Identification of chemical components and network pharmacology of Huanglian Decoction based on UPLC-Q-TOF-MS/MS technology / 中国中药杂志

The chemical components of Huanglian Decoction were identified by ultra-performance liquid chromatography-quadrupole-time-of-flight-tandem mass spectrometry(UPLC-Q-TOF-MS/MS) technology. The gradient elution was conducted in Agilent ZORBAX Extend-C_(18) column(2.1 mm×100 mm, 1.8 μm) with the mobile phase of 0.1% formic acid aqueous solution(A)-acetonitrile(B) at a flow rate of 0.3 mL·min~(-1) and the column temperature of 35 ℃. The MS adopted the positive and negative ion mode of electrospray ionization(ESI), and the MS data were collected under the scanning range of m/z 100-1 500. Through high-resolution MS data analysis, combined with literature comparison and confirmation of reference substances, this paper identified 134 chemical components in Huanglian Decoction, including 12 alkaloids, 23 flavonoids, 22 terpenes and saponins, 12 phenols, 7 coumarins, 12 amino acids, 23 organic acids, and 23 other compounds, and the medicinal sources of the compounds were ascribed. Based on the previous studies, 7 components were selected as the index components. Combined with the network pharmacology research and analysis me-thods, the protein and protein interaction(PPI) network information of the intersection targets was obtained through the STRING 11.0 database, and 20 core targets of efficacy were screened out. In this study, UPLC-Q-TOF-MS/MS technology was successfully used to comprehensively analyze and identify the chemical components of Huanglian Decoction, and the core targets of its efficacy were discussed in combination with network pharmacology, which laid the foundation for clarifying the material basis and quality control of Huanglian Decoction.

Quality value transfer of substance benchmarks in Huanglian Decoction / 中国中药杂志

Following the preparation of substance benchmarks in Huanglian Decoction from 18 batches, the method for detecting their characteristic spectra was established to identify the similarity range and peak attribution. The content and transfer rate ranges of the index components coptisine, palmatine, berberine, liquiritin, glycyrrhizic acid, 6-gingerol, and cinnamaldehyde and the extraction amount were combined for analyzing the quality value transfer from the Chinese medicinal pieces to substance benchmarks and clarifying the key quality attributes of substance benchmarks in Huanglian Decoction. The results showed that the substance benchmarks in Huang-lian Decoction of 18 batches exhibited good similarity in characteristic spectra(all greater than 0.98). There were 17 characteristic peaks identified in the substance benchmarks of Huanglian Decoction, including 10 from Coptidis Rhizoma, 3 from Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle(processed with water), 1 from Zingiberis Rhizoma, and 3 from Cinnamomi Ramulus. The contents and average transfer rates of the index components were listed as follows: coptisine 2.20-6.46 mg·g~(-1) and 18.50%±2.93%; palmatine 3.03-8.13 mg·g~(-1) and 26.56%±4.69%; berberine 7.71-22.29 mg·g~(-1) and 17.34%±3.00%; liquiritin 0.88-2.18 mg·g~(-1) and 9.88%±4.88%; glycyrrhizic acid 1.83-4.44 mg·g~(-1) and 8.50%±3.72%; 6-gingerol 0.56-1.43 mg·g~(-1) and 11.36%±2.37%; cinnamaldehyde 1.55-3.48 mg·g~(-1) and 19.02%±4.36%. The extraction amount of the substance benchmarks from the 18 batches was controlled at 10.65%-13.88%. In this paper, the quality value transfer of substance benchmarks in Huanglian Decoction was analyzed based on the characteristic spectra, the index component contents and the extraction amount, which has provided a basis for the subsequent development of Huanglian Decoction and the quality control of its related preparations.

Quality value transmitting of substance benchmarks of Zhuru Decoction / 中国中药杂志

A total of 18 batches of Zhuru Decoction samples were prepared. Chromatographic fingerprints were established for Zhuru Decoction and single decoction pieces, the content of which was then determined. The extraction rate ranges, content, and transfer rate ranges of puerarin, liquiritin, and glycyrrhizic acid, together with the common peaks and the similarity range of the fingerprints, were determined to clarify key quality attributes of Zhuru Decoction. The 18 batches of Zhuru Decoction samples had 25 common peaks and the fingerprint similarity higher than 0.95. Puerariae Lobatae Radix, Glycyrrhizae Radix et Rhizoma, and Zingiberis Rhizoma Recens had 21, 3, and 1 characteristic peaks, respectively. The 18 batches of samples showed the extraction rates within the range of 18.45%-25.29%. Puerarin had the content of 2.20%-3.07% and the transfer rate of 38.5%-45.9%; liquiritin had the content of 0.24%-0.85% and the transfer rate of 15.9%-37.5%; glycyrrhizic acid had the content of 0.39%-1.87% and the transfer rate of 16.2%-32.8%. In this paper, the quality value transmitting of substance benchmarks of Zhuru Decoction was analyzed based on chromatographic fingerprints, extraction rate, and the content of index components. A scientific and stable method was preliminarily established, which provided a scientific basis for the quality control and formulation development of Zhuru Decoction.

Fingerprint analysis and Q-marker prediction of processed liquorice products / 中国中药杂志

Licorice has long been regarded as one of the most popular herbs, with a very wide clinical application range. Whether being used alone or as an ingredient in prescription, it has an important role which cannot be ignored. However, the efficacy and chemical constituents of licorice will change after honey-processing. Therefore, it is necessary to find quality markers before and after honey-processing to lay the foundation for a comprehensive evaluation of the differences between raw and processed licorice pieces. HPLC-DAD was employed to establish fingerprints of raw and processed licorice. Multivariate statistical analysis methods including principal component analysis(PCA) and orthogonal partial least squares discrimination analysis(OPLS-DA) were applied to screen out the differential components before and after processing of licorice. Based on network pharmacology, the targets and pathways corresponding to the differential components were analyzed with databases such as Swiss Target Prediction and Metascape, and the "component-target-pathway" diagram was constructed with Cytoscape 3.6.0 software to predict the potential quality markers. A total of 17 common peaks were successfully identified in the established fingerprint, and seven differential components were selected as potential quality markers(licoricesaponin G2, glycyrrhizic acid, liquiritigenin, liquiritin, isoliquiritin, liquiritin apioside and isoliquiritigenin). The HPLC fingerprint method proposed in this study was efficient and feasible. The above seven differential chemical components screened out as potential quality markers of licorice can help to improve and promote the overall quality. These researches offer more sufficient theoretical basis for scientific application of licorice and its corresponding products.