Qualitative and quantitative analysis of phenolic acid glycosides in Ginkgo biloba L. leaf, G. biloba leaf extract and its injection.

Ginkgo biloba L. leaf (GBL) is one of the most commonly used medicinal plants in the world. Phenolic acids with biological activities have a relatively high content in G. biloba leaf extracts (GBE); therefore they are of great significance for the quality control of GBL, GBE and its preparations. However, there have been few studies focused on their analysis. In this work, 12 phenolic acids, including 11 phenolic acid glycosides, were identified by liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS). Then, a method combining enzymolysis with HPLC was established for quantification of phenolic acid glycosides. It was found that the aglycones of phenolic acid glycosides mainly comprised five phenolic acids: 2,4,6-trihydroxybenzoic acid, protocatechuic acid, p-hydroxybenzoic acid, vanillic acid and p-coumaric acid. The quantitative method was validated, and the correlation coefficient (0.9993-0.9999), recovery (≥88.4%), repeatability (≤0.8%), and inter-day precision (≤5.5%) were satisfactory. Finally, the contents of glycosides of five phenolic acids in GBL, GBE and GBE injection from different sources were determined by the developed method. The method was accurate, repeatable and practicable, which could be helpful for the quantification of phenolic acid glycosides in other products containing GBL or GBE.

[Analysis of chemical constituents in Shenmai Injection by LC-Q-TOF-MS and LC-IT-MS].

The chemical constituents in Shenmai Injection(SMI) were qualitatively analyzed by using liquid chromatography/quadrupole time-of-flight mass spectrometry(LC-Q-TOF-MS) and liquid chromatography-ion trap-mass spectrometry(LC-IT-MS). The analysis was performed on an Agilent Zorbax SB-C_(18)(4.6 mm×250 mm, 5 µm) and gradient elution was carried out with 0.05% formic acid solution-acetonitrile as mobile phase at a flow rate of 0.6 mL·min~(-1) and a column temperature of 30 ℃. Mass spectrometry data of the components in SMI were collected in negative ion mode. The structures of components were speculated and identified by analyzing mass spectrometry data, comparing with standards, and referring to related literature. A total of 64 components in SMI were estimated, and the structures were confirmed in 16 of them by comparison with standards. Fifty-six compounds derived from Ginseng Radix et Rhizoma Rubra included 34 protopanaxadiol ginsenosides, 19 protopanaxatriol ginsenosides, 1 oleanane ginsenosides and 2 other glycosides. Eight compounds derived from Ophiopogonis Radix included 7 steroidal saponins, and 1 monoterpene glycoside. The results of this study would provide an important theoretical basis for the improvement of the quality control standards and the discovery of effective constituents in SMI.

A strategy for identifying effective and risk compounds of botanical drugs with LC-QTOF-MS and network analysis: A case study of Ginkgo biloba preparation.

Botanical drugs have unique advantages in the treatment of complex diseases. In order to ensure the efficacy and safety of botanical drugs, ascertaining the effective and risk compounds is quite necessary. However, the conventional identification method is laborious, time-consuming, and inefficient. In this work, a 3-steps strategy was presented to rapidly identify the effective and risk compounds of botanical drugs, and a Ginkgo biloba preparation, Shu-Xue-Ning injection (SXNI), was taken as a case study. Firstly, mass spectral molecular networking was used to rapidly identify the compounds of SXNI. Secondly, three networks (i.e. the compound-target network, the indication-related biomolecule network, and the adverse drug reaction-related biomolecule network) are constructed. Finally, a novel network analysis algorithm was used to predict the effective and risk compounds in SXNI. By this strategy, a total of 138 compounds were identified including the firstly reported terpenoid glycosides and lignan glycosides. Among them 71 compounds were predicted as effective ones, and 42 compounds as risk ones. Especially, 31 compounds relevant to both efficacy and safety should be scientifically controlled during manufacturing. In addition, ten pathways were enriched to preliminarily explain the action mechanism of SXNI. This strategy for MS data analysis can be applied to provide important basis for the manufacturing and quality control, as well as valuable points for research on the pharmacological mechanisms of botanical drugs.

Pharmacokinetics, tissue distribution and excretion of saponins after intravenous administration of ShenMai Injection in rats.

ShenMai Injection (SMI) is a traditional Chinese medicine that has been extensively applied in the treatment of coronary artery disease and tumor for many years. However, there is still lack of deep research on the behaviors of SMI in vivo. In this study, a reliable, specific, and sensitive method was developed for simultaneous determination of sixteen saponins found in SMI using liquid chromatography tandem mass spectrometry (LC-MS/MS). This method was successfully applied to investigate the pharmacokinetics, tissue distribution and excretion of sixteen active compounds after a single intravenous administration of SMI. These compounds included seven protopapaxdiol (PPD-type) ginsenosides (ginsenosides Rb1, Rb2, Rb3, Rc, Rd, S-Rg3, R-Rg3), six protopapaxtriol (PPT-type) ginsenosides (notoginsenoside R1, ginsenosides Re, Rf, Rg1, S-Rg2, R-Rg2), one oleanolic acid type ginsenoside (ginsenoside Ro) and two ophiopogonins (ophiopogonin D (MD-D) and ophiopogonin D' (MD-D')). Connection of the C-20 hydroxyl group to the glycoside and the chiral configuration of C-20 might significantly impact the pharmacokinetic behaviors in vivo of ginsenosides, particularly PPD-type ginsenosides. PPD-type ginsenosides were usually eliminated slowly in serum and tissues, but S/R-Rg3 bearing a free hydroxyl group at C-20 exhibited quick elimination, and R-Rg3 underwent quicker elimination than S-Rg3. The PPT-type ginsenosides, oleanolic acid type ginsenoside and ophiopogonins underwent a fast elimination from serum and tissues. There were 10 ginsenosides that could penetrate the blood-brain barrier. In contrast to other saponins, the distributions of S-Rg2, R-Rg2, S-Rg3, R-Rg3, MD-D and MD-D' in liver were higher than in kidney. Several PPD-type ginsenosides were found to have a long-term accumulation risk in some tissues, especially Rd in kidney. In the excretion study, Rg1, S-Rg2 and MD-D were mainly excreted in a prototype and other saponins were mainly excreted in the form of metabolites. Prototypes of S-Rg2, R-Rg2, S-Rg3, R-Rg3, MD-D and MD-D' exhibited higher distribution in the liver than kidney, were excreted mainly in the feces, whereas prototypes of the remaining saponins were primarily excreted via urine. To best our knowledge, this is the first study to quantitatively evaluate the tissue distribution and excretion of SMI in rats. Our research provides novel insight into the behaviors in vivo of PPD-type ginsenosides and delivers valuable information for further drug development of SMI.

Rapid discovery and identification of the anti-inflammatory constituents in Zhi-Shi-Zhi-Zi-Chi-Tang.

The anti-inflammatory active ingredients of Zhi-Shi-Zhi-Zi-Chi-Tang (ZSZZCT), a traditional Chinese medicine formula, were predicted and identified using an approach based on activity index, LC-MS, semi-preparative LC and NMR. Firstly, the whole extract of ZSZZCT was analyzed using liquid chromatography-quadrupole time of flight-mass spectrometry (LC-Q-TOF-MS) and liquid chromatography - ion trap mass spectrometry (LC-IT-MS), 79 constituents were detected and 39 constituents were identified unambiguously or tentatively. Subsequently, the whole extract of the formula was separated into multiple components and the activity index method was used to calculate index values of the 79 constituents by integrating the chemical and pharmacological information of multiple components. Four polymethoxyl flavones were predicted as the major active constituents according to the activity index values. Furthermore, three polymethoxyl flavones were prepared using the strategy with semi-preparative LC guided by LC-MS, and their anti-inflammatory activities were validated. The results show that three polymethoxyl flavones with higher positive index values, i.e., 3, 5, 6, 7, 8, 3', 4'-heptamethoxyflavone, 3-hydroxynobiletein and tangeretin had significant anti-inflammatory effects. In conclusion, the predicted results indicated that the activity index method is feasible for the accurate prediction of active constituents in TCM formulae.