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1H NMR-based metabolomic study of Cornus officinalis from different geographical origin

  • Received : 2011.11.18
  • Accepted : 2011.12.13
  • Published : 2011.12.20

Abstract

Cornus officinalis (Cornaceae) is primarily grown in Asian countries. The pericarp of C. officinalis (Corni Fructus) is a well-known traditional medicine with tonic, analgesic, and diuretic properties. We analyzed methanolic extracts of Corni Fructus (grown in Korea and China) by $^1H$ NMR spectroscopy. Metabolite profiling was performed to characterize the metabolic difference between different Corni Fructus origins (Korea or China). Principal components analysis revealed significant separation between Comus Fructus from different origins. The metabolites responsible for differences were identified using loading plots, coefficients plots, and variable influence on projection followed by t-tests. As a result, 16 metabolites were identified and quantified; tyrosine, acetate, sucrose, and malate differed the most between origins. These data suggest that NMR-based metabolomics can be used to identify differences between Corni Fructus samples obtained from different regions.

Keywords

References

  1. J. Lee, D. S. Jang, N. H. Kim, Y. M. Lee, J. Kim, J. S. Kim, Biol. Pharm. Bull. 34, 443, (2011). https://doi.org/10.1248/bpb.34.443
  2. K. Y. Lee, S. H. Sung, S. H. Kim, Y. P. Jang, T. H. Oh, Y. C. Kim, Arch. Pharm. Res. 32, 677, (2009). https://doi.org/10.1007/s12272-009-1505-6
  3. N. Yamabe, K. S. Kang, E. Goto, T. Tanaka, T. Yokozawa, Biol. Pharm. Bull. 30, 520, (2007). https://doi.org/10.1248/bpb.30.520
  4. Y. K. Park, W. K. Whang, H. I. Kin, Chung-Ang J. Pharm. Sci. 9, 5, (1995).
  5. N. T. Telang, G. Li, D. W. Sepkovic, H. L. Bradlow, G. Y. C. Wong, Mol. Med. Rep. 5, 22, (2012).
  6. T. Wang, Y. Pan, F. Yin, H. Q. Xu, T. H. Fang, B.C. Cai, Chinese J. Nanjing Univ. TCM 15, 345,(1999).
  7. L. W. Sumner, P. Mendes, R. A. Dixon, Phytochemistry 62, 81, (2003).
  8. O. Fiehn, J. Kopka, P. Dormann, T. Altmann, R. N. Trethewey, L. Willmitzer, Nature Biotechnol. 18, 1157, (2000). https://doi.org/10.1038/81137
  9. S. Rochfort, J. Nat. Prod. 68, 1813, (2005). https://doi.org/10.1021/np050255w
  10. R. D. Hall, New Phytol. 169, 453, (2006). https://doi.org/10.1111/j.1469-8137.2005.01632.x
  11. R. Verpoorte, Y. H. Choi, H. K. Kim, Phytochem. Rev. 6, 3, (2007). https://doi.org/10.1007/s11101-006-9031-3
  12. C. Seger S. Sturm, J. Proteome Res. 6, 480, (2007). https://doi.org/10.1021/pr0604716
  13. H. K. Kim, Y. H. Choi, R. Verpoorte, Nat. Protocols 5, 536, (2010). https://doi.org/10.1038/nprot.2009.237
  14. T. Skov, F. van den Berg, G. Tomasi, R. Bro, J. Chemom. 20, 484, (2006). https://doi.org/10.1002/cem.1031
  15. Y. S. Hong, Y. T. Ahn, J. C. Park, J. H. Lee, H. Lee, C. S. Huh, D. H. Kim, D. H. Ryu, G. S. Hwang, Arch. Pharm. Res. 33, 1091, (2010). https://doi.org/10.1007/s12272-010-0716-1
  16. H. K. Choi, Y. H. Choi, M. Verberne, A. W. M. Lefeber, C. Erkelens, R. Verpoorte, Phytochemistry 65, 857, (2004). https://doi.org/10.1016/j.phytochem.2004.01.019
  17. H. Grove, B. M. Jorgensen, F. Jessen, I. Sondergaard, S. Jacobsen, K. Hollung, U. Indahl, E. M. Faergestad, J. Proteome Res. 7, 5119, (2008). https://doi.org/10.1021/pr800424c
  18. J. Y. Jung, H. S. Lee, D. G. Kang, N. S. Kim, M. H. Cha, O. S. Bang, D. H. Ryu, G. S. Hwang, Stroke 42, 1282, (2011). https://doi.org/10.1161/STROKEAHA.110.598789
  19. S. Asikainen, B. Dogan, Z. Turgut, B. J. Paster, A. Bodur, J. Oscarsson, PLoS ONE 5, E13589, (2010). https://doi.org/10.1371/journal.pone.0013589

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