Key result
Exposure of zebrafish to notoginsenoside R1, ginsenoside Rg1, and ginsenoside Rb1 for 24 hours resulted in the identification of step-wise deglycosylation and hydroxylation metabolites.
The zebrafish model can be used as a fast, low-cost method for predicting the metabolism of Chinese herb components.
Supports zebrafish as fast, low-cost model for herb metabolism screening; leaves open mammalian validation before any clinical relevance.
Zebrafish, a common model organism for studies of vertebrate development and gene function, has been used in pharmaceutical research as a new and powerful tool in recent years. In the present study, we applied zebrafish for the first time in a metabolic study of notoginsenoside (R1), ginsenoside (Rg1) and ginsenoside (Rb1), which are saponins isolated from Panax notoginseng. Metabolites of these three saponin compounds in zebrafish after exposure for 24 h were identified by high performance liquid chromatography - electrospray mass spectrometry (HPLC-ESI-MS) with a Zorbax C-18 column for separation using a binary gradient elution of 0.05% formic acid acetonitrile - 0.05% formic acid water. The quasi-molecular ions of compounds were detected in negative mode. Step-wise deglycosylation metabolites and hydroxylation metabolites of the three saponins were found, which were coincide with regular methods for metabolic analysis. Our study demonstrated that the zebrafish model can successfully imitate the current metabolic model with advantages of lower cost, far less amount of compound needed, easy set up and high performance. Our data suggests that the zebrafish metabolic model has the potential for developing a novel method for quickly predicting the metabolism of Chinese herb components, including those of trace compounds.
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Wei et al. (2011) studied this question. Notoginsenoside R1, ginsenoside Rg1 and ginsenoside Rb1 was evaluated on Metabolites identified by HPLC-ESI-MS. Exposure of zebrafish to notoginsenoside R1, ginsenoside Rg1, and ginsenoside Rb1 for 24 hours resulted in the identification of step-wise deglycosylation and hydroxylation metabolites.
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