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OBJECTIVE To construct a multi-dimensional network system of “component-target-disease”, find the quality markers related to the efficacy of Shensong Yangxin capsules, and establish an efficient and rapid determination method. METHODS The pharmacodynamic substances selected by network pharmacology were used as quality markers and a novel HPLC-ESI-MS/MS method was developed. During the development of the method, multiple-reaction monitoring scanning and a multi-periods program were applied for quantification by switching electrospray ion source polarity between positive and negative modes at appropriate time points in a single run. Chromatographic separation was performed on a Waters C18 column with linear gradient elution of 0.1% formic acid aqueous solution and acetonitrile at a flow rate of 0.8 mL·min-1. RESULTS According to the results of network pharmacology, twenty compounds with high contribution were selected as quality markers for content determination. The results of methodological verification showed that all calibration curves had good linearity (r2>0.991 1) within the test ranges. The precision, accuracy and stability of the method were all satisfying. CONCLUSION The analytical method is simple, rapid, specific and reliable, which is useful for pharmacodynamic substance screening and comprehensive quality evaluation of Shensong Yangxin capsules.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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