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

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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.

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References

  1. Song H, Ryu HW, Lee KJ, Jeong IY, Kim DS, Oh S (2014) Metabolomics investigation of flavonoid synthesis in soybean leaves depending on the growth stage. Metabolomics 10(5):833–841

    Article  CAS  Google Scholar 

  2. Lawal U, Maulidiani M, Shaari K, Ismail IS, Khatib A, Abas F (2015) Metabolite profiling of Ipomoea aquatica at different growth stages in correlation to the antioxidant and α-glucosidase inhibitory activities elucidated by 1H NMR-based metabolomics. Sci Hort 192:400–408

    Article  CAS  Google Scholar 

  3. Huo Y, Kamal GM, Wang J, Liu H, Zhang G, Hu Z, Anwar F, Du H (2017) 1H NMR-based metabolomics for discrimination of rice from different geographical origins of China. J Cereal Sci 76:243–252

    Article  CAS  Google Scholar 

  4. Fujimura Y, Kurihara K, Ida M, Kosaka R, Miura D, Wariishi H, Maeda-Yamamoto M, Nesumi A, Saito T, Kanda T, Yamada K, Tachibana H (2011) Metabolomics-driven nutraceutical evaluation of diverse green tea cultivars. PLOS One 6(8):e23426

    Article  CAS  Google Scholar 

  5. Tianniam S, Tarachiwin L, Bamba T, Kobayashi A, Fukusaki E (2008) Metabolic profiling of Angelica acutiloba roots utilizing gas chromatography–time-of-flight–mass spectrometry for quality assessment based on cultivation area and cultivar via multivariate pattern recognition. J Biosci Bioeng 105(6):655–659

    Article  CAS  Google Scholar 

  6. Kim HK, Khan S, Wilson EG, Kricun SDP, Meissner A, Goraler S, Deelder AM, Choi YH, Verpoorte R (2010) Metabolic classification of South American Ilex species by NMR-based metabolomics. Phytochemistry 71:773–784

    Article  CAS  Google Scholar 

  7. Wei F, Furihata K, Miyakawa T, Tanokura M (2014) A pilot study of NMR-based sensory prediction of roasted coffee bean extracts. Food Chem 152:363–369

    Article  CAS  Google Scholar 

  8. Moldes CA, Cantarelli MA, Camiña JM, Tsai SM, Azevedo RA (2017) Changes in amino acid profile in roots of glyphosate resistant and susceptible soybean (Glycine max) induced by foliar glyphosate application. J Agric Food Chem 65(40):8823–8828

    Article  CAS  Google Scholar 

  9. Shen Y, Hou J, Deng W, Feng Z, Yang M, Cheng J, Wu W, Guo D (2017) Comparative analysis of ultrafine granular powder and decoction pieces of Salvia miltiorrhiza by UPLC-UV-MSn combined with statistical analysis. Planta Med 83(6):557–564

    CAS  PubMed  Google Scholar 

  10. Pongsuwan W, Fukusaki E, Bamba T, Yonetani T, Yamahara T, Kobayashi A (2007) Prediction of Japanese green tea ranking by gas chromatography/mass spectrometry-based hydrophilic metabolite fingerprinting. J Agric Food Chem 55:231–236

    Article  CAS  Google Scholar 

  11. Catelani TA, Santos JR, Páscoa RNMJ, Pezzaa L, Pezza HR, Lopes JA (2018) Real-time monitoring of a coffee roasting process with near infrared spectroscopy using multivariate statistical analysis: a feasibility study. Talanta 179:292–299

    Article  CAS  Google Scholar 

  12. Kai H, Kinoshita K, Harada H, Uesawa Y, Maeda A, Suzuki R, Okada Y, Takahash K, Matsuno K (2017) Establishment of a direct-injection electron ionization-mass spectrometry metabolomics method and its application to lichen profiling. Anal Chem 89(12):6408–6414

    Article  CAS  Google Scholar 

  13. Kim HK, Choi YH, Verpoorte R (2010) NMR-based metabolomics analysis of plants. Nat Protoc 5(3):536–549

    Article  CAS  Google Scholar 

  14. Ali K, Maltese F, Fortes AM, Pais MS, Verpoorte R, Choi YH (2011) Pre-analytical method for NMR-based grape metabolic fingerprinting and chemometrics. Anal Chim Acta 703:179–186

    Article  CAS  Google Scholar 

  15. Fraccaroli M, Nicoletti S, Maltese F, Choi YH, Guzzo F, Levi M, Verpoorte R (2008) Pre-analytical method for metabolic profiling of plant cell cultures of Passiflora garckei. Biotechnol Lett 30:2031–2036

    Article  CAS  Google Scholar 

  16. The Ministry of Health, Labour and Welfare, Japan (2016) The Japanese Pharmacopoeia, 17th edn. The MHLW Ministerial Notification No. 64, Tokyo, pp 1971–1972 (English version)

    Google Scholar 

  17. Tai J, Cheung S (2007) Anti-proliferative and antioxidant activities of Saposhnikovia divaricata. Oncol Rep 18:227–234

    CAS  PubMed  Google Scholar 

  18. Okuyama E, Hasegawa T, Matsushita T, Fujimoto H, Ishibashi M, Yamazaki M (2001) Analgesic components of Saposhnikovia root (Saposhnikovia divaricata). Chem Pharm Bull 49(2):154–160

    Article  CAS  Google Scholar 

  19. Zheng X, Du J, Xu Y, Liao D, Pettit GR (2010) Cytotoxic lipid esters from Peucedanum ledebourielloides. Med Chem Res 19:337–343

    Article  CAS  Google Scholar 

  20. Maruyama T, Ezaki M, Shiba M, Yamaji H, Yoshitomi T, Kawano N, Cheng SZX, Yokokura T, Yamamoto Y, Fuchino H, Sun H, Komatsu K, Kawahara N (2018) Botanical origin and chemical constituents of commercial SR and its related crude drugs available in Shaanxi and the surrounding regions. J Nat Med 72:267–273

    Article  CAS  Google Scholar 

  21. Nishihara M, Nukui K, Osumi Y, Shiota H (2018) Quality evaluation of Saposhnikoviae radix (Differences between wild-type and cultivated products). Yakugaku Zasshi 138:571–579

    Article  CAS  Google Scholar 

  22. Fujioka T, Furumi K, Fujii H, Okabe H, Mihashi K, Nakano Y, Matsunaga H, Katano M, Mori M (1999) Antiproliferative constituents from umbelliferae plants. V. A new furanocoumarin and falcarindiol furanocoumarin ethers from the root of Angelica japonica. Chem Pharm Bull 47(1):96–100

    Article  CAS  Google Scholar 

  23. Su X, Li X, Tao H, Zhou J, Wu T, Chou G, Cheng Z (2013) Simultaneous isolation of seven compounds from Glehnia littoralis roots by off-line overpressured layer chromatography guided by a TLC antioxidant autographic assay. J Sep Sci 36(21–22):3644–3650

    Article  CAS  Google Scholar 

  24. Miyazawa M, Shimamura H, Bhuva RC, Nakamura S, Kameoka H (1996) Antimutagenic activity of falcarindiol from Peucedanum praeruptorum. J Agric Food Chem 44(11):3444–3448

    Article  CAS  Google Scholar 

  25. Gwang L, Hyung-Gu P, Choi M, Kim Y, Park Y, Song K, Cheong C, Bae Y (2000) Falcarindiol, a polyacetylenic compound isolated from Peucedanum japonicum, inhibits mammalian DNA topoisomerase I. J Microbiol Biotechnol 10(3):394–398

    Google Scholar 

  26. Lee J, Lee YJ, Kim J, Bang O (2015) Pyranocoumarins from root extracts of Peucedanum praeruptorum Dunn with multidrug resistance reversal and anti-inflammatory activities. Molecules 20(12):20967–20978

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This study was supported by a research grant from the Japan Agency for Medical Research and Development (the Grant number: 17ak0101074j2001, 15ak0101017h0003).

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Correspondence to Takuro Maruyama.

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Yoshitomi, T., Wakana, D., Uchiyama, N. et al. 1H NMR-based metabolomic analysis coupled with reversed-phase solid-phase extraction for sample preparation of Saposhnikovia roots and related crude drugs. J Nat Med 74, 65–75 (2020). https://doi.org/10.1007/s11418-019-01343-2

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