Objective. In a model of rat cardiac hypertrophy, the changes in the distribution of ET-1 receptors in two subcellular fractions, the sarcolemma and the light vesicles during myocardial hypertrophy were studied. Methods. Cardiac hypertrophy was produced by placing a constricting clip around the suprarenal abdominal aorta of rats, and ET-1 receptor was assayed with radioactive analysis method. Results. It was found that plasma and ventricular ET-1 levels increased significantly on week 2 and week 4 of pressure overload. ET-1 binding studies showed that during myocardial hypertrophy, the maximum binding capacity (Bmax) was increased by 41％ (P<0.01) and 65％ (P< 0.01) in sarcolemma in H-2 week and H-4 week groups, but was decreased by 24％ (P< 0.01) and 21％ (P< 0.01) in light vesicles. The sum of Bmax of sarcolemmal and light vesicle fractions was increased by 33％ (P< 0.01) and 57％ (P< 0.01) in group H-2 week and H-4 week, respectively. ? Conclusion. ET-1 receptors in rat heart were externalized from light vesicles to sarcolemma, which may contribute to the development of myocardial hypertrophy.

Objective? To investigate the occurrence and influencing factors of falls in elderly patients with knee osteoarthritis (KOA), and provide scientific reference for the prevention of falls in elderly patients with KOA. Methods? Using convenience sampling method, 104 elderly patients diagnosed as KOA in orthopaedic wards of four ClassⅢ Grade A hospitals in Hangzhou from November 2017 to August 2018 were selected as subjects. General Information Questionnaire, Morse Fall Scale(MFS)and the Barthel Index(BI)for Activities of Daily Living (ADL) were applied in the investigation. Single factor analysis and multiple factor Logistic regression were used to analyze the influencing factors of falls in elderly KOA patients. Results? A total of 104 questionnaires were sent out in this study, and 95 valid questionnaires were recovered, yielding an effective recovery rate of 91.35%. The incidence of falls in elderly KOA patients was 45.26% (43/95), of which 62.79% (27/43) had fallen twice or more. There were significant differences in knee injury history, staircase climbing and falls among elderly KOA patients (P＜ 0.05). There were significant differences in the risk of falls between elderly KOA patients in "whether taking drugs", "whether using walking aids", "status of self-care ability", and "age" (P＜ 0.05). Logistic regression analysis showed that history of knee injury, frequent staircase climbing and use of walking aids were the influencing factors of falls in elderly KOA patients (OR=4.028, 25.569, 3.191; P＜ 0.05). Conclusions? In view of the influencing factors of falls in elderly KOA patients, individualized nursing measures should be taken to strengthen falls risk assessment, carry out fall prevention related education and improve patients' social support, which will help to reduce the incidence of falls and further improve patients' quality of life.

Objective:To analyze and explore the possible mechanism of anti-tumor metastasis of Notoginseng Radix et Rhizoma using Internet pharmacology. Methods:The active components and targets of Notoginseng Radix et Rhizoma were screened by retrieving Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP). GeneCards database was used to screen the anti-tumor metastasis-related targets, and compounds and disease targets were under mapping analysis. Key targets of Notoginseng Radix et Rhizoma for anti-tumor metastasis were screened through Venn map. With the help of Cytoscape 3.7.2 software, a compound-disease network diagram was constructed. String platform was used to build a PPI network. Bioconductor was used to enrich the target genes for KEGG signaling pathway and GO biological process analysis. Results:Totally 119 active components were selected from Notoginseng Radix et Rhizoma. There were 8 eligible active components, corresponding to 162 related targets, 121 targets related to anti-tumor metastasis, and 30 key targets screened by PPI network, including AKT1, MAPK1, JUN, RELA, IL6, etc. GO enrichment analysis mainly involved biological processes such as cytokine receptor binding, heme binding, RNA polymerase Ⅱ transcription factor binding, ubiquitin protein ligase binding, and steroid hormone receptor activity. 149 signal pathways related to Notoginseng Radix et Rhizoma anti-tumor metastasis were obtained by KEGG enrichment analysis, mainly involving multiple signal pathways, such as AGE-RAGE and PI3K-Akt, and hepatitis B, Kaposi's sarcoma-associated herpes virus infection, human cytomegalovirus infection and other viral infections and various tumors. Conclusion:Notoginseng Radix et Rhizoma can pass multiple active components, such as ginsenoside f2, ginsenoside rh2 β-, sitosterol, stigmasterol and quercetin, and multiple targets, such as AKT1, MAPK1, JUN, RELA and IL6, acting on multiple pathways such as PI3K-Akt, thereby playing the role of anti-tumor metastasis.