OBJECTIVE To explore the practice and application effect of lean Six Sigma （LSS） management in the cost- benefit management of PIVAS operation in a tertiary comprehensive hospital （hereinafter referred to as “S Hospital”）， providing reference for the operation and management of PIVAS in hospitals. METHODS The five steps （define， measure， analyze， improve and control， i.e. DMAIC） of LSS management were implemented for PIVAS operation cost-benefit of S Hospital， and lean management was implemented for its cost-benefit management elements （human resource cost， medical and health material cost， and all-in-one parenteral nutrition preparation income）. Several intervention measures including personnel training and performance assessment， refined management system of consumables， and doctor’s advice package of full parenteral nutrition were developed. Finally， the overall improvement effect was evaluated by the total benefit， total cost and net benefit of PIVAS. The effects of human resource allocation optimization and improvement were evaluated by the work efficiency， work quality， job satisfaction， turnover rate and accumulated rest days. The effects of consumables cost management were evaluated by the amount of medical and health materials cost. The improvement effects of all-in-one parenteral nutrition preparation income were evaluated by the profit amount， quantity and the proportion of single bottle of parenteral nutrition. RESULTS After implementing DMAIC in S Hospital， the total benefit of PIVAS was increased from （471 366.50±9 201.5） yuan/month to （479 679.50±14 320.14） yuan/month （P＞ 0.05）， the total cost was decreased from （305 878.88±3 201.75） yuan/month to （294 610.59±5 007.33） yuan/month （P＜0.05）， and the net benefit of PIVAS was increased by 11.83% compared with that before the improvement. The work efficiency， work quality and job satisfaction of employees were significantly improved， the accumulated rest days were significantly reduced， and the turnover rate of third-party employees was reduced from 15.0% before the improvement to 7.5% after the improvement. The cost of medical and health materials significantly decreased from （67 826.42±2 812.76） yuan/month before improvement to （56 384.33±4 607.67） yuan/month after improvement （P＜0.05）. The quantity of all-in-one parenteral nutrition was significantly increased from （1 263.75±135.83） group/month before improvement to （2 061.25±89.04） group/month after improvement （P＜0.05）， and the proportion of users of single bottle of parenteral nutrition in total users decreased from 93.25% before improvement to 58.75% after improvement. The profit of all-in-one parenteral nutrition was 63.18% higher than that before implementing DMAIC. CONCLUSIONS The implementation of PIVAS operation cost-benefit management based on DMAIC is conducive to strengthening the cost control of PIVAS and promoting the healthy development of PIVAS.

Traditional Chinese medicine （TCM） thinking serves as a comprehensive cognitive approach of TCM in recognizing and solving problem. It encompasses specific techniques （methods）and particular structures （patterns） in application. Its essential characteristics include the holistic view of "harmony between humanity and nature"， the dialectical perspective of "differences and similarities in disease treatment"， and the practical outlook of "unity of knowledge and action". The methods of TCM thinking emphasizes the integration of multiple cognitive approaches， forming various modes of thinking such as TCM holistic thinking， TCM four-dimensional thinking， TCM Xiang （象） and numerical thinking， and TCM clinical thinking. Currently， TCM faces both opportunities and challenges. TCM thinking plays a crucial role in the inheritance and innovation pathways of TCM， such as "cultivating medicine through culture"， "leading medicine through pharmaceutical practices"， "boosting industries with pharmaceuticals"， and "benefiting the people through industry". At the same time， integrating TCM and modern technology not only enriches the connotation of TCM thinking， but also advances the innovation of TCM theories， addressing challenges in complex disease treatment， health management， and preventive healthcare. This integration promotes the continued prosperity of the TCM and accelerates its internationalization.

BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Platycodonis Radix is the dry root of Platycodon grandiflorum of Campanulaceae, which has a variety of pharmacological effects and is a commonly used bulk Chinese medicine. In this study, the chloroplast genome sequences of six P. grandiflorum from different producing areas has been sequenced with Illumina HiSeq X Ten platform. The specific DNA barcodes were screened, and the germplasm resources and genetic diversity were analyzed according to the specific barcodes. The total length of the chloroplast genome of 6 P. grandiflorum samples was 172 260-172 275 bp, and all chloroplast genomes showed a typical circular tetrad structure and encoded 141 genes. The comparative genomics analysis and results of amplification efficiency demonstrated that trnG-UCC and ndhG_ndhF were the potential specific DNA barcodes for identification the germplasm resources of P. grandiflorum. A total of 305 P. grandiflorum samples were collected from 15 production areas in 9 provinces, for which the fragments of trnG-UCC and ndhG_ndhF were amplificated and the sequences were analyzed. The results showed that trnG-UCC and ndhG_ndhF have 5 and 11 mutation sites, respectively, and 5 and 7 haplotypes were identified, respectively. The combined analysis of the two sequences formed 13 haplotypes (named Hap1-Hap13), and Hap4 is the main genotype, followed by Hap1. The unique haplotypes possessed by the three producing areas can be used as DNA molecular tags in this area to distinguish from the germplasm resources of P. grandiflorum from other areas. The haplotype diversity, nucleotide diversity and genetic distance were 0.94, 4.79×10^-3 and 0.000 0-0.020 3, respectively, suggesting that the genetic diversity was abundant and intraspecific kinship was relatively close. This study laid a foundation for the identification of P. grandiflorum, the protection and utilization of germplasm resources, and molecular breeding.

Objective To compare the efficacy and safety of empagliflozin and linagliptin in the treatment of patients with type 2 diabetes mellitus(T2DM)with heart failure(HF).Methods Patients with T2DM and HF were randomly into control group and treatment group.Both groups were treated with individualized anti-HF and metformin-based hypoglycemic therapy.On this basis,the control group was given linagliptin orally(5 mg each time,once a day),while the treatment group was given oral administration of empagliflozin 10 mg every day.Patients in both groups were treated continuously for 6 months.The clinical efficacy and blood glucose indicators[fasting blood glucose(FBG),2 h postprandial blood glucose(2 h PBG),hemoglobin A1c(HbA1c)],cardiac molecular markers[N-terminal pro-brain natriuretic peptide(NT-proBNP),fibroblast growth factor 23(FGF23),copeptin(CPP)]and caridac function indicators[left ventricular end-diastolic diameter(LVEDD),left ventricular ejection fraction(LVEF),left ventricular remodeling index(LVRI)]before and after treatment were compared,and the adverse drug reactions were recorded.Results There were 40 cases in treatment group and 40 cases in control group.After treatment,the total effective rates in treatment group and control group were 97.50％(39 cases/40 cases)and 80.00％(32 cases/40 cases),with no significant difference(P＜0.05).The FBG levels in treatment group and control group were(7.64±1.18)and(7.83±1.24)mmol·L-1;2 h PBG levels were(8.97±1.46)and(9.04±1.35)mmol·L-1;HbA1c levels were(7.58±1.27)％and(7.65±1.42)％,all with no significant difference(all P＞0.05).The NT-proBNP levels in treatment group and control group were(612.53±204.62)and(1 045.24±316.75)pg·mL-1;FGF23 levels were(362.74±62.61)and(493.27±74.64)μg·L-1;CPP levels were(12.58±3.43)and(16.87±4.36)pmol·L-1;LVEDD values were(51.19±2.36)and(53.35±2.24)mm;LVEF values were(52.69±3.38)％and(50.28±3.75)％;LVRI values were(2.62±0.29)and(2.96±0.33)kg·L-1,all with significant difference(all P＜0.05).The incidence rates of adverse reactions in treatment group and control group were 5.00％(2 cases/40 cases)and 10.00％(4 cases/40 cases),with no significant difference(P＞0.05).Conclusion Both empagliflozin and linagliptin can effectively reduce the blood glucose in patients with T2DM complicated with HF.Empagliflozin can better promote the improvement of cardiac function in patients without significantly increase the incidence of adverse drug reactions.

Objective To investigate the effects of liver-specific knockout of adenosine 5'-monophosphate-activated protein kinase α(AMPKα)on pancreatic function and glucose metabolism-related genes in mice.Methods AMPKα1/α2flox/flox mice were divided into blank group(common feed)and model group(60％high fat choline deficiency feet)with eight mice in each group,and another 8 AMPKα1/α2flox/flox/Alb-Cre+mice were divided into the knockout group(60％high fat choline deficiency feet).The kit detected the levels of blood lipids and liver function indexes.The differential genes in the mouse pancreas were detected by transcriptome sequencing.The expression of differential genes in mice was detected by real-time fluorescence quantitative polymerase chain reaction and Western blotting.Results The levels of triglyceride in the blank group,model group and knockout group were(0.94±0.11),(0.71±0.14)and(1.05±0.17)mmol·L-1;the levels of triglyceride and high-density lipoprotein were(1.62±0.07),(0.44±0.08)and(0.90±0.06)mmol·L-1;the levels of glutamic oxaloacetic transaminase were(7.02±5.87),(15.60±3.15)and(22.70±2.14)U·L-1;the levels of glutamic pyruvic transaminase were(14.56±11.55),(48.64±15.84)and(75.40±11.96)U·L-1;the expression levels of phosphoenolpyruvate carboxykinase 1(PCK1)mRNA were 1.00±0,1.37±0.25 and 0.31±0.18;the relative expression levels of PCK1 protein were 0.77±0.27,1.23±0.43 and 0.51±0.40,respectively.Significant differences existed in the above indexes between the knockout group and the model group(all P＜0.05).Conclusion PCK1 gene may be an essential gene mediating the effect of liver AMPKα on islet function.

Objective To observe the effect of canagliflozin combined with enalapril on diabetic nephropathy(DN).Methods DN patients were randomly divided into control group and treatment group.All patients in 2 groups received basic treatment of recombinant human insulin injection,and the control group was orally administered enalapril tablet 10 mg(qd).The treatment group was given orally canagliflozin tablet 100 mg(qd)on the basis of the control group.Both groups were treated for 8 weeks.Renal function,blood glucose index,serum vascular endothelial growth factor(VEGF),transforming growth factor-β(TGF-β),homocysteine(HCY)levels,clinical efficacy and incidence of adverse drug reactions were compared between 2 groups.Results There were 71 cases were included in the control group and 73 cases in the treatment group.After treatment,β2 microglobulin(β2-MG)in treatment group and control group were(0.21±0.03)and(0.28±0.04)mg·L-1;blood urea nitrogen(BUN)were(4.23±0.42)and(5.58±0.65)mmol·L-1;serum creatinine(SCr)were(89.32±8.29)and(101.25±10.18)pmol·L-1;24 h microalbumin(mAlb)were(49.38±5.06)and(58.21±6.43)mg;glycosylated hemoglobin(HbA1c)were(6.10±0.11)％and(6.45±0.16)％;2 h postprandial blood glucose levels were(6.05±0.78)and(7.68±1.82)mmol·L-1;fasting blood glucose(FBG)were(5.02±0.32)and(5.67±0.65)mmol·L-1;VEGF levels were(350.18±20.04)and(389.04±24.16)pg·mL-1;TGF-β were(148.32±16.57)and(168.24±20.02)pg·mL-1;HCY were(13.12±2.38)and(19.35±3.21)pmol·L-1,the differences were statistically significant(all P＜0.05).After treatment,the total effective rate of treatment group and control group were 83.56％(61 cases/73 cases)and 67.61％(48 cases/71 cases),the difference was statistically significant(P＜0.05).The total incidence of adverse drug reactions in treatment group and control group were 6.85％and 4.23％,with no significant difference(P＞0.05).Conclusion Canagliflozin combined with enalapril is effective in the treatment of diabetic nephropathy,which can improve renal function,regulate blood glucose metabolism,and down-regulate serum VEGF,TGF-β and HCY levels,and is safe and reliable.