The Multivariate Regression Statistics Strategy to Investigate Content-Effect Correlation of Multiple Components in Traditional Chinese Medicine Based on a Partial Least Squares Method

Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry
Ying PengKun Hao

Abstract

Amultivariate regression statisticstrategy was developed to clarify multi-components content-effect correlation ofpanaxginseng saponins extract and predict the pharmacological effect by components content. In example 1, firstly, we compared pharmacological effects between panax ginseng saponins extract and individual saponin combinations. Secondly, we examined the anti-platelet aggregation effect in seven different saponin combinations of ginsenoside Rb1, Rg1, Rh, Rd, Ra3 and notoginsenoside R1. Finally, the correlation between anti-platelet aggregation and the content of multiple components was analyzed by a partial least squares algorithm. In example 2, firstly, 18 common peaks were identified in ten different batches of panax ginseng saponins extracts from different origins. Then, we investigated the anti-myocardial ischemia reperfusion injury effects of the ten different panax ginseng saponins extracts. Finally, the correlation between the fingerprints and the cardioprotective effects was analyzed by a partial least squares algorithm. Both in example 1 and 2, the relationship between the components content and pharmacological effect was modeled well by the partial least squares regression equations. Importantly, the predict...Continue Reading

References

Jul 25, 2006·Bioscience, Biotechnology, and Biochemistry·Akikazu SakudoTakashi Onodera
Feb 21, 2007·Basic & Clinical Pharmacology & Toxicology·Yong-Ri JinYeo-Pyo Yun
Nov 25, 2011·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Wei HeXinghui Li
Dec 6, 2011·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Zengyong QiaoHuajin Liu
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May 2, 2014·Journal of Hepatology·Lijun Zhang, Detlef Schuppan
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