Objective To explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. Methods Patients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1 : 1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. Results A total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.001). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. Conclusion N1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.

Objective:To explore the potential mechanism underlying IL-6 production through the TLR7 signaling pathway,which regulates Th17 cell differentiation in the context of Coxsackievirus B3(CVB3)-induced acute viral myocarditis(AVMC).Meth-ods:A total of 110 patients diagnosed with AVMC were admitted to Quanzhou First Hospital,Fujian between January 2020 and Janu-ary 2023,alongside 93 healthy volunteers.CD4+T cells were isolated from the subjects'blood,and the levels of CVB3 and the number of Th17 cells were assessed.Subsequently,CD4+T cells were infected with CVB3,and the levels of Th17 cells,IL-17,IL-21,and TNF-α were measured.After knockdown of TLR7 or treatment with TLR7 inhibitors,the differentiation of CVB3-infected CD4+T cells into Th17 cells was observed.Results:In comparison to healthy controls,AVMC patients exhibited elevated plasma levels of hsCRP,IL-17,IL-21,and TNF-α(P<0.05).The levels of CVB3 mRNA in CD4+T cells were also notably higher in AVMC patients compared to healthy controls(P<0.05).The mean viral titer in AVMC patients measured 230 PFU/ml,while no detectable virus was found in healthy volunteers(P<0.05).In CD4+T cells,the count of Th17 cells was significantly increased in AVMC patients compared to healthy volunteers(P<0.05).Moreover,the number of Th17 cells in peripheral blood CD4+T cells of AVMC patients showed a positive correlation with CVB3 virus titer(P<0.05).Following CVB3 infection,the number of Th17 cells increased compared with the control group(P<0.05),accompanied by elevated levels of IL-17,IL-21,and TNF-α in the supernatant(P<0.05).Knockdown of TLR7 and CVB3 infection in CD4+T cells significantly reduced the levels of Th17 cells(P<0.05),while the expression level of phosphorylated-activated TLR7 increased significantly after CVB3 infection of CD4+T cells compared to the control group(P<0.05).Treatment with the TLR7 inhibitor M5049 and CVB3 infection led to a significant decrease in Th17 cell levels(P<0.05).The secretion of IL-6 in CD4+T cells increased after CVB3 infection(P<0.05),and this increase was mitigated by TLR7 knockdown and CVB3 infection(P<0.05)as well as TLR7 inhibitor M5049 treatment and CVB3 infection(P<0.05).Conclusion:CVB3 activates TLR7 via phosphoryla-tion,prompting CD4+T cells to release IL-6 and undergo differentiation into Th17 cells.Consequently,TLR7 emerges as a promising therapeutic target for AVMC.

Objective To investigate the mechanism by which AGE receptor(RAGE)antagonist FPS-ZM1 inhibits AGE accumulation and promotes wound repair in rats with diabetic foot ulcer(DFU).Methods A total of 30 SD rats were divided into normal control(Con)group,sham operation group(Sham),DFU group,FPS-ZM1 treatment group(DFU+FPS-ZM1),and phosphate buffer saline treatment group(DFU+PBS),with 6 rats in each group.Masson staining was used to evaluate the wound surface structure.ELISA was used to detect the expression of AGE,TNF-α,matrix metalloproteinase 9(MMP-9),and VEGF proteins in serum and tissues,and Western blot method was used to test the expression of RAGE,VEGF receptor(VEGFR),CD31,and nuclear factor κB(NF-κB)proteins.Results Compared with the Con and Sham groups,the collagen fibers had less indigo staining,disordered arrangement and sparse distribution in DFU group.Compared with the DFU and DFU+PBS groups,the DFU+FPS-ZM1 group showed obvious blue staining of collagen fibers in the wound granulation tissue,and the number of deposition layers was relatively neat and orderly.Compared with Sham group,the expressions of AGE,TNF-α and MMP-9 proteins,NF-κB and RAGE proteins in serum and tissues were increased(P<0.05),and the expressions of VEGF protein and CD31 and VEGFR proteins in serum and tissues were decreased in DFU group(P<0.05).Compared with DFU group,the expressions of AGE,TNF-α and MMP-9 proteins,NF-κB and RAGE proteins in serum and tissues decreased(P<0.05),and the expression of VEGF protein and CD31 and VEGFR proteins in serum and tissues increased in DFU+FPS-ZM1 group(P<0.05).Compared with DFU+FPS-ZM1 group,the expressions of AGE,TNF-α and MMP-9 proteins,NF-κB and RAGE proteins in serum and tissues increased(P<0.05),and the expressions of VEGF protein,CD31 and VEGFR proteins in serum tissues decreased in DFU+PBS group(P<0.05).Conclusions The RAGE antagonist FPS-ZM1 down-regulates MMP-9 and up-regulates VEGF by inhibiting the NF-κB inflammatory signaling pathway,and promotes DFU wound healing.

Objective:To explore and practice the construction of an innovative ecosystem that integrates innovation in the National Clinical Research Center for Orthopedics and Sports Rehabilitation, providing references and insights for driving high-quality development of medical care.Methods:Guided by a national policy framework and Industry-Academia-Research-Government-Enterprise Collaborative Innovation, the Center had established six innovation platforms and three systemic pillars. The study analyzed its integrated strategy, which encompassed ecosystem design, platform-enabled empowerment, comprehensive system support, end-to-end coverage, a folded innovation approach, and a standardization-driven mechanism.Results:The Center had built a highly integrated innovation ecosystem, creating a powerful driver for technological advancement and commercialization in orthopedics and sports rehabilitation, accelerating the industrialization of key technologies like surgical robots and 3D-printed implants.Conclusions:Guided by the principle of ″simplifying complex surgeries and standardizing common procedures″, the Center will leverage digital intelligence throughout clinical care, aiming to bridge gaps in healthcare quality so that patients can receive top-tier treatment for major diseases within their home provinces. This commitment to homogenized, high-quality care presents a ″China Model″ for global health and advance the national ″Healthy China″ initiative.

Objective:To discuss the feasibility and safety of stage I anastomosis and T-tube fistulation in laparoscopic local resection of duodenal tumors.Methods:A descriptive case series study was used to retrospectively analyze the clinical diagnosis and treatment data of 14 patients with duodenal tumors who successfully underwent laparoscopic local resection of duodenal tumors + phase I anastomosis + T-tube ostomy in the Guangdong Provincial Hospital of Chinese Medicine and the First Affiliated Hospital of Guangzhou University of Chinese Medicine from October 2021 to March 2024. The resection and reconstruction steps of laparoscopic local resection of duodenal tumor + phase I anastomosis + T-tube ostomy are as follows: (1) after the safe margin is clear, the duodenal tumor is completely removed in full thickness, and the specimen bag is taken out and sent to frozen section to determine the nature of the tumor and the negative margin; (2) Perforate the anterior duodenal wall below the tumor plane, place a 16# T tube, and fix it with laparoscopic purse string suture. The abdominal wall is led out through the duodenum, and the duodenal T tube fistulation is performed; (3) The duodenum was continuously sutured in a full-thickness transverse shape, and the seromuscular layer was strengthened to form a phase I anastomosis. The nutritional improvement of patients after operation was mainly observed, and the intraoperative situation and postoperative complications were recorded.Results:No conversion to laparotomy, postoperative emergency reoperation, intraoperative and postoperative complications occurred in 14 patients with duodenal tumors who completed laparoscopic local resection of duodenal tumors + phase I anastomosis + T-tube ostomy. The operation time was (225.43 ± 56.54) min, and the intraoperative blood loss was (72.14 ± 74.65) ml. The patient recovered well after operation, and no severe postoperative abdominal bleeding occurred. Postoperative gastrointestinal angiography showed that the anastomotic stoma was unobstructed, and there were no stenosis, anastomotic leakage and other related complications. There was no significant difference in serum albumin [(37.09 ± 3.53) g/L vs. (37.52 ± 4) g/L] and hemoglobin [(100.79 ± 31.93) g/L vs. (103.07 ± 19.6) g/L] between before and 1 week after operation ( P > 0.05). Conclusion:Laparoscopic local resection of duodenal tumor + phase I anastomosis + T-tube fistulation can be used as one of the safe and feasible improved methods for local resection of duodenal tumor to effectively reduce the occurrence of related complications.

In recent years, generative artificial intelligence (AI) technologies have achieved remarkable progress in the early screening, risk prediction, disease progression assessment, and clinical trial design of glaucoma.Using advanced algorithms, such as generative adversarial networks, variational autoencoders, and diffusion models, researchers have synthesized high-quality structural images of the optic disc, macular region, and retinal nerve fiber layer, which effectively alleviates the limitations of scarce clinical imaging data and label imbalance.These methods have substantially improved the accuracy and generalization of deep learning models in visual field defect prediction, structure-function mapping, and longitudinal disease progression simulation.Meanwhile, multimodal generative approaches that integrate imaging data, visual field tests, and clinical features have facilitated individualized prediction of glaucoma progression.In addition, large language models have shown preliminary potential in ophthalmic image interpretation, clinical text information extraction, and decision support, providing new insights into intelligent ophthalmic diagnosis and treatment.However, the clinical implementation of generative AI in glaucoma faces challenges.The pathological authenticity and cross-device consistency of generated images require further validation, which may affect the reliability of early glaucoma detection.The heterogeneous characteristics of different glaucoma subtypes, such as open-angle and angle-closure glaucoma, also limit the generalization of synthetic data.Moreover, issues related to model interpretability (" black-box" nature), artifact generation, data privacy, and ethical governance remain key barriers to clinical translation.In the future, it is expected that establishing large-scale training frameworks that incorporate multicenter, multimodal, and multiethnic datasets will enhance model robustness and clinical applicability.Furthermore, generative AI may contribute to remote ophthalmic care and personalized precision therapy by enhancing low-quality image, reconstructing missing data, and simulating dynamic disease courses.This article reviews the current applications, core technologies, and challenges of generative AI in glaucoma diagnosis and management, and discusses its future directions and translational potential in clinical ophthalmology.

In recent years, generative artificial intelligence (AI) technologies have achieved remarkable progress in the early screening, risk prediction, disease progression assessment, and clinical trial design of glaucoma.Using advanced algorithms, such as generative adversarial networks, variational autoencoders, and diffusion models, researchers have synthesized high-quality structural images of the optic disc, macular region, and retinal nerve fiber layer, which effectively alleviates the limitations of scarce clinical imaging data and label imbalance.These methods have substantially improved the accuracy and generalization of deep learning models in visual field defect prediction, structure-function mapping, and longitudinal disease progression simulation.Meanwhile, multimodal generative approaches that integrate imaging data, visual field tests, and clinical features have facilitated individualized prediction of glaucoma progression.In addition, large language models have shown preliminary potential in ophthalmic image interpretation, clinical text information extraction, and decision support, providing new insights into intelligent ophthalmic diagnosis and treatment.However, the clinical implementation of generative AI in glaucoma faces challenges.The pathological authenticity and cross-device consistency of generated images require further validation, which may affect the reliability of early glaucoma detection.The heterogeneous characteristics of different glaucoma subtypes, such as open-angle and angle-closure glaucoma, also limit the generalization of synthetic data.Moreover, issues related to model interpretability (" black-box" nature), artifact generation, data privacy, and ethical governance remain key barriers to clinical translation.In the future, it is expected that establishing large-scale training frameworks that incorporate multicenter, multimodal, and multiethnic datasets will enhance model robustness and clinical applicability.Furthermore, generative AI may contribute to remote ophthalmic care and personalized precision therapy by enhancing low-quality image, reconstructing missing data, and simulating dynamic disease courses.This article reviews the current applications, core technologies, and challenges of generative AI in glaucoma diagnosis and management, and discusses its future directions and translational potential in clinical ophthalmology.

Objective:To explore and practice the construction of an innovative ecosystem that integrates innovation in the National Clinical Research Center for Orthopedics and Sports Rehabilitation, providing references and insights for driving high-quality development of medical care.Methods:Guided by a national policy framework and Industry-Academia-Research-Government-Enterprise Collaborative Innovation, the Center had established six innovation platforms and three systemic pillars. The study analyzed its integrated strategy, which encompassed ecosystem design, platform-enabled empowerment, comprehensive system support, end-to-end coverage, a folded innovation approach, and a standardization-driven mechanism.Results:The Center had built a highly integrated innovation ecosystem, creating a powerful driver for technological advancement and commercialization in orthopedics and sports rehabilitation, accelerating the industrialization of key technologies like surgical robots and 3D-printed implants.Conclusions:Guided by the principle of ″simplifying complex surgeries and standardizing common procedures″, the Center will leverage digital intelligence throughout clinical care, aiming to bridge gaps in healthcare quality so that patients can receive top-tier treatment for major diseases within their home provinces. This commitment to homogenized, high-quality care presents a ″China Model″ for global health and advance the national ″Healthy China″ initiative.

Objective:To discuss the feasibility and safety of stage I anastomosis and T-tube fistulation in laparoscopic local resection of duodenal tumors.Methods:A descriptive case series study was used to retrospectively analyze the clinical diagnosis and treatment data of 14 patients with duodenal tumors who successfully underwent laparoscopic local resection of duodenal tumors + phase I anastomosis + T-tube ostomy in the Guangdong Provincial Hospital of Chinese Medicine and the First Affiliated Hospital of Guangzhou University of Chinese Medicine from October 2021 to March 2024. The resection and reconstruction steps of laparoscopic local resection of duodenal tumor + phase I anastomosis + T-tube ostomy are as follows: (1) after the safe margin is clear, the duodenal tumor is completely removed in full thickness, and the specimen bag is taken out and sent to frozen section to determine the nature of the tumor and the negative margin; (2) Perforate the anterior duodenal wall below the tumor plane, place a 16# T tube, and fix it with laparoscopic purse string suture. The abdominal wall is led out through the duodenum, and the duodenal T tube fistulation is performed; (3) The duodenum was continuously sutured in a full-thickness transverse shape, and the seromuscular layer was strengthened to form a phase I anastomosis. The nutritional improvement of patients after operation was mainly observed, and the intraoperative situation and postoperative complications were recorded.Results:No conversion to laparotomy, postoperative emergency reoperation, intraoperative and postoperative complications occurred in 14 patients with duodenal tumors who completed laparoscopic local resection of duodenal tumors + phase I anastomosis + T-tube ostomy. The operation time was (225.43 ± 56.54) min, and the intraoperative blood loss was (72.14 ± 74.65) ml. The patient recovered well after operation, and no severe postoperative abdominal bleeding occurred. Postoperative gastrointestinal angiography showed that the anastomotic stoma was unobstructed, and there were no stenosis, anastomotic leakage and other related complications. There was no significant difference in serum albumin [(37.09 ± 3.53) g/L vs. (37.52 ± 4) g/L] and hemoglobin [(100.79 ± 31.93) g/L vs. (103.07 ± 19.6) g/L] between before and 1 week after operation ( P > 0.05). Conclusion:Laparoscopic local resection of duodenal tumor + phase I anastomosis + T-tube fistulation can be used as one of the safe and feasible improved methods for local resection of duodenal tumor to effectively reduce the occurrence of related complications.

Objective To investigate the mechanism by which AGE receptor(RAGE)antagonist FPS-ZM1 inhibits AGE accumulation and promotes wound repair in rats with diabetic foot ulcer(DFU).Methods A total of 30 SD rats were divided into normal control(Con)group,sham operation group(Sham),DFU group,FPS-ZM1 treatment group(DFU+FPS-ZM1),and phosphate buffer saline treatment group(DFU+PBS),with 6 rats in each group.Masson staining was used to evaluate the wound surface structure.ELISA was used to detect the expression of AGE,TNF-α,matrix metalloproteinase 9(MMP-9),and VEGF proteins in serum and tissues,and Western blot method was used to test the expression of RAGE,VEGF receptor(VEGFR),CD31,and nuclear factor κB(NF-κB)proteins.Results Compared with the Con and Sham groups,the collagen fibers had less indigo staining,disordered arrangement and sparse distribution in DFU group.Compared with the DFU and DFU+PBS groups,the DFU+FPS-ZM1 group showed obvious blue staining of collagen fibers in the wound granulation tissue,and the number of deposition layers was relatively neat and orderly.Compared with Sham group,the expressions of AGE,TNF-α and MMP-9 proteins,NF-κB and RAGE proteins in serum and tissues were increased(P<0.05),and the expressions of VEGF protein and CD31 and VEGFR proteins in serum and tissues were decreased in DFU group(P<0.05).Compared with DFU group,the expressions of AGE,TNF-α and MMP-9 proteins,NF-κB and RAGE proteins in serum and tissues decreased(P<0.05),and the expression of VEGF protein and CD31 and VEGFR proteins in serum and tissues increased in DFU+FPS-ZM1 group(P<0.05).Compared with DFU+FPS-ZM1 group,the expressions of AGE,TNF-α and MMP-9 proteins,NF-κB and RAGE proteins in serum and tissues increased(P<0.05),and the expressions of VEGF protein,CD31 and VEGFR proteins in serum tissues decreased in DFU+PBS group(P<0.05).Conclusions The RAGE antagonist FPS-ZM1 down-regulates MMP-9 and up-regulates VEGF by inhibiting the NF-κB inflammatory signaling pathway,and promotes DFU wound healing.