Objective: To investigate the prevalence and associated factors of depressive symptoms among junior and senior high school students in Beijing from 2019 to 2023, in order to provide a scientific basis for interventions targeting high risk groups. Methods: From 2019 to 2023, a stratified cluster random sampling method was used to select 88 927 junior and senior high school students from 16 districts in Beijing. The Center for Epidemiologic Studies Depression Scale(CES-D) was conducted to assess depressive symptoms. The Chi square test was used to compare the detection rates of depressive symptoms among different student groups, and the trend Chi square test was employed for trend analysis of detection rates across the years. Multivariate Logistic regression analysis was applied to examine the association between the detection of depressive symptoms and related factors among junior and senior high school students. Results: From 2019 to 2023, the prevalence rates of depressive symptoms among junior and senior high school students in Beijing were 20.45%, 18.19%, 16.64%, 17.89% and 18.17%, respectively, with an overall downward trend ( χ 2 trend =27.51, P <0.01). Multivariate Logistic regression analysis revealed that after adjusting for gender, monitoring year, educational stage,family structure,boarding status and has taken a medical leave of absence in the past year unhealthy dietary behaviors ( OR=1.80, 95%CI =1.73-1.87), physical inactivity ( OR=1.24, 95%CI =1.19-1.29), try smoking ( OR=1.46, 95%CI =1.35-1.58), try alcohol( OR=1.96, 95%CI =1.88-2.05), Internet addiction ( OR=3.88, 95%CI =3.57-4.22), and adverse ear related behavior ( OR=1.82, 95%CI =1.71-1.93) were all associated with an increased risk of depressive symptoms among junior and senior high school students (all P <0.05). Conclusions The prevalence depression symptoms among middle school students in Beijing showed a fluctuating downward trend from 2019 to 2023. Targeted interventions should be adopted to reduce the occurrence of depression symptoms among junior and senior high school students.

Based on the theory of diseased collaterals and the progression pattern of diabetic kidney disease （DKD）， this paper proposes a staged treatment system based on the "three states of kidney collaterals" including collateral distention， collateral bi （痹） and collateral accumulation. In the collateral distention stage， the primary pathogenesis is heat damaging the kidney collaterals and collateral vessel dilation， corresponding to the early state of DKD characterized by hyperfiltration and microalbuminuria； the clearing method is suggested， and Shenling Jiangtang Formula （参苓降糖方） can be used to promote the remission of proteinuria by ameliorating insulin resistance and regulating intestinal microecology. In the collateral bi stage， the core pathogenesis lies in the binding of phlegm and stasis， and the formation of concretions and conglomerations in the kidney collaterals， corresponding to massive proteinuria and the decline of renal function， for which the unblocking method should be taken， using Jinchan Yishen Tongluo Formula （金蝉益肾通络方） and Qingre Xiaozheng Formula （清热消癥方） to alleviate renal pathological damage by regulating the autophagy-lysosome pathway and repairing mitochondrial energy metabolism. The collateral accumulation stage is characterized by the internal retention of turbid toxins and accumulations of concretions in the kidney collaterals， corresponding to renal fibrosis and end-stage renal disease （ESRD）； the dispersion method is suggested， and Yiqi Tongluo Xiezhuo Formula （益气通络泄浊方） and Shenyan Fangshuai Fluid （肾炎防衰液） can be used to inhibit extracellular matrix accumulation and delay the progressive loss of renal function. Collateral deficiency runs through the entire course of the disease and is closely related to cellular senescence and the imbalance of the ubiquitin-proteasome/autophagy system. The concept of the "three states of kidney collaterals" integrates the evolution of traditional Chinese medicine pathogenesis with modern pathological staging， forming a whole-course intervention system of "staging-syndrome differentiation-target-formula"， thereby providing novel insights for prevention and treatment of DKD using integrated traditional Chinese and western medicine.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

BACKGROUND:Studies have found that massage can reduce blood sugar,promote myogenic factor expression,and increase skeletal muscle content.The extracellular matrix is an important component of skeletal muscle,and association between massage and extracellular matrix and their mechanism of action are still unclear.OBJECTIVE:To explore the effect of massage on extracellular matrix collagen deposition in type 2 diabetic sarcopenia rats.METHODS:Totally 24 Wistar male rats were randomly divided into blank group,model group,and massage group.High-fat diet combined with the streptozotocin method was used to establish a type 2 diabetes mellitus and sarcopenia model.After successful model establishment,the massage group used abdominal massage combined with hind limbs.After 8 weeks of treatment,the fasting blood glucose and serum insulin levels of the rats were measured.The skeletal muscle mass was detected by dual-energy X-ray.The exhaustion time was measured by small animal treadmill.The sliding angle was measured by inclined board test.The pathological changes of skeletal muscle tissue were observed by hematoxylin-eosin staining.The skeletal muscle collagen deposition was observed by Masson staining.The mRNA and protein expressions of type Ⅰ and type Ⅲ collagen in skeletal muscle were detected by qPCR and western blot assay.RESULTS AND CONCLUSION:(1)Compared with the model group,the blood glucose(P＜0.05)and serum insulin(P＜0.01)decreased in the massage group.(2)Compared with the model group,the skeletal muscle mass,running exhaustion time,and the angle of inclined plate experiment were increased in massage group(P＜0.05).(3)Compared with the model group,the skeletal muscles of the massage group were arranged neatly,muscle atrophy was improved,and collagen fiber deposition was reduced.(4)Compared with the model group,the expression levels of type Ⅰ and type Ⅲ collagen mRNA and protein in skeletal muscle were decreased in the massage group(P＜0.05).(5)The results suggest that massage can enhance insulin sensitivity,lower blood sugar,improve skeletal muscle mass,strength and function,and diminish collagen deposition in rats with type 2 diabetes,and may be a potential target for massage to exert its therapeutic effects.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective:To evaluate the effect of exogenous short-chain fatty acids (SCFAs) preconditioning on the expression of zonula occludens-1 (ZO-1) in lung tissues of rats undergoing extracorporeal circulation (ECC).Methods:Thirty-six clean-grade healthy adult male Sprague-Dawley rats, weighing 320-420 g, were divided into sham operation group (S group), ECC group (E group) and SCFAs group, with 12 rats in each group. Seven days before the ECC, short-chain fatty acids dissolved in 2 ml of normal saline was given by gavage daily in SCFAs group, while the equal volume of normal saline was given by gavage in S group and E group. On the 8th day, E group and SCFAs group underwent arteriovenous catheterization and ECC for 1 h, while S group only underwent catheterization without ECC. Lung tissues were collected to observe the pathological results and detect the expression of ZO-1 (by Western blot), and the wet/dry lung weight ratio was calculated.Results:Compared with S group, the wet/dry lung weight ratio was significantly increased ( P<0.05), the expression of ZO-1 protein in lung tissue was down-regulated ( P<0.05), and the pathological damage of lung tissues was aggravated in E group and SCFAs group. Compared with E group, the wet/dry lung weight ratio was significantly decreased, the expression of ZO-1 protein in lung tissues was up-regulated ( P<0.05), and the pathological damage of lung tissues was significantly alleviated in SCFAs group. Conclusions:The mechanism by which SCFAs preconditioning attenuates lung injury may be related to up-regulation of ZO-1 expression in lung tissues of rats undergoing ECC.

Diabetic kidney disease （DKD） is one of the main causes of chronic kidney disease. Both traditional Chinese medicine （TCM） and western medicine have their own advantages in the prevention and treatment of DKD， but there are also many difficulties. By analysis of the difficulties faced by TCM and western medicine in the differentiation and treatment of DKD， based on the theory of "miniature masses in the renal collaterals"， combined with long-term clinical practice， "internal heat leading to mass" is proposed as the core pathogenesis of DKD. Therefore， a trinity model of "disease-syndrome-symptom" for differentiation and treatment of DKD based on the core pathogenesis has been proposed. This model highlights the status of the core pathogenesis of "internal heat leading to mass" in DKD， and conducts a three-dimensional identification from the perspectives of disease， syndrome and symptom， so as to inspire clinical practice.

Diabetic kidney disease(DKD)is one of the serious complications of diabetes.Ferroptosis causes pathological damage and is involved in the progression of DKD.How to inhibit ferroptosis and delay DKD is a new academic hotspot.The author's team further enriched and proposed the core pathogenesis theory of"internal heat induced disease"on the basis of the traditional DKD"yin deficiency and dryness-heat"theory,and explained the general development law of DKD.In this article,"internal heat"and"Zhengjia"in the theory of DKD"internal heat induced diseases"are used as the starting point to explore the relationship of the main pathological damage of ferroptosis such as activating inflammatory response,enhancing oxidative stress,promoting fibrosis and so on with the internal mechanism of the theory of"internal heat induced diseases",further explained the scientific connotation of DKD"internal heat induced diseases",in order to provide ideas and theoretical basis for the TCM prevention and treatment of DKD.

ObjectiveTo explore the mechanism of total saponins of Dioscoreae Nipponicae Rhizoma （TSDN） in treating gouty arthritis （GA） by regulating cyclooxygenase-2 （COX-2）-mediated M1 macrophage reprogramming by in vivo and in vitro experiments. MethodsIn vivo experiment： 24 male SD rats were randomly allocated into blank， model （GA）， TSDN， and celecoxib groups， with 6 rats in each group. After 7 days of administration， pathological changes in the ankle synovial tissue were observed via hematoxylin-eosin （HE） staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to quantify the mRNA levels of NOD-like receptor protein 3 （NLRP3） inflammasome， apoptosis-associated speck-like protein （ASC）， Caspase-1， COX-2， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） in the synovial tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the serum levels of inducible nitric oxide synthase （iNOS）， IL-1β， CD86， CD80， CD206， and arginase-1 （Arg-1）. In vitro experiment： The GA model was established by lipopolysaccharide （LPS） + MSU induction， and the inhibitor concentration was screened by the methyl thiazolyl tetrazolium （MTT） assay. RAW264.7 cells were allocated into blank， model， TSDN， dexamethasone， COX-2 inhibitor （celecoxib）， and TSDN + COX-2 inhibitor groups. The levels of iNOS， IL-1β， CD86， CD80， CD206， and Arg-1 in the cell supernatant of each group were determined by enzyme-linked immunosorbent assay （ELISA）. The mRNA and protein levels of NLRP3 inflammasome， COX-2， IL-1β， and TNF-α in each group were determined by Real-time PCR and Western blot， respectively. ResultsIn vivo experiment： compared with the model group， TSDN reduced the mRNA levels of NLRP3 inflammasome， COX-2， IL-1β， and TNF-α in the synovial tissue （P<0.05， P<0.01）. ELISA results showed that TSDN lowered the serum levels of iNOS， IL-1β， CD86， and CD80 （P<0.01） while increasing the serum levels of CD206 and Arg-1 （P<0.01）. In vitro experiment： compared with the model group， TSDN and inhibitor down-regulated the mRNA levels of NLRP3 inflammasome， COX-2， IL-1β， and TNF-α and the protein levels of NLRP3 inflammasome， COX-2， cleaved IL-1β， and TNF-α （P<0.01）. Compared with TSDN alone， TSDN + COX-2 inhibitor further reduced the mRNA and protein levels of the markers above （P<0.01）. Compared with the model group， TSDN and COX-2 inhibitor decreased the levels of IL-1β， iNOS， CD80， and CD86 （P<0.01） and increased the levels of CD206 and Arg-1 （P<0.01） in cells. Compared with TSDN alone， TSDN + COX-2 inhibitor reduced IL-1β， iNOS， CD80， and CD86 levels （P<0.05， P<0.01） and elevated CD206 and Arg-1 levels （P<0.01） in cells. ConclusionTSDN can alleviate GA by downregulating COX-2-mediated M1 macrophage reprogramming and suppressing the inflammatory factors.

ObjectiveTo explore the mechanism of total saponins of Dioscoreae Nipponicae Rhizoma （TSDN） in treating gouty arthritis （GA） by regulating cyclooxygenase-2 （COX-2）-mediated M1 macrophage reprogramming by in vivo and in vitro experiments. MethodsIn vivo experiment： 24 male SD rats were randomly allocated into blank， model （GA）， TSDN， and celecoxib groups， with 6 rats in each group. After 7 days of administration， pathological changes in the ankle synovial tissue were observed via hematoxylin-eosin （HE） staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to quantify the mRNA levels of NOD-like receptor protein 3 （NLRP3） inflammasome， apoptosis-associated speck-like protein （ASC）， Caspase-1， COX-2， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） in the synovial tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the serum levels of inducible nitric oxide synthase （iNOS）， IL-1β， CD86， CD80， CD206， and arginase-1 （Arg-1）. In vitro experiment： The GA model was established by lipopolysaccharide （LPS） + MSU induction， and the inhibitor concentration was screened by the methyl thiazolyl tetrazolium （MTT） assay. RAW264.7 cells were allocated into blank， model， TSDN， dexamethasone， COX-2 inhibitor （celecoxib）， and TSDN + COX-2 inhibitor groups. The levels of iNOS， IL-1β， CD86， CD80， CD206， and Arg-1 in the cell supernatant of each group were determined by enzyme-linked immunosorbent assay （ELISA）. The mRNA and protein levels of NLRP3 inflammasome， COX-2， IL-1β， and TNF-α in each group were determined by Real-time PCR and Western blot， respectively. ResultsIn vivo experiment： compared with the model group， TSDN reduced the mRNA levels of NLRP3 inflammasome， COX-2， IL-1β， and TNF-α in the synovial tissue （P<0.05， P<0.01）. ELISA results showed that TSDN lowered the serum levels of iNOS， IL-1β， CD86， and CD80 （P<0.01） while increasing the serum levels of CD206 and Arg-1 （P<0.01）. In vitro experiment： compared with the model group， TSDN and inhibitor down-regulated the mRNA levels of NLRP3 inflammasome， COX-2， IL-1β， and TNF-α and the protein levels of NLRP3 inflammasome， COX-2， cleaved IL-1β， and TNF-α （P<0.01）. Compared with TSDN alone， TSDN + COX-2 inhibitor further reduced the mRNA and protein levels of the markers above （P<0.01）. Compared with the model group， TSDN and COX-2 inhibitor decreased the levels of IL-1β， iNOS， CD80， and CD86 （P<0.01） and increased the levels of CD206 and Arg-1 （P<0.01） in cells. Compared with TSDN alone， TSDN + COX-2 inhibitor reduced IL-1β， iNOS， CD80， and CD86 levels （P<0.05， P<0.01） and elevated CD206 and Arg-1 levels （P<0.01） in cells. ConclusionTSDN can alleviate GA by downregulating COX-2-mediated M1 macrophage reprogramming and suppressing the inflammatory factors.