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 measures and effects of comprehensive noise control in an automobile engine manufacturing enterprise. Methods An automobile engine manufacturing enterprise with noise exposure work-sites was selected as the research subject. The noise hazard status of the enterprise was investigated. The noise hazard exceeded the national standard in work-sites was comprehensively treated. The treatment effect was analyzed. Results A total of 395 work-sites exposed to noise were detected. Among them, 16 work-sites exceeded the national noise standard, with the rate of 4.1%. The work-sites with noise exceeding the national standard were mainly in the machine workshop and the casting workshop, with normalization of equivalent continuous A-weighted sound pressure level to a nominal eight hours working day (L_EX,8h) ranging from 86.8 to 89.2 and 85.2 to 90.2 dB(A), respectively. In addition, the classification of occupational noise exposure of the mold protection group in the casting workshop was level Ⅱ, and classification of occupational noise exposure of other work-sites with excessive national standard was grade Ⅰ. After the enterprise implemented noise control measures such as process reform, equipment replacement, sound insulation, noise reduction, sound absorption, and vibration isolation, the L_EX,8h of nine positions were lower than those before rectification ［(86.7±1.1) vs (83.3±1.3) dB(A), P<0.01］. Conclusion The use of comprehensive control measures can achieve the purpose of reducing noise from the sources, and can be used for reference by relevant enterprises with noise hazards.

Esophageal cancer is an upper gastrointestinal malignancy with a bleak prognosis.It is still being explored in depth due to its complex molecular mechanisms of occurrence and development.Lipids play a crucial role in cells by participating in energy supply,biofilm formation,and signal transduction pro-cesses,and lipid metabolic reprogramming also constitutes a significant characteristic of malignant tu-mors.More and more studies have found esophageal cancer has obvious lipid metabolism abnormalities throughout its beginning,progress,and treatment resistance.The inhibition of tumor growth and the enhancement of antitumor therapy efficacy can be achieved through the regulation of lipid metabolism.Therefore,we reviewed and analyzed the research results and latest findings for lipid metabolism and associated analysis techniques in esophageal cancer,and comprehensively proved the value of lipid metabolic reprogramming in the evolution and treatment resistance of esophageal cancer,as well as its significance in exploring potential therapeutic targets and biomarkers.

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 observe and evaluate the protective effect of desflurane post-conditioning on myocardial injury during cardiopulmonary bypass and its influence on patients'postoperative recovery.Methods A total of 200 patients in need of cardiac surgery were selected as the experimental subjects,who were aged from 20 to 65 years old,and divided into ASA Ⅱ-Ⅲ and NYHA Ⅱ-Ⅲ by endotracheal intubation and extracorporeal circulation method under general anesthesia.The patients were randomly divided into desflurane post-treatment group(experi-mental group,group D)and control group(group C)after selection.With the successive opening of the aorta and superior vena cava,group D were given 5%desflurane by inhalation with mechanical ventilation.While group C inhaled pure oxygen without inhaling desflurane.The depth of intraoperative anesthesia was maintained between 40～50 during the operation.Radial artery blood was collected from patients in 24 h before surgery(T0),immediately after intubation(T1),and 1 h(T2),6 h(T3),12 h(T4)and 24 h(T5)after aortic opening to achieve the determi-nation of troponin I(cTnI)and creatine kinase isoenzyme MB(CK-MB).On the premise of obtaining the informed consent of the patient,about 50 mg of right atrial appendage tissue was collected before aortic intubation(T1.5)and 1 hour after aortic opening(T2)to determine the apoptosis rate.Results(1)cTnI in group C at the time of T2,T3,T4 and T5 was apparently higher than group D(P<0.05).(2)CK-MB in group C at the time of T3 was apparently higher than group D(P<0.05).(3)The myocardial tissue results showed that there was a lower apoptosis rate in experimental group at the time of T2(P<0.05).Conclusion Desflurane post-conditioning has a myocardial protec-tive effect during cardiac surgery under cardiopulmonary bypass.

Objective To compare the effect of posterior cruciate ligament retaining(CR)and posterior cruciate substituting(PS)prosthesis in knee arthroplasty.Methods 64 patients with knee osteoarthritis were admitted to our department from June 2021 to June 2022 and whom met the selection criteria were randomly selected and divided into observation group and control group(n = 32).CR prosthesis was used in the observation group,and PS prosthesis was used in the control group.Operation time,postoperative drainage volume,difference of hemoglobin(HGB)before and after operation,postoperative hospital stay,postoperative range of motion at 7 d,14 d,45 d,3 months and 1 year were recorded.ROM,visual analog pain Scale(VAS),Hospital for special surgery(HSS)score,and maximum forward and backward displacement of knee joint and the regular radiographs were also recorded,too.Results The two groups were similar in terms of operation time,postoperative hospital stay,postoperative VAS score and maximum anterior and posterior displacement of knee joint,with P values greater than 0.05,which had no statistical significance.The postoperative drainage volume in the observation group was significantly less than that in the control group,with statistical significance(P＜0.05).The HGB difference of observation group was significantly lower than that of control group,with statistical significance(P＜0.05).There was no statistically significant differ-ence in ROM and HSS scores between the two groups before surgery;the ROM and HSS scores of the control group at 7,14 and 45 days after surgery was better than that of the observation group,with statistical significance(P＜0.05);the ROM and HSS scores of the two groups at 3 months after surgery was not statistically significant.The ROM and HSS scores in the observation group was better than that in the control group at 6 months and 1 year after operation,and the difference was statistically significant(P＜0.05).Conclusions CR prosthesis is superior to PS prosthesis in terms of intraoperative blood loss and post-operative drainage volume,which can reduce surgical risk.Both kinds of prosthesis can achieve good knee stability after surgery,while PS prosthesis has better early clinical effect,while CR prosthesis has better long-term clinical effect.

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.