Objective: To explore the diagnosis, treatment and prognosis of primary prostatic signet ring cell carcinoma (SRCC), so as to provide reference for the clinical diagnosis and treatment. Methods: A retrospective analysis was conducted on the clinical data of 6 patients with primary prostatic SRCC treated in Nanjing Drum Tower Hospital during Nov.2020 and Sep.2024.The clinical manifestations, imaging features, treatment methods, histological characteristics and prognosis were summarized. Results: The average age of the patients was (72.00±4.28) years.Varying degrees of dysuria occurred in 4 patients. All patients underwent multi-parametric magnetic resonance imaging (mpMRI) examination before surgery, and the results indicated typical prostate cancer.Preoperative biopsies showed high-grade (Gleason 8-10) prostate acinar adenocarcinoma.Postoperative pathological diagnoses were mixed types of prostate acinar adenocarcinoma and SRCC, and no metastasis was found in the pelvic lymph nodes.All patients were followed up for 1 to 46 months after surgery and are currently alive.Robot-assisted laparoscopic radical prostatectomy only was performed in 3 cases; apalutamide and leuprolide/triptorelin was administered after surgery in 2 cases; bicalutamide + goserelin was administered after surgery in 1 case, who developed bladder metastasis of prostate cancer 24 months later, and the serum prostate-specific antigen (PSA) concentration decreased to a safe level (<0.2 ng/mL) after the use of darolutamide with radiotherapy.No recurrence or metastasis was found in the remaining patients. Conclusion: Primary prostatic SRCC is a rare and highly aggressive malignant tumor of the prostate.The diagnosis depends on pathological examinations due to lack of specific imaging features and clinical manifestations.The prognosis is poor, and there is currently no standardized treatment.The combined use of surgery, hormonotherapy and radiotherapy can help improve the survival rate of patients.

Objective: To analyze the epidemiological characteristics and changing trends of non suicidal self injury (NSSI) behaviors among middle school students in Jiading District of Shanghai, from 2015 to 2023, so as to provide a basis for the development of NSSI prevention and control measures among students. Methods: Using a stratified cluster random sampling method, a total of five times for Shanghai Adolescent Health Risk Behavior Surveys were conducted for every two years in Jiading District of Shanghai from 2015 to 2023. A total of 5 231 middle school students from junior high schools and senior high schools were selected for questionnaire surveys. Intergroup comparisons were performed using the x 2 test or the χ 2 trend test, and the JointPoint 5.0 software was used to analyze the changing trends, with the annual percent change (APC) used for evaluation. A binary Logistic regression model was employed to analyze the related factors of NSSI behavior among middle school students. Results: In 2023, the reported NSSI rate among middle school students in Jiading District was 14.2%. The rate was significantly higher among junior high school students (17.1%) than that among senior high school students (11.1%), and higher among females (19.2%) than that among males (10.0%) ( χ 2=10.04, 23.21, both P <0.01). From 2015 to 2023, the overall reported NSSI rate showed an increasing trend, rising from 8.6% in 2015 to 14.2% in 2023 ( χ 2 trend =22.25), with an APC of 6.64% ( t =3.49), and the APC for girls was 9.79 % ( t =3.20) (all P <0.05). Among students reporting NSSI, the proportion experiencing ≥6 episodes increased from 10.8% in 2015 to 19.2% in 2023 ( χ 2 trend =6.57, P <0.05). Multivariate Logistic regression analysis indicated that girls, junior high school students, those with insomnia, depressive emotion and drinkers had higher risks of NSSI, compared to boys, senior high school students, those without insomnia, non depressive emotion students and non drinkers ( OR =1.71, 1.96, 3.44, 4.76, 1.77, all P < 0.05 ). Conclusions The reported rate of NSSI among middle school students in Jiading District of Shanghai, increased annually from 2015 to 2023, and the proportion of repeated NSSI also showed an upward trend. Early intervention measures targeting middle school students, especially junior high school students and females, should be implemented to prevent and control its occurrence and development.

Objective:To investigate the efficacy and safety of percutaneous trans-hepatic choledochoscopic lithotripsy (PTCSL) in the treatment of recurrent hepatobiliary calculi under enhanced recovery after surgery (ERAS) mode.Methods:Clinical data of 88 patients with recurrent hepatobiliary calculi, who were treated with PTCSL at Zhengzhou Central Hospital Affiliated to Zhengzhou University and the First Affiliated Hospital of Xi'an Jiaotong University between June 2022 and June 2024 were retrospectively analyzed, including 34 males and 54 females, aged (52.0±13.8) years. The scheme includes preoperative education, prophylactic antibiotic application, ensuring the quality of surgery, early postoperative feeding and activity, etc. The operation can be divided into two fashions: percutaneous transhepatic cholangial drainage and PTCSL, which can be completed in one stage (one-stage expansion method) or in two stages (staged expansion method). Clinical data such as gender, age, operative time, intraoperative blood loss, residual stone, and surgical complications were recorded.Results:All 88 patients underwent PTCSL under ERAS mode successfully, including 52 cases using one-stage expansion method and 36 cases using staged expansion method. The operative time was (53±20) min, the intraoperative blood loss was (9.7±3.8) ml, the postoperative hospital stay was (3.6±1.7) d, and the hospitalization cost was (17 500±4 700) yuan. Sixty-nine patients (78.4%, 69/88) had one-time stone removal in the first PTCSL. A total of 19 cases of residual stones were managed again by percutaneous sinus soft choledochoscopy, of which 12 cases were managed by one-time choledochoscopy, five cases by two-time choledochoscopy, and two cases by three-time choledochoscopy. The rate of residual stone was significantly higher in one-stage expansion method compared to staged expansion method [28.8% (15/52) vs. 11.1% (4/36), P=0.040]. No death, conversion to open surgery, or severe complications such as intra-abdominal hemorrhage or bile leakage occurred in the patients. No residual stones or recurrence were found during the follow-ups of (7.5±2.1) months after discharge. Conclusion:PTCSL under ERAS mode is safe and effective in the treatment of recurrent hepatobiliary calculi.

Objective Investigate the expression level of discs large homolog associated protein 5(DLGAP5)in oral squamous cell carcinoma(OSCC)and analyze its effects on cell proliferation,migration,invasion capacity,and the Warburg effect.Methods Bioinformatics analysis was performed to identify the potential therapeutic targets for OSCC.A total of 72 OSCC tissue samples and 40 adjacent non-cancerous tissue samples collected in the First Affiliated Hospital of Shihezi University from 2013 to 2024 were included,and the clinical pathological and prognostic data were collected from patients.Immunohistochemistry assay was applied to detect the protein expression of DLGAP5,and its association with clinical pathological features was analyzed.Kaplan-Meier survival curve was plotted for survival analysis,and Cox regression model was employed to analyze the prognostic factors.The expression of DLGAP5 at mRNA and protein levels was detected in HOK,SCC-9,SCC-15,SCC-25,and CAL-27 cell lines with RT-qPCR and Western blotting,respectively.Four small interfering RNAs(siRNAs)were designed to target the DLGAP5 sequence,and then based on the transfection efficiency,the sequence with optimal silencing effect was selected for subsequent functional studies.After DLGAP5 was silenced in the CAL-27 and SCC-15 cells,Western blotting was applied to detect the expression of hexokinase 2(HK2)and enolase 1(ENO1),CCK-8,scratch healing and Transwell assays were conducted to assess cell proliferation,migration,and invasion capabilities,and glucose,lactate,and ATP detection kits were utilized to determine the glycolytic metabolic levels in OSCC cells.Results Bioinformatics analysis indicates that DLGAP5 is a potential key therapeutic target for OSCC.Experimental validation demonstrated that DLGAP5 was highly expressed in both OSCC tissues and cells(P<0.05).Analysis of clinical pathology and prognostic data revealed that DLGAP5 expression level was significantly correlated with tumor TNM stage,lymph node metastasis,and differentiation grade in OSCC patients,and high DLGAP5 expression was associated with poor prognosis(P<0.05).DLGAP5 silencing resulted in significantly reduced expression of HK2 and ENO1,markedly decreased levels of glycolytic metabolites(P<0.05),and notably declined cell proliferation,migration,and invasion capabilities(P<0.05).Conclusion DLGAP5 is highly expressed in OSCC.Silencing DLGAP5 may inhibit OSCC cell proliferation,migration,and invasion by indirectly regulating the Warburg effect,and the molecule is associated with poor prognosis in the OSCC patients.

Objective: To investigate the epidemiological and spatio-temporal characteristics of influenza in Jiaxing City, Zhejiang Province, so as to provide insights into perfecting the prevention and control strategies of influenza. Methods: Data of influenza in Jiaxing City from 2019 to 2023 were collected from the Chinese Disease Prevention and Control Information System. Population data of the same period were collected from the Zhejiang Health Information Network Reporting System. The epidemiological characteristics of influenza were analyzed using descriptive analysis. Vector map information was collected from the Open Street Map, and the spatio-temporal clustering characteristics of influenza were analyzed using spatial autocorrelation and spatio-temporal scanning. Results: A total of 181 501 cases of influenza were reported in Jiaxing City from 2019 to 2023, with an average annual reported incidence of 653.93/105. The majority of cases were aged 5 to <15 years (59 785 cases, 32.94%). The majority of the occupations were students (78 239 cases, 43.11%) and pre-school children (33 715 cases, 18.58%). The county (city, district) with the highest reported incidence was Haining City (1 451.70/105), and the town (street) with the highest reported incidence was Chang'an Town (1 932.78/105). Spatial autocorrelation analysis showed that the incidence of influenza in Jiaxing City from 2019 to 2023 had positive spatial correlations (all Moran's I>0, all P<0.05), with a high-high clustering in the southern region. Spatio-temporal scanning analysis showed that there was a spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with the southern region being the primary-type clustering area and the period between November and January of the following year being the clustering time. Conclusion There was a significant spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with winter being the peak season and the southern region being the primary area.

Objective To explore the effect of exenatide on oxidative stress in the hypothalamus of diabetes mice and its potential mechanism.Methods After one week of adaptive feeding,C57BL/6J mice were randomly divided into the CON group(normal chaw diet),the T2DM group(high-fat diet,HFD),and the T2DM+Exe group(HFD+exenatide).After 8 weeks of HFD,mice in the T2DM+Exe group were intraperitoneally injected with exenatide[24 nmol/(kg·d)]for 8 weeks.The weight and glucose and lipid metabolism levels of the mice were measured,and the levels of inflammatory and adipokine factors in mice were detected using the ELISA method.Western Blot was used to detect the expression of melanocortin receptor-4(MC4R)and proopiomelanocor-tin(POMC)in the hypothalamus.Hypothalamic mitochondria were extracted,and the content of mitochondrial reactive oxygen species(ROS)was measured using a flow cytometer.The content of malondialdehyde(MDA)and the activities of superoxide dismutase(SOD)in the mitochondria were detected using assay kits.Changes in the ultrastructure of mitochondria were observed using a transmission electron microscope.In vitro experiments,pal-mitic acid(PA)and exenatide were used to treat hypothalamic GT1-7 cells,and short hairpin RNA(shRNA)was used to silence the melanocortin 4 receptor(MC4R),and observe the cellular oxidative stress and lipid deposition.Results Compared with the CON group,the T2DM group mice showed a significant increase in glucose and lipid metabolism indicators,pro-inflammatory factors,and adipose factor levels(P<0.05),the expression of MC4R and POMC proteins in the hypothalamus were decreased(P<0.05),and the mitochondrial ROS and MDA content in the hypothalamus significantly were increased(P<0.05),while SOD and CAT activities were decreased(P<0.05).Mitochondrial morphology was abnormal.After intervention with exenatide,the above indicators were signifi-cantly improved.After inhibiting MC4R expression in vitro experiments,compared with the intervention group with exenatide,the ROS and MDA content was significantly increased(P<0.05),SOD activity was decreased(P<0.05),and lipid deposition occurred in the cells.Conclusions Exenatide exhibits a protective effect on hypotha-lamic oxidative stress injury in diabetic mice,and this mechanism may be associated with the upregulation of MC4R expression.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective:To investigate the efficacy and safety of percutaneous trans-hepatic choledochoscopic lithotripsy (PTCSL) in the treatment of recurrent hepatobiliary calculi under enhanced recovery after surgery (ERAS) mode.Methods:Clinical data of 88 patients with recurrent hepatobiliary calculi, who were treated with PTCSL at Zhengzhou Central Hospital Affiliated to Zhengzhou University and the First Affiliated Hospital of Xi'an Jiaotong University between June 2022 and June 2024 were retrospectively analyzed, including 34 males and 54 females, aged (52.0±13.8) years. The scheme includes preoperative education, prophylactic antibiotic application, ensuring the quality of surgery, early postoperative feeding and activity, etc. The operation can be divided into two fashions: percutaneous transhepatic cholangial drainage and PTCSL, which can be completed in one stage (one-stage expansion method) or in two stages (staged expansion method). Clinical data such as gender, age, operative time, intraoperative blood loss, residual stone, and surgical complications were recorded.Results:All 88 patients underwent PTCSL under ERAS mode successfully, including 52 cases using one-stage expansion method and 36 cases using staged expansion method. The operative time was (53±20) min, the intraoperative blood loss was (9.7±3.8) ml, the postoperative hospital stay was (3.6±1.7) d, and the hospitalization cost was (17 500±4 700) yuan. Sixty-nine patients (78.4%, 69/88) had one-time stone removal in the first PTCSL. A total of 19 cases of residual stones were managed again by percutaneous sinus soft choledochoscopy, of which 12 cases were managed by one-time choledochoscopy, five cases by two-time choledochoscopy, and two cases by three-time choledochoscopy. The rate of residual stone was significantly higher in one-stage expansion method compared to staged expansion method [28.8% (15/52) vs. 11.1% (4/36), P=0.040]. No death, conversion to open surgery, or severe complications such as intra-abdominal hemorrhage or bile leakage occurred in the patients. No residual stones or recurrence were found during the follow-ups of (7.5±2.1) months after discharge. Conclusion:PTCSL under ERAS mode is safe and effective in the treatment of recurrent hepatobiliary calculi.

Objective To explore the effect of exenatide on oxidative stress in the hypothalamus of diabetes mice and its potential mechanism.Methods After one week of adaptive feeding,C57BL/6J mice were randomly divided into the CON group(normal chaw diet),the T2DM group(high-fat diet,HFD),and the T2DM+Exe group(HFD+exenatide).After 8 weeks of HFD,mice in the T2DM+Exe group were intraperitoneally injected with exenatide[24 nmol/(kg·d)]for 8 weeks.The weight and glucose and lipid metabolism levels of the mice were measured,and the levels of inflammatory and adipokine factors in mice were detected using the ELISA method.Western Blot was used to detect the expression of melanocortin receptor-4(MC4R)and proopiomelanocor-tin(POMC)in the hypothalamus.Hypothalamic mitochondria were extracted,and the content of mitochondrial reactive oxygen species(ROS)was measured using a flow cytometer.The content of malondialdehyde(MDA)and the activities of superoxide dismutase(SOD)in the mitochondria were detected using assay kits.Changes in the ultrastructure of mitochondria were observed using a transmission electron microscope.In vitro experiments,pal-mitic acid(PA)and exenatide were used to treat hypothalamic GT1-7 cells,and short hairpin RNA(shRNA)was used to silence the melanocortin 4 receptor(MC4R),and observe the cellular oxidative stress and lipid deposition.Results Compared with the CON group,the T2DM group mice showed a significant increase in glucose and lipid metabolism indicators,pro-inflammatory factors,and adipose factor levels(P<0.05),the expression of MC4R and POMC proteins in the hypothalamus were decreased(P<0.05),and the mitochondrial ROS and MDA content in the hypothalamus significantly were increased(P<0.05),while SOD and CAT activities were decreased(P<0.05).Mitochondrial morphology was abnormal.After intervention with exenatide,the above indicators were signifi-cantly improved.After inhibiting MC4R expression in vitro experiments,compared with the intervention group with exenatide,the ROS and MDA content was significantly increased(P<0.05),SOD activity was decreased(P<0.05),and lipid deposition occurred in the cells.Conclusions Exenatide exhibits a protective effect on hypotha-lamic oxidative stress injury in diabetic mice,and this mechanism may be associated with the upregulation of MC4R expression.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.