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通过网络药理学和多组学分析揭示土贝母治疗非小细胞肺癌的核心成分及关键靶点

Unraveling the Core Components and Critical Targets of Thunb. in Treating Non-small Cell Lung Cancer through Network Pharmacology and Multi-omics Analysis.

作者信息

Yang Jinyan, Li Yang, Zhang Yan, Xu Ling, Wang Jiahui, Xing Feng, Song Xinqiang

机构信息

College of Life Science, Xinyang Normal University, Xinyang 464000, China.

Department of Ultrasound, Xinyang Central Hospital, Xinyang 464000, China.

出版信息

Curr Pharm Des. 2025;31(7):540-558. doi: 10.2174/0113816128330427241017110325.

Abstract

OBJECTIVE

This study aimed to preliminary explore the molecular mechanisms of Thunb. (; Saururaceae) in treating non-small cell lung cancer (NSCLC), with the goal of screening drug potential targets for clinical drug development.

METHODS

This study employed a multi-omics and multi-source data integration approach to identify potential therapeutic targets of against NSCLC from the TCMSP database, GEO database, BioGPS database, Metascape database, and others. Meanwhile, target localization was performed, and its possible mechanisms of action were predicted. Furthermore, dynamics simulations and molecular docking were used for verification. Multi-omics analysis was used to confirm the selected key genes' efficacy in treating NSCLC.

RESULTS

A total of 31 potential therapeutic targets, 8 key genes, and 5 core components of against NSCLC were screened out. These potential therapeutic targets played a therapeutic role mainly by regulating lipid and atherosclerosis, the TNF signaling pathway, the IL-17 signaling pathway, and others. Molecular docking indicated a stable combination between MMP9 and quercetin. Finally, through multi-omics analysis, it was found that the expression of some key genes was closely related not only to the progression and prognosis of NSCLC but also to the level of immune infiltration.

CONCLUSION

Through comprehensive network pharmacology and multi-omics analysis, this study predicts that the core components of play a role in treating NSCLC by regulating lipid and atherosclerosis, as well as the TNF signaling pathway. Among them, the anti-NSCLC activity of isoramanone is reported for the first time.

摘要

目的

本研究旨在初步探索三白草(;三白草科)治疗非小细胞肺癌(NSCLC)的分子机制,以期筛选出临床药物研发的潜在药物靶点。

方法

本研究采用多组学和多源数据整合方法,从中药系统药理学数据库(TCMSP)、基因表达综合数据库(GEO)、生物GPS数据库、Metascape数据库等中识别三白草抗NSCLC的潜在治疗靶点。同时,进行靶点定位,并预测其可能的作用机制。此外,运用动力学模拟和分子对接进行验证。采用多组学分析来确认所选关键基因治疗NSCLC的疗效。

结果

共筛选出三白草抗NSCLC的31个潜在治疗靶点、8个关键基因和5个核心成分。这些潜在治疗靶点主要通过调节脂质与动脉粥样硬化、肿瘤坏死因子(TNF)信号通路、白细胞介素-17(IL-17)信号通路等发挥治疗作用。分子对接表明基质金属蛋白酶9(MMP9)与槲皮素之间存在稳定结合。最后,通过多组学分析发现,一些关键基因的表达不仅与NSCLC的进展和预后密切相关,还与免疫浸润水平有关。

结论

通过综合网络药理学和多组学分析,本研究预测三白草的核心成分通过调节脂质与动脉粥样硬化以及TNF信号通路在治疗NSCLC中发挥作用。其中,异鼠李酮的抗NSCLC活性为首次报道。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c30/12079317/a13cf1e79a34/CPD-31-7-540_F1.jpg

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