OBJECTIVE:To observe the changes of heart type fatty binding protein (H-FABP) and brain natriuretic peptide (BNP)when carvedilol and bisoprolol in the treatment of elderly patients with chronic heart failure(CHF). METHODS:110 CHF patients were randomly assigned into carvedilol group and bisoprolol group (n=55). Carvedilol group was given carvedilol 3.125 mg,bid,doubling dose every 2 weeks to reach target dose 25mg or maximum tolerant dose;bisoprolol group was given bisoprolol 1.25 mg,qd,doubling dose every 2 weeks to reach target dose 10 mg or maximum tolerant dose. Treatment course lasted for 6 months. Clinical effective rate of 2 groups were observed after treatment. Echocardiography was used to measure the changes of LVEDD,LVEF,SBP and DBP before and after treatment. The plasma concentration of BNP and H-FABP were measured by radio-immunoassay. RESULTS:After treatment,total effective rate of carvedilol group(96.4%)was higher than that of bisoprolol group (89.2%),with statistical significance(P<0.05). Compared with before treatment,the levels of LVEDD,LVEF,BNP,H-FABP, SBP and DBP in 2 groups were all decreased significantly after treatment,with statistical significance (P<0.01 or P<0.05). CON-CLUSIONS:Both carvedilol and bisoprolol can significantly improve cardiac function,but carvedilol efficacy is more significant. At the same time,significant decrease of H-FABP before and after treatment indicate that H-FABP can be used as a reliable index of heart failure treatment effect.

Objective Based on the Hood Policy Tool perspective on China's DIP policy text mining,word frequen-cy analysis and clustering analysis of the policy content,to explore the actual policy in each pilot region,to further analyze the reasons,to provide a scientific and reference for the subsequent policy adjustment and implementation.Methods Policies were included in this study from platforms such as local healthcare protection bureaus,local health-care commissions,local people's government portals,and NVivo,from which policy documents with a high degree of relevance to DIP were selected.NVivo 20.0 software was used for text coding,word frequency analysis,and analysis based on Hood's policy tool dimensions and regional distribution dimensions to further explore DIP policy specifics.Results A total of 27 policies were included,covering all pilot provinces,with a total of 1,707 policy codes.Authoritative,fiscal,informational,and organizational policy instruments accounted for 54.9％,20.3％,16.9％,and 7.9％,respectively.The percentage of coded reference points in the East,Central,West,and Northeast regions were 23.0％,20.2％,44.5％,and 8.7％,respectively.Conclusion The use of DIP policy tools in the pilot regions focused on authoritative tools and less on organization tools.Among the authoritative policy tools,the sub-tools of mechanism building were mostly used,while the sub-tools of standards and norms were less used.The focus of the policy tools varies among the pilot regions,and the use of policy tools should be tailored to the local context.

Objective:To analysis the policy tools and targets of the policies of free training for order-oriented medical students in rural areas of China, for reference for further improving the free medical student training policy.Methods:The research team searched the official websites of the State Council, National Health Commission, Ministry of Education, and other ministries, as well as the Peking University Treasure Database, for national level policy documents related to free training of order-oriented medical students released from June 2010 to May 2023. Policy tool-policy target analysis framework was used to quantitative analysis the policy documents.Results:A total of 16 policy documents were included and 213 policy provisions were extracted. From the perspective of policy tools, the proportion of policy provisions using imperative policy tools was the highest, accounting for 63.38% (135 articles), followed by advisory policy tools(18.78%, 40 articles)and reward based policy tools(13.61%, 29 articles), while functional expansion tools(2.82%, 6 articles) and authoritative restructuring tools(1.41%, 3 articles) accounted for a relatively low proportion. The institutional education stage is the main policy target, with provisions accounting for 76.06% (162 articles), followed by the continuing education stage and the post graduation education stage, accounting for 17.84% (38 articles) and 7.51% (16 articles), respectively. It was uneven distribution of various policy tools and their sub tools within the same policy target.Conclusions:The distribution of policy tools for the free training policy of rural order oriented medical students in China needed to be further balanced. The policy targets were mainly concentrated in the education stage of universities.

OBJECTIVE: To analyze the effects of alterations in the expressions of methyltransferase on protein expression profiles in human nasopharyngeal carcinoma (NPC) cells and enrich the differential signaling pathways. METHODS: The total protein was extracted from -knockout cell line CNE1 and the wild-type cell line CNE1, and the differentially expressed proteins were screened by tandem mass tag (TMT) labeled protein quantification technique and tandem mass spectrometry. GO analysis was used to annotate and enrich the differentially expressed proteins, and the KEGG database was used to enrich and analyze the pathways of the differential proteins. RESULTS: With a fold change (FC)≥1.2 and < 0.05 as the screening standard, 2049 differentially expressed proteins were identified in CNE1 cells, among which 904 were up-regulated and 1145 were down-regulated. GO functional annotation results indicated that knockout caused characteristic changes in multiple biological processes (cell processes and regulation, cell movement, metabolic processes, and biosynthesis of cellular components), molecular functions (catalytic activity and molecular binding, transcription factor activity), and cellular components (cell membrane, organelle, macromolecular complex). KEGG analysis showed that the differentially expressed proteins were involved in an array of signaling pathways closely related to tumors, including MAPK, PI3K-Akt, Ras, Rap1, mTOR, Hippo, HIF-1, Wnt, AMPK, FoxO, ErbB, P53 and JAK-STAT. CONCLUSIONS knockout significantly changes the protein expression characteristics of NPC cells and affects a number of signal pathways closely related to tumors. The results provide evidence for investigation of the pathogenesis and therapeutic target screening of NPC.