将代谢组学分析、网络药理学和分子对接整合到糖尿病的基本药理机制和民族植物学合理化中:对药用植物 Fibraurea tinctoria Lour 的研究

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Abdul Halim Umar, Septina Asih Widuri, Yohana Caecilia Sulistyaningsih, Diah Ratnadewi
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引用次数: 0

摘要

简介:长期以来,Fibraurea tinctoria Lour.一直被传统医学用于治疗糖尿病(DM)。然而,对其潜在活性化合物及其药理机制的全面科学认识仍有待揭示:因此,本研究提出了一种新方法,将代谢组学分析、药理学网络和分子对接分析结合起来,研究洋金花作为抗糖尿病药物的潜力:方法:利用超高效液相色谱-四极杆轨道离子阱高分辨质谱(UHPLC-Q-Orbitrap HRMS)分析获得活性化合物,并利用利宾斯基五法则和 ADMET 参数筛选活性化合物。从 DisGeNET、GeneCards、OMIM、PharmaGKB 和 TTD 等公共数据库中检索了洋二仙草化合物的潜在靶点和 DM 相关靶点。靶标的基因本体(GO)使用 DAVID 创建,蛋白质-蛋白质相互作用使用 STRING 创建。使用 Cytoscape 构建了植物-器官-化合物-靶标-疾病网络。然后,通过分子对接分析预测并验证了洋二仙草的基本生物活性化合物与 DM 核心靶标之间的相互作用:网络药理学方法确定了35个活性化合物、565个化合物相关靶点和17289个DM相关靶点。表皮生长因子受体(EGFR)、HSP90AA1、ESR1、HSP90AB1和GSK3B是其核心靶点,而ispariciresinol、cubebin、corypalmine、(-)-8-oxocanadine和(+)-N-甲基coclaurine是洋二仙草中最具DM潜力的活性化合物。GO 功能富集分析揭示了 483 个生物过程、485 种细胞成分和 463 种分子功能。REACTOME 通路富集分析得出了 463 条明显富集的信号通路。在这些通路中,免疫系统通路中的细胞因子信号转导可能在治疗DM中发挥关键作用。分子对接分析结果表明,DM的核心靶点,如5gnk、3o0i、6psj、5ucj和1q5k,与所分析的洋二仙草生物活性化合物稳定结合:本研究为了解洋二仙草治疗 DM 的潜在机制提供了重要依据。研究发现,洋二仙草的主要活性化合物可通过免疫系统中的细胞因子信号通路与核心靶点(表皮生长因子受体、HSP90AA1、ESR1、HSP90AB1 和 GSK3B)相互作用,这表明洋二仙草具有治疗 DM 的潜在途径。不过,必须指出的是,这些发现只是初步的,还需要进一步的研究来验证。这些研究可能涉及体外和体内研究,以确认已鉴定化合物的生物活性及其与核心靶点的相互作用。一旦这些发现得到证实,它们可能会产生重大的临床影响,从而有可能开发出治疗糖尿病的新策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Metabolomic Analysis, Network Pharmacology, and Molecular Docking to Underlying Pharmacological Mechanism and Ethnobotanical Rationalization for Diabetes Mellitus: Study on Medicinal Plant Fibraurea tinctoria Lour.

Introduction: Fibraurea tinctoria Lour. has long been used in traditional medicine to treat diabetes mellitus (DM). However, a comprehensive scientific understanding of its potential active compounds and underlying pharmacological mechanisms still needs to be unveiled.

Objective: This study, therefore, presents a novel approach by integrating metabolomic profiling, pharmacological network, and molecular docking analysis to investigate the potential of F. tinctoria as antidiabetes mellitus.

Methods: Active compounds were obtained through analysis using ultrahigh-performance liquid chromatography-quadrupole-orbital ion trap-high resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS) and screening of active compounds using Lipinski rule of five and ADMET parameters. Potential targets of F. tinctoria compounds and DM-related targets were retrieved from public databases, such as DisGeNET, GeneCards, OMIM, PharmaGKB, and TTD. The targets' gene ontology (GO) was created using DAVID and protein-protein interactions using STRING. The plant-organ-compound-target-disease network was constructed using Cytoscape. Then, molecular docking analysis predicted and verified the interactions of essential bioactive compounds of F. tinctoria and DM core targets.

Results: The network pharmacology approach identified 35 active compounds, 565 compound-related targets, and 17,289 DM-related targets. EGFR, HSP90AA1, ESR1, HSP90AB1, and GSK3B were the core targets, whereas isolariciresinol, cubebin, corypalmine, (-)-8-oxocanadine, and (+)-N-methylcoclaurine were the most active compounds of F. tinctoria with DM potential. GO functional enrichment analysis revealed 483 biological processes, 485 cellular components, and 463 molecular functions. REACTOME pathway enrichment analysis yielded 463 significantly enriched signaling pathways. Of these pathways, the cytokine signaling in the immune system pathway may play a key role in treating DM. The results of molecular docking analysis showed that the core targets of DM, such as 5gnk, 3o0i, 6psj, 5ucj, and 1q5k, bind stably to the analyzed bioactive compounds of F. tinctoria.

Conclusions: This study provides significant insights into the potential mechanism of F. tinctoria in treating DM. The main active compounds of F. tinctoria were found to interact with the core targets (EGFR, HSP90AA1, ESR1, HSP90AB1, and GSK3B) through the cytokine signaling pathway in the immune system, suggesting a potential therapeutic pathway for DM. However, it is essential to note that these findings are preliminary, and further research is necessary to validate them. Those research studies could involve in vitro and in vivo studies to confirm the bioactivity of the identified compounds and their interactions with the core targets. When the findings are confirmed, they could have significant clinical implications, potentially leading to developing new therapeutic strategies for DM.

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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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