Literature DB >> 31578667

Metabolomic profiling of Saposhnikoviae Radix from Mongolia by LC-IT-TOF-MS/MS and multivariate statistical analysis.

Zolboo Batsukh1, Kazufumi Toume1, Batkhuu Javzan2, Kohei Kazuma1, Shao-Qing Cai3, Shigeki Hayashi4, Nobuo Kawahara4, Takuro Maruyama5, Katsuko Komatsu6.   

Abstract

Saposhnikoviae Radix (SR) is a commonly used crude drug that is obtained from the root and rhizome of Saposhnikovia divaricata which is distributed throughout China, Korea, Mongolia, and Russia. To evaluate the quality of Mongolian S. divaricata, metabolomic profiling of 43 plant specimens from different regions of Mongolia, as well as 8 SR samples and 2 plant specimens from China, were conducted by liquid chromatography-ion-trap-time-of-flight-mass spectrometer (LC-IT-TOF-MS). LC-MS profiles of the specimens showed uniformity and 30 compounds were tentatively identified, including 13 chromones and 17 coumarins. Among them, 16 compounds were isolated and unambiguously verified by comparing them with the spectroscopic data of standard compounds. Orthogonal partial least squares-discriminant analysis (OPLS-DA) based on LC-MS data from 7 Mongolian specimens and 8 Chinese SR samples as well as 2 plant specimens revealed that these 2 groups were clearly distinguishable and that Mongolian specimens were characterized by an abundance of prim-O-glucosylcimifugin (1). Moreover, the OPLS-DA of the Mongolian specimens showed that they can be discriminated by their growing regions based on the content of 8 chromones. The total content of dihydrofurochromones 1-3 was relatively higher in the specimens from Khalkhgol in the far eastern part of Mongolia, while contents of 10, 11, 15, and 16 were higher in those from Holonbuir in the eastern part. Based on this research, the roots of S. divaricata from Mongolia have potential as a new resource of SR in Kampo medicine.

Entities:  

Keywords:  LC–IT–TOF–MS/MS; Metabolomic profiling; Mongolia; Multivariate statistical analysis; Saposhnikovia divaricata; Saposhnikoviae Radix

Mesh:

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Year:  2019        PMID: 31578667     DOI: 10.1007/s11418-019-01361-0

Source DB:  PubMed          Journal:  J Nat Med        ISSN: 1340-3443            Impact factor:   2.343


  22 in total

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2.  Untargeted Metabolomics Analysis Using FTIR and UHPLC-Q-Orbitrap HRMS of Two Curculigo Species and Evaluation of their Antioxidant and α-Glucosidase Inhibitory Activities.

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