Objective: To explore the latent profile characteristics of regulatory emotional self-efficacy and its relationship with non-suicidal self-injurious (NSSI) behavior among junior and senior high school students, so as to provide a basis for effectively reducing NSSI behaviors. Methods: From April to October 2023, a total of 1 217 junior and senior high school students were selected from Tongren City, Zunyi City and Qiannan Prefecture of Guizhou Province by stratified cluster random sampling method. The Scale of Regulatory Emotional Self-efficacy and the Adolescent Self-injury Scale were administered. Latent profile analysis (LPA) was employed to explore distinct profiles of regulatory emotional self-efficacy, and the Lanza, Tan, and Bray s method (LTB) was used to analyze the relationship between these profiles and NSSI behavior. Results: The prevalence rate of NSSI behavior among junior and senior high school students was 28.6%. Among males, regulatory emotional self-efficacy was categorized into two types: moderate positive expression-low negative management group (59.1%, n =353) and high efficacy group (40.9%, n =244); among females, regulatory emotional self-efficacy was classified into three categories: low efficacy group (18.4%, n =114), high positive expression-low negative management group (56.3%, n =349), and high efficacy group (25.3%, n =157). There were statistically significant differences in total NSSI scores across different potential categories of regulatory emotional self-efficacy within both males and females ( Z/H = -5.75 , 57.58, both P <0.01). The differences in NSSI prevalence rates across the potential categories of regulatory emotional self-efficacy were statistically significant for both males and females ( χ 2=38.00, 69.14, both P <0.01), and among females, the differences in NSSI prevalence rates between the high efficacy group and the low efficacy group ( χ 2=60.01) and between the high efficacy group and the high positive expression-low negative management group ( χ 2=31.34) were also statistically significant (both P < 0.016 7 ). Binary Logistic regression analysis revealed that, compared with the high efficacy group within each gender, the moderate positive expression-low negative management group among males ( OR =2.36), and both the low efficacy group and the high positive expression-low negative management group among females ( OR =6.19, 2.97), were at an increased risk of engaging in NSSI (all P <0.01). Conclusion Different latent profiles of regulatory emotional self efficacy among junior and senior high school students are associated with NSSI behavior.

Diabetic kidney disease（DKD） is a chronic kidney structural and functional disorder caused by diabetes. With the global prevalence of diabetes continuing to rise， DKD has gradually become a major cause of chronic kidney disease and end-stage renal disease（ESRD）， posing a serious threat to patients' quality of life and long-term health outcomes. Studies have shown that apoptosis plays a pivotal role in the development and progression of DKD， with its mechanisms involving abnormal activation of multiple signaling pathways such as Toll-like receptor 4（TLR4）/nuclear transcription factor-κB（NF-κB）/B-cell lymphoma-2（Bcl-2）/cysteinyl aspartate-specific proteinase（Caspase）-3， protein kinase R-like endoplasmic reticulum kinase（PERK）/eukaryotic initiation factor 2α（eIF2α）/activating transcript factor 4（ATF4）/CCAAT enhancer-binding protein homologous protein（CHOP）， phosphatidylinositol 3-kinase（PI3K）/protein kinase B（Akt）/glycogen synthase kinase-3β（GSK-3β）， Janus kinase 2（JAK2）/signal transducer and activator of transcription 3（STAT3）， adenosine monophosphate-activated protein kinase（AMPK）/mammalian target of rapamycin（mTOR） and silent information regulator 1（SIRT1）/tumor suppressor protein 53（p53）， thereby accelerating renal pathological damage in DKD. Extensive evidence-based medical studies have confirmed that traditional Chinese medicine（TCM）， leveraging its unique therapeutic advantages of multi-target， multi-component and multi-pathway approaches， has demonstrated remarkable efficacy and favorable safety profiles in treating DKD. Recent studies have demonstrated that active components of TCM can specifically target and modulate key effectors in apoptotic signaling pathways. Meanwhile， traditional compound formulations exert synergistic effects through multiple approaches such as replenishing deficiency and activating blood circulation， detoxifying and dredging collaterals， tonifying kidney essence， and removing stasis and purging turbidity， thereby comprehensively regulating critical pathological processes including endoplasmic reticulum stress and mitochondrial apoptosis pathways. This combined therapeutic approach of molecular targeting and holistic regulation provides novel strategies for delaying the progression of DKD. Based on this， this paper provides an in-depth analysis of key apoptotic signaling pathways and their regulatory mechanisms， while systematically summarizing recent research advances regarding the therapeutic effects of TCM active components， compound formulations， and proprietary Chinese medicines on DKD through modulation of these pathways， with particular emphasis on their underlying molecular mechanisms. These findings not only elucidate the modern scientific connotation and theoretical basis of TCM in treating DKD but also establish a solid theoretical and practical foundation for promoting the wider clinical application and further research of TCM in the field of DKD treatment.

Elderly patients with lung cancer have a significantly increased risk of perioperative cardiopulmonary complications due to physiological decline, high incidence of complications and reduced surgical tolerance, which directly affects postoperative recovery and long-term survival. Although the concepts of minimally invasive surgery and enhanced recovery after surgery have improved clinical outcomes, early recognition and intervention of postoperative complications in elderly patients remains a significant challenge in the field of thoracic surgery. By integrating recent literature and clinical practice, this paper systematically analyzes the pathophysiological mechanism and risk factors of perioperative cardiopulmonary complications in elderly patients with lung cancer, and discusses individualized intervention strategies based on risk stratification and multidisciplinary team, in order to provide theoretical basis and practical guidance for optimizing perioperative management and improving postoperative prognosis in elderly patients.

Objective　To detect clustered regularly interspaced short palindromic repeats (CRISPR) in Listeria monocytogenes, and analyze the structure and homology of CRISPR loci. Methods Totally 34 strains of Listeria monocytogenes isolated in our laboratory were identified, PCR amplified and sequenced. The repeat sequence structure and spacer sequence homology in CRISPR loci were analyzed by bioinformatics software. Results A total of 7 CRISPR loci were detected in 34 strains. The mutation rate of the first 2 and last 2 bases of the Repeat sequence of CRISPR loci was higher, while the mutation rate of the middle part was lower. Seven CRISPR sites form eight CRISPR structural types, among which the Repeat sequences of CRISPR1 and CRISPR2 are relatively conserved, while the Repeat sequences of CRISPR1 and CRISPR5 can form dumbbell shaped secondary structures. The number of Spacer sequences contained in each CRISPR site ranges from 2 to 15, with an average of 2.43. The 136 Spacer sequences detected were not only homologous to Listeria plasmids and bacteriophages, but also homologous to uncultured virus sequences, staphylococcal bacteriophages, and Listeria innocua. The same CRISPR genotype did not show large-scale clustering, but some strains in the same year were in the same evolutionary cluster with close genetic relationships. Conclusion The CRISPR structure of Listeria monocytogenes in this study exhibits high specificity, and its homology with bacteriophages provides a theoretical basis for the application of bacteriophages in the control and prevention of Listeria monocytogenes.

Objective: To explore the relationship between related factors of non-suicidal self-injury behavior (NSSI) among middle school students in Guizhou Province, so as to provide the evidence for preventing high risk behaviors in adolescents. Methods: A stratified cluster random sampling method was used to select 1 034 junior and senior middle school students from Zunyi City, Qiannan Prefecture and Tongren City in Guizhou Province from April to October in 2023. Questionnaire survey was conducted to collect information including Adolescent Self injury Scale and Family Assessment Device. The R 4.4.1 software was employed for network analysis visualization, centrality indicators, and result stability assessment. Results: The detection rate of NSSI behavior among middle school students in Guizhou province was 29.6%, with a detection rate of 25.5% for boys and 33.1% for girls, showing a statistically significant difference ( χ 2=7.07, P <0.05). There were statistically significant differences in scores of emotional communication, egoism, family rules, positive communication, problem solving, expression of positive emotions and management of negative emotions self-efficacy, and bullying victimization in various dimensions between middle school students with and without NSSI ( Z =-13.66 to -7.05, P <0.01). NSSI among middle school students was positively correlated with social/relational bullying, depression and anxiety, and there were relatively close connections in the network ( r =0.35, 0.43, 0.42, P <0.01). Centrality indicators showed that the highest in strength and closeness centrality were stress ( Z =1.29, 1.58), the highest in betweenness centrality was for emotional communication ( Z =1.91), and the highest in expected influence index was for physical bullying ( Z =1.44)( P < 0.05). Conclusions Stress, emotional communication and physical bullying have significant impacts in the network of factors related to NSSI. Social/relational bullying, depression and anxiety have strong direct correlations with NSSI behavior among middle school students.

Objective:To evaluate the impact of the surgical strategy of selective thoracic duct(TD) ligation established through fluorescence thoracoscopy TD imaging technology on the occurrence of chylothorax after lung cancer surgery in the elderly.Methods:A prospective cohort study was conducted.Elderly patients who underwent right lung cancer surgery in the Department of Thoracic Surgery of Beijing Hospital from October 2023 to June 2024 were enrolled as the research subjects.The surgical approaches involved pulmonary resection, systematic lymphadenectomy, and selective TD ligation using fluorescence thoracoscopy.Prior to the surgery, 0.4 mg/kg indocyanine green(ICG)was injected subcutaneously into the right inguinal region of all patients.Clinical data, surgical details, pathological information, and intraoperative TD imaging, including the course, collateral vessels, and any injuries, were collected.Postoperative chylothorax and other complications were also recorded.Results:A total of 83 patients were enrolled, of which 38 were males, and 45 were females, with a median age of 68 years raging from 60 to 83 years old, TD imaging was observed in 69 cases(83.1%)within one hour after IGC injection.Intraoperative injuries of collateral branches were visualized in 4 cases(4.8%). Among them, 2 cases had injuries in both the 2R+ 4R and the subcarinal station, while 2 others had injuries of collateral branches only in the 2R+ 4R station.These 4 patients underwent concurrent TD ligation.No TD or collateral injury was found in the remaining patients during the surgery, and the TD was not ligated, none of the patients developed chylothorax postoperatively, and no adverse reactions related to indocyanine green were observed.Conclusions:Fluorescence thoracoscopy-guided TD imaging technique can well visualize TD and its collateral injuries in elderly lung cancer surgeries, assist in the management of leaks or TD ligation, thereby effectively preventing the occurrence of postoperative chylothorax.

Activated specific T cells possess the capability to directly recognize and eradicate tumor cells, a process pivotal in the anti-tumor immune response. In recent years, the field of tumor immunotherapy, particularly T cell-based strategies, has seen rapid advancements, resulting in several drugs receiving clinical approval and the initiation of numerous basic research endeavors and clinical trials. Among these strategies, adoptive T cell transfer therapy emerges as a principal focus, encompassing approaches such as chimeric antigen receptor T-cell (CAR-T), T-cell receptor-engineered T cell (TCR-T), tumor-infiltrating lymphocytes (TILs), and cytotoxic T lymphocytes (CTLs) therapies. This review endeavors to encapsulate the global research and development strides made in four categories of adoptive T cell therapies, while also dissecting their individual merits and limitations. The objective is to furnish insights that may bolster the development of tumor immunotherapy pharmacopeia and their efficacious clinical application in cancer treatment.

Objective:To establish the predictive model for major adverse cardiovascular events(MACE) following endovascular repair in elderly patients with abdominal aortic aneurysm(AAA).Methods:The clinical data and postoperative MACE were retrospectively collected from elderly patients with AAA who underwent their first endovascular aneurysm repair(EVAR)in Beijing Hospital and Tibet Autonomous Region People's Hospital between January 2016 and December 2023.Patients were randomly divided into training and validation cohorts at a ratio of 7∶3.Predictive models were using logistic regression, LASSO regression, random forest, linear discriminant analysis, na?ve Bayes, k-nearest neighbor algorithm, support vector machine, decision tree, and AdaBoost.Models were evaluated using receiver operating characteristic(ROC)curves.Results:A total of 171 elderly AAA patients were enrolled, aged 60 to 94 years(mean 73.0 ± 7.5 years), of whom 145 were male.MACE occurred after EVAR in 30 patients(17.5%). LASSO regression identified monocyte count, history of coronary artery disease, the ratio of maximum AAA diameter to body mass index(DBR), neutrophil-lymphocyte count ratio(NLR), and age as significant predictors, yielding an area under the ROC curve(AUC)of 0.816.Logistic regression achieved an AUC of 0.813 in the training cohort and 0.772 in the validation cohort.Among all models, AdaBoost demonstrated the best performance, with an AUC of 0.92 in the validation cohort.Conclusions:Age, monocyte count, DBR, NLR and creatinine could predict the occurrence of MACE after EVAR in AAA patients.The AdaBoost model provides the most accurate prediction of postoperative MACE.

Objective:To investigate the diagnostic value of contrast-enhanced ultrasound（CEUS）in solid pseudopapillary tumor of pancreas（SPTP），summarize the CEUS characteristics of SPTP，and to compare its CEUS enhancement with contrast-enhanced computed tomography（CECT）.Methods:In this retrospective study，baseline characteristics，basic ultrasound and CEUS images，CECT images of 70 patients diagnosed as SPTP from January 2009 to August 2023 were collected. Images were analyzed for extraction of key features and diagnostic accuracies of both CEUS and CECT were calculated. The relationships between ultrasound features and lesion size of SPTP were analyzed by Point-Biserial correlation analysis and Student t test. The diagnostic accuracy was compared by Mann-Whitney U test. Results:Iso-enhancement（55.7%，39/70）was commonly appeared in the early phase of CEUS for SPTP，while hypo-enhancement（74.3%，52/70）was the most common in the late phase. And the most common enhancement pattern was iso-hypo enhancement（41.4%，29/70）. Lesion membrane enhancement（47.1%，33/70），intralesional compartmentalization（28.6%，20/70），and intralesional vessels（25.7%，18/70）were the 3 typical signs found in CEUS for SPTP，which were correlated with lesion size（ P＜0.001）. Differences were found between the enhancement pattern of SPTP in CEUS and CECT，in which the most common enhancement patterns were hypo-hypo enhancement（41.4%，24/58）and iso-iso enhancement（29.3%，17/58）along with progressive enhancement. The diagnostic accuracies of CEUS and CECT were 71.4% and 74.1% respectively without statistically significant difference（ P=0.733）. Conclusions:CEUS shows high application value in the diagnosis of SPTP，and the accuracy of CEUS is comparable to that of CECT.

Objective To observe the value of CT radiomics machine learning(ML)model for predicting stone free rate(SFR)of urinary calculi after retrograde intrarenal surgery(RIRS).Methods Totally 216 patients with urinary calculi who underwent RIRS were retrospectively enrolled and divided into residual group(n=73)and non-residual group(n=143).Univariate and multivariate logistic regression(LR)were performed to analyze clinical data and CT manifestations of stones to screen independent predictors of SFR after RIRS.Window width and window level normalization combined with max-min normalization(denoted as method a),max-min normalization(denoted as method b),window width and window level normalization(denoted as method c)and non-normalization(denoted as method d)of pre-RIRS abdominal CT were performed,respectively,and the best radiomics features of stones were extracted and screened to establish ML models,including support vector machine(SVM),LR and stochastic gradient descent(SGD)models,and the best ML model was screened.RUSS and modified S.T.O.N.E scores were evaluated based on pre-RIRS CT for predicting SFR of urinary calculi after RIRS.A combined model was then constructed with the independent predictors and the best ML model.The predictive efficacy of each model and scoring system were assessed.Results The number of stones,CT value and volume of the maximum stone were all independent predictors of SFR after RIRS(all P＜0.05).The area under the curve(AUC)of SVM model constructed with images preprocessed by method b was the highest(0.861),higher than that of the total scores of RUSS and modified S.T.O.N.E(AUC=0.750,0.759,both P＜0.05)but not different from that of combined model(AUC=0.853,P=0.775).Conclusion Radiomics SVM model based on max-min normalization preprocessed CT could effectively predict SFR of urinary calculi after RIRS.