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基于序贯代谢物鉴定方法、网络药理学和结合亲和力测量的[具体药物或疗法名称]治疗非酒精性脂肪性肝病的机制 (原文中“Mechanism of ”后面缺少具体内容)

Mechanism of in the Treatment of Non-alcoholic Fatty Liver Disease Based on Sequential Metabolites Identification Approach, Network Pharmacology, and Binding Affinity Measurement.

作者信息

Luo Zhiqiang, Liu Yang, Han Xing, Yang Wenning, Wang Guopeng, Wang Jing, Jiang Xiaoquan, Sen Muli, Li Xueyan, Yu Guohua, Shi Yuanyuan

机构信息

School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.

School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.

出版信息

Front Nutr. 2021 Sep 16;8:677659. doi: 10.3389/fnut.2021.677659. eCollection 2021.

DOI:10.3389/fnut.2021.677659
PMID:34604271
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8481579/
Abstract

Screening functional food ingredients (FFI) from medicinal and edible plants (MEP) has still remained a great challenge due to the complexity of MEP and its obscure function mechanisms. Herein, an integrated strategy based on sequential metabolites identification approach, network pharmacology, molecular docking, and surface plasmon resonance (SPR) analysis was proposed for quickly identifying the active constituents in MEP. First, the sequential biotransformation process of MEP, including intestinal absorption and metabolism, and hepatic metabolism, was investigated by oral gavage, and intestinal perfusion with venous sampling method. Then the blood samples were analyzed by UPLC-Q Exactive Orbitrap HRMS. Second, the network pharmacology approach was used to explore the potential targets and possible mechanisms of the metabolites of MEP. Third, molecular docking and SPR approaches were used to verify the specific interactions between protein targets and representative ingredients. The proposed integrated strategy was successfully used to explore the heptoprotective components and the underlying molecular mechanism of (PRA). A total of 44 compounds were identified in blood samples, including 17 porotypes and 27 metabolites. The associated metabolic pathways were oxidation, methylation, sulfation, and glucuronidation. After further screening, 31 bioactive candidates and 377 related targets were obtained. In addition, the bioactive components contained in PRA may have therapeutic potentials for non-alcoholic fatty liver disease (NAFLD). The above results demonstrated the proposed strategy may provide a feasible tool for screening FFI and elaborating the complex function mechanisms of MEP.

摘要

由于药食两用植物(MEP)的复杂性及其功能机制不明,从药食两用植物中筛选功能性食品成分(FFI)仍然是一项巨大的挑战。在此,提出了一种基于顺序代谢物鉴定方法、网络药理学、分子对接和表面等离子体共振(SPR)分析的综合策略,用于快速鉴定药食两用植物中的活性成分。首先,通过灌胃以及采用静脉采样法的肠灌注,研究了药食两用植物的顺序生物转化过程,包括肠道吸收与代谢以及肝脏代谢。然后采用超高效液相色谱-四极杆/静电场轨道阱高分辨质谱(UPLC-Q Exactive Orbitrap HRMS)对血样进行分析。其次,运用网络药理学方法探索药食两用植物代谢物的潜在靶点和可能机制。第三,采用分子对接和SPR方法验证蛋白质靶点与代表性成分之间的特异性相互作用。所提出的综合策略成功用于探索(PRA)的保肝成分及其潜在分子机制。在血样中总共鉴定出44种化合物,包括17种原型和27种代谢物。相关代谢途径为氧化、甲基化、硫酸化和葡萄糖醛酸化。进一步筛选后,获得了31种生物活性候选物和377个相关靶点。此外,PRA中含有的生物活性成分可能对非酒精性脂肪性肝病(NAFLD)具有治疗潜力。上述结果表明,所提出的策略可能为筛选功能性食品成分以及阐明药食两用植物的复杂功能机制提供一种可行的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/4a52e009c777/fnut-08-677659-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/1f82d202845e/fnut-08-677659-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/7b2005ead698/fnut-08-677659-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/cac3264aef01/fnut-08-677659-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/46a981a87628/fnut-08-677659-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/3ebad2bdbb37/fnut-08-677659-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/4a52e009c777/fnut-08-677659-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/1f82d202845e/fnut-08-677659-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/7b2005ead698/fnut-08-677659-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/cac3264aef01/fnut-08-677659-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/46a981a87628/fnut-08-677659-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/3ebad2bdbb37/fnut-08-677659-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24eb/8481579/4a52e009c777/fnut-08-677659-g0006.jpg

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