A validated UHPLC-MS/MS method for pharmacokinetic and brain distribution studies of twenty constituents in rat after oral administration of Jia-Wei-Qi-Fu-Yin.

A rapid ultra-high performance liquid chromatography coupled with triple quadrupole tandem mass spectrometry (UHPLC-QqQ MS/MS) approach with high sensitivity and selectivity was developed for the quantification of twenty compounds, including 9 saponins, 8 flavonoids, 2 oligosaccharide esters and 1 phenolic acid, in rat plasma and brain, which was administrated intragastrically with Jia-Wei-Qi-Fu-Yin (JWQFY), Mass spectrometric detection was operated under multiple reaction monitoring (MRM) mode. All calibration curves possessed good linearity with correlation coefficients ( r2) higher than 0.9916 in their respective linear ranges. For intra- and inter-day precision, all the relative standard deviations (RSDs) at different levels were less than 14.68 %. Based on the UHPLC-QqQ MS/MS quantitative results, pharmacokinetic study and brain distribution of multiple components in JWQFY was then successfully performed. As a result, constituents with discrepancy structures showed diverse pharmacokinetic and distribution characteristics. For instance, ferulic acid (phenolic acid), 3, 6'-disinapoyl sucrose and tenuifoliside A (oligosaccharide esters) showed short Tmax (< 10 min), whereas the Tmax of ginsenosides Rb1, Rb2 and Rc (ppd-type terpenoid saponins) were much longer (> 4 h). Besides, ferulic acid, epimedin C, icariin, glycyrrhizin, ginsenoside Rb1 and ginsenoside Rg1 were considered as the potential effective ingredients of JWQFY because of their relatively high exposure to blood and brain. Our study would provide relevant information for discovery of pharmacodynamic ingredients, as well as further action mechanisms investigations of JWQFY.

Comprehensive chemical profiling of Jia-Wei-Qi-Fu-Yin and its network pharmacology-based analysis on Alzheimer's disease.

Jia-Wei-Qi-Fu-Yin (JWQFY) is a newly developed anti-Alzheimer's disease (AD) prescription modified from a classical traditional Chinese medicine formula, Qi-Fu-Yin (QFY). However, a systematic understanding of its chemical constituents and molecular mechanisms is still elusive. To address this problem, comprehensive chemical profiling followed by network pharmacology-based analysis of JWQFY was performed. Firstly, a total of 136 compounds were characterized by high performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (HPLC-QTOF MS), 17 of them were specifically identified in JWQFY comparing with QFY. Seventy compounds were further quantified via a validated HPLC coupled with triple quadrupole tandem mass spectrometry (QQQ MS) method. Then the protein targets of the seventy compounds were gathered from public databases for network construction. As a result, fifty-seven compounds were filtered, which interacted with 655 targets. Thirty-four of them were mapped into the KEGG pathway of AD, indicating JWQFY might exert anti-AD effects by anti-inflammation, neuronal apoptosis intervening, Aß production inhibition and phosphorylating tau protein moderating. Furthermore, in the compound-target-AD network, a list of hub compounds and hub targets was identified based on their topological features, including the degree, node betweenness and closeness. Four of the hub compounds were specifically originated from JWQFY, supporting the modification rationality of this formula. This study provided a scientific basis for understanding the bioactive compounds and the multi-target mechanism of JWQFY.

A strategy for screening bioactive components from natural products based on two-dimensional cell membrane chromatography and component-knockout approach.

Cell membrane chromatography (CMC) is a bioaffinity chromatographic method used to screen active compounds from natural products. However, since the receptor capacity of CMC column is limited, high content/affinity compounds may cause column overloading and thus lead to ignorance of other positive candidates. For avoiding this effect and comprehensively discovering bioactive components, a strategy based on two-dimensional CMC and component-knockout approach was proposed. As an illustrative case study, red yeast rice (RYR), a rice product with good myocardial protective effect in clinical studies, was selected as the model experimental sample. For discovering its potential cardioprotective compounds, a CMC model with H9c2 rat cardiac myoblasts (H9c2/CMC) with good selectivity, stability and reproducibility was established. By using two-dimensional H9c2/CMC-HPLC coupled with QTOF MS system, three components were firstly screened out. After knocking out high content/affinity compound, another four bioactive compounds were then found. By this two-round screening, column overloading caused by high concentration or infinity compounds was avoided, and trace compounds were enriched. As a result, one pigment and six monacolins from RYR were fished out. The results indicate the proposed strategy might be used to discover active compounds from complex matrix.

Comprehensive chemical profiling of Yindan Xinnaotong soft capsule and its neuroprotective activity evaluation in vitro.

Discovering effective combinational components (ECCs) and quality control markers of TCMs is still facing challenges because the holistic healing system comprises hundreds of compounds. Here, taking Yindan Xinnaotong soft capsule (YDXNT), a TCMs preparation composed by 8 herbs, as a case, a strategy that integrated multiple chromatographic analysis and bioactivity assay was proposed for potential ECCs of neuroprotection discovery. Firstly, ultra-high performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UHPLC-QTOF MS) and gas chromatography-mass spectrometry (GC-MS) were applied for comprehensive profiling of the chemical constituents in YDXNT. Given the fact that the complex matrix interference makes it more difficult to identify potentially active compounds, we proposed a structure-diagnostic ions-oriented strategy to remove interference ions from the raw UHPLC-MS data. The proposed strategy consisted of different filtering methods, including diagnostic fragment ions filtering (DFIF), mass defect filtering (MDF) and neutral loss (NL). Using this strategy, a total of 124 compounds were rapidly identified. Among them, 62 non-volatile and 5 volatile constituents in 30 batches of YDXNT were quantified by UHPLC tandem triple quadrupole mass spectrometry (QQQ-MS) and GC-MS methods, respectively. In order to facilitate the quality control of YDXNT, candidate ECCs were selected based on the threshold setting of absolute -contents, and their neuroprotective effects were examined. Finally, a combination of 16 compounds, accounts for 2.80% (w/w) of original YDXNT, was identified as its potential ECCs, which could be considered for the improvement of quality standardization of YDXNT.