AI Article Synopsis

  • Qingpi, a traditional Chinese medicine used for liver disease treatment, has been studied using advanced liquid chromatography and statistical methods to analyze its processed types and determine quality markers.
  • The study identified 18 components of Qingpi and created an integrated network connecting these components to liver disease targets and pathways.
  • Eight compounds were highlighted as potential quality markers with strong binding activity to liver disease targets, laying groundwork for future research into Qingpi's pharmacodynamics and treatment mechanisms.

Article Abstract

Qingpi, a well-known traditional Chinese medicine for qi-regulating and commonly processed into three types of pieces, has been widely used in the clinical application of liver disease for thousands of years. In this study, an ultra-high-performance liquid chromatography-quadrupole-time of flight-mass spectrometry approach along with multivariate statistical analysis was developed to assess and characterize the differentiations of three processed products and confirm the potential quality markers of Qingpi. In addition, a systematic analysis combined with network pharmacology and molecular docking was performed to clarify the potential mechanism of Qingpi for the treatment of liver disease. As a result, 18 components were identified and an integrated network of Qingpi-Components-Target-Pathway-Liver Disease was constructed. Eight compounds were finally screened out as the potential quality markers acting on ten main targets and pathways of liver disease. Molecular docking analysis results indicated that the quality markers had a good binding activity with the targets. Overall, this work preliminarily identified the potential quality markers of three processed products of Qingpi, and predicted its targets in the prevention and treatment of liver disease, which can provide supporting information for further study of the pharmacodynamic substances and mechanisms of Qingpi.

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Source
http://dx.doi.org/10.1002/jssc.202300281DOI Listing

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