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.

OBJECTIVES: This study aimed to explore the therapeutic effect and mechanism of ginsenoside Rb3 on experimental periodontitis and bone resorption in rats. METHODS: Male SD rats were randomly divided into a control group, a ligation group, an Rb3 group, and a doxycycline (Dox) group for in vivo experiments. A periodontitis model was established by ligating the maxillary second molar, and samples were collected after 3 weeks of drug treatment. Micro-CT assessment of alveolar bone resorption was performed, and hematoxylin-eosin (HE) staining was used to observe pathological changes in periodontal and visceral tissues. Tartrate resistant acid phosphatase (TRAP) staining was applied to detect the formation of osteoclasts in periodontal tissues, and enzyme-linked immunosorbent assay (ELISA) was adopted to detect the serum levels of interleukin (IL)-6, IL-8, immunoglobulin (Ig)M, and IgG. Quantitative polymerase chain reaction (qPCR) was employed to detect the expression of factors related to gingival inflammation and osteoclast formation. Immunofluorescence staining was used to detect phospho-extracellular signal-regulated kinase (p-ERK) expression. In vitro experiments were conducted by pretreating RAW264.7 cells with drugs and adding lipopolysaccharides (LPS) stimulation from Porphyromonas gingivalis (P. gingivalis). IL-1β and IL-6 mRNA expression was detected by qPCR, and Western blot was used to detect the effect of Rb3 on the mitogen-activated protein kinases (MAPKs) signaling pathway. RESULTS: Compared with the control group, the ligation group showed significant periodontitis and bone resorption. Compared with the ligation group, the Rb3 group showed a decrease in alveolar bone resorption and osteoclast formation; p-ERK/ERK ratio, IL-1β, IL-6, and nuclear factor of activated T cells (NFATc1) mRNA levels and downstream gene expression in periodontal tissues; serum IL-6, IL-8, IgG, and IgM levels. Rb3 reduced IL-8 and IL-1β mRNA expression levels and p-ERK/ERK and p-p38 MAPK/p38 MAPK ratios in RAW264.7 cells induced by P. gingivalis LPS stimulation. CONCLUSIONS Rb3 inhibits inflammation and bone resorption in experimental periodontitis in rats. Compared with Dox, Rb3 has better effects in inhibiting pro-inflammatory factors and osteoclast gene expression and may exert anti-inflammatory effects by activating the MAPK signaling pathway.
Animals ; Ginsenosides/therapeutic use* ; Rats, Sprague-Dawley ; Male ; Periodontitis/pathology* ; Rats ; Osteoclasts/drug effects* ; Interleukin-1beta/metabolism* ; Interleukin-6/blood* ; Mice ; Alveolar Bone Loss ; Interleukin-8/blood* ; Immunoglobulin G/blood* ; RAW 264.7 Cells ; Transcription Factors

Objective: To investigate whether fibroblast growth factor 18(FGF18) can induce human gingival fibroblasts(HGFs) isolatedin vitroto differentiate into osteoblast-like cells, and to explore the mechanism of osteogenesis. Methods : HGFs were isolated, cultured and identified by tissue block method. The third generation of HGFs were divided into experimental group and control group. FGF18 and L-DMEM was added to the experimental group while L-DMEM was added to the control group.The effects of different concentrations of FGF18(0, 0.01, 0.02, 0.04, 0.06 mg/L) on proliferation of HGFs were detected by Methylthiazolyldiphenyl-tetrazolium bromide(MTT) assay. Alkaline phosphatase(ALP) and alizarin red staining were used to detect the osteogenesis and mineralization ability of the cells after induction. RT-PCR, immunocytochemistry staining, and Western blot were used to detect the expression of genes and proteins related to osteogenesis and BMP2 in the BMP signaling pathway. Results: Compared with the control group, the experimental group could promote the proliferation of HGFs at 3, 5, 7, 9, and 11days(P<0.05),ALP activity and mineral salt deposition increased after induction at 14 and 21 days(P<0.05), and the expressions of ALP, OPN, OCN mRNA and BMP2 mRNA in BMP signaling pathway significantly increased(P<0.01). The expressions of OPN, OCN and BMP2 protein at 21 days were significantly higher than those at 14 days(P<0.01). Conclusion FGF18 can promote the proliferation of HGFs, and induce the differentiation of HGFs into functional osteoblasts. The osteogenic mechanism is related to the upregulation of BMP2.

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.

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.

Objective:To explore the clinical application value of serum N-glycan profiles for evaluating the severity of liver tissue inflammation in patients with chronic hepatitis B (CHB).Methods:A total of 221 CHB patients who underwent liver biopsy at Mengchao Hepatobiliary Hospital of Fujian Medical University from January 2018 to December 2020 were retrospectively enrolled. The Scheuer scoring system was used to assess the histological inflammation grade of the liver tissue. Serum N-glycan levels were measured using DNA sequencer-assisted N-glycan fingerprinting (NGFP). Using the upper limit of the alanine aminotransferase (ALT) reference value (40 U/L) as a cutoff, logistic regression models were developed to construct diagnostic models under two scenarios: normal ALT or abnormal ALT. Models based on serum N-glycan levels and serum N-glycan levels combined with routine laboratory indicators, were used to non-invasively evaluation of various pathological grades of liver tissue inflammation in CHB patients. The DeLong test was used to compare the diagnostic efficacy of the models by analyzing the areas under the receiver operating characteristic curve (AUC). Glycosylation-related gene expression differences associated with varying degrees of liver inflammation were analyzed using the Gene Expression Omnibus (GEO) database.Results:In CHB patients with normal ALT level, the relative abundances of N-glycan structure peak 1 (NGA2F) and peak 2 (NGA2FB) increased with higher liver inflammation grades, while the relative abundance of peak 5 (NA2) decreased ( P<0.05). The AUCs of the HIS-G model (HIS-G A) and its enhanced version (HIS-G A Plus) for identifying significant inflammation and necrosis (≥G2, indicating the initiation of antiviral therapy) were 0.805 (95% CI 0.690-0.899) and 0.904 (95% CI 0.821-0.960), respectively. In CHB patients with ALT>40 U/L, the relative abundances of peaks 1 (NGA2F), 2 (NGA2FB), and 3 (NG1A2F) increased with higher liver inflammation grades, while the relative abundances of peaks 8 (NA3) and 11 (NA4) decreased ( P<0.05). The AUCs of the HIS-G model (HIS-G B) and its enhanced version (HIS-G B Plus) for identifying significant inflammation (≥G2) were 0.810 (95% CI 0.727-0.889) and 0.838 (95% CI 0.754-0.901), respectively. With increasing liver inflammation grades, the expression levels of four glycosyltransferase genes (CHST4, FUT8, SLC51B, and ST8SIA4) were significantly upregulated ( P<0.05). Conclusions:Serum N-glycan biomarker models can be used to assist in evaluating the severity of liver tissue inflammation in CHB patients with both normal and abnormal ALT levels.

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 explore the factors affecting the success rate of operation in patients with end-stage renal disease by analyzing and comparing the differences of patients'basic conditions and clinical laboratory data.Methods A total of 107 patients who underwent forearm autogenous arteriovenous fistula surgery in Nujiang Lisu Autonomous Prefecture People's Hospital from January 2021 to August 2024 were selected and divided into AVF failure group and AVF success group according to whether internal fistula occluded during the operation or within 1 week after the operation.The basic data and clinical laboratory data of enrolled patients were collected.Correlation statistical methods were used to compare whether there were differences between the two indexes.Results Univariate analysis showed that there were statistically significant differences between the two groups in smoking history,diabetes history,nephritic syndrome history,gender,preoperative blood pressure,hemoglobin,low density lipoprotein and total cholesterol(P<0.05).However,There was no significant difference between the two in history,age,white blood cell count,neutrophil count,lymphocyte count,monocyte count,platelet,creatinine,urea nitrogen,triglyceride,blood calcium,blood phosphorus,calcium-phosphorus product,fibrinogen,D-dimer and albumin(P>0.05).Binary Logistic regression analysis showed that gender,diabetes history,nephritic syndrome history,preoperative blood pressure,hemoglobin and low-density lipoprotein were independent risk factors for AVF initiation failure(P<0.05).Conclusion Female patients,history of diabetes mellitus,history of nephrotic syndrome,low hemoglobin,elevated low-density lipoprotein,and poor blood pressure control are independent factors affecting the failure of AVF initiation.