Research on the pharmacodynamics and mechanism of Fraxini Cortex on hyperuricemia based on the regulation of URAT1 and GLUT9.

Fraxini Cortex (also known as Qinpi, QP) has been used for the treatment of hyperuricemia with a significant difference on efficacy of QP from different regions. However, it`s still unknown whether proportion of components is the key and why same kind of herbs have different therapeutic effects. In this study, different sources of QP were collected from Shaanxi Qinpi extracts (SQPE), Henan Qinpi extracts (HQPE), Hebei Qinpi extracts (GQPE) provinces in China. Rat model of hyperuricemia with hypoxanthine combined with potassium oxonate were established to determine the levels of blood urea nitrogen (BUN), serum uric acid (SUA), urine uric acid (UUA) and creatinine (Cr). Hematoxylin-eosin staining (H&E) and Periodic Acid-Schiff staining (PAS) were performed for renal pathology while Western blot analysis and real-time PCR analysis for proteins and mRNA expression levels. High-performance liquid chromatograph (HPLC) was used for components and composition analysis. Our results demonstrated that QPE from different regions could alleviate hyperuricemia via increasing significantly the SCr and BUN levels whereas decreasing markedly UCr, SUA and UUA levels. Additionally, QPE could also improve the pathological changes of the kidneys. The protein and mRNA levels of urate reabsorption transporter 1 (URAT1) and glucose transporter 9 (GLUT9) were down-regulated by QPE treatment. SQPE hold a better activity on improving hyperuricemia and regulating URAT1 and GLUT9. HPLC analysis showed that the proportion of four components aesculin, aesculetin, fraxin, fraxetin were 9.002: 0.350: 8.980: 0.154 (SQPE); 0.526: 0.164: 7.938: 0.102 (HQPE); 12.022: 1.65: 0.878: 1.064 (GQPE). These data indicate that this proportion of effective components may be an important factor for efficacy of QP and had implications for the treatment of hyperuricemia.

An analysis on the present situation of post setting in CDCs of Zhejiang Province / 预防医学

Objective To analyze the present post setting situation of CDCs in Zhejiang Province, and to provide evidence for further improvement and standardization of post setting. Methods The data of post setting were collected by questionnaires from all levels of CDCs in Zhejiang Province. The compliance and rationality of post setting structure were evaluated by national and provincial normative policy documents. Results Ninety seven CDCs had implemented the post setting. Professional technical posts had the highest proportion (above 80%) among three kinds of posts. As the approved proportions of posts classification and professional titles were approved by the local government, there were differences between different levels of CDCs. The approved proportion of ground skilled posts and management posts between municipal and county CDCs had a relatively higher degree of dispersion, and the CVs of ground skilled posts and management posts of municipal CDCs were 72.3% and 65.6%, and the CVs of county CDCs were 101.6% and 82.1%. In terms of the approved professional titles structural proportion, the degree of dispersion appeared to be higher in senior titles and primary titles approved proportion of municipal CDCs (CV=29.1%, 28.5%), while the degree of dispersion was higher in senior titles and vice-senior titles of county CDCs (CV=58.9%, 21.8%) . Meanwhile, the approved proportions of senior titles in municipal and county CDCs were lower with the averages of 32.2% and 17.0%. The posts of infectious disease prevention and control and laboratory detection were accounting for the majority posts in municipal and county CDCs with average percentages of 47.8% and 45.1% . Conclusion The present situation of post structural proportion meets the relevant requirements generally. However, there are some phenomena of non-standard approved proportion of ground skilled posts and management posts and low senior titles approved proportion. Meanwhile, the percentage of infectious disease prevention and control and laboratory detection posts appears to be lower in county CDCs.