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采用超高效液相色谱-串联质谱联用结合网络药理学方法进行植物化学分析,以探索苓桂术甘汤质量控制的生物标志物。

Phytochemical Analysis Using UPLC-MS/MS Combined with Network Pharmacology Methods to Explore the Biomarkers for the Quality Control of Lingguizhugan Decoction.

作者信息

Li Baolin, Fan Shuaishuai, Hu Jingnan, Ma Yongben, Feng Yu, Wang Fengxia, Wang Xinguo, Niu Liying

机构信息

College of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang 050091, China.

Hebei Traditional Chinese Medicine Formula Granule Engineering & Technology Innovate Center, Shijiazhuang 050091, China.

出版信息

Evid Based Complement Alternat Med. 2021 Dec 22;2021:7849032. doi: 10.1155/2021/7849032. eCollection 2021.

Abstract

As a classic TCM prescription, LGZG has been widely used in clinical prevention and treatment of heart failure, nonalcoholic fatty liver, and hyperlipidemia. However, there are few studies on chemical components in recent years, and the basis of quality evaluation is not sufficient. This study was to find the active ingredients of the Lingguizhugan decoction using UPLC-MS/MS and network pharmacology. By comparing the retention time and MS dates of the reference and self-building database, the cleavage rules of chemical composition whose mass errors are less than 1 ppm(FL less than 3 ppm) are analyzed. On this basis, a network pharmacology method was used to find biomarkers for quantitative analysis. The results show that 149 compounds were preliminaries identified or inferred, including 63 flavonoids, 30 triterpenes, 22 phenylpropanoids, 13 organic acids, 6 lactones, 5 alkaloids, 4 anthraquinones, and 6 other compounds. According to the network pharmacology results, 20 chemical constituents were selected as the biomarkers, which were determined simultaneously for the first time, including poricoic acid A, poricoic acid B, glycyrrhizic acid, glycyrrhetinic acid, liquiritin, isoliquiritin, liquiritigenin, isoliquiritin apioside, cinnamic acid, caffeic acid, neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, isochlorogenic acid A, B, and C, atractylenolide I, II, and III, and coumarin. The methodological results show that the linearity, stability, precision, repeatability, and recovery of the method are satisfactory. Therefore, a comprehensive quality assessment system for LGZG was established on the basis of a systematic study of chemical substances and network pharmacology, which provided an important reference for the foundation of pharmacological action and its mechanics.

摘要

苓桂术甘汤作为经典的中药方剂,已广泛应用于心力衰竭、非酒精性脂肪肝和高脂血症的临床防治。然而,近年来对其化学成分的研究较少,质量评价依据不足。本研究采用超高效液相色谱-串联质谱法(UPLC-MS/MS)和网络药理学方法寻找苓桂术甘汤的活性成分。通过比较对照品和自建数据库的保留时间和质谱数据,分析质量误差小于1 ppm(碎片离子质量误差小于3 ppm)的化学成分裂解规律。在此基础上,运用网络药理学方法寻找定量分析的生物标志物。结果表明,初步鉴定或推断出149种化合物,其中包括63种黄酮类、30种三萜类、22种苯丙素类、13种有机酸、6种内酯、5种生物碱、4种蒽醌类及6种其他化合物。根据网络药理学结果,选取20种化学成分作为生物标志物,首次实现了同时测定,包括茯苓酸A、茯苓酸B、甘草酸、甘草次酸、甘草苷、异甘草苷、甘草素、异甘草苷元芹糖甙、肉桂酸、咖啡酸、新绿原酸、绿原酸、隐绿原酸、异绿原酸A、B、C,白术内酯I、II、III及香豆素。方法学结果表明,该方法的线性、稳定性、精密度、重复性和回收率均良好。因此,在对化学成分和网络药理学进行系统研究的基础上,建立了苓桂术甘汤综合质量评价体系,为其药理作用及作用机制的研究提供了重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86e2/8716202/fad3b9a7c572/ECAM2021-7849032.001.jpg

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