The Multivariate Regression Statistics Strategy to Investigate Content-Effect Correlation of Multiple Components in Traditional Chinese Medicine Based on a Partial Least Squares Method.

Amultivariate regression statisticstrategy was developed to clarify multi-components content-effect correlation ofpanaxginseng saponins extract and predict the pharmacological effect by components content. In example 1, firstly, we compared pharmacological effects between panax ginseng saponins extract and individual saponin combinations. Secondly, we examined the anti-platelet aggregation effect in seven different saponin combinations of ginsenoside Rb1, Rg1, Rh, Rd, Ra3 and notoginsenoside R1. Finally, the correlation between anti-platelet aggregation and the content of multiple components was analyzed by a partial least squares algorithm. In example 2, firstly, 18 common peaks were identified in ten different batches of panax ginseng saponins extracts from different origins. Then, we investigated the anti-myocardial ischemia reperfusion injury effects of the ten different panax ginseng saponins extracts. Finally, the correlation between the fingerprints and the cardioprotective effects was analyzed by a partial least squares algorithm. Both in example 1 and 2, the relationship between the components content and pharmacological effect was modeled well by the partial least squares regression equations. Importantly, the predicted effect curve was close to the observed data of dot marked on the partial least squares regression model. This study has given evidences that themulti-component content is a promising information for predicting the pharmacological effects of traditional Chinese medicine.

A robust LC-MS/MS method for the simultaneous determination of docetaxel and voriconazole in rat plasma and its application to pharmacokinetic studies.

Opportunistic fungal infections are common in immunocompromised cancer patients, especially patients undergoing chemotherapy. Because antitumor agents are possible to combine with antifungal agents in clinical, it is necessary to study drug-drug interaction between antitumor agents and antifungal agents. The aim of the study was to explore a method for the simultaneous determination of voriconazole and docetaxel in plasma and investigate pharmacokinetic interaction of voriconazole and docetaxel in rats. A precise and reliable method using liquid chromatography tandem mass spectrometry (LC-MS/MS) was established for the simultaneous measure of docetaxel and voriconazole in rat plasma after liquid-liquid extraction with ethyl acetate. The method was fully validated and successfully applied to a pharmacokinetic interaction study of docetaxel and voriconazole in rats after single or combined administration. We found that the AUC of each drug after coadministration increased compared with that after the single administration, which might be caused by interaction at the absorption stage or the competitive inhibition on the metabolic enzymes. This established method can be utilized to study the detailed mechanism of the drug-drug interaction and guide rational drug use in the clinic.