AI Article Synopsis
- The study focuses on two plants used in traditional Chinese medicine, Murraya exotica and M. paniculata, and employs high performance liquid chromatography (HPLC) to compare their chemical compositions.
- Using advanced statistical techniques like hierarchical cluster analysis and principal component analysis, the research identifies key chemical markers that distinguish the two plants.
- Despite the differences in their chemical profiles, network pharmacology analysis suggests that both plants may have similar pharmacological effects due to common targets and pathways, supporting their interchangeable use in clinical practice.
Article Abstract
There are two source plants for the traditional Chinese medicine Murrayae Folium et Cacumen (MFC) in Chinese Pharmacopoeia, i.e. Murraya exotica L. and M. paniculata (L.) Jack. Herein, a chemical comparison of M. exotica and M. paniculata by high performance liquid chromatography (HPLC) fingerprint analysis coupled with chemometrics and network pharmacology was performed. The main peaks in the fingerprints were identified by liquid chromatography coupled with ion trap/time-of-flight mass spectrometry (LC-IT-TOF-MS) and authenticated by references. The chemometrics results showed that the HPLC fingerprints of these two species were clearly divided into two categories using hierarchical cluster analysis (HCA) and principal component analysis (PCA), and a total of 13 significantly differentiated markers were screened out by orthogonal partial least squares-discriminant analysis (OPLS-DA). However, the following network pharmacology analysis showed that these discriminated markers were found to act via many common targets and metabolic pathways, indicating the possibly similar pharmacological effects and mechanisms for M. exotica and M. paniculata. The above results provide valuable evidence for the equivalent use of these two plants in clinical settings. Moreover, the chromatographic fingerprint analysis coupled with chemometrics and network pharmacology supplies an efficient approach for the comparative analysis of multi-source TCMs like MFC.
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| http://dx.doi.org/10.1016/S1875-5364(21)60087-0 | DOI Listing |
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