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Targets and Effective Constituents of ZhiziBaipi Decoction for Treating Damp-Heat Jaundice Syndrome Based on Chinmedomics Coupled with UPLC-MS/MS
Wei, Wen Feng1; Sun, Hui1; Liu, Shao Bo1; Lu, Sheng Wen1; Zhang, Ai Hua1; Wang, Wan Ying2; Chai, Wen Jun1; Wu, Fang Fang3; Yan, Guang Li1; Guan, Yu1; Wang, Xi Jun1,2,3
2022-04-05
Source PublicationFrontiers in Pharmacology
ISSN1663-9812
Volume13
Abstract

Background: Damp-heat jaundice syndrome (DHJS) is a diagnostic model of traditional Chinese medicine (TCM) that refers to jaundice caused by damp-heat pathogen invasion. DHJS is the most common clinical manifestation of TCM, with yellow skin, yellow eyes and anorexia. ZhiziBaipi Decoction (ZBD) is a classic TCM formula that is effective at treating DHJS and various liver diseases. However, the effective components of ZBD in the context of DHJS and the underlying mechanism are unclear. Purpose: This study of ZBD using the DHJS rat model aimed to elucidate the pathobiology of DHJS and the metabolic targets of therapeutic ZBD, construct the network relationship between the components of ZBD and endogenous biomarkers, and clarify the underlying mechanism of ZBD in preventing and treating DHJS. Methods: Using chinmedomics as the core strategy, an animal model was generated, and the therapeutic effect of ZBD was evaluated based on behavioral, histopathological and biochemical indicators. Metabonomics tools were used to identify biomarkers of DHJS, TCM-based serum pharmacochemistry was used to analyze the effective constituents of ZBD, and chinmedomics technology was used to identify ZBD components highly related to DHJS biomarkers. Results: A total of 42 biomarkers were preliminarily identified, and ZBD significantly affected the levels of 29 of these biomarkers. A total of 59 compounds in ZBD were characterized in vivo. According to chinmedomics analysis, the highly correlated components found in blood were isoformononetin, 3-O-feruloylquinic acid, glycyrrhizic acid, oxyberberine, obaculactone and five metabolites. Conclusions: Chinmedomics combined with UPLC-MS/MS was used to study the targets and effective constituents of ZBD for the treatment of DHJS.

KeywordChinmedomics Combination Mechanism Damp-heat Jaundice Syndrome Metabolic Profile Uplc-ms/ms Zhizibaipi Decoction
DOI10.3389/fphar.2022.857361
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaPharmacology & Pharmacy
WOS SubjectPharmacology & Pharmacy
WOS IDWOS:000789349900001
PublisherFRONTIERS MEDIA SA, AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND
Scopus ID2-s2.0-85128563390
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorWang, Xi Jun
Affiliation1.National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, National Chinmedomics Research Center, Heilongjiang University of Chinese Medicine, Harbin, China
2.State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macao
3.National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials, Guangxi Botanical Garden of Medicinal Plant, Nanning, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wei, Wen Feng,Sun, Hui,Liu, Shao Bo,et al. Targets and Effective Constituents of ZhiziBaipi Decoction for Treating Damp-Heat Jaundice Syndrome Based on Chinmedomics Coupled with UPLC-MS/MS[J]. Frontiers in Pharmacology, 2022, 13.
APA Wei, Wen Feng., Sun, Hui., Liu, Shao Bo., Lu, Sheng Wen., Zhang, Ai Hua., Wang, Wan Ying., Chai, Wen Jun., Wu, Fang Fang., Yan, Guang Li., Guan, Yu., & Wang, Xi Jun (2022). Targets and Effective Constituents of ZhiziBaipi Decoction for Treating Damp-Heat Jaundice Syndrome Based on Chinmedomics Coupled with UPLC-MS/MS. Frontiers in Pharmacology, 13.
MLA Wei, Wen Feng,et al."Targets and Effective Constituents of ZhiziBaipi Decoction for Treating Damp-Heat Jaundice Syndrome Based on Chinmedomics Coupled with UPLC-MS/MS".Frontiers in Pharmacology 13(2022).
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