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解析马齿苋治疗溃疡性结肠炎的机制:一种多组学方法。

Unraveling the mechanism of malancao in treating ulcerative colitis: A multi-omics approach.

作者信息

Huang Xing-Long, Wu Lu-Na, Huang Qin, Zhou Yue, Qing Lei, Xiong Feng, Dong Hui-Ping, Zhou Tai-Min, Wang Kai-Li, Liu Jue

机构信息

Hospital of Traditional Chinese Medicine in Qijiang District, Chongqing 401420, China.

Xing-Long Huang and Lu-Na Wu.

出版信息

World J Clin Cases. 2024 Jun 16;12(17):3105-3122. doi: 10.12998/wjcc.v12.i17.3105.

Abstract

BACKGROUND

Malancao (MLC) is a traditional Chinese medicine with a long history of utilization in treating ulcerative colitis (UC). Nevertheless, the precise molecular mechanisms underlying its efficacy remain elusive. This study leveraged ultra-high-performance liquid chromatography coupled with exactive mass spectrometry (UHPLC-QE-MS), network pharmacology, molecular docking (MD), and gene microarray analysis to discern the bioactive constituents and the potential mechanism of action of MLC in UC management.

AIM

To determine the ingredients related to MLC for treatment of UC using multiple databases to obtain potential targets for fishing.

METHODS

This research employs UHPLC-QE-MS for the identification of bioactive compounds present in MLC plant samples. Furthermore, the study integrates the identified MLC compound-related targets with publicly available databases to elucidate common drug disease targets. Additionally, the R programming language is utilized to predict the central targets and molecular pathways that MLC may impact in the treatment of UC. Finally, MD are conducted using AutoDock Vina software to assess the affinity of bioactive components to the main targets and confirm their therapeutic potential.

RESULTS

Firstly, through a comprehensive analysis of UHPLC-QE-MS data and public database resources, we identified 146 drug-disease cross targets related to 11 bioactive components. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis highlighted that common disease drug targets are primarily involved in oxidative stress management, lipid metabolism, atherosclerosis, and other processes. They also affect AGE-RAGE and apoptosis signaling pathways. Secondly, by analyzing the differences in diseases, we identified key research targets. These core targets are related to 11 active substances, including active ingredients such as quercetin and luteolin. Finally, MD analysis revealed the stability of compound-protein binding, particularly between JUN-Luteolin, JUN-Quercetin, HSP90AA1-Wogonin, and HSP90AA1-Rhein. Therefore, this suggests that MLC may help alleviate intestinal inflammation in UC, restore abnormal lipid accumulation, and regulate the expression levels of core proteins in the intestine.

CONCLUSION

The utilization of MLC has demonstrated notable therapeutic efficacy in the management of UC by means of the compound target interaction pathway. The amalgamation of botanical resources, metabolomics, natural products, MD, and gene chip technology presents a propitious methodology for investigating therapeutic targets of herbal medicines and discerning novel bioactive constituents.

摘要

背景

马齿苋是一种在治疗溃疡性结肠炎(UC)方面有着悠久应用历史的传统中药。然而,其疗效背后的确切分子机制仍不清楚。本研究利用超高效液相色谱联用高分辨质谱(UHPLC-QE-MS)、网络药理学、分子对接(MD)和基因芯片分析来识别马齿苋在UC治疗中的生物活性成分及其潜在作用机制。

目的

利用多个数据库确定马齿苋治疗UC的相关成分,以获取潜在的作用靶点。

方法

本研究采用UHPLC-QE-MS鉴定马齿苋植物样品中存在的生物活性化合物。此外,该研究将鉴定出的与马齿苋化合物相关的靶点与公开可用的数据库整合,以阐明常见的药物-疾病靶点。另外,利用R编程语言预测马齿苋在UC治疗中可能影响的核心靶点和分子途径。最后,使用AutoDock Vina软件进行分子对接,以评估生物活性成分与主要靶点的亲和力,并确认其治疗潜力。

结果

首先,通过对UHPLC-QE-MS数据和公共数据库资源的综合分析,我们确定了与11种生物活性成分相关的146个药物-疾病交叉靶点。基因本体论和京都基因与基因组百科全书分析突出显示,常见的疾病-药物靶点主要参与氧化应激管理、脂质代谢、动脉粥样硬化等过程。它们还影响晚期糖基化终产物受体(AGE-RAGE)和凋亡信号通路。其次,通过分析疾病差异,我们确定了关键研究靶点。这些核心靶点与11种活性物质有关联,包括槲皮素和木犀草素等活性成分。最后,分子对接分析揭示了化合物-蛋白质结合的稳定性,特别是在JUN-木犀草素、JUN-槲皮素、HSP90AA1-汉黄芩素和HSP90AA1-大黄酸之间。因此,这表明马齿苋可能有助于减轻UC中的肠道炎症,恢复异常的脂质蓄积,并调节肠道中核心蛋白的表达水平。

结论

马齿苋的应用通过复合靶点相互作用途径在UC治疗中显示出显著的治疗效果。植物资源、代谢组学、天然产物、分子对接和基因芯片技术的结合为研究草药的治疗靶点和识别新型生物活性成分提供了一种有利的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b32/11185383/6d5e15e986f5/WJCC-12-3105-g001.jpg

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