP has obvious advantages in surgical clarity and preci-sion,which reduces the risk of postoperative complications and improves urinary control ability and sexual function of patients.

Aim To investigate the role of FRMD4A in autophagy of placental trophoblast cells in preeclampsia(PE).Methods The placental tissues and clinical data of normal pregnancy and PE were obtained,and the histopathological changes were observed by HE staining.An in vitro model of hypoxia-induced HTR-8/SVneo trophoblast cells was established.The expres-sions of LC3B Ⅱ/Ⅰ and p62 in placental tissues and hypoxic cell models were analyzed by Western blot.The expression of FRMD4A was detected by qRT-PCR,Western blot and immunofluorescence,and the correlation between the expression level of FRMD4A and the clinical characteristics of the subjects was ana-lyzed by Pearson correlation analysis.Hypoxia induced trophoblast cells were transfected with si-FRMD4A,and the expression of LC3 B Ⅱ/Ⅰ and p62 was analyzed by Western blot.Results Compared with the normal group,the expression of LC3B Ⅱ/Ⅰ in PE placental tissues and hypoxia-induced trophoblast models was significantly upregulated,while the expression of p62 was significantly downregulated.Meanwhile,the ex-pression of FRMD4A increased significantly.Moreo-ver,its expression was positively correlated with the maternal systolic blood pressure,diastolic blood pres-sure,and platelet count,but negatively correlated with the neonatal weight(P＜0.01).In addition,hypoxia-induced trophoblast cells transfected with si-FRMD4A showed a significant decrease in LC3B Ⅱ/Ⅰ and an increase in p62 expression.Conclusions The expres-sion of FRMD4A is upregulated in PE placenta and hy-poxia-induced trophoblast cell model.Interfering with it can significantly hinder the autophagy process of trophoblast cells,suggesting that it may serve as a po-tential molecular target to participate in the pathologi-cal process of PE.

Objective To investigate the effects of three types of twin-block(TB)appliances on the stress and displacement of anterior teeth,periodontal ligaments,and alveolar bone.Methods A three-dimensional(3D)finite element model was constructed,including maxillofacial bones,articular discs,teeth,and periodontal ligaments.Three types of twin-block appliances were designed:classic twin-block(classic-TB),twin-block with acrylic capping(capping-TB),and clear twin-block aligner(CTBA).All appliances had an inclination angle of 70°,and a masticatory force of 200 N was applied to their inclined planes.The finite element method was used to analyze the stress distribution and displacement differences of anterior teeth.Results All three types of TB appliances induced lingual tilting of maxillary anterior teeth and labial tilting of mandibular anterior teeth.The CTBA group showed the greatest lingual displacement and stress of maxillary anterior teeth,with a maximum stress of 30.6 MPa,while the mandibular anterior teeth in this group exhibited the smallest labial displacement(approximately 0.02 mm)and stress.Additionally,the CTBA group had the lowest compressive stress in mandibular anterior teeth,periodontal ligaments,and alveolar bone,whereas the classic-TB group had the highest.Conclusions In the treatment of Angle Class Ⅱ malocclusion,classic-TB(with or without acrylic capping)causes labial inclination of mandibular anterior teeth.Compared with classic-TB,CTBA effectively reduces the compressive stress and displacement of mandibular anterior teeth,potentially minimizing adverse periodontal risks.However,attention should be paid to the lingual displacement of maxillary anterior teeth.

Objective:This study empirically analyzes the relationship between outpatient and inpatient services under the impact of healthcare payment reform,and evaluates the effects of the reform.Methods:Data from healthcare services and basic medical insurance payments in eight districts of Jinhua City from 2020 to 2022 were used.A fixed-effects model for outpatient and inpatient services was constructed to analyze the impact of healthcare payment reforms and outpatient services on inpatient services.Results:The DRG-based payment had a significant positive effect on inpatient visits and a significant negative effect on employee basic medical insurance inpatient costs.The"capitation+APG"outpatient payment policy had a significant negative effect on inpatient visits and a significant negative effect on residents'basic medical insurance inpatient costs.The interaction between outpatient payment and outpatient visits had a significant negative effect on employee basic medical insurance inpatient visits,while the interaction between outpatient payment and outpatient costs had a significant negative effect on both overall and employee inpatient costs.Conclusions:The DRG payment reform led to an increase in inpatient visits and a reduction in employee basic medical insurance inpatient costs.The outpatient"capitation+APG"payment reform reduced inpatient visits and lowered residents'basic medical insurance inpatient costs,thereby slowing down the complementary effect between outpatient and inpatient services.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To comprehensively analyze the current situation of the policy tools for primary healthcare medication continuity and security in China,and to provide advice for improving the policy system of primary healthcare medication continuity and security.Methods:Based on the theory of policy tools,a two-dimensional analysis framework of"policy tools-policy goals"was constructed.Results:A total of 407 policy text codes were generated from 58 policy texts included in the analysis.Among them,the supply-based policy tools were the most(41.03%),followed by environmental(37.59%)and demand-based(21.38%);the policy goals mainly focused on promoting the equipment and linkage of medication(21.84%),optimizing the types of medication(18.88%),and improving the centralized supply and distribution of medication(18.25%).Conclusions:Significant regional disparities exist in the design and implementation of China's primary healthcare medication continuity and security policies.Certain policy tools are absent,policy objectives lack comprehensive coverage,and coordination remains inadequate.It is suggested to optimize regional policy layouts through differentiated configuration and cross-regional coordination,enhance policy adaptability by refining policy tool combinations,strengthen weak segments and vertical coordination,promote the articulation of primary healthcare medication based on tight medical consortium,and finally build a systematic and dynamically adaptive primary healthcare medication continuity and security policy system.

Objective:It is of great significance to analyze the expression characteristics of immune-related genes in pancreatic cancer and their relationship with prognosis,construct and verify a reliable prognostic model,and explore prognostic methods of pancreatic cancer from the perspective of immune microenvironment.Methods:GSEA enrich-ment analysis of differentially expressed genes in pancreatic cancer was performed to identify key immune-related pathways and genes.The genes involved in the immune pathway were screened through the STRING database and combined with univariate Cox regression and LASSO regression analysis.Three key genes,RIPK2,IRAK2 and CXCL11,were finally identified to construct the prognostic model.The accuracy of the model was evaluated using ROC curves and calibration curves,and verified in an independent verification set(GSE57495).At the same time,the expression pat-terns of key genes in the immune microenvironment were analyzed by single-cell RNA sequencing,and the expression levels of these genes were verified in pancreatic cancer cell lines by RT-qPCR.Results:The expressions of RIPK2,IRAK2 and CXCL11 in pancreatic cancer cell lines were higher than those in normal pancreatic cancer cells(P<0.05).The model based on these three genes divided the patients into a high-risk group(n=87)and a low-risk group(n=89),and the difference in survival time between the high-risk group and the low-risk group was statistically significant(P<0.001).Risk score was correlated with G stage,N stage and tumor residue(P<0.01).Single-cell analysis showed that the ex-pression of these genes was highest in tumor-associated macrophages(mean>0.5)and correlated with regulatory T cells and macrophage infiltration(P<0.05).Multivariate analysis showed that risk score was correlated with overall sur-vival after adjusting for clinical factors(P=0.0014).Conclusion:Based on three key immune-related genes(RIPK2,IRAK2 and CXCL11),we successfully constructed a model to accurately predict the prognosis of pancreatic cancer pa-tients,revealing the important role of these genes in the tumor immune microenvironment,and providing new insights and theoretical basis for pancreatic cancer prognosis assessment and immunotherapy research.

Objective:It is of great significance to analyze the expression characteristics of immune-related genes in pancreatic cancer and their relationship with prognosis,construct and verify a reliable prognostic model,and explore prognostic methods of pancreatic cancer from the perspective of immune microenvironment.Methods:GSEA enrich-ment analysis of differentially expressed genes in pancreatic cancer was performed to identify key immune-related pathways and genes.The genes involved in the immune pathway were screened through the STRING database and combined with univariate Cox regression and LASSO regression analysis.Three key genes,RIPK2,IRAK2 and CXCL11,were finally identified to construct the prognostic model.The accuracy of the model was evaluated using ROC curves and calibration curves,and verified in an independent verification set(GSE57495).At the same time,the expression pat-terns of key genes in the immune microenvironment were analyzed by single-cell RNA sequencing,and the expression levels of these genes were verified in pancreatic cancer cell lines by RT-qPCR.Results:The expressions of RIPK2,IRAK2 and CXCL11 in pancreatic cancer cell lines were higher than those in normal pancreatic cancer cells(P<0.05).The model based on these three genes divided the patients into a high-risk group(n=87)and a low-risk group(n=89),and the difference in survival time between the high-risk group and the low-risk group was statistically significant(P<0.001).Risk score was correlated with G stage,N stage and tumor residue(P<0.01).Single-cell analysis showed that the ex-pression of these genes was highest in tumor-associated macrophages(mean>0.5)and correlated with regulatory T cells and macrophage infiltration(P<0.05).Multivariate analysis showed that risk score was correlated with overall sur-vival after adjusting for clinical factors(P=0.0014).Conclusion:Based on three key immune-related genes(RIPK2,IRAK2 and CXCL11),we successfully constructed a model to accurately predict the prognosis of pancreatic cancer pa-tients,revealing the important role of these genes in the tumor immune microenvironment,and providing new insights and theoretical basis for pancreatic cancer prognosis assessment and immunotherapy research.