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Spectrum-effect relationship between HPLC fingerprints and bioactive components of Radix Hedysari on increasing the peak bone mass of rat.
Chen, Xin-Yue; Gou, San-Hu; Shi, Zhi-Qiang; Xue, Zhi-Yuan; Feng, Shi-Lan.
Afiliação
  • Chen XY; School of Pharmacy, Lanzhou University, Lanzhou 730000, China.
  • Gou SH; School of Pharmacy, Lanzhou University, Lanzhou 730000, China.
  • Shi ZQ; School of Pharmacy, Lanzhou University, Lanzhou 730000, China.
  • Xue ZY; School of Pharmacy, Lanzhou University, Lanzhou 730000, China.
  • Feng SL; School of Pharmacy, Lanzhou University, Lanzhou 730000, China.
J Pharm Anal ; 9(4): 266-273, 2019 Aug.
Article em En | MEDLINE | ID: mdl-31452965
ABSTRACT
The traditional Chinese medicine of Radix Hedysari plays an important role in invigorating gas for ascending, benefiting blood for promoting production of fluid, and promoting circulation for removing obstruction in collaterals, which is consistent with the principle of treatment for osteoporosis. This study is designed to investigate the bioactive components on increasing peak bone mass (PBM) by exploring the spectrum-effect relationship between chromatography fingerprints and effect. Multiple indicators are selected to evaluate the pharmacological activity. In fingerprints, 21 common peaks are obtained, five of which are identified. Furthermore, gray relational analysis (GRA) is a quantitative method of gray system theory and is used to describe the correlation degree of common peaks and pharmacological activities with relational value. 21 components are then divided into three different regions, of which ononin and calycosin play an extremely significant role in increasing PBM. In addition, factor analysis and hierarchical cluster analysis (HCA) are used to screen the optimal producing area for Radix Hedysari. This provides a comprehensive and efficient method to improve the quality evaluation of Radix Hedysari, confirming the bioactive components for PBM-enhancement and further develop its medicinal value.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article