Literature DB >> 24794938

Identification of effective combinatorial markers for quality standardization of herbal medicines.

Zi-Qi Shi1, De-Fang Song1, Ruo-Qian Li1, Hua Yang1, Lian-Wen Qi1, Gui-Zhong Xin1, Ding-Qian Wang1, Hui-Peng Song1, Jun Chen1, Haiping Hao2, Ping Li3.   

Abstract

Quality standardization of herbal medicines (HMs) is an important task with great challenges. Selection of abundant compounds as markers is currently a major approach for the quality control of HMs; however, such marker compounds are irrelevant to the bioactivities in many cases. Taking Lycoridis Radiatae Bulbus (LRB) as an example, we proposed a universal strategy to identify the effective combinatorial markers (ECMs) that are representative of the bioactivities of HMs, and took them as chemical markers for quality standardization. Fingerprinting and quantification were employed to find out the common components in various batches of medicines. The contribution of each common compound to the overall bioactivity was determined through fingerprint-bioactivity modeling, which based on the absolute quantification of each compound and the acetylcholinesterase (AChE) inhibitory activity of LRB. Two most effective compounds, ungerimine and galanthamine, were therefore proposed as ECMs. Interestingly, these two compounds could synergistically inhibit AChE. This approach demonstrated its strong advantage of the bioactivity relevant quality assessment when compared with conventional methods. And the success of applying this ECMs-based method to the quality assessment of unknown LRB samples proved that our approach was reliable and reproducible. In conclusion, this approach is not only useful for the bioactivity relevant quality control of HMs but also helpful for the discovery of ECMs as new drug candidates.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alkaloids; Drug discovery; Effective combinatorial markers; Lycoridis Radiatae Bulbus; Quality control; Synergistic effects

Mesh:

Substances:

Year:  2014        PMID: 24794938     DOI: 10.1016/j.chroma.2014.04.015

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


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