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通过基于网络药理学和生物信息学的预测鉴定胡芦巴碱治疗乳腺癌的分子靶点。

Identification of molecular targets of Trigonelline for treating breast cancer through network pharmacology and bioinformatics-based prediction.

作者信息

Manivannan Hema Priya, Veeraraghavan Vishnu Priya, Francis Arul Prakash

机构信息

Centre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India.

出版信息

Mol Divers. 2024 Dec;28(6):3835-3857. doi: 10.1007/s11030-023-10780-x. Epub 2023 Dec 25.

Abstract

Breast cancer, a highly prevalent and fatal cancer that affects the female population worldwide, stands as a significant health challenge. Despite the abundance of chemotherapy drugs, the adverse side effects associated with them have initiated an investigation into natural plant-based compounds. Trigonelline, an alkaloid found in Trigonella foenum-graecum, was previously reported for its anticancer properties by the researchers. In this present study, we have identified the molecular targets of Trigonelline in breast cancer and predicted its drug-like properties and toxicity. By analyzing breast cancer targets from databases including TTD, TCGA, Gene cards, and Trigonelline targets obtained from CTD, we identified 14 specific targets of Trigonelline in the context of breast cancer. The protein-protein interaction (PPI) network of the 14 Trigonelline targets provided insights into the complex relationships between different genes and targets. Heatmap analysis demonstrated the expression patterns of these 14 genes at the protein and RNA levels in breast cancer cells and breast tissues. Notably, four genes, namely EGF, BAX, EGFR, and MTOR, were enriched in the breast cancer pathway. At the same time, PARP1, DDIT3, BAX, and TNF were associated with the apoptosis pathway according to KEGG pathway enrichment analyses. Molecular docking studies between Trigonelline and target proteins from the Protein Data Bank (PDB) revealed favorable binding affinity. Furthermore, mutation analysis of target genes within a dataset of 1918 samples from cBioPortal revealed the absence of mutations. Remarkably, Trigonelline also exhibited binding affinity towards two mutant proteins, and based on these findings, we predicted that Trigonelline could be utilized to target breast cancer genes and their mutants through network pharmacology. Additionally, this was supported by molecular dynamic simulation studies. As our study is preliminary, further validation through in vitro and in vivo studies is essential to confirm the efficacy of Trigonelline in breast cancer treatment.

摘要

乳腺癌是一种在全球女性群体中高度流行且致命的癌症,是一项重大的健康挑战。尽管有大量的化疗药物,但与之相关的不良副作用引发了对天然植物性化合物的研究。胡芦巴碱是在胡芦巴中发现的一种生物碱,此前研究人员已报道过其抗癌特性。在本研究中,我们确定了胡芦巴碱在乳腺癌中的分子靶点,并预测了其类药物性质和毒性。通过分析包括TTD、TCGA、基因卡片等数据库中的乳腺癌靶点以及从CTD获得的胡芦巴碱靶点,我们确定了胡芦巴碱在乳腺癌背景下的14个特定靶点。这14个胡芦巴碱靶点的蛋白质-蛋白质相互作用(PPI)网络揭示了不同基因和靶点之间的复杂关系。热图分析展示了这14个基因在乳腺癌细胞和乳腺组织中的蛋白质和RNA水平的表达模式。值得注意的是,四个基因,即表皮生长因子(EGF)、Bax蛋白(BAX)、表皮生长因子受体(EGFR)和雷帕霉素靶蛋白(MTOR),在乳腺癌通路中富集。同时,根据京都基因与基因组百科全书(KEGG)通路富集分析,聚ADP核糖聚合酶1(PARP1)、DNA损伤诱导转录因子3(DDIT3)、BAX和肿瘤坏死因子(TNF)与凋亡通路相关。胡芦巴碱与蛋白质数据库(PDB)中的靶蛋白之间的分子对接研究显示出良好的结合亲和力。此外,对来自cBioPortal的1918个样本数据集内靶基因的突变分析表明不存在突变。值得注意的是,胡芦巴碱对两种突变蛋白也表现出结合亲和力,基于这些发现,我们预测胡芦巴碱可通过网络药理学用于靶向乳腺癌基因及其突变体。此外,分子动力学模拟研究也支持了这一点。由于我们的研究是初步的,通过体外和体内研究进行进一步验证对于确认胡芦巴碱在乳腺癌治疗中的疗效至关重要。

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