Deng Shu-Hong, Song Li, Duan Xiao-Ju, Zhang Dan-Lu, Nie Lei
School of Pharmaceutical Sciences, Shandong University, Jinan 250012, China.
Zhong Yao Cai. 2013 Feb;36(2):260-4.
To study the correlation analysis between the HPLC fingerprints of Astragali Radix extracts and the antifatigue effects.
Three types of extracts of Astragali Radix were obtained and arranged by uniform design for HPLC fingerprint analysis and the antifatigue effect experiment. The correlation analysis between the HPLC fingerprints of Astragali Radix extracts and the antifatigue effects were carried out with orthogonal signal correction-partial least squares (OSC- PLS) method.
The antifatigue activity could be strengthened by chromatographic peaks in the fingerprints of flavonoids and other kinds of ingredients (including saponins), but could be weakened by Astragalus polysaccharides in Astragali Radix. Among total variables, there were 36 variables (including 35 peaks and a variable of Astragalus polysaccharides) that had important contribution to "fingerprint-efficacy" model.
OSC-PLS can remove uncorrelated information between fingerprint and efficacy, simplify the structure of model and improve the interpretative ability of model, and could be a reference method to investigate chromatographic fingerprint-efficacy relationship of complex system of traditional Chinese medicine.
研究黄芪提取物高效液相色谱(HPLC)指纹图谱与抗疲劳作用之间的相关性分析。
制备三种黄芪提取物,采用均匀设计法安排HPLC指纹图谱分析及抗疲劳作用实验。采用正交信号校正-偏最小二乘法(OSC-PLS)对黄芪提取物HPLC指纹图谱与抗疲劳作用进行相关性分析。
黄酮类及其他成分(包括皂苷)指纹图谱中的色谱峰可增强抗疲劳活性,但黄芪中的黄芪多糖会削弱抗疲劳活性。在全部变量中,有36个变量(包括35个峰和1个黄芪多糖变量)对“指纹图谱-药效”模型有重要贡献。
OSC-PLS能去除指纹图谱与药效之间的不相关信息,简化模型结构,提高模型的解释能力,可为研究中药复杂体系色谱指纹图谱-药效关系提供参考方法。