Experimental validation for mechanisms of Qizhiweitong particles against Chronic Non-atrophic gastritis based on metabolomics and network pharmacology.

Qizhiweitong particles (QZWT), a classic Chinese herbal prescription derived from the Sinisan decoction in Shang Han Za Bing Lun, has definitive clinical efficacy in treating Chronic Non-atrophic Gastritis (CNG) in China. However, its mechanism of action at the metabolic level remains unclear. The aim of this study was to explore the mechanisms of QZWT against CNG based on non-targeted metabolomics combined with network pharmacology and experimentally validated by enzyme linked immunosorbent assays (ELISA). First, CNG model rats were established by free drinking ammonia water combined with starvation and satiety disorder for 12 weeks. Taking gastric tissue as the object, ultra-high performance liquid chromatography tandem mass spectrometry based metabolomics and network pharmacology were conducted to identify the key compounds, core targets and pathways that mediate the effects of QZWT against CNG. Furthermore, the targets from network pharmacology and the metabolites from metabolomics were jointly analyzed to select crucial metabolism pathways by MetaScape. Finally, the key metabolic enzymes and metabolites were experimentally validated by ELISA. The results indicated that there were 29 differential metabolites were identified and considered to be metabolic biomarkers of QZWT in the treatment of CNG. Among them, 8 of the differential metabolites showed a significant reduction in the content of QZWT groups. Arachidonic acid (AA) metabolic and glycerophospholipid (GP) metabolic are the most crucial metabolic pathways for QZWT to treat CNG. QZWT regulated AA and GP metabolism by synergetic reducing the level of AA, Phospholipid acid and Lysophosphatidic acid and inhibiting the enzyme activity of prostaglandin endoperoxide synthase 1 and prostaglandin endoperoxide synthase 2. And a compound-reaction-enzyme-gene network of mechanism for QZWT against CNG was established. In conclusion, this study reveals the complicated mechanisms of QZWT against CNG. Our work presents a novel strategy to identify the potential mechanisms of pharmacological effects derived from a compound prescription of TCM.

Computational method for rapid screening of the metabolites of Pulsatilla chinensis in rats using UHPLC-Q-TOF/MS combined with mass spectrum-based orthogonal projection.

Screening metabolites in vivo can be challenging due to the complexity of traditional Chinese medicine (TCM) and the ambiguous intracorporal process. To resolve this problem, we established the mass spectrum-based orthogonal projection (MSOP) method to differentiate prototype compounds from metabolites in vivo and applied it to the study of metabolites of Pulsatilla chinensis (PC). Initially, the validity and feasibility of the MSOP method were verified by using the ultra- high-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) data of reference solution. Then, the MSOP method was applied to screen the metabolites of PC. A total of 63 metabolites were identified in vivo (urine, feces, bile, and plasma samples) and in vitro (intestinal bacteria biological sample). The results indicated that the main metabolic pathways of pentacyclic triterpenoids were demethylation, oxidation, dehydration, sulfation, and glucuronidation reactions. This study contributes to developing an integrated strategy based on chemometrics to characterize and classify the metabolism feature of pentacyclic triterpenoids of PC. This will support the scientific and rational application of PC in the clinic. The MSOP method based on the orthogonality of MS signals was used to differentiate the prototype compounds from metabolites in vivo. The method provides scientific and reliable support for fully understanding the metabolic fate of TCM.

Integrative strategy for quality control of Radix Bupleuri based on non-targeted metabolomic profiling and molecular networking.

Quality control of Radix Bupleuri (RB) can be challenging due to the complexity of origin, the similar morphological characteristics, and the diversity of the multiple components. In this study, an integrated strategy for extensive identification of metabolites in plants based on multiple data processing methods was proposed to distinguish four commercially available RB species. First, the pre-processed mass spectrometry data was uploaded to Global Natural Products Social Molecular Networking (GNPS) for spectral library search and molecular network analysis, which can effectively differentiate isomers and reduce molecular redundancy. Second, the possible cleavage mode was summarized from the characteristic MS/MS fragment ions of saikoside standard, and then the possible structure of saikoside in the sample was deduced according to the cleavage patterns. Third, collected all kinds of RB components reported in the literature and matched the information in the samples to obtain more comprehensive information about metabolites. Finally, chemical markers were found employing chemometrics. This strategy not only increases the variety and number of identified components, but also improves the accuracy of the data. Based on this strategy, a total of 132 components were identified from different species of RB, and 14 chemical constituents were considered to be potential chemical markers to distinguish four kinds of RB. Among them, saikogenin a, hydroxy-saikosaponin a, hydroxy-saikosaponin d, and rutinum were of great significance for identification. The method proposed in this study not only successfully identified and distinguished four species of RB, but also laid a good theoretical foundation for regulating the RB market. This strategy provides promising perspectives in the accurate analysis of the ingredients of traditional Chinese medicine.

Integrative analyses of widely targeted metabolomic profiling and derivatization-based LC-MS/MS reveals metabolic changes of Zingiberis Rhizoma and its processed products.

Zingiberis Rhizoma (ZR) has nutritional value and application potentiality, while Zingiberis Rhizoma Praeparatum (ZRP) and Carbonised Ginger (CG) are two main processed products of ZR based on different methods. Here, we performed a widely targeted metabolomics method with Sequential Windowed Acquisition of all Theoretical fragment ions (SWATH) mode to analyze differential metabolites in ZR, ZRP and CG. Additionally, the chemical derivatization was applied to characterize different submetabolomes and improve the separation effect and MS response of metabolites. In total, 369 metabolites were identified and divided into 14 categories, 104 of which were differential metabolites. Our results suggest that carbohydrates, nucleotides, organic acids, vitamins, lipids, indoles, alkaloids, and terpenes contributed to a downward trend after processing, but the maximum content of flavanones, phenylpropanes and polyphenols appeared in ZRP, and that of alcohols appeared in CG. These findings serve as promising perspectives for developing functional food in ZR, ZRP and CG.

Quality control of Zingiberis Rhizoma and its processed products by UHPLC-Q-TOF/MS-based non-targeted metabonomics combining with SIBDV method.

Zingiberis Rhizoma (ZR) is a homologous plant with pungent tastes and aromas, which has unique nutritional value and tremendous application potentiality. Zingiberis Rhizoma Praeparatum (ZRP) and Carbonised Ginger (CG) are processed products of ZR through different processing methods, and they are commonly used ingredients in food supplements. This study used ZR, ZRP and CG from different batches to further understand composition differences after processing. Additionally, we performed non-targeted metabolomics-based profiling of gingerols by ultra-high-performance liquid chromatography coupled with hybrid triple quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) in combination with multivariate analysis and compounds identification. In which, we developed a comprehensive SWATH-IDA bi-directionally verified (SIBDV) method integrating the advantages of Sequential Windowed Acquisition of all Theoretical fragment ions (SWATHTM) and traditional information-dependent acquisition (IDA) mode for characterization of gingerols. Potential chemical markers were selected by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) of chemometrics methods. After that, the threshold variable importance in projection (VIP) value and P value were employed to screen the valuable MS features for discriminating ZR, ZRP and CG. In total, 59 gingerols in the different samples were structurally identified. Results allowed the selection of 33 gingerols, which are nominated as novel markers for materials authentication in ZR, ZRP and CG. The analysis of the study showed that the content of gingerols showed a downward trend after processing, but shogaols and gingerone compounds had an upward trend, resulting in differences in application and pharmacodynamic efficacy. These findings provide promising perspectives in the quality control of ZR, ZRP and CG, as well as for laying the foundation in food design and development.