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Comparative pharmacokinetics of 24 major bioactive components in normal and ARDS rats after oral administration of Xuanfei Baidu granules

Authors :
Xinrui, Wang
Jingze, Zhang
Lifei, Luo
Xinbo, Song
Ping, Wang
Dailin, Liu
Source :
Journal of Ethnopharmacology. 296:115472
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Xuanfei Baidu prescription, consisting of 13 Chinese medicines, was formulated by academicians Boli Zhang and Professor Qingquan Liu based on their experience in first-line clinical treatment of COVID-19. Xuanfei Baidu granules (XFBD granules) are a proprietary Chinese medicine preparation developed based on Xuanfei Baidu prescription. It is recommended for the treatment of patients with the common wet toxin and lung stagnation syndrome of COVID-19. However, the pharmacokinetic characteristics of its major bioactive components in rats under different physiological and pathological conditions are unclear.A rapid and sensitive analytical method, ultra-performance liquid chromatography coupled with mass spectrometry (UPLC-MS/MS), was developed and applied to 24 major bioactive components in normal and ARDS rats after oral administration of XFBD granules. We studied the metabolic process of XFBD granules in vivo to compare the differences in pharmacokinetic parameters between normal and model metabolic processes.This method was successfully applied to the pharmacokinetic investigation of 24 major components of XFBD granules following oral administration in normal and ARDS rats. Eight components, including ephedrine and amygdalin, were more highly absorbed and had shorter TIn this study, a rapid and sensitive UPLC-MS/MS analytical method was developed and applied to 24 major bioactive components in normal and ARDS rats after the oral administration of XFBD granules. This will serve to form the basis for further studies on the pharmacokinetic-pharmacodynamic correlation of XFBD granules.

Details

ISSN :
03788741
Volume :
296
Database :
OpenAIRE
Journal :
Journal of Ethnopharmacology
Accession number :
edsair.doi.dedup.....2c61b317135c9614c75298329fc0ee4f