Identification of metabolites in rat plasma,bile,urine and feces after oral administration of Cinnamomi Cortex aqueous extract by UPLC-Qtrap-MS.
10.19540/j.cnki.cjcmm.20190807.202
- Author:
Meng-Ling SHI
1
;
Yue-Lin SONG
2
;
Jin-Feng CHEN
1
;
Shan HE
1
;
Xiao-Yu GUO
1
;
Peng-Fei TU
1
;
Jun LI
1
;
Yong JIANG
1
Author Information
1. State Key Laboratory of Natural and Biomimetic Drugs,School of Pharmaceutical Sciences,Peking University Beijing 100191,China.
2. Modern Research Center for Traditional Chinese Medicine,School of Chinese Materia Medica,Beijing University of Chinese Medicine Beijing 100029,China.
- Publication Type:Journal Article
- Keywords:
Cinnamomi Cortex;
UPLC-Qtrap-MS;
aqueous extract;
diterpenoids;
lignans;
metabolites identification;
proanthocyanidins
- MeSH:
Administration, Oral;
Animals;
Bile;
Chromatography, High Pressure Liquid;
Cinnamomum zeylanicum;
Drugs, Chinese Herbal/metabolism*;
Feces;
Rats;
Tandem Mass Spectrometry
- From:
China Journal of Chinese Materia Medica
2019;44(21):4720-4727
- CountryChina
- Language:Chinese
-
Abstract:
An ultra-performance liquid chromatography hybrid triple quadrupole-linear ion trap mass spectrometry(UPLC-QtrapMS) method was established to identify the metabolites in rat plasma,bile,urine and feces after oral administration of Cinnamomi Cortex(CC) aqueous extract. Several survey experiments,such as enhanced mass spectrum scan(EMS),precursor ion scan(PI),neutral loss scan(NL) and multiple ions monitoring(MIM) were applied to search target components,and two separate enhanced product ion(EPI) scans were triggered via information-dependent acquisition(IDA) method to generate the MS/MS spectra. According to the mass spectrometric data collected from reference standards and reported literature,the structures of metabolites were deduced. A total of76 metabolites and 5 original compounds were tentatively identified in rats after oral administration of CC aqueous extract. Deglycosylation,methylation,sulfonation,and glucuronidation were observed as the primary metabolic pathways for the chemical constituents of CC. These data are able to benefit the clarification of the therapeutic material basis,the clinical usage and further R&D of CC.
