Dioscin chemical compositions are the main effective components in clinical commonly used Chinese medicines such as Diaoxinxuekang capsules and Xinnaoshutong capsules etc , which show distinct curative effect on cardiovascular and cerebrovascular diseases.Meanwhile, they are the important raw materials for the synthesis of steroid hormone drugs .The studies on the extraction technology exhibit important significance in the exploration of pharmacological activities of the components , which also are the external requirements for the growing demand of steroid hormone drugs market .In this paper , the relatively mature extraction methods re-searched in recent years were summarized ,and the advantages and disadvantages of the different processes were discussed in order to provide reference for the further studies and application .

Objective: To optimize the alcohol concentration for Jinyin Qingre oral liquids extracted by semi-bionic extraction (SBE). Methods:Using proportional division method to set up 5 alcohol concentration 30%,55%,61. 25%,67. 5%,80% for the ex-periment . The dried extract yield and the contents of chlorogenic acid ,geniposide,salviandic acid B and total phenolic acid were set up as indexes which were standardized as the comprehensive evaluation value ( Y) ,using the weighting coefficient had been set. Choosing the appropriate concentration by comparing the value of Y. Results:The order of comprehensive evaluation value was as follows:30%>61. 25% >55% >80% >67. 5%. Conclusion:Combining the clarity of the oral liquids, the best alcohol concentration in SBE for Jinyin Qingre oral liquids is 61. 25%.

Background: Diabetes can complicate hypertension management by increasing the risk of cardiovascular disease (CVD) and all-cause mortality. Studies targeting diabetes detection in hypertensive individuals demonstrating an increased risk of diabetes are lacking.We aimed to assess the performance of hemoglobin A1c (HbA1c) and its cut-off point in detecting diabetes in the abovementioned population. Methods: Data from 4,096 community-dwellers with hypertension but without known diabetes were obtained from the Study on Evaluation of iNnovated Screening tools and determInation of optimal diagnostic cut-off points for type 2 diaBetes in Chinese muLti-Ethnic (SENSIBLE) study; these data were randomly split into exploration (70% of the sample) and internal validation (the remaining 30%) datasets. The optimal HbA1c cut-off point was derived from the exploration dataset and externally validated using another dataset from 2,431 hypertensive individuals. The oral glucose tolerance test was considered the goldstandard for confirming diabetes. Results: The areas under the ROC curves for HbA1c to detect diabetes were 0.842, 0.832, and 0.829 for the exploration, internal validation, and external validation datasets, respectively. An optimal HbA1c cut-off point of 5.8% (40 mmol/mol) yielded a sensitivity of 76.2% and a specificity of 74.5%. Individuals who were not diagnosed as having diabetes by HbA1c at 5.8% (40 mmol/mol) had a lower 10-year CVD risk score than those diagnosed as having diabetes (P = 0.01). HbA1c ≤ 5.1% (32 mmol/mol) and ≥ 6.4% (46 mmol/mol) could indicate the absence and presence of diabetes, respectively. Conclusions HbA1c could detect diabetes effectively in community-dwellers with hypertension.