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China Pharmacy ; (12): 2743-2747, 2021.
Article in Chinese | WPRIM | ID: wpr-904777


OBJECTIVE:To establish the method for the content determination of 7 components,such as puerarin , 3′-methoxypuerarin,daidzein,rutin,hesperidin,salvianolic acid A and quercetin ,in Zhengxin jiangzhi tablets ,and conduct cluster heatmap analysis. METHODS :HPLC method was adopted. The separation was performed on Kromasil C 18 column with mobile phase consisted of acetonitrile- 0.1% formic acid solution (gradient elution )at the flow rate of 0.8 mL/min. The detection wavelength was set at 280 nm,and the column temperature was 25 ℃. The sample size was 10 μL. Taking the content data as the object,the cluster heatmap was drawn by Hiplot scientific research mapping platform. RESULTS :The linear range of puerarin , 3′-methoxypuerarin,daidzein,rutin,hesperidin,salvianolic acid A and quercetin were 17.00-170.00(r=0.999 9),5.14-51.40(r= 0.999 8),3.00-30.00(r=0.999 8),153.00-1 530.00(r=0.999 9),7.88-78.75(r=0.999 8),2.85-28.50(r=0.999 9)and 11.34-113.40 μg/mL(r=0.999 8),respectively. RSDs of precision ,stability(24 h)and repeatability tests were all less than 2%; the average recoveries were 99.58%(RSD=0.83%,n=6),100.31%(RSD=1.17%,n=6),100.61%(RSD=1.08%,n=6), 100.05%(RSD=0.82%,n=6),100.31%(RSD=1.38%,n=6),100.31%(RSD=0.85%,n=6),99.85%(RSD=1.01%, n=6),respectively. The contents of above components in 10 batches of samples were 7.262 5-8.941 5,2.464 9-3.068 9,1.478 9- 1.883 4,58.632 8-79.408 3,3.569 4-4.500 6,1.077 6-1.341 5,1.139 7-5.957 0 mg/g,respectively. Results of cluster heatmap analysis showed that 10 batches of samples could be divided into 4 categories,including S 1-S3 as one category ,S4 as one category,S5-S6 as one category and S 7-S10 as one category. CONCLUSIONS :The established method is simple ,accurate and specific,which can be used for the quality control of Zhengxin jiangzhi tablets ,combined with cluster heatmap analysis. There are some differences in the quality of different batches of samples.

Article in Chinese | WPRIM | ID: wpr-790235


Although compatibility is highly advocated in traditional Chinese medicine (TCM), inappropriate com-bination of some herbs may reduce the therapeutic action and even produce toxic effects. Kansui and licorice, one of TCM"Eighteen Incompatible Medicaments", are the most representative cases of improper herbal combination, which may still be applied simultaneously under given conditions. However, the potential mechanism of their compatibility and incompatibility is unclear. In the present study, two different ratios of kansui and licorice, representing their compatibility and incompatibility respectively, were designed to elucidate their interaction by comparative plasma/tissue metabolomics and a heatmap with relative fold change. As a result, glycocholic acid, prostaglandin F2a, dihydroceramide and sphin-ganine were screened out as the principal alternative biomarkers of compatibility group; sphinganine, dihydroceramide, arachidonic acid, leukotriene B4, acetoacetic acid and linoleic acid were those of in-compatibility group. Based on the values of biomarkers in each tissue, the liver was identified as the compatible target organ, while the heart, liver, and kidney were the incompatible target organs. Furthermore, important pathways for compatibility and incompatibility were also constructed. These results help us to better understand and utilize the two herbs, and the study was the first to reveal some innate characters of herbs related to TCM"Eighteen Incompatible Medicaments".

Genomics & Informatics ; : 263-265, 2012.
Article in English | WPRIM | ID: wpr-11754


We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering results can be interactively visualized and optimized on a heatmap. The present tool does not require any prior knowledge of scripting languages to carry out the data clustering and visualization. Furthermore, the heatmaps allow the selective display of data points satisfying user-defined criteria. For example, a clustered heatmap of experimental values can be differentially visualized based on statistical values, such as p-values. Including diverse menu-based display options, QCanvas provides a convenient graphical user interface for pattern analysis and visualization with high-quality graphics.

DNA , Genomics , Protein Array Analysis