Metabolic profile of danshen in rats by HPLC-LTQ-Orbitrap mass spectrometry
Autor: | Jianmei Huang, Huan-Huan Pang, Wei Gao, Xiao-ye Wang, Mei-Fang Jiang, Zhi-hao Tian, Qin-Hui Wang |
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Rok vydání: | 2018 |
Předmět: |
Male
Spectrometry Mass Electrospray Ionization Salvia miltiorrhiza Orbitrap Mass spectrometry 030226 pharmacology & pharmacy 01 natural sciences High-performance liquid chromatography Article General Biochemistry Genetics and Molecular Biology law.invention Rats Sprague-Dawley 03 medical and health sciences 0302 clinical medicine In vivo law Animals General Pharmacology Toxicology and Pharmaceutics Medicinal plants Chromatography High Pressure Liquid Chromatography General Veterinary Chemistry 010401 analytical chemistry General Medicine Fufang xueshuantong Rats 0104 chemical sciences Metabolic profile Drugs Chinese Herbal |
Zdroj: | Journal of Zhejiang University-SCIENCE B. 19:227-244 |
ISSN: | 1862-1783 1673-1581 |
DOI: | 10.1631/jzus.b1700105 |
Popis: | Danshen, the dried root of Salvia miltiorrhiza Bunge (Lamiaceae), is one of the traditional Chinese medicines (TCMs) most commonly used for the treatment of cardiovascular and cerebrovascular diseases. However, little is known about the chemical and metabolic profiles of danshen in vitro or in vivo. In particular, more information is needed in relation to the 50% ethanol extracts usually used in danshen formulations such as Fufang Xueshuantong Capsules and Fufang Danshen tablets. High-performance liquid chromatography coupled with a linear ion trap- Orbitrap mass spectrometer (HPLC-LTQ-Orbitrap) provides a sensitive and accurate method for analyzing the composition of samples. This method was used to determine the in vitro and in vivo chemical and metabolic profiles of danshen. Sixty-nine components of danshen extract and 118 components of danshen in rat plasma, urine, feces, and bile were unambiguously or tentatively identified. These results not only revealed the material composition of danshen, but also provided a comprehensive research approach for the identification of multi-constituents in TCMs. |
Databáze: | OpenAIRE |
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