Liver fibrosis is a chronic liver injury resulting from factors like viral hepatitis, autoimmune hepatitis, non-alcoholic steatohepatitis, fatty liver disease, and cholestatic liver disease. Liver transplantation is currently the gold standard for treating severe liver diseases. However, it is limited by a shortage of donor organs and the necessity for lifelong immunosuppressive therapy. Mesenchymal stem cells (MSCs) can differentiate into various liver cells and enhance liver function when transplanted into patients due to their differentiation and proliferation capabilities. Therefore, it can be used as an alternative therapy for treating liver diseases, especially for liver cirrhosis, liver failure, and liver transplant complications. However, due to the potential tumorigenic effects of MSCs, researchers are exploring a new approach to treating liver fibrosis using extracellular vesicles (exosomes) secreted by stem cells. Many studies show that exosomes released by stem cells can promote liver injury repair through various pathways, contributing to the treatment of liver fibrosis. In this review, we focus on the molecular mechanisms by which stem cell exosomes affect liver fibrosis through different pathways and their potential therapeutic targets. Additionally, we discuss the advantages of exosome therapy over stem cell therapy and the possible future directions of exosome research, including the prospects for clinical applications and the challenges to be overcome.

Liver fibrosis is a chronic liver injury resulting from factors like viral hepatitis, autoimmune hepatitis, non-alcoholic steatohepatitis, fatty liver disease, and cholestatic liver disease. Liver transplantation is currently the gold standard for treating severe liver diseases. However, it is limited by a shortage of donor organs and the necessity for lifelong immunosuppressive therapy. Mesenchymal stem cells (MSCs) can differentiate into various liver cells and enhance liver function when transplanted into patients due to their differentiation and proliferation capabilities. Therefore, it can be used as an alternative therapy for treating liver diseases, especially for liver cirrhosis, liver failure, and liver transplant complications. However, due to the potential tumorigenic effects of MSCs, researchers are exploring a new approach to treating liver fibrosis using extracellular vesicles (exosomes) secreted by stem cells. Many studies show that exosomes released by stem cells can promote liver injury repair through various pathways, contributing to the treatment of liver fibrosis. In this review, we focus on the molecular mechanisms by which stem cell exosomes affect liver fibrosis through different pathways and their potential therapeutic targets. Additionally, we discuss the advantages of exosome therapy over stem cell therapy and the possible future directions of exosome research, including the prospects for clinical applications and the challenges to be overcome.

Liver fibrosis is a chronic liver injury resulting from factors like viral hepatitis, autoimmune hepatitis, non-alcoholic steatohepatitis, fatty liver disease, and cholestatic liver disease. Liver transplantation is currently the gold standard for treating severe liver diseases. However, it is limited by a shortage of donor organs and the necessity for lifelong immunosuppressive therapy. Mesenchymal stem cells (MSCs) can differentiate into various liver cells and enhance liver function when transplanted into patients due to their differentiation and proliferation capabilities. Therefore, it can be used as an alternative therapy for treating liver diseases, especially for liver cirrhosis, liver failure, and liver transplant complications. However, due to the potential tumorigenic effects of MSCs, researchers are exploring a new approach to treating liver fibrosis using extracellular vesicles (exosomes) secreted by stem cells. Many studies show that exosomes released by stem cells can promote liver injury repair through various pathways, contributing to the treatment of liver fibrosis. In this review, we focus on the molecular mechanisms by which stem cell exosomes affect liver fibrosis through different pathways and their potential therapeutic targets. Additionally, we discuss the advantages of exosome therapy over stem cell therapy and the possible future directions of exosome research, including the prospects for clinical applications and the challenges to be overcome.

ObjectiveTo analyze the incidence and trend of stroke in Beilun District, so as to provide evidence for identifying influencing factors and reducing stroke incidence. MethodsStroke cases from 2012 to 2023 were extracted from the Ningbo Chronic Disease Collaborative Management System. Population information of Beilun District during the same period was also collected. The annual incidence and trends of stroke were analyzed. ResultsFrom 2012 to 2023, the age-standardized incidence rate of stroke in Beilun District, Ningbo City was 317.68/100 000, showing an increasing trend with an average annual percentage change (AAPC) of 2.267% (P=0.034). Among all subdistricts in Beilun District, two showed a downward trend in incidence, while the rest showed an upward trend. The crude incidence rate of stroke was significantly higher in males than that in females (P<0.001). The age-standardized incidence rate in males was 406.08/100 000, showing an increasing trend (AAPC=3.956%, P<0.001). The incidence of stroke also showed an increasing trend in the following age groups: 30‒<45 years (AAPC=6.340%, P=0.004), 45‒<60 years (AAPC=4.997%, P<0.001), and 60‒<75 years (AAPC=3.282%, P=0.042). Across all years, males had higher crude incidence rates in both ischemic and hemorrhagic stroke than females (P<0.05). The age-standardized incidence rate of ischemic stroke showed a rising trend in both males and the general population (male AAPC=4.905%, P<0.001; overall population AAPC=3.065%, P=0.001). ConclusionThe age-standardized incidence of stroke in Beilun District is on the rise, with higher crude incidence rate in males than that in females. The onset age of stroke is gradually declining. The age-standardized incidence rate of male ischemic stroke shows a clear upward trend.

Objective To verify the genetic characteristics associated with gastric cancer,and to propose a hybrid feature selection method for identifying target genes,further analyzing their significance and establishing a new diagnostic prediction model.Methods Analysis of variance in bioinformatics was performed on the original gastric cancer data,and then machine learning methods such as random forest,recursive feature elimination of support vector machine,and LASSO algorithm were used to screen gastric cancer associated genes,and the intersection of results was taken as the key gene set.The key genes were identified and verified through enrichment analysis.The diagnosis and prediction models based on 8 kinds of machine learning classification algorithms such as multi-layer perceptron,logistic regression and decision tree,were constructed using the key genes.Results The key genes selected by the hybrid feature selection method were closely related to the tumorigenesis and development.Eight key genes(TXNDC5,BMP8A,ONECUT2,COL10A1,JCHAIN,INHBA,LCTL and TRIM59)were identified as potential markers of good diagnostic efficacy in gastric cancer.The ROC curve and accuracy results demonstrated that among the 8 classification models,MLP is the best gastric cancer prediction model,with an accuracy of 97.77%,which was 3.83%higher than that of Xgboost gastric cancer prediction model.Conclusion The study identifies 8 key genes for the diagnosis and prevention of gastric cancer,and establishes the optimal prognosis model.

Tumors are serious diseases threatening human health,and the early diagnosis is essential to improve treatment success and patient survival.The study of tumor gene expression data has become a major tool for revealing tumor disease mechanisms,in which artificial intelligence plays an important role.The potential advantages of supervised learning,unsupervised learning and deep learning in tumor prediction and classification are explored from the perspective of machine learning methods.Special attention is paid to the impact of feature selection algorithms on gene screening and their importance in high-dimensional gene expression data.By providing a comprehensive overview of the application and development of artificial intelligence in the analysis of tumor gene expression data,the study aims to provide an outlook for future research directions and promote further development.

Objective:To investigate the impact of body mass index (BMI) on the postoperative complications of open pancreaticoduodenectomy (OPD).Methods:The preoperative, operative and postoperative data of 234 patients who underwent OPD in the Department of the Hepatobiliary and Pancreatic Surgery of First Affiliated Hospital affiliated to Naval Medical University from January 2015 to June 2016 were analyzed retrospectively. According to the Asian BMI standard, the patients were divided into three groups: underweight group (BMI<18.5 kg/m 2, n=32), normal weight group (18.5 kg/m 2≤BMI<23.0 kg/m 2, n=110) and overweight group (BMI≥23.0 kg/m 2, n=92). Normal weight group was compared with underweight group and overweight group, respectively, to analyze the relationship between BMI and intraoperative parameters and major postoperative complications of OPD. Results:The incidence of diabetes in underweight group was lower than that in normal weight group, and the proportion of ASA score 3 in underweight group was higher than that in normal weight group, and there were significantly statistical differences (both P value <0.05). There was no significant difference on the other variables between underweight group, normal weight group and overweight group. The operation time, intraoperative hemorrhage volume >800 ml and intraoperative blood transfusion rate were not statistically different between underweight group and normal weight group, but overweight group had obviously higher intraoperative blood transfusion rate than normal weight group and the difference was statistically significant ( P<0.05). Underweight group had more postoperative intraperitoneal hemorrhage and postoperative blood transfusion rate than normal weight group, and the readmission rate in underweight group was less than that in normal weight group; the incidence of clinically related-post operative pancreatic fistula, postoperative infection, gastrointestinal bleeding and delayed gastric emptying in overweight group were significantly higher than those in normal weight group, and there were significantly statistical differences (all P value <0.05). In underweight group, normal weight group and overweight group, the average length of hospital stay were 9.9 days, 11.3 days, 15 days, and the total hospitalization expenses were 63663.04 yuan, 66241.78 yuan and 80484.31 yuan, respectively. Conclusions:Compared to normal weight patients, the difficulty of OPD in underweight patients does not increase, while the difficulty of OPD in overweight patients increases. Underweight and overweight could both increase the postoperative complications of OPD to some extent.

Objective:The transjugular or transfemoral approach is used as a common method for hepatic venous pressure gradient (HVPG) measurement in current practice. This study aims to confirm the safety and effectiveness of measuring HVPG via the forearm venous approach.Methods:Prospective recruitment was conducted for patients with cirrhosis who underwent HVPG measurement via the forearm venous approach at six hospitals in China and Japan from September 2020 to December 2020. Patients' clinical baseline information and HVPG measurement data were collected. The right median cubital vein or basilic vein approach for all enrolled patients was selected. The HVPG standard process was used to measure pressure. Research data were analyzed using SPSS 22.0 statistical software. Quantitative data were used to represent medians (interquartile ranges), while qualitative data were used to represent frequency and rates. The correlation between two sets of data was analyzed using Pearson correlation analysis.Results:A total of 43 cases were enrolled in this study. Of these, 41 (95.3%) successfully underwent HVPG measurement via the forearm venous approach. None of the patients had any serious complications. The median operation time for HVPG detection via forearm vein was 18.0 minutes (12.3~38.8 minutes). This study confirmed that HVPG was positively closely related to Child-Pugh score ( r = 0.47, P = 0.002), albumin-bilirubin score ( r = 0.37, P = 0.001), Lok index ( r = 0.36, P = 0.02), liver stiffness ( r = 0.58, P = 0.01), and spleen stiffness ( r = 0.77, P = 0.01), while negatively correlated with albumin ( r = -0.42, P = 0.006). Conclusion:The results of this multi-centre retrospective study suggest that HVPG measurement via the forearm venous approach is safe and feasible.

Objective To study the relationship between peripheral blood Toll like receptor 4(TLR4),interleukin-1β(IL-1β)and neutrophil-to-lymphocyte ratio(NLR)and the progression and prognosis of acute pancreatitis(AP).Methods A total of 250 patients with AP were divided into the mild group(121 cases),the moderately severe group(89 cases)and the severe group(40 cases)according to the disease severity.Patients were divided into the poor prognosis group(33 cases)and the good prognosis group(217 cases)based on the prognosis after 5 days of treatment.Peripheral blood levels of TLR4,IL-1β and NLR were compared at different time points,different conditions and different prognosis in patients.The correlation of peripheral blood levels of TLR4,IL-1β and NLR,Ranson score and amylase were analyzed by Pearson correlation analysis.The value of each indicator in the diagnosis of severe AP was analyzed using ROC curve,and multivariate Logistic regression analysis was conducted to identify the prognostic risk factors.Results TLR4,IL-1β and NLR levels in AP patients were higher 24 h after admission than 48 h and 72 h after admission(P＜0.05).Peripheral blood TLR4 and IL-1β levels in AP patients at 24 h after admission increased with the condition became worse.NLR level was higher in the severe group than that in the moderately group or the mild group(P＜0.05).Peripheral blood TLR4,IL-1β and NLR levels in AP patients 24 h after admission were positively correlated with Ranson score at 48 h after admission and amylase level at 24 h after admission(P＜0.05).The area under ROC curve,sensitivity and specificity of the combination of TLR4,IL-1β and NLR at 24 h after admission for predicting severe AP were 0.895,84.53%and 81.69%.Peripheral blood TLR4,IL-1β and NLR levels 24 h after admission were higher in the poor prognosis group than those in the good prognosis group(P＜0.05).Multivariate Logistic regression analysis showed that elevated TLR4,IL-1β and NLR at 24 h after admission were independent risk factors for poor prognosis of patients with AP(P＜0.05).Conclusion Peripheral blood TLR4,IL-1β and NLR in patients with AP are closely related to disease progression and prognosis.Therefore,they can be taken as important monitoring indicators.

ObjectiveTo observe the therapeutic effect of Shugan Huazheng prescription on hepatic fibrosis model rats induced by carbon tetrachloride （CCl₄） and explore whether it plays its role through hypoxia-induced factor-1α/vascular endothelial growth factor/transforming growth factor-β₁ （HIF-1α/VEGF/TGF-β₁） pathway. MethodA total of 54 male SPF SD rats were randomly divided into six groups： blank group， model group， colchicine group （0.2 mg·kg^-1）， and high-， medium-， and low-dose groups （29.52， 14.76， and 7.38 g·kg^-1） of Shugan Huazheng prescription， with nine rats in each group. The molding was conducted three times a week for eight weeks. Administration began the day after the first injection， and the drug intervention was once a day for eight weeks. On the day after the last administration， the rats were deprived of food and water， and they were killed the next day， during which the physiological status of each group of rats was dynamically monitored. The pathological changes in the liver were observed by hematoxylin-eosin （HE） staining， and the content of hydroxyproline （HYP） and angiotensin Ⅱ （AngⅡ） in liver tissue were detected by enzyme-related immunosorbent assay （ELISA）. Real-time fluorescent quantitative PCR （Real-time PCR） was used to determine the mRNA expression levels of HIF-1α， VEGF， and TGF-β₁ in liver tissue， and immunohistochemical method （IHC） and Western blot were used to detect the protein expression levels of HIF-1α， VEGF， and TGF-β₁ in liver tissue. ResultCompared with the blank group， the overall condition of rats in the model group decreased significantly. The proliferation of connective tissue and the increase in adipose cells between hepatocytes were obvious. The content of HYP and Ang was increased. The mRNA and protein expressions of HIF-1α， VEGF， and TGF-β₁ were increased to varying degrees （P<0.05）. Compared with the model group， the proliferation of connective tissue and inflammatory cell infiltration in the liver tissue of colchicine and Shugan Huazheng prescription groups were reduced. The content of HYP and Ang was decreased. The mRNA and protein expression levels of HIF-1α， VEGF， and TGF-β₁ were decreased， and the colchicine group and high-dose group of Shugan Huazheng prescription were the most significant （P<0.05）. ConclusionShugan Huazheng prescription has an obvious therapeutic effect on CCl₄-induced hepatic fibrosis model rats. Its therapeutic mechanism may be related to the regulation of the HIF-1α/VEGF/TGF-β₁ signaling pathway and the improvement of hepatic hypoxia， vascular remodeling， and the syndrome of Qi deficiency and blood stasis in hepatic fibrosis.