ObjectiveTo investigate the inhibitory effect of gingerol， an active component of ginger， on Staphylococcus aureus （S. aureus） infection， and to preliminarily explore its mechanism related to extracellular vesicles （EVs）. MethodsS.aureus infection models were established in human umbilical vein endothelial cell （HUVECs）， Vero E6 cells， and C57BL/6 mice. Experimental groups included control， infection， and gingerol-treated groups. Bacterial load and VE-cadherin protein expression were detected using immunofluorescence and Western blot. EVs were isolated by size exclusion chromatography and characterized by transmission electron microscopy and nanoparticle tracking analysis. miRNA sequencing was performed on EVs. ResultsGingerol treatment significantly reduced the bacterial load in both in vitro and in vivo infection models and upregulated VE-cadherin expression. miRNA sequencing of EVs revealed that S. aureus infection upregulated the expression of hsa-miR-320c， while gingerol treatment reversed this abnormal expression. Bioinformatic analysis further predicted that the target genes of hsa-miR-320c were significantly enriched in cell junction-related pathways. ConclusionGingerol exhibits clear antibacterial and host-protective effects， by regulating hsa-miR-320c in EVs to maintain endothelial barrier integrity.

To address the scarcity of annotated data for pediatric abdominal CT imaging and the insufficient generalization capability of existing models, we constructed a self-supervised pretraining architecture tailored for pediatric CT domain adaptation based on the visual foundation model DINOv3, and validated its performance in the task of pediatric abdominal multi-organ segmentation.

Quality control (QC) of biospecimens from oral and maxillofacial tumors patients constitutes a critical foundation for the prevention, diagnosis, treatment, and precision medicine research of these diseases. Biospecimen quality directly governs the discovery and validation of disease biomarkers, the elucidation of pathogenesis, and the efficacy of clinical translation. QC spans the entire biospecimen lifecycle—encompassing collection, processing, storage, transportation, and utilization. Its primary objectives are to ensure sample integrity, reliability, traceability, and consistency, thereby guaranteeing the robustness of research data; the accuracy of molecular subtyping, biomarker identification, and treatment response prediction; and the precision of clinical decision-making. However, current QC frameworks for these biospecimens remain underdeveloped. Drawing on domestic and international technical standards, regulatory guidelines, and recent research advances, this paper elaborates on the importance of implementing a QC management system throughout the biospecimen lifecycle. It focuses on QC methodologies tailored to diverse biospecimen types, examining how standardized sampling procedures, regulated preprocessing workflows, and optimized long-term storage conditions influence sample quality. We aim to provide concrete guidance and a transferable paradigm for establishing standardized QC protocols and an informatics-enabled traceability system specific to oral and maxillofacial tumors. Such efforts are intended to enhance the research value and clinical utility of these biospecimens, furnishing reliable sample resources and technical support for the development of precision diagnostics and therapeutics. Furthermore, we advocate for a dual-track “QC plus Ethics” management framework within biobanks. This approach would reinforce ethical and legal safeguards, establishing a robust barrier to support safe scientific innovation and clinical translation.

ObjectiveTo explore the therapeutic effect and mechanism of Huangqi Xiayuxue decoction against hepatocellular carcinoma based on network pharmacology， animal experiments， and cell experiments. MethodsThe active ingredients and corresponding targets of Huangqi Xiayuxue decoction were screened via databases including the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）. Hepatocellular carcinoma-related targets were retrieved from the GeneCards database. The common targets shared by Huangqi Xiayuxue decoction and hepatocellular carcinoma were subjected to Gene Ontology （GO） functional annotation and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses. Huangqi Xiayuxue decoction-containing plasma was prepared. The cell counting kit-8 （CCK-8） assay was adopted to observe the effects of different volume fractions （5%， 10%， 15%， and 20%） of Huangqi Xiayuxue decoction-containing plasma on the proliferation of HepG2， MHCC-97H， Hepa1-6， and Huh-7 cells， and the concentration for subsequent experiments was determined. Flow cytometry was adopted to detect the effects of Huangqi Xiayuxue decoction-containing plasma （5%， 10%， 15%， and 20%） on the apoptosis of MHCC-97H cells. A mouse model of subcutaneous xenograft hepatocellular carcinoma was established. The model mice were assigned into low-， medium-， and high-dose （4.63， 9.25， 18.5 g·kg^-1） Huangqi Xiayuxue decoction and sorafenib （20 mg·kg^-1） groups. Body mass and tumor volume of mice were dynamically monitored during the intervention period. After 3 weeks of intervention， hematoxylin-eosin （HE） staining was performed to observe tumor morphology. Terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） assay was employed to detect cell apoptosis. Immunohistochemistry （IHC） was adopted to examine the expression of cysteinyl aspartate-specific proteinase-3 （Caspase-3）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax） in the tumor tissue. Real-time PCR and Western blot were employed to verify the changes in apoptosis-related factors and the phosphatidylinositol 3-kinase/protein kinase B/forkhead box O1 （PI3K/Akt/FoxO1） signaling pathway. ResultsA total of 220 common targets shared by Huangqi Xiayuxue decoction and hepatocellular carcinoma were screened out by network pharmacology， among which tumor protein p53 （TP53）， Akt1， and signal transducer and activator of transcription 3 （STAT3） were the core targets. Pathway enrichment analysis indicated that the common targets were involved in cell apoptosis and proliferation， as well as the PI3K/Akt and FoxO signaling pathways. Cell experiments showed that compared with the blank plasma group， all volume fractions of Huangqi Xiayuxue decoction-containing plasma inhibited the proliferation of HepG2， MHCC-97H， Hepa1-6， and Huh-7 cells （P<0.01）. The proportion of early apoptotic cells in MHCC-97H cells was increased after treatment with different volume fractions of Huangqi Xiayuxue decoction-containing plasma （P<0.01）. Animal experiments revealed that Huangqi Xiayuxue decoction inhibited the growth of tumor volume， promoted tumor cell apoptosis in the high-dose group， up-regulated the protein and mRNA levels of Bax and Caspase-3， down-regulated the protein and mRNA levels of Bcl-2， and reduced the phosphorylation level of the PI3K/Akt/FoxO1 signaling pathway （P<0.05， P<0.01）. ConclusionHuangqi Xiayuxue decoction exerts anti-hepatocellular carcinoma effects by inhibiting the activation of the PI3K/Akt/FoxO1 signaling pathway and promoting hepatocellular carcinoma cell apoptosis.

ObjectiveTo explore the therapeutic effect and mechanism of Huangqi Xiayuxue decoction against hepatocellular carcinoma based on network pharmacology， animal experiments， and cell experiments. MethodsThe active ingredients and corresponding targets of Huangqi Xiayuxue decoction were screened via databases including the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）. Hepatocellular carcinoma-related targets were retrieved from the GeneCards database. The common targets shared by Huangqi Xiayuxue decoction and hepatocellular carcinoma were subjected to Gene Ontology （GO） functional annotation and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses. Huangqi Xiayuxue decoction-containing plasma was prepared. The cell counting kit-8 （CCK-8） assay was adopted to observe the effects of different volume fractions （5%， 10%， 15%， and 20%） of Huangqi Xiayuxue decoction-containing plasma on the proliferation of HepG2， MHCC-97H， Hepa1-6， and Huh-7 cells， and the concentration for subsequent experiments was determined. Flow cytometry was adopted to detect the effects of Huangqi Xiayuxue decoction-containing plasma （5%， 10%， 15%， and 20%） on the apoptosis of MHCC-97H cells. A mouse model of subcutaneous xenograft hepatocellular carcinoma was established. The model mice were assigned into low-， medium-， and high-dose （4.63， 9.25， 18.5 g·kg^-1） Huangqi Xiayuxue decoction and sorafenib （20 mg·kg^-1） groups. Body mass and tumor volume of mice were dynamically monitored during the intervention period. After 3 weeks of intervention， hematoxylin-eosin （HE） staining was performed to observe tumor morphology. Terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） assay was employed to detect cell apoptosis. Immunohistochemistry （IHC） was adopted to examine the expression of cysteinyl aspartate-specific proteinase-3 （Caspase-3）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax） in the tumor tissue. Real-time PCR and Western blot were employed to verify the changes in apoptosis-related factors and the phosphatidylinositol 3-kinase/protein kinase B/forkhead box O1 （PI3K/Akt/FoxO1） signaling pathway. ResultsA total of 220 common targets shared by Huangqi Xiayuxue decoction and hepatocellular carcinoma were screened out by network pharmacology， among which tumor protein p53 （TP53）， Akt1， and signal transducer and activator of transcription 3 （STAT3） were the core targets. Pathway enrichment analysis indicated that the common targets were involved in cell apoptosis and proliferation， as well as the PI3K/Akt and FoxO signaling pathways. Cell experiments showed that compared with the blank plasma group， all volume fractions of Huangqi Xiayuxue decoction-containing plasma inhibited the proliferation of HepG2， MHCC-97H， Hepa1-6， and Huh-7 cells （P<0.01）. The proportion of early apoptotic cells in MHCC-97H cells was increased after treatment with different volume fractions of Huangqi Xiayuxue decoction-containing plasma （P<0.01）. Animal experiments revealed that Huangqi Xiayuxue decoction inhibited the growth of tumor volume， promoted tumor cell apoptosis in the high-dose group， up-regulated the protein and mRNA levels of Bax and Caspase-3， down-regulated the protein and mRNA levels of Bcl-2， and reduced the phosphorylation level of the PI3K/Akt/FoxO1 signaling pathway （P<0.05， P<0.01）. ConclusionHuangqi Xiayuxue decoction exerts anti-hepatocellular carcinoma effects by inhibiting the activation of the PI3K/Akt/FoxO1 signaling pathway and promoting hepatocellular carcinoma cell apoptosis.

This study is to explore the antibiofilm activity of tirapazamine(TPZ)against Salmonella and the mechanism of inhibiting biofilm formation.In this study,crystal violet staining was used to determine the effect of TPZ on the minimal biofilm inhibitory concentration(MBIC)of Salmonel-la and on the development stage of Salmonella biofilm.The effects of TPZ on bacteria and biofilm of Salmonella were observed by scanning electron microscope and fluorescence microscope.Phe-nol-sulfuric acid method,spectrophotometer and BCA method were used to detect the effects of the bacteria on the content of main extracellular matrix of Salmonella.The autocoagulation and hydro-phobicity of Salmonella were measured and their effects on the cell wall of Salmonella were meas-ured by AKP method.The result showed that the MBIC value of TPZ on Salmonella ATCC 14028 was 1.563 μmol/L,it had destructive effects on both Salmonella bacteria and mature biofilm structure,it inhibited the formation of early Salmonella biofilm in a concentration-dependent manner,and inhibited the synthesis and secretion of extracellular polymers in Salmonella biofilm.The autoagglutination ability,hydrophobicity and cell wall integrity of Salmonella were affected.To sum up,the TPZ may inhibit the formation of a large number of Salmonella biofilms in the early stage of biofilm development by affecting the extracellular polymer and cell agglutination a-bility,which is expected to be a potential candidate drug against biofilm infection and provide a new idea for finding alternative antibiotics.

Objective:To investigate the efficacy and safety of high-frequency irreversible electroporation (H-FIRE) in treating benign prostatic hyperplasia (BPH).Methods:This randomized controlled open-label multicenter clinical trial enrolled patients from nine medical centers in China between August 2020 and July 2022. Inclusion criteria: age 50–80 years, International Prostate Symptom Score (IPSS) ≥12, maximum urinary flow rate (Q max) >5 ml/min and ≤15 ml/min. Exclusion criteria: prostate malignancy, contraindications to surgery or anesthesia. Patients were randomized 1∶1 into the H-FIRE group (experimental) or the control group (daily oral 0.2 mg tamsulosin hydrochloride sustained-release capsules). Primary outcomes included Q max, IPSS, prostate volume, and International Index of Erectile Function-5 (IIEF-5) scores, measured at baseline, 1 and 3 months post-treatment. Results:A total of 160 cases were included in this study, including 80 cases in the experimental group and 80 cases in the control group, 30 cases in Renji Hospital, 7 cases in Qilu Hospital of Shandong University, 8 cases in Tongji Hospital, 3 cases in Hunan Provincial Hospital, 13 cases in Shanghai Pudong Hospital, 29 cases in Hwa Mei Hospital, 18 cases in Yiyuan County People's Hospital, and 38 cases in Shanghai East Hospital, and 14 cases in Sun Yat-sen Memorial Hospital. At 3 months of post-treatment, Q max in the experimental group increased by a median of 7.50 (3.55, 14.50) ml/s from the baseline value, whereas in the control group it increased by a median of 1.70 (-1.40, 6.00) ml/s, and the difference between the two groups was statistically significant ( P < 0.01, U = 1 083); and at 3 months of post-treatment, IPSS in the experimental group decreased by a median of 12.00 (7.00, 17.00) points in the test group and 6.00 (2.00, 11.00) points in the control group, and the magnitude of improvement in IPSS scores in the test group was significantly higher than that in the control group ( P < 0.01, U = 1 248); at 3 months of post-treatment, the prostate volume decreased by a median of 12.16 (5.69, 18.27) ml in the experimental group and 0 (-3.94, 6.89) ml in the control group, suggesting that H-FIRE significantly reduced prostate gland volume ( P<0.01, U=1 111). The difference in elevated IIEF-5 scores from baseline at 3 months of treatment between the experimental and control groups was not statistically significant[0(-2.00, 1.00) points vs. 0(-2.00, 1.50) points; P=0.54, U=2 338]. There were no serious adverse events in the two groups. Conclusions:H-FIRE could significantly improve both subjective and objective symptoms of BPH with a low risk of severe complications.

Objective:To explore the effect of 3D printing extravascular stent implantation on the hemodynamics of the relevant large vessels in patients with nutcracker syndrome（NCS），and to discuss the clinical safety of this new procedure.Methods:A total of 30 NCS patients admitted to Tangdu Hospital Affiliated to Air Force Military Medical University from May to December 2023 were prospectively included. All the patients were received laparoscopic 3D printing extravascular stent implantation for NCS treatment. Whether the lumbago，abdominal pain，hematuria，proteinuria and varicocele had improved after the stent implantation were observed. The inner diameter，blood flow velocity of left renal vein，abdominal aorta，superior mesenteric artery and the diameter of inferior vena cava were measured by ultrasound 1 day before surgery and 8 days after surgery，respectively.In addition，the carotid-femoral pulse wave velocity（cfPWV）was measured by a newly developed method，by which the arterial stiffness could be detected based on Doppler ultrasound. The blood flow Doppler spectra of each subject were recorded at the right common carotid artery and the right common femoral artery，respectively，then based on that，the cfPWV was automatically calculated by this new technique. The above internal diameters，blood flow velocity and cfPWV were compared before and after the laparoscopic 3D printing extravascular stent implantation.Results:Among the 30 patients，the postoperative blood flow velocity at the left renal vein compression site was significantly lower than that before surgery［（50.7 ± 14.8）cm/s vs（122.1 ± 24.1）cm/s， P<0.001）］，and the clinical symptoms，including lumbago and abdominal pain，hematuria，proteinuria and varicocele were significantly improved（all P<0.05）. There were no significant changes in the internal diameter，blood flow velocity of abdominal aorta，superior mesenteric artery and the diameter of inferior vena cava，and cfPWV before and after operation（all P>0.05）. Conclusions:The 3D printing extravascular stent implantation through laparoscope can effectively improve left renal vein compression in patients with NCS，and cause no significant change in large arterial hemodynamics，suggesting that this surgical method is a safe and reliable treatment for patients with NCS.

Objective:To explore the clinical application value of convolutional neural network（CNN）based on deep learning in the automatic measurement of dynamic pelvic floor ultrasound video parameters and the diagnosis and classification of cystocele.Methods:A retrospective analysis was conducted on dynamic pelvic floor ultrasound videos from 398 postpartum women who underwent examinations at the First People's Hospital of Foshan between June 2020 and June 2022. The lowest point of the posterior bladder wall（PWB），urethral rotation angle（URA），and retrovesical angle（RVA）were manually measured by a senior radiologist（R1）and a junior radiologist（R2），and cystocele was classified according to the Green standard. The CNN model was employed to automatically extract the above parameters and to diagnose and classify cystocele. Using R1 measurements as a reference，intraclass correlation coefficient（ICC）was used to evaluate the consistency between the CNN model and R1，as well as between R2 and R1. The Kappa value was used to assess the agreement between the CNN model，R2，and R1 in the diagnosis and classification of cystocele. Additionally，the time consumption of the three measurement methods was compared.Results:The CNN model showed good consistency with R1 in measuring PWB and URA（ICC = 0.983，0.894），while its consistency in measuring RVA was moderate（ICC = 0.614）. The ICC between R2 and R1 in measuring PWB，URA，and RVA was 0.979，0.815，and 0.627，respectively. In the measurement of PWB and URA，the consistency between the CNN model and R1 was superior to that between R2 and R1. For cystocele diagnosis，the Kappa value between the CNN model and R1 was 0.924，which was higher than that between R2 and R1（0.904）. In cystocele classification，the Kappa value between the CNN model and R1 was 0.503，also higher than that between R2 and R1（0.426）. The CNN model processed a single video in 2.5（0.6）s，significantly faster than R1［59.9（16.9）s］and R2［56.8（11.2）s］（all P < 0.001）. Conclusions:The CNN model demonstrates high accuracy and efficiency in the measurement，diagnosis，and classification of cystocele，outperforming a junior radiologist and showing potential for clinical application.

Objective:To explore the feasibility of selecting appropriate respiratory motion management strategies for patients undergoing stereotactic radiotherapy for liver cancer using chi-square feature testing and machine learning techniques.Methods:A retrospective analysis was conducted on 95 liver cancer patients who underwent respiratory motion evaluation at Xiangya Hospital of Central South University between March 2022 and August 2024. Chi-square testing was used to screen features related to respiratory motion evaluation in liver cancer patients. Based on these features, predictive models were constructed using 4 machine learning classification algorithms: support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), and adaptive boosting (AdaBoost). The predictive performance of these models was evaluated using accuracy, sensitivity, specificity, F1 value, and area under the curve (AUC).Results:The accuracy values for the SVM, RF, GBDT and AdaBoost models were 0.75, 0.75, 0.70, and 0.82, respectively. The sensitivity values were 0.82, 0.82, 0.64, and 0.82, respectively. The specificity values were 0.63, 0.63, 0.63, and 0.75, respectively. The F1 scores were 0.78, 0.78, 0.67, and 0.82, respectively. The AUC values were 0.85, 0.80, 0.76, and 0.85, respectively.Conclusions:The predictive models constructed by combining chi-square feature testing and machine learning methods can effectively predict the selection of respiratory motion management strategies. Among the models, the AdaBoost model demonstrated the best predictive performance for selecting respiratory motion management strategies.