Comparison of Geqingpi and Sihuaqingpi based on ultra high performance liquid chromatography‐tandem mass spectrometry combined with multivariate statistics, network pharmacology analysis, and molecular docking

Journal of Separation Science(2022)

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摘要
Citri Reticulatae Pericarpium Viride is used in traditional Chinese medicine as Geqingpi and Sihuaqingpi varieties. We used the ultra-high-performance liquid chromatography-quadrupole-Exactive Orbitrap-mass spectrometry method and high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry to analyze the chemical compounds in these varieties. Principal components analysis and orthogonal partial least squares discriminant analysis were used to analyze the quantitative results. Network pharmacology and molecular docking technology were used to forecast Citri Reticulatae Pericarpium Viride treatment mechanisms in irritable bowel syndrome. We identified 44 main compounds in Citri Reticulatae Pericarpium Viride. Compared to Sihuaqingpi, Geqingpi had higher narirutin, didymin, naringenin, and hesperetin, and lower hesperidin, isosinensetin, nobiletin, 3,5,6,7,8,3 ',4 '-hexamethoxyflavone, tangeretin. Tangeretin, nobiletin, narirutin, didymin, and isosinensetin were the main compounds distinguishing Geqingpi from Sihuaqingpi. We found that the MAPK signaling pathway, which is closely related to irritable bowel syndrome, was an important target pathway. TP53, HRAS, MAPK1, AKT1, and EGFR were important targets in this pathway. Eriodictyol-7-O-rutinoside, narirutin, limonin, and hesperidin showed a good binding ability to the five targets. Orientin, unique to Sihuaqingpi, bound well to TP53, MAPK1, AKT1, and EGFR, while rhoifolin bound well to TP53, HRAS, MAPK1, AKT1, and EGFR. Hesperetin, unique to Geqingpi, bound well to TP53, HRAS, and MAPK1, while naringenin bound well to HRAS. Hesperidin and didymin bound well to TP53, MAPK1, AKT1, and EGFR.
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关键词
Citri Reticulatae Pericarpium Viride,mass spectrometry,molecular docking,multivariate statistical analysis,network pharmacology analysis
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