Literature DB >> 31342251

1H NMR-based metabolomic analysis coupled with reversed-phase solid-phase extraction for sample preparation of Saposhnikovia roots and related crude drugs.

Taichi Yoshitomi1, Daigo Wakana2, Nahoko Uchiyama1, Takashi Tsujimoto1, Noriaki Kawano3, Tsuguo Yokokura4, Yutaka Yamamoto5, Hiroyuki Fuchino3, Takashi Hakamatsuka1, Katsuko Komatsu6, Nobuo Kawahara3, Takuro Maruyama7.   

Abstract

1H NMR-based metabolomics has been applied in research on food, herbal medicine, and natural products. Although excellent results were reported, samples were directly extracted with a deuterated solvent (e.g., methanol-d4 or D2O) in most reports. As primary metabolites account for most of the results, data for secondary metabolites are partially reflected. Consequently, secondary metabolites tend to be excluded from factor loading analysis, serving as a significant unfavorable feature of 1H NMR-based metabolomics when investigating biologically active or functional components in natural products and health foods. Reversed-phase solid-phase extraction column (RP-SPEC) was applied for sample preparation in 1H NMR-based metabolomics to overcome this feature. The methanol extract from Saposhnikoviae radix (SR), an important crude drug, was fractionated with RP-SPEC into 5% methanol-eluting fractions, and the remaining fraction was collected. Each fraction was subjected to 1H NMR-based metabolomics and compared to results from conventional 1H NMR-based metabolomics. Based on principal component analysis (PCA) and partial least squares projections to latent structures discriminant analysis (PLS-DA), the 5% methanol fraction and conventional method reflected the amount of saccharides such as sucrose on the PC1/PLS1 axes, and wild and cultivated samples were discriminated along those axes. The remaining fraction clearly distinguished SR from Peucedanum ledebourielloides root. The compounds responsible for this discrimination were deemed falcarindiol derivatives and other unidentified secondary metabolites from the s-plot on PLS-DA. The secondary metabolites from original plants were, therefore, presumed to be concentrated in the remaining fraction by RP-SPEC treatment and strongly reflected the species differences. The developed series is considered effective to perform quality evaluation of crude drugs and natural products.

Entities:  

Keywords:  1H NMR-based metabolomics; Crude drugs; Peucedanum ledebourielloides root; Reversed-phase solid-phase extraction column; Saposhnikoviae radix

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Substances:

Year:  2019        PMID: 31342251     DOI: 10.1007/s11418-019-01343-2

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


  2 in total

1.  Comparative Analysis of Ultrafine Granular Powder and Decoction Pieces of Salvia miltiorrhiza by UPLC-UV-MSn Combined with Statistical Analysis.

Authors:  Yao Shen; Jinjun Hou; Wen Deng; Zijin Feng; Min Yang; Jinle Cheng; Wanying Wu; De-An Guo
Journal:  Planta Med       Date:  2016-12-19       Impact factor: 3.352

2.  Anti-proliferative and antioxidant activities of Saposhnikovia divaricata.

Authors:  Joseph Tai; Susan Cheung
Journal:  Oncol Rep       Date:  2007-07       Impact factor: 3.906

  2 in total
  2 in total

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

Authors:  Zolboo Batsukh; Kazufumi Toume; Batkhuu Javzan; Kohei Kazuma; Shao-Qing Cai; Shigeki Hayashi; Nobuo Kawahara; Takuro Maruyama; Katsuko Komatsu
Journal:  J Nat Med       Date:  2019-10-01       Impact factor: 2.343

2.  Metabolic fingerprinting for discrimination of DNA-authenticated Atractylodes plants using 1H NMR spectroscopy.

Authors:  Tatsuya Shirahata; Hiroshi Ishikawa; Teruhisa Kudo; Yumiko Takada; Azusa Hoshino; Yui Taga; Yusaku Minakuchi; Tomoko Hasegawa; Rina Horiguchi; Takehiro Hirayama; Takahiro Konishi; Hiroaki Takemoto; Noriko Sato; Masako Aragane; Tetsuro Oikawa; Hiroshi Odaguchi; Toshihiko Hanawa; Eiichi Kodaira; Tatsuo Fukuda; Yoshinori Kobayashi
Journal:  J Nat Med       Date:  2021-02-11       Impact factor: 2.343

  2 in total

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