Objective To investigate the changes of serum cardiac-specific troponin I (cTnI) level in patients after lung transplantation. Methods Clinical data of patients undergoing lung transplantation in our hospital from December 2016 to December 2022 were retrospectively analyzed. The relationship between postoperative serum cTnI level and clinical characteristics were explored. Results Finally 20 patients were collected, including 15 males and 5 females with an average age of (51.65±12.79) years. The serum cTnI level was significantly increased after lung transplantation. The serum cTnI reached the highest level on the first day after transplantation, and significantly decreased from the third day after transplantation. The serum cTnI levels in patients with obstructive pulmonary disease and bilateral lung transplantation were significantly higher than those in patients with restrictive pulmonary disease and unilateral lung transplantation on the day after surgery and on the first day after transplantation. Conclusion Transient myocardial injury can occur after lung transplantation, which is characterized by an abnormal increase in serum cTnI level.

Objective To investigate the effect of oxaliplatin on the activation of hepatic stellate cells(HSCs),as well as the association of oxaliplatin with microRNA-30a-5p and autophagy.Methods HSC-LX2 cells were cultured and divided into groups according to the following three protocols:control group,PDGF treatment group,oxaliplatin treatment group,oxaliplatin+PDGF treatment group;control group,microRNA-30a-5p transfection group,PDGF treatment group,microRNA-30a-5p transfection+PDGF treatment group;control group,3-MA group,microRNA-30a-5p inhibitor group,microRNA-30a-5p inhibitor+3-MA group.Western Blot was used to measure the expression of HSC activation-related proteins(Collagen-I and alpha-smooth muscle actin[α-SMA])and HSC autophagy-related proteins(Beclin-1,P62,and LC3B);LysoTracker staining and immunofluorescence assay were used to measure the expression of LC3B autophagosomes;RT-PCR was used to measure the expression level of microRNA-30a-5p;bioinformatics techniques were used to predict the potential targets of microRNA-30a-5p in HSCs.The independent-samples t test was used for comparison of normally distributed continuous data between two groups;a one-way analysis of variance was used for comparison between multiple groups,and the least significant difference t-test was used for further comparison between two groups.Results After the cells were treated with oxaliplatin,RT-PCR results showed that the oxaliplatin treatment group had a significantly higher expression level of microRNA-30a-5p than the control group(P＜0.01);Western Blot showed that the oxaliplatin treatment group had significant reductions in the expression levels of the HSC activation-related proteins α-SMA and Collagen-Ⅰ and the autophagy-related proteins Beclin 1 and LC3BⅡ/Ⅰ(all P＜0.001);immunofluorescence assay showed that the oxaliplatin treatment group had a significantly lower number of autophagosomes than the control group(P＜0.05).After HSC-LX2 cells were transfected with microRNA-30a-5p mimic,compared with the control group,the microRNA-30a-5p mimic group had significant reductions in the expression levels of the autophagy-related proteins Beclin 1 and LC3BⅡ/Ⅰ(P＜0.05)and the HSC activation-related protein Collagen-Ⅰ(P＜0.001);after HSC-LX2 cells were transfected with microRNA-30a-5p inhibitor,Western Blot showed that compared with the control group,the microRNA-30a-5p inhibitor group had significant increases in the expression levels of the HSC activation-related proteins Collagen-Ⅰ and α-SMA and the autophagy-related protein Beclin 1(t=2.41,2.32,and 4.57,all P＜0.05).Western Blot showed that compared with the control group,the microRNA-30a-5p inhibitor group had significant increases in the expression levels of the HSC autophagy-related protein Beclin 1 and the HSC activation-related protein α-SMA(both P＜0.05),and after the treatment with the autophagy inhibitor 3-MA,there were no significant differences in the expression of these proteins between the two groups(P＞0.05).The bioinformatics analysis using TargetScan,PicTar,and miRanda databases showed that the autophagy-related protein Beclin-1 might be a potential target of miRNA-30a-5p.Conclusion Oxaliplatin can inhibit the activation of HSCs by upregulating the expression of microRNA-30a-5p,which provides new ideas and a new target for the treatment of liver fibrosis.

In recent years, with the rapid development of Chinese domestic surgical robot technology and the expansion of the application market, the "industry-university-research-medicine" collaborative innovation transformation mode has gradually developed and formed. Medical institutions play an important role in multi-party cooperation with enterprises, universities, and research institutes, as well as in product planning, technology research and development, achievement transformation, and personnel training. On the basis of reviewing the current situation of the development of the "industry-university-research-medicine" collaborative innovation transformation mode of domestic surgical robots, this study explores the multiple roles played by medical institutions in this mode and challenges, further putting forward corresponding recommendations.
Humans ; Robotics ; Universities ; Medicine ; Industry ; Technology

The Chinese Neonatal Network(CHNN) was established in 2018 with the mission of establishing a national collaboration platform, conducting high-quality and collaborative research, and ultimately improving the quality of neonatal-perinatal care and health in China.At present, 112 hospitals across the country have joined CHNN.CHNN has established a national standardized cohort of very premature infants/very low birth weight infants with >10 000 enrollments each year, has been leading data-driven collaborative quality improvement initiatives, conducting multicenter clinical studies, and performing multi-level training programs.Guided by the principles of collaboration and sharing, data-driven, continuous improvement, and international integration, CHNN has become an important platform for clinical and research collaboration in neonatal medicine in China.

Objective To explore the effects and influencing factors of traditional occupational health training on occupational health literacy (OHL) of employees in micro-, small- and medium-sized enterprises. Methods A total of 540 employees from 154 micro-, small- and medium-sized enterprises, who participated (347 employees) and not-participated (193 employees) in traditional occupational health training, and 171 community residents/students (not-participated in occupational health training) were selected as the research subjects using the convenient sampling method. The OHL level was investigated using Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level of employees was 43.3% (234/540). Among them, the overall OHL level of untrained and trained employees was 38.9% and 45.8%, respectively, and the overall OHL level of community residents/students was 43.3%. The results of multivariate logistic regression analysis showed that the higher the educational level, the higher the OHL level (all P<0.01). The OHL level of untrained and trained employees was higher than that of untrained community residents/students (all P<0.05). The interaction of education level and training status had no statistical difference on the OHL level of the research subjects (P>0.05). The results of factorial design analysis of variance showed that the overall OHL score rate of untrained employees and trained employees was higher than that of untrained community residents/students (all P<0.05). However, there was no significant difference in overall OHL score rate between untrained and trained employees (P>0.05). Conclusion The role of traditional occupational health training in improving the OHL level of employees in micro-, small- and medium-sized enterprises needs to be improved. The responsibility of enterprise occupational health training should be implemented, and multiple measures should be taken to enrich the ways and approaches of occupational health education for enterprise employees, to effectively improve the OHL of workers.

ObjectiveTo screen out the microRNAs (miRNAs) associated with the prognosis of hepatocellular carcinoma (HCC) through data mining of miRNA transcriptome data of HCC downloaded from The Cancer Genome Atlas (TCGA) database, to establish a miRNA risk score model, and to investigate its value in predicting the prognosis of HCC. MethodsThe miRNA expression data and clinical data of HCC samples were downloaded from TCGA database and R language was used to screen out differentially expressed miRNAs between HCC tissue and adjacent tissue, which were randomly divided into training set and testing set after being integrated into clinical data. Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis were performed for the training set to screen out the miRNAs associated with the prognosis of HCC, and then a miRNA risk score model was established. The Kaplan-Meier method was used to evaluate the robustness of the model and whether it could predict the prognosis of patients in the same clinical stage. Finally, the receiver operating characteristic (ROC) curve was plotted and the area under the ROC curve (AUC) was calculated to compare the predictive accuracy of the model versus TNM staging in the training set, the testing set, and the entire set. ResultsA total of 300 differentially expressed miRNAs were screened out and the LASSO Cox regression analysis revealed that hsa-miR-139-5p, hsa-miR-1180-3p, hsa-miR-1269b, hsa-miR-3680-3p, hsa-miR-509-3-5p, and hsa-miR-31-5p were associated with the prognosis of HCC. The risk score was calculated for each sample according to the established miRNA risk score model, and the samples were divided into high-risk group and low-risk group according to the median risk score. The Kaplan-Meier curve showed that in both training and testing sets, the high-risk group had a significantly lower survival rate than the low-risk group (P＜0.05). The ROC curve was used to evaluate the prediction efficiency of this model, and the results showed that in the training set, the testing set, and the entire set, the miRNA model had an AUC of 0.817, 0.808, and 0.814, respectively, while TNM staging had an AUC of 0.667, 0.665, and 0.663, respectively. The results of independent prognostic analysis also showed that this miRNA score model could be used as an independent prognostic factor for HCC (P＜0.05). ConclusionHsa-miR-139-5p, hsa-miR-1180-3p, hsa-miR-1269b, hsa-miR-3680-3p, hsa-miR-509-3-5p, and hsa-miR-31-5p are associated with the prognosis of HCC, and the miRNA risk score model has a better prediction accuracy than TNM staging in the training set, the testing set, and the entire set. The stratified analysis also shows that the model can predict the prognosis of patients within the same TNM stage, and therefore, it has a certain reference value in clinical practice and can be used as an independent model for predicting the prognosis of HCC patients.

Chronic liver diseases have various etiologies and often have poor long-term prognosis in clinical practice. Y-box binding protein-1 (YB-1) is a multifunctional protein, and in-depth studies in recent studies have found that it plays a key role in the development and progression of chronic liver diseases such as liver fibrosis and hepatocellular carcinoma (HCC). This article summarizes the role of YB-1 in chronic liver diseases such as liver fibrosis, HCC (proliferation, apoptosis, metastasis, prognosis, and drug resistance), and liver failure, so as to provide a theoretical basis for the diagnosis and treatment of chronic liver diseases.

The pathological basis of liver fibrosis is the deposition of extracellular matrix (ECM), and myofibroblasts are the main source of ECM. Epithelial-mesenchymal transition (EMT) is one of production mechanisms of myofibroblasts. At present, a large number of studies have shown that intervention of key EMT molecules and signaling pathways as targets can reduce liver fibrosis. Based on literature review, this article summarizes the signaling pathways associated with EMT, important regulatory molecules, and drugs targeting EMT in the treatment of liver fibrosis, so as to provide new ideas for the treatment of liver fibrosis.

Objective:To analyze and screen microRNA (miRNA) related to the prognosis of gastric cancer(GC) by bioinformatics analysis, and to construct and validate a risk score model.Methods:The human genome miRNA sequencing data and corresponding clinicopathological data of the 491 samples (446 GC tissue samples and 45 normal gastric tissue samples) were downloaded from the cancer genome atlas (TCGA) database. The differentially expressed microRNA (DEM) was analyzed with edgeR package of R 4.0.2 software and the obtained DEM’s profile was randomly divided into training set and test set according to the ratio of 1∶1. The miRNA related to prognosis were analyzed and screened with univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox regression analysis was further performed to analyze the screened prognostic-related miRNA and then the prognostic risk score model was constructed. Kaplan-Meier curve, receiver operating characteristic curve (ROC), and dynamic area under the ROC were drawn to evaluate the predictive power of the model.Results:A total of 175 DEM in GC tissues were screened out based on the cut-off criteria of |log2 Fold Change|>1.5 and P<0.01. Six DEMs related to the overall survival rate of patients with GC were screened out by univariate Cox regression and LASSO regression analysis, and then a five-miRNA risk score model was successfully constructed by multivariate Cox regression. The risk score=0.183×hsa-miRNA-184+ 0.086×hsa-miRNA-675-0.231×hsa-miRNA-2115+ 0.548×hsa-miRNA-3943-1.455×hsa-miRNA-1246. In the training set, test set and overall data set, the cumulative survival rates of the patients with higher risk score were lower than those of the patients with lower risk score, respectively, and the differences were statistically significant ( χ2=18.90, 9.50 and 26.70, all P<0.05). The prediction power of the model was better than that of TNM stage. And the results of stratified analysis showed the predictive ability of the model in patients with early GC. The results of univariate Cox regression and multivariate Cox regression demonstrated that the risk score of the model, gae and M stage were independent risk factors for poor prognosis in patients with GC (hazard ratio(95% confidence interval)1.19(1.07 to 1.32), 1.20(1.06 to 1.40), 1.50(1.01 to 2.23), 1.90(1.28 to 2.90), 1.34(1.15 to 1.57), 2.10(1.05 to 4.40); all P<0.05). Conclusion:The 5-miRNA risk score model based on 5 miRNAs which was an independent prognostic factor had high accuracy in predicting the prognosis of patients with GC.

CircRNA is a new endogenous non-coding RNA(ncRNA ) and a member of the competitive endogenous RNA(ceRNA) family. Some researches have found that circRNA exists widely in organisms and interacts with miRNA, which has certain influence on the occurrence and development of liver diseases. This article reviews the research progress of circRNA and its biological functions, as well as the relationship between circRNA and liver disease, in order to expound the role of circRNA in liver diseases and guide clinical practice better.