期刊
BIOMEDICINE & PHARMACOTHERAPY
卷 149, 期 -, 页码 -出版社
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.biopha.2022.112895
关键词
Cudrania tricuspidata leaf extracts; Pharmacokinetics; Molecular networking; LC-MS; MS
资金
- Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through the Agri-Bio Industry Technology Development Program
- Ministry of Agriculture, Food and Rural Affairs (MAFRA) [316007-5]
- National Research Foundation of Korea (NRF) - Ministry of Science and ICT [2021R1A2C1010428]
- National Research Foundation of Korea [2021R1A2C1010428] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
This study investigated the pharmacokinetic profiles of bioactive components in the Cudrania tricuspidata leaf extract using a molecular networking system. The results identified quercetin and kaempferol glucuronide metabolites as the major circulating species and suggested that molecular network-based approaches are potential and efficient methods for pharmacokinetic studies of herbal medicines.
In this study, the pharmacokinetic profiles of the bioactive components in the leaf extract of the medicinal herb, Cudrania tricuspidate, were investigated using an MS/MS-based molecular networking system. To identify the major active components of the C. tricuspidate leaf extract (CLE), HPLC-DAD analysis was conducted with a standard mixture of six flavonoids (rutin, isoquercitrin, nicotiflorin, kaempferol 3-O-glucoside, quercetin, and kaempferol). The unknown peaks were determined via molecular networking analysis using the mass dataset obtained by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF/MS). For the subsequent pharmacokinetic study, CLE (1 g/kg) was orally administered to rats, and plasma samples were collected. The product ion mass data of plasma samples using LC-QTOF/MS were obtained and subjected to molecular networking analysis. The resulting molecular networking map indicated that the glucuronide metabolites of quercetin and kaempferol were the major circulating species. Accordingly, quercetin and kaempferol were determined following beta-glucuronidase treatment, and their pharmacokinetic parameters were calculated. These findings indicate that the proposed molecular network-based approaches are potential and efficient methods for the pharmacokinetic study of herbal medicines.
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