1.Effect of compressive stress microenvironment on cytokines during fracture healing
Jiachen GUO ; Jun GAO ; Wenhao DAI ; Huayuan LIAO ; You JIANG ; Xi ZHANG
Chinese Journal of Tissue Engineering Research 2026;30(4):908-916
BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.
2.Effect and mechanism of folic acid-modified NK cell-derived exosomes delivering reovirus against ovarian cancer
YE Rui1,2 ; DAI Xiaofeng3 ; LIU Xiong1 ; CHEN Liang4 ; ZHANG Jing5 ; ZHANG Yingchun5 ; GUO Ting6 ; ZHAO Xing1,2
Chinese Journal of Cancer Biotherapy 2026;33(2):120-131
[摘 要] 目的:开发新型溶瘤呼肠孤病毒(Reo)递送系统,以克服中和抗体对Reo的中和作用并提升其肿瘤靶向性。方法:通过切向流过滤联合超高速离心法制备自然杀伤细胞外泌体(NKexo),叶酸(FA)修饰后采用挤压法包载Reo,构建FA-NKexo-Reo递送系统;通过透射电镜(TEM)、纳米粒径分析、蛋白质印迹(WB)法、核磁共振氢谱及流式细胞术等技术表征其理化性质;采用CCK-8、流式细胞术、Transwell实验及激光共聚焦显微镜评估FA-NKexo-Reo递送系统体外细胞毒性及细胞摄取能力;通过人卵巢癌裸鼠皮下移植瘤模型评价FA-NKexo-Reo的肿瘤靶向性、疗效及安全性。结果:FA-NKexo-Reo粒径为(94.0 ± 28.5)nm,Zeta电位为(-21.26 ± 1.57)mV,包封率达(49.7 ± 15.6)%;在中和抗体的存在下,FA-NKexo-Reo对卵巢癌细胞SKOV3和A2780仍可表现出显著的细胞毒性(P < 0.01);荷瘤鼠活体成像显示FA-NKexo-Reo肿瘤靶向性显著优于NKexo组,肿瘤抑制率提升60%(P < 0.001)。结论:成功制备FA-NKexo-Reo递送系统,在中和抗体的存在下,FA-NKexo-Reo可保护并靶向递送Reo到高表达叶酸受体的卵巢癌细胞,从而增强Reo的抗肿瘤作用。
3.Long-term survival outcomes and prognostic factors following radical resection of pancreatic body and tail cancer:a retrospective analysis of 992 patients
Dong XU ; Yang WU ; Kai ZHANG ; Nan LYU ; Qianqian WANG ; Pengfei WU ; Jie YIN ; Baobao CAI ; Guodong SHI ; Jianzhen LIN ; Yazhou WANG ; Lingdi YIN ; Zipeng LU ; Min TU ; Jianmin CHEN ; Feng GUO ; Jishu WEI ; Junli WU ; Wentao GAO ; Cuncai DAI ; Yi MIAO ; Kuirong JIANG
Chinese Journal of Surgery 2026;64(1):46-54
Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.
4.TCM Treatment of Sarcopenia Based on PI3K/Akt Signaling Pathway: A Review
Yan CHEN ; Ting DAI ; Changsheng GUO ; Zhihai FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):316-326
Sarcopenia is a systemic skeletal muscle disease characterized by the gradual decline of muscle mass,strength,and function,and its occurrence and development are related to multiple factors,involving several signaling pathways. Among them,the phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt) signaling pathway,as a key pathway regulating cellular growth,survival,and metabolism,plays an important role in the formation and development of sarcopenia. Its abnormal activation or deactivation may lead to an imbalance in muscle protein metabolism,resulting in muscle atrophy and reduction. Modern medicine is still in the exploratory stage of treatment for sarcopenia. Traditional Chinese medicine (TCM),with its multi-pathway and multi-target characteristics,has shown increasing advantages in the prevention and treatment of sarcopenia. In recent years,various monomers, extracts,and compound formulas of TCM have been proven to effectively prevent and treat sarcopenia by promoting muscle cell protein synthesis,reducing protein degradation,inhibiting cell apoptosis and inflammatory response,and improving mitochondrial function. This paper reviewed the improvement effects of TCM on sarcopenia based on the PI3K/Akt pathway and explored its specific action mechanisms, aiming to provide new insights for the treatment of sarcopenia with TCM.
5.Long-term survival outcomes and prognostic factors following radical resection of pancreatic body and tail cancer:a retrospective analysis of 992 patients
Dong XU ; Yang WU ; Kai ZHANG ; Nan LYU ; Qianqian WANG ; Pengfei WU ; Jie YIN ; Baobao CAI ; Guodong SHI ; Jianzhen LIN ; Yazhou WANG ; Lingdi YIN ; Zipeng LU ; Min TU ; Jianmin CHEN ; Feng GUO ; Jishu WEI ; Junli WU ; Wentao GAO ; Cuncai DAI ; Yi MIAO ; Kuirong JIANG
Chinese Journal of Surgery 2026;64(1):46-54
Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.
6.Effect of compressive stress microenvironment on cytokines during fracture healing
Jiachen GUO ; Jun GAO ; Wenhao DAI ; Huayuan LIAO ; You JIANG ; Xi ZHANG
Chinese Journal of Tissue Engineering Research 2026;30(4):908-916
BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.
7.Expert consensus on the application of artificial intelligence in lung cancer screening, diagnosis, and treatment (2026 edition)
Wenzhao ZHONG ; Haibo WANG ; Yi HU ; Hao ZHANG ; Jigang DAI ; Junqiang FAN ; Guibin QIAO ; Fan YANG ; Jian HU ; Fengwei TAN ; Xuening YANG ; Qiang PU ; Zihao CHEN ; Hongxia TIAN ; Lunxu LIU ; Hecheng LI ; Xiaolong YAN ; Zongyang YU ; Zhenbin QIU ; Yihua SUN ; Jing HU ; Yuhang SHI ; Zhifei GUO ; Peng ZHANG ; Kezhong CHEN ; Shugeng GAO ; Yilong WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(06):848-856
With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.
8.Mechanism Prediction of Banxia Baizhu Tianmatang and Danggui Shaoyaosan Intervention in Ménière's Disease Based on LC-MS Technology Combined with Network Bioinformatics
Xingye ZHU ; Jiaxiang YU ; Ziyue YUAN ; Shengrong GUO ; Jianyu DAI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(24):50-60
ObjectiveThis study aims to analyze the pharmacodynamic material basis and multi-target mechanism of action of Banxia Baizhu Tianmatang combined with Danggui Shaoyaosan in the treatment of Meniere's disease(MD). MethodsUltra-performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS) (mobile phase: gradient elution with 0.1% formic acid aqueous solution-acetonitrile. Mass spectrometry scanning range: m/z 90-1 300) was used to identify the chemical components of the compound recipe and components absorbed into blood. The core mechanism was predicted by combining network pharmacology (target screening via SwissTargetPrediction and GeneCards databases, and construction of protein-protein interaction (PPI) network by STRING) and molecular docking (evaluated by Autodock, with binding energy ≤ -5.0 kcal·mol-1). For animal experiment validation, 36 Sprague Dawley (SD) rats were divided into a blank group, a model group (postauricular injection of lipopolysaccharide (LPS) at 1 mg·kg-1), low/medium/high-dose Chinese medicine groups (5.94, 11.88, and 23.76 g·kg-1·d-1, respectively), and Western medicine group (betahistine at 0.1 mg·kg-1·d-1). After eight weeks of intervention, the gene and protein expressions in cochlear tissue were detected. Results①A total of 2 831 chemical components and 173 components absorbed into blood were identified, with terpenoids showing the highest absorption rate into blood(10.28%). ②60 common drug-disease targets were screened, with core targets including tumor necrosis factor-α(TNF-α),interleukin-6(IL-6), Toll-like receptor 4(TLR4), angiotensin-converting enzyme(ACE), and endothelial nitric oxide synthase 3(NOS3).These targets were enriched in the nuclear factor-κB(NF-κB) signaling pathway and renin-angiotensin system(P<0.05). Molecular docking showed that the active component YC-1 had a strong binding ability to TNF(binding energy-9.66 kcal·mol-1). ③In animal experiments, the high-dose Chinese medicine group significantly down-regulated the expression of pro-inflammatory factors TNF mRNA(P<0.01)and up-regulated vascular regulatory factors NOS3 protein(P<0.01), and alleviated cochlear pathological damage[hematoxylin eosin (HE) score: from 4 to 2]. ConclusionThis compound recipe synergistically regulates the TNF/NF-κB inflammatory pathway and ACE/NOS3 vascular homeostasis pathway through flavonoids, triterpenoids, and other components, thereby inhibiting endolymphatic hydrops and cochlear damage. It provides a scientific basis for the theory of "simultaneous treatment of phlegm and blood stasis" in traditional Chinese medicine.
9.Establishing an age prediction model based on radiomics of oral panoramic radiographs
Yonggang DAI ; Suiyan WEI ; Yu SU ; Jing GUO
Chinese Journal of Forensic Medicine 2025;40(2):194-197
Objective To construct an age prediction model for adolescents using radiomics from oral panoramic radiographs.Methods Panoramic radiographic images of 441 adolescent patients aged 11.00~13.99 years were imported into the open-source software 3D Slicer for segmentation of regions of interest(ROI).Python was used to extract all features from the ROIs of all patients.The patients were randomly divided into a training set and a test set at a ratio of 7∶3.Machine learning methods were applied to analyze the correlation between radiomics features and age characteristics to build the age prediction model.Results Out of 863 two-dimensional radiomics features,10 were selected.Three machine learning methods—support vector machine,random forest,and logistic regression—were used to train the model on the training set,and the best machine learning model was chosen.The performance of the machine learning models was evaluated using the Area Under Curve(AUC).In the test set,the AUCs for females were 0.795,0.830,and 0.795 for the three methods respectively,while for males,they were 0.830,0.864,and 0.846.Conclusion The radiomics model based on oral panoramic radiographs demonstrates good diagnostic efficacy and can be used for age prediction.
10.Clinical application of ultrasound-guided percutaneous catheter drainage in children with pancreatitis
Hongling GUO ; Mingman ZHANG ; Xiaoke DAI ; Qiang XIONG
Chinese Journal of Applied Clinical Pediatrics 2025;40(1):17-20
Objective:To investigate the clinical application of ultrasound-guided percutaneous catheter drainage in the management of pediatric pancreatitis, delineate the indications, and assess the efficacy and safety of the procedure.Methods:A retrospective case analysis.Eighteen patients who underwent ultrasound-guided percutaneous drainage at Children′s Hospital of Chongqing Medical University from September 2018 to January 2023 were conducted.The cohort comprised 10 males and 8 females aged 1 year 4 months to 15 years and 9 months.The causes of disease were traumatic pancreatitis (9 cases), acute pancreatitis (8 cases), and recurrent pancreatitis (1 case).The disease duration ranged from 1 day to 5 months.The indications for the procedure included acute peripancreatic fluid collection with infection and peritonitis, pancreatic pseudocyst, progressive increase of acute peripancreatic fluid collection, or compression symptoms.Patients′ clinical data, including drainage site, drainage condition, puncture technique, puncture success rate and puncture complications, were collected and analyzed.Results:Nineteen drainage procedures were all successfully performed on the 18 children, and no puncture injury, drainage tube obstruction, drainage tube infection, and other complications were observed.Postoperative drainage volume on the first day ranged from 100 mL to 1 010 mL.Postoperative catheterization time spanned from 6 to 93 days, with a median of 29 days.One patient experienced drainage tube displacement after surgery, and one patient progressed to chronic pancreatitis.The remaining patients achieved clinical cure and had their drainage tubes removed.No serious short-term or long-term complications were noted postoperatively.Conclusions:Ultrasound-guided percutaneous drainage emerges as an effective therapeutic approach for children with acute pancreatitis, offering advantages such as favorable efficacy, straightforward operation, high safety, and minimal trauma.

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