High-Performance Liquid Chromatography-Based Multivariate Analysis to Predict the Estrogenic Activity of an Epimedium koreanum Extract

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This study characterizes the correlation between the chemical fingerprint and estrogenic activity of an <i>Epimedium koreanum</i> extract. The estrogenic activity of 31 <i>E. koreanum</i> extract samples was evaluated by a luciferase reporter gene assay, and the samples were classified into 3 groups based on their bioactivity. A chemical fingerprint analysis was performed on each sample by high-performance liquid chromatography (HPLC), and 44 common peaks were selected from the chromatogram and used as a dataset for a pattern recognition analysis. A canonical discriminant analysis performed on this dataset determined a distinct distribution of the samples according to their estrogenic activity on the scoring plot. The classification results showed that 90.3% of the original grouped cases had been correctly classified. The total content of the 4 major extract compounds, epimedin A, epimedin B, epimedin C, and icariin, exhibited good correlation (r=0.784) with the estrogenic activities of the respective extracts. This chromatographic fingerprint-chemometric analysis system could be useful for predicting the <i>E. koreanum</i> pharmacological activity and consequent biological activity-relevant quality control assessment.

収録刊行物

  • Bioscience, biotechnology, and biochemistry

    Bioscience, biotechnology, and biochemistry 76(5), 923-927, 2012-05-23

    公益社団法人 日本農芸化学会

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各種コード

  • NII論文ID(NAID)
    10030752668
  • NII書誌ID(NCID)
    AA10824164
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09168451
  • NDL 記事登録ID
    023681882
  • NDL 請求記号
    Z53-G223
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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