Targets and Effective Constituents of ZhiziBaipi Decoction for Treating Damp-Heat Jaundice Syndrome Based on Chinmedomics Coupled with UPLC-MS/MS.

Targets and Effective Constituents of ZhiziBaipi Decoction for Treating Damp-Heat Jaundice Syndrome Based on Chinmedomics Coupled with UPLC-MS/MS.
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DOI:
10.3389/fphar.2022.857361
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发表时间:
2022
影响因子:
5.6
通讯作者:
Wang, Xi-jun
Wang, Xi-jun
中科院分区:
医学2区
文献类型:
--
作者:
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

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背景资料:湿热黄疸证是指湿热邪侵所致黄疸的中医诊断模式。DHJS是最常见的中医临床表现,皮肤黄,眼睛黄,食欲不振。栀子白皮汤是治疗乙型肝炎肝硬化及各种肝病的经典方剂。然而,ZBD在DHJS背景下的有效成分及其潜在机制尚不清楚。 目的:本研究采用DHJS大鼠模型,对ZBD进行研究,旨在阐明DHJS的病理生物学机制和ZBD治疗的代谢靶点,构建ZBD组分与内源性生物标志物之间的网络关系,阐明ZBD防治DHJS的潜在机制。 研究方法:以中药治疗为核心策略,建立动物模型,通过行为学、组织病理学和生化指标评价ZBD的治疗效果。采用代谢组学方法鉴定DHJS的生物标志物,采用基于中药的血清药物化学方法分析ZBD的有效成分,采用中药组学技术鉴定与DHJS生物标志物高度相关的ZBD组分。 结果:初步鉴定出42种生物标志物,其中29种生物标志物的水平受ZBD影响显著。共对ZBD中的59个化合物进行了体内表征。根据药代动力学分析,在血液中发现的高度相关的组分是异芒柄花素、3-O-阿魏酰奎宁酸、阿魏酸、氧化小檗碱、obaculactone和5种代谢产物。 结论:中药结合UPLC-MS/MS可用于研究中药治疗肝郁证的作用靶点及有效成分。
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.
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