Fast and Efficient Screening and Separation Based on AUF-MS Combined With Molecular Docking Technology and Network Pharmacology Method for Potential Xanthine Oxidase Inhibitors From Pinelliae Rhizoma Praeparatum.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-12-30 DOI:10.1002/pca.3485
Qiang Liu, Yuyu Nong, Sainan Li, Yang Zhou, Xuanlin Liu, Duo Liu, Yanjie Li
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Abstract

Introduction: Studies show that Pinelliae Rhizoma Praeparatum (PRP) has some pharmacological effects in enhancing immunity and against gout.

Objectives: A mathematical model was created for extraction process optimization, analysis and identification, activity screening, and isolation and purification; moreover, the mechanism of action was studied.

Methods: First, the extraction of PRP was investigated using the gray wolf optimization mathematical regression model; the extraction variables were optimized to maximize the yield. Second, we used network pharmacological analysis to predict potential targets for PRP in treating gout; xanthine oxidase inhibitors (XODIs) were rapidly screened using AUF-MS and enzyme-catalyzed reaction kinetics. The potential antigout effects of the obtained active substances were verified using molecular docking and molecular dynamics simulation analysis. Finally, with activity screening as the guide, an HSCCC method combined with consecutive injection using the UNIFAC mathematical model and semipreparative HSCCC was successfully developed for the separation and purification of XODIs.

Results: The results verified that uridine, guanosine, adenosine, liquiritin, and liquiritigenin of PRP exhibited high biological affinity toward XOD.

Conclusion: This study clarifies the mechanisms of action of a medicinal plant of interest at the molecular level and can provide more opportunities for the discovery and development of new therapeutic drugs from other food resources.

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基于AUF-MS结合分子对接技术和网络药理学方法的半夏黄嘌呤氧化酶潜在抑制剂的快速高效筛选分离
简介:研究表明半夏具有增强免疫力和抗痛风的药理作用。目的:建立提取工艺优化、分析鉴定、活性筛选、分离纯化的数学模型;并对其作用机理进行了研究。方法:首先,采用灰狼优化数学回归模型对PRP的提取进行研究;通过优化提取参数,使产率达到最高。其次,我们使用网络药理学分析来预测PRP治疗痛风的潜在靶点;利用AUF-MS和酶催化反应动力学快速筛选黄嘌呤氧化酶抑制剂(XODIs)。通过分子对接和分子动力学模拟分析验证了所得活性物质的潜在抗痛风作用。最后,以活性筛选为指导,利用UNIFAC数学模型和半制备型HSCCC,成功建立了连续进样的HSCCC方法,用于XODIs的分离纯化。结果:证实PRP的尿苷、鸟苷、腺苷、利尿素和利尿素对XOD具有较高的生物亲和力。结论:本研究在分子水平上阐明了感兴趣的药用植物的作用机制,为从其他食物资源中发现和开发新的治疗药物提供了更多的机会。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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