Liver transplantation is the preferred treatment for cirrhosis, end-stage liver failure, and hepatocellular carcinoma, and is also the only effective curative method. Liver ischemia-reperfusion injury (IRI) is one of the main adverse reactions of liver transplantation. During the operation, ischemia mediates the occurrence of liver IRI, promoting the cascade activation of reactive oxygen species and pro-inflammatory signals in Kupffer cells. With continued hepatocellular death during ischemia, damage-associated molecular patterns (DAMPs) accumulate and are released into systemic circulation, triggering a cytokine and chemokine storm, resulting in poor prognosis, postoperative liver failure, systemic inflammatory response syndrome (SIRS), and multiple organ dysfunction syndrome (MODS). In liver transplantation-related IRI, PANoptosis—including apoptosis, pyroptosis, necroptosis, ferroptosis, and autophagy—participates in the process, but a comprehensive review is lacking. This article systematically elaborates on the roles of different types of cell death in liver IRI and the crosstalk among these pathways. It also discusses the protective effects of inhibiting different forms of cell death, aiming to provide direction for future basic research and offer new ideas and strategies for the clinical treatment of liver IRI.

Dendrobium is the largest genus of the Orchidaceae family.The fresh and dried stems of many species of this genus have been used as Shihu(Dendrobii Caulis)in traditional Chinese medicine,it is known as the foremost of the"Nine Great Herbs of China".Ancient texts highlight its uses for"strengthening yin,enhancing essence,nourishing the five viscera,alleviating fatigue,and dispelling skin heat and prickly heat".Modern research confirms that the polysaccharides and alkaloids it contains have antiviral ef-fects,it can apply in treating immunodeficiency caused by viral infections clinically.While studies are gradually uncovering the antivi-ral mechanisms and material basis of Dendrobium,the lack of systematic analysis and organization has hindered its resource develop-ment.The paper employed CiteSpace software for bibliometric analysis of Chinese and English literature on Dendrobium.It reviewed the herbalism,material basis,and mechanisms of its antiviral properties building upon the systematic review of ancient materia medica and modern literature.Results indicate that Dendrobium can boost vital energy and resist pathogens,showing great potential in antiviral drug development.

Liver transplantation is the preferred treatment for cirrhosis, end-stage liver failure, and hepatocellular carcinoma, and is also the only effective curative method. Liver ischemia-reperfusion injury (IRI) is one of the main adverse reactions of liver transplantation. During the operation, ischemia mediates the occurrence of liver IRI, promoting the cascade activation of reactive oxygen species and pro-inflammatory signals in Kupffer cells. With continued hepatocellular death during ischemia, damage-associated molecular patterns (DAMPs) accumulate and are released into systemic circulation, triggering a cytokine and chemokine storm, resulting in poor prognosis, postoperative liver failure, systemic inflammatory response syndrome (SIRS), and multiple organ dysfunction syndrome (MODS). In liver transplantation-related IRI, PANoptosis—including apoptosis, pyroptosis, necroptosis, ferroptosis, and autophagy—participates in the process, but a comprehensive review is lacking. This article systematically elaborates on the roles of different types of cell death in liver IRI and the crosstalk among these pathways. It also discusses the protective effects of inhibiting different forms of cell death, aiming to provide direction for future basic research and offer new ideas and strategies for the clinical treatment of liver IRI.

Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.

Objective:To investigate the spatial distribution patterns of local tumor progression（LTP）after microwave ablation（MWA）for colorectal liver metastases（CRLMs）and identify high-risk progression zones.Methods:A total of 471 CRLM lesions from 246 patients treated with MWA at the Chinese PLA General Hospital between September 2009 and March 2022 were retrospectively analyzed. Three-dimensional visualized MRI image fusion technology was employed to evaluate the spatial relationship between ablation margins（AM）and LTP. The liver was partitioned into nine specific anatomical regions. Machine learning（Boruta algorithm）was used to assess the importance of these regions on LTP risk. Multivariate analysis of LTP was performed at the tumor level and at the patient level using the Cox mixed effects model and the Cox regression model，respectively.Results:LTP occurred in 115 lesions，with an LTP rate of 40.0%（80/200）in ablated lesions which were located in the high-risk progression area，and 12.9%（35/271）in low-risk progression area. Multivariate analysis identified AM < 5 mm，tumor size ≥3 cm and location in high-risk zones as independent risk factors for LTP. Notably，LTP in high-risk zones predominantly clustered around the ablation needle tip.Conclusions:Post-MWA LTP in CRLMs exhibits distinct spatial clustering，particularly at the needle tip within high-risk progression zones. These findings provide critical insights for optimizing ablation strategies and improving clinical outcomes.

Objective To assess the clinical value of a novel surgical technique—Tubeless subxiphoid uniportal video-assisted thoracoscopic surgery with percutaneous suspension technique via balance-shaped sternal elevation device in the resection of anterior mediastinal masses. Methods Patients who underwent tubeless subxiphoid uniportal video-assisted thoracoscopic surgery via balance-shaped sternal elevation device in anterior mediastinal masses process at the Department of Thoracic Surgery, West China Hospital, Sichuan University from March to April 2025 were included, and their clinical data were analyzed. Results A total of 4 patients were included, with 2 males and 2 females, aged 58-75 years. The diameter of the tumor was 2.5-3.0 cm. The operation time was 60.0-150.0 min, intraoperative blood loss was 5-10 mL, pain score on the 3rd day after surgery was 0 points, and postoperative hospital stay was 2-3 days. All patients achieved complete resection of the masses and thymus without perioperative complications. Conclusion The tubeless subxiphoid uniportal video-assisted thoracoscopic surgery with percutaneous suspension technique via balance-shaped sternal elevation device technique optimizes surgical visualization and instrument maneuverability while avoiding complications related to conventional anesthesia and tubing, thereby markedly enhancing the minimally invasive profile of anterior mediastinal masses resections. In addition to maintaining procedural safety, this approach effectively reduces postoperative pain and accelerates patient recovery, highlighting its potential for widespread clinical adoption.

Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.

Objective:To investigate the expressions of cystathionine-β-synthase(CBS)and cystathionine-γ-lyase(CSE)and their effects on the malignant biological behaviours of breast cancer cells,and to elucidate their mechanisms.Methods:The breast cancer tissue and paracancerous normal tissue from 15 cases of patients were selected,and RT-qPCR and Western blotting methods were used to detect the mRNA and protein expression levels of CBS and CSE in breast cancer tissue,paracancerous normal tissue,MCF-7 cells,and MDA-MB-231 cells.The MCF-7 cells were divided into siNC group(transfected with siNC)and siCBS group(transfected with siCBS),and the MDA-MB-231 cells were divided into ovNC group(transfected with CSE over-expression empty plasmid)and ovCSE group(transfected with CSE over-expression plasmid).CCK8 assay was used to detect the proliferation activities of breast cancer cells in various groups,Transwell assay was used to detect the numbers of migration and invasion cells in various groups,and Western blotting method was used to detect the protein expression levels of E-cadherin,N-cadherin and Vimentin proteins in the breast cancer cells in various groups.Results:Compared with paracancerous normal tissue,the expression levels of CBS and CSE mRNA and proteins in breast cancer tissue were increased(P＜0.05 or P＜0.01).Compared with MDA-MB-231 cells,the CBS mRNA expression level in the MCF-7 cells was increased(P＜0.05);compared with MCF-7 cells,the expression level of CSE protein in the MDA-MB-231 cells was decreased(P＜0.05).Compared with siNC group,the proliferation activity,the numbers of migration and invasion cells,the expression levels of N-cadherin and Vimentin proteins in the MCF-7 cells in siCBS group were significantly decreased(P＜0.05),and the expression level of E-cadherin protein was increased(P＜0.05).Compared with ovNC group,the proliferation activity,the numbers of migratoin and invasion cells,and the expression levels of N-cadherin and Vimentin proteins in the MDA-MB-231 cells in ovCSE group were increased(P＜0.05),while the expression level of E-cadherin protein was significantly decreased(P＜0.05).Conclusion:The expressions of CBS and CSE are upregulated in breast cancer tissue,and high levels of CBS and CSE promote proliferation,migration,invasion and epithelial-mesenchymal transition(EMT)of breast cancer cells.

Objective To summarize the clinical efficacy of robotic-assisted left thoracic small-incision minimally invasive direct coronary artery bypass grafting(MIDCAB).Methods A retrospective analysis was conducted on the procedures and treatment outcomes of robotic-assisted MIDCAB in the Army Medical Center of PLA from October 2016 to June 2023.Baseline clinical information,MIDCAB-related data,perioperative conditions and data during follow-up were collected and analyzed.Results There were 23 patients subjected,including 21 males and 2 females,with a mean age of 58.17±7.49 years,and a body mass index(BMI)of 23.99±3.25 kg/m2.All of them experienced angina pectoris,and 1 had a history of myocardial infarction,1 had dilated cardiomyopathy,2 patients had chronic obstructive pulmonary disease(COPD),and 10 had a history of percutaneous coronary intervention(PCI).Robotic-assisted MIDCAB procedure was successfully completed.No internal mammary artery injury or transformation of the procedure occurred in these cases,and excellent bridging vessel flow was achieved after anastomosis of the internal mammary artery to left anterior descending branch.The incision length in the left chest was 8(8,8)cm,the operation time was 380(300,465)min,the intraoperative bleeding volume was 300(100,400)mL,the length of ICU stay was 3(2,3)d,the amount of thoracic drainage was 780(525,1 040)mL,and the postoperative length from surgery to discharge was 11.17±2.38 d.No mortality was observed during or within 30 d of hospitalization,and 1 patient was readmitted due to pericardial effusion within 30 d,and was discharged after symptomatic treatment including pericardiocentesis and drainage.No deaths,major adverse cardiovascular and cerebrovascular events(MACCE),or re-revascularization occurred in all patients during outpatient and telephone follow-up.Conclusion Robotic-assisted internal mammary artery dissection is a delicate and safe technique,and coronary artery bypass grafting in minimally invasive small-incision off-pump is effective,safe and feasible,with satisfactory short-and mid-term outcomes.The technique is suitable for minimally invasive coronary artery disease surgery and is worthy of popularization and application.

OBJECTIVES: Esophageal squamous cell carcinoma (ESCC) is characterized by complex pathogenesis and poor prognosis. In recent years, epithelial-mesenchymal transition (EMT) in tumor initiation and progression has attracted increasing attention. Enhancer of zeste homolog 2 (EZH2), which is aberrantly expressed in various tumors, may be closely related to the EMT process. This study aims to examine the expression and correlation of EZH2 and EMT markers in ESCC cells and tissues, evaluate the effects of EZH2 knockdown on ESCC cell proliferation, invasion, and migration, and explore how EZH2 contributes to the malignant biological behavior of ESCC. METHODS: Bioinformatics analyses were used to assess EZH2 expression levels in ESCC. Small interfering RNA was used to knock down EZH2 in ESCC cell lines EC109 and EC9706. Cell proliferation, invasion, and migration were evaluated using cell counting kit-8 (CCK-8), wound healing, and Transwell assays. Protein and mRNA expression levels of EZH2, E-cadherin (E-cad), and vimentin (Vim) were detected by Western blotting and real time fluorogenic quantitative PCR (RT-qPCR), respectively. Immunohistochemical (IHC) staining was performed on 70 ESCC tissue samples and 40 paired adjacent normal tissues collected from the First Affiliated Hospital of Shihezi University between 2010 and 2016 to assess the expression of EZH2, E-cad, and Vim, and to analyze their associations with clinicopathological feature and patient prognosis. RESULTS: Bioinformatics analysis showed that EZH2 was highly expressed in ESCC (P<0.001), and high EZH2 expression was associated with worse prognosis (P<0.001). CCK-8, wound healing, and Transwell assays demonstrated that EZH2 knockdown significantly suppressed the proliferation, invasion, and migration of ESCC cells (P<0.001). In addition, Vim expression was significantly reduced, while E-cad expression was significantly increased at both protein and mRNA levels in EZH2-silenced cells (all P<0.05). IHC staining analysis revealed higher expression of EZH2 and Vim and lower expression of E-cad in ESCC tissues compared to adjacent normal tissues. Kaplan-Meier survival analysis showed that low expression of EZH2 and Vim and high expression of E-cad were associated with longer survival (all P<0.05). CONCLUSIONS EZH2 promotes malignant biological behavior in ESCC by mediating EMT. Elevated EZH2 expression is associated with poor prognosis in ESCC patients.
Humans ; Enhancer of Zeste Homolog 2 Protein/physiology* ; Esophageal Squamous Cell Carcinoma/pathology* ; Epithelial-Mesenchymal Transition/genetics* ; Esophageal Neoplasms/metabolism* ; Cell Proliferation ; Cell Line, Tumor ; Cell Movement ; Cadherins/genetics* ; Vimentin/genetics* ; Male ; Female ; Middle Aged ; Neoplasm Invasiveness ; Prognosis ; RNA, Small Interfering/genetics* ; Gene Expression Regulation, Neoplastic