ObjectiveTo investigate the mechanism by which Jianpi Xiao'ai prescription （JPXAP） inhibits colorectal cancer progression by regulating the inducible nitric oxide synthase-arginase 1 （iNOS-ARG1） metabolic axis and inducing mitochondrial reactive oxygen species （mito-ROS）-mediated mitochondrial structural and functional impairment. MethodsAn arginine metabolism disorder model of human colorectal cancer HCT116 cells was established by combined treatment with recombinant human interferon-γ （IFN-γ， 10 μg·L^-1） and N（ω）-hydroxy-L-arginine （Nor-NOHA， 200 μmol·L^-1） for 24 h， followed by intervention with 5%， 10%， or 20% JPXAP-containing serum. Cell proliferation was assessed using cell counting kit-8 （CCK-8）， 5-ethynyl-2′-deoxyuridine （EdU） staining， and colony formation assays. Cell invasion and migration were evaluated using Transwell chamber and wound healing assays. Mitochondrial membrane potential （MMP） and ROS levels were assessed by JC-1 and MitoSOX staining， respectively. Mitochondrial ultrastructure was observed by transmission electron microscopy （TEM）. The expression of iNOS， ARG1， and mitochondrial dynamics-related proteins， including mitofusin 2 （MFN2） and dynamin-related protein 1 （DRP1）， was analyzed by Western blot and immunofluorescence. The levels of L-arginine， citrulline， and urea were determined by colorimetric methods and enzyme-linked immunosorbent assay （ELISA）. ResultsCompared with the blank group， the model group exhibited significantly upregulated iNOS expression， downregulated ARG1 expression， a decreased ARG1/iNOS ratio， reduced L-arginine and urea levels， and increased citrulline levels （P<0.05）. Meanwhile， mito-ROS accumulation was significantly increased， the JC-1 red/green fluorescence ratio was decreased， and mitochondria showed swelling and cristae disruption， indicating that metabolic disorder induced mitochondrial injury. Compared with the model group， all JPXAP-treated groups further decreased the ARG1/iNOS ratio， enhanced nitric oxide （NO） and reactive nitrogen species accumulation， further reduced L-arginine and urea levels， and increased citrulline levels （P<0.01）. EdU-positive rate， colony formation rate， wound healing rate， and Transwell invasion number all decreased significantly with increasing serum concentration （P<0.01）. Mito-ROS levels were further elevated， and the JC-1 red/green ratio further decreased. TEM revealed aggravated mitochondrial swelling and vacuolization. MFN2 expression was downregulated and DRP1 expression was upregulated （P<0.01），in a dose-dependent manner. ConclusionJPXAP further activates NO-mediated oxidative/nitrosative stress under arginine metabolism imbalance， inducing mito-ROS accumulation， MMP collapse， and mitochondrial dynamics imbalance， thereby inhibiting colorectal cancer cell proliferation and migration. These findings reveal an antitumor mechanism of JPXAP based on coordinated targeting of the "metabolism-mitochondria" axis.

Objective:To investigate the clinical efficacy of extended abdominal wall resec-tion combined with reconstruction for abdominal wall aggressive fibromatosis (AF).Methods:The retrospective and descriptive study was conducted. The clinical data of 70 patients with abdominal wall AF who were admitted to 3 medical centers, including The First Affiliated Hospital of the University of Science and Technology of China, between January 2009 and July 2024 were collected. There were 6 males and 64 females, aged (36±13)years. All patients underwent extended abdominal wall resection combined with abdominal wall reconstruction. Observation indicators: (1) surgical situations; (2) tumor recurrence and postoperative complications. Comparisons of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Results:(1)Surgical situations. All 70 patients underwent extended abdominal wall resection combined with abdominal wall recons-truction. The operation time was 90(91)minutes and duration of postoperative hospital stay was 10(6)days. Of the 70 patients, 41 patients underwent abdominal wall AF resection plus polypropylene mesh abdominal wall reconstruction, with a defect area of 60(54)cm2. The mesh placement method was uniformly Sublay repair. The remaining 29 patients underwent abdominal wall AF resection plus direct suture repair, with a defect area of 34(31)cm2. There was a significant difference in the abdominal wall defect area between the two groups ( U=291.00, P<0.05). All 70 patients achieved R 0 resection. The distance from surgical margin to tumor edge was 2-3 cm in 39 cases and >3 cm in 31 cases. (2) Tumor recurrence and postoperative complications. All 70 patients were followed up for 78(90)months. During follow-up, 10 patients developed tumor recurrence (5 cases with mesh reinforced abdominal wall reconstruction and 5 cases with direct suture repair). Among them, one case was monitored, one case underwent radiotherapy, and neither received further surgical treatment. The remaining 8 patients underwent repeat R 0 resection, and no further recurrence occurred. There was no significant difference in recurrence rate between the patients with mesh reconstruction and patients with direct suture repair ( χ2=0.06, P>0.05). The postoperative recurrence rate was 9.7%(3/31) in patients with the distance from surgical margin to tumor edge >3 cm, versus 17.9%(7/39) in patients with the distance from surgical margin to tumor edge of 2-3 cm, showing no significant difference between them ( χ2=0.97, P>0.05). Sixty patients had no tumor recurrence. During follow-up, none of the 70 patients developed incisional hernia. Two patients experienced postoperative wound infection, and 6 cases developed postoperative chronic pain. Conclusion:Extended abdominal wall resection combined with reconstruction is safe and feasible for abdominal wall AF.

Patent foramen ovale(PFO)is a common congenital heart defect that has been linked to various conditions,including cryptogenic stroke,migraine with aura,and decompression sickness.With the rapid advancement of interventional cardiology,interventional treatment has become the preferred approach for PFO patients.Conventional PFO closure procedures predominantly use metallic disc occluders,which,despite their excellent surgical outcomes,come with unavoidable device-related complications.Consequently,there is an urgent need for a percutaneous PFO closure strategy that does not require the permanent implantation of an occluder,aligning with the"intervention without implantation,implantation without residue"green philosophy to address the limitations of traditional PFO occluders.Transcatheter PFO suturing represents a technique that better conforms to the anatomical and physiological requirements of PFO closure,capable of overcoming many of the device-related complications associated with conventional PFO closure,offering good safety and efficacy.This paper reviews the research advancements in transcatheter PFO suturing,aiming to provide novel perspectives for the clinical management of these conditions.

Objective:To investigate the clinical efficacy of extended abdominal wall resec-tion combined with reconstruction for abdominal wall aggressive fibromatosis (AF).Methods:The retrospective and descriptive study was conducted. The clinical data of 70 patients with abdominal wall AF who were admitted to 3 medical centers, including The First Affiliated Hospital of the University of Science and Technology of China, between January 2009 and July 2024 were collected. There were 6 males and 64 females, aged (36±13)years. All patients underwent extended abdominal wall resection combined with abdominal wall reconstruction. Observation indicators: (1) surgical situations; (2) tumor recurrence and postoperative complications. Comparisons of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Results:(1)Surgical situations. All 70 patients underwent extended abdominal wall resection combined with abdominal wall recons-truction. The operation time was 90(91)minutes and duration of postoperative hospital stay was 10(6)days. Of the 70 patients, 41 patients underwent abdominal wall AF resection plus polypropylene mesh abdominal wall reconstruction, with a defect area of 60(54)cm2. The mesh placement method was uniformly Sublay repair. The remaining 29 patients underwent abdominal wall AF resection plus direct suture repair, with a defect area of 34(31)cm2. There was a significant difference in the abdominal wall defect area between the two groups ( U=291.00, P<0.05). All 70 patients achieved R 0 resection. The distance from surgical margin to tumor edge was 2-3 cm in 39 cases and >3 cm in 31 cases. (2) Tumor recurrence and postoperative complications. All 70 patients were followed up for 78(90)months. During follow-up, 10 patients developed tumor recurrence (5 cases with mesh reinforced abdominal wall reconstruction and 5 cases with direct suture repair). Among them, one case was monitored, one case underwent radiotherapy, and neither received further surgical treatment. The remaining 8 patients underwent repeat R 0 resection, and no further recurrence occurred. There was no significant difference in recurrence rate between the patients with mesh reconstruction and patients with direct suture repair ( χ2=0.06, P>0.05). The postoperative recurrence rate was 9.7%(3/31) in patients with the distance from surgical margin to tumor edge >3 cm, versus 17.9%(7/39) in patients with the distance from surgical margin to tumor edge of 2-3 cm, showing no significant difference between them ( χ2=0.97, P>0.05). Sixty patients had no tumor recurrence. During follow-up, none of the 70 patients developed incisional hernia. Two patients experienced postoperative wound infection, and 6 cases developed postoperative chronic pain. Conclusion:Extended abdominal wall resection combined with reconstruction is safe and feasible for abdominal wall AF.

Refined operational management is crucial to enhance hospital operational efficiency and achieve sustainable and high-quality development.A large tertiary comprehensive hospital,selected as an observation subject in this study,has har-nessed the value inherent in its extensive operational data,thereby constructing a data-driven operational management framework.Through measures such as developing an operational management system,setting up an operational data hub,and optimizing re-source allocation based on data modeling,this hospital has conducted comprehensive operational analysis at the hospital,depart-ment,and project levels,established a performance management system grounded in data,and enhanced risk prevention and con-trol capabilities,investigating the refined operational management.These efforts have led to incremental improvements in hospital quality,continuous enhancements in operational efficiency,and significant increases in patient and employee satisfaction.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

To investigate body composition and associated factors in adolescents undergoing long-term regular sports training.

Aim To investigate the anti-Zika virus(ZIKV)mechanism of diterpenoid compound 9 from Euphorbia helioscopia in vitro.Methods The cytotox-icity of compound 9 was evaluated using the CCK-8 as-say.A ZIKV-infected Vero cell model was established,and the antiviral activity was assessed through RT-qPCR,plaque assay,Western blot,and immunofluores-cence.Furthermore,the mechanism of action was elu-cidated using multi-cell line validation,nanoparticle tracking analysis,cellular thermal shift assay,and mo-lecular docking.Results In Vero cells,compound 9 exhibited an EC50 of(3.95±0.15)μmol·L-1 and a CC50 of(272.12±8.56)μmol·L-1,demonstrating significantly higher antiviral efficacy than the positive control drug ribavirin(RBV).Its virus inactivation effect was time-dependent and could significantly re-duce viral load and plaque formation.Studies revealed that compound 9 altered the physicochemical properties of ZIKV particles,including reducing surface charge and increasing particle size distribution.Additionally,it significantly enhanced the thermal stability of the prM protein.Molecular docking analysis indicated that compound 9 formed a high-affinity interaction with the prM protein(binding energy:-38.52 kJ·mol-1)and stabilized its structure through hydrophobic interac-tions.Conclusion Compound 9 exerts in vitro anti-ZIKV activity by directly inactivating the virus,disrup-ting viral particle integrity,and targeting the prM pro-tein.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.