Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
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Zhongguo Zhong Yao Za Zhi · May 2015
[Quantitative and qualitative evaluation on tablets of Ginkgo biloba leaves using fingerprint and LC-MS analysis].
A reasonable method for the quality control of tablets of Ginkgo biloba leaves was established in this paper. The total flavonol glycosides and terpene lactones of G. biloba tablets were quantified by HPLC. Totally, 16 batches of the commercially available tablets of G. biloba leaves were determined. ⋯ Sixteen batches showed the similarity of 0.763-0.989. There were 31 fingerprint chromatogram peaks were identified as flavonoids compositions by LC-MS. This provides a research idea for the quality control of tablets of G. biloba leaves.
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Zhongguo Zhong Yao Za Zhi · Apr 2015
[Study on compatibility of Salviae Miltiorrhizae Radix et Rhizoma and Chuanxiong Rhizoma based on pharmacokinetics of effective components salvianolic acid B and ferulic acid in rat plasma].
A study was made on the pharmacokinetic regularity of effective components salvianolic acid B and ferulic acid in Salviae Miltiorrhizae Radix et Rhizoma (SMRR) and Chuanxiong Rhizoma(CR) in rats, so as to discuss the compatibility mechanism of Salviae Miltiorrhizae Radix et Rhizoma and Chuanxiong Rhizoma. Rats were randomly divided into three groups and intravenously injected with 50 mg x kg(-1) salvianolic acid B for the single SMRR extracts group, 0.5 mg x kg(-1) ferulic acid for the single CR extracts group and 50 mg x kg(-1) salvianolic acid B + 0.5 mg x kg(-1) ferulic acid for the SMRR and CR combination group. The blood samples were collected at different time points and purified by liquid-liquid extraction with ethyl acetate. ⋯ The UPLC analysis method was adopted to determine salvianolic acid B and ferulic acid in rat plasma, including linear equation, stability, repeatability, precision and recovery. The established sample processing and analysis methods were stable and reliable, with significant differences in major pharmacokinetic parameters, e.g., area under the curve (AUC), mean residence time (MRT) and terminal half-life (t(1/2)). According to the experimental results, the combined application of SMRR and CR can significantly impact the pharmacokinetic process of their effective components in rats and promote the wide distribution, shorten the action time and prolong the in vivo action time of salvianolic acid B and increase the blood drug concentration and accelerate the clearance of ferulic acid in vivo.
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Zhongguo Zhong Yao Za Zhi · Apr 2015
Multicenter Study Clinical Trial[Predictive analysis on Shenmai injection-induced adverse reactions with Logistic model and ROC curve].
To study relevant risk factors of Shenmai injection induced adverse reactions by using Logistic model and ROC curve, and made the prediction for the occurrence of relevant adverse reactions/events. Case data of patients treated with Shenmai injection were collected by using the prospective, multi-center, large-sample, nested-case control method, in order to analyze the risk factors of Shenmai injection-induced adverse reactions/events, establish the logistic model and draw the receiver operating characteristic (ROC) curve for risk factors. During the study, 7632 patients (including 3 477 males and 4 155 females) were included, and eight of them suffered adverse reactions/events. ⋯ According to the results, ROC curves were drawn with age (> or = 50 years), the total number of days of inedication and single dose; The area under ROC curves the joint predictor (0.9753, 95% CI: 0.9443-1.000, P < 0.005) was larger than that of the other three single indexes, with a higher risk prediction value. The independent risk factors for Shenmai injection-induced adverse reactions/events included the age (> or = 50 years), the total number of days of medication and single dose. In clinical practice, the age (> or = 50 years), the total number of days of medication and the medication dose can be substituted in the joint predictor calculation formula (P = 1 / [1 + e(-(-21.58 + 5.061 x Xage - 1.020 x Xd + 0.245 x X(mL)] to predict the potential adverse reactions of patients and adjust the dosage regimen.
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Zhongguo Zhong Yao Za Zhi · Apr 2015
Biography Historical Article[Study on professor Yan Zhenghua's medication regularity in treating heart diseases based on association rules and entropy cluster].
In this study, Professor Yan Zhenghua's recipes for treating heart diseases were collected to determine the frequency and association rules among drugs by such data mining methods as apriori algorithm and complex system entropy cluster and summarize Pro- fessor Yan Zhenghua's medication experience in treating heart diseases. The results indicated that frequently used drugs included Salviae Miltiorrhizae Radix et Rhizoma, Parched Ziziphi Spinosae Semen, Polygoni Multiflori Caulis, Ostreae Concha, Poria; frequently used drug combinations included "Ostreae Concha, Draconis Os", "Polygoni Multiflori Caulis, Parched Ziziphi Spinosae Semen" , and "Salviae Miltiorrhizae Radix et Rhizoma, Parched Ziziphi Spinosae Semen". The drug combinations with the confidence of 1 included "Dalbergiae Odoriferae Lignum-->Salviae Miltiorrhizae Radix et Rhizoma", "Allii Macrostemonis Bulbus-->Parched Ziziphi Spinosae Semen", "Draconis Os-->Ostreae Concha", and "Salviae Miltiorrhizac Radix et Rhizoma, Draconis Os-->Ostreae Concha". The core drug combinations included" Chrysanthemi Flos-Gastrodiae Rhizoma-Tribuli Fructus", "Dipsaci Radix-Taxillus sutchuenensis-Achyranthis Bidentatae Radix", and "Margaritifera Concha-Polygoni Multiflori Caulis-Platycladi Semen-Draconis Os".
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Zhongguo Zhong Yao Za Zhi · Apr 2015
[Enlightenment of adverse reaction monitoring on safety evaluation of traditional Chinese medicines].
The adverse reaction monitoring is important in warning the risks of traditional Chinese medicines at an early stage, finding potential quality problems and ensuring the safe clinical medication. In the study, efforts were made to investigate the risk signal mining techniques in line with the characteristics of traditional Chinese medicines, particularly the complexity in component, processing, compatibility, preparation and clinical medication, find early risk signals of traditional Chinese medicines and establish a traditional Chinese medicine safety evaluation system based on adverse reaction risk signals, in order to improve the target studies on traditional Chinese medicine safety, effective and timely control risks and solve the existing frequent safety issue in traditional Chinese medicines.