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基于网络药理学、生物信息学和分子动力学模拟的柴胡与多序岩黄芪药对抗肝纤维化作用机制

Mechanism of Radix Bupleuri and Hedysarum Multijugum Maxim drug pairs on liver fibrosis based on network pharmacology, bioinformatics and molecular dynamics simulation.

作者信息

Yu Lefei, Yu Pan, Cao Yongchang, Cao Weiya

机构信息

College of Computer Science and Cyber Security (Oxford Brookes College), Chengdu University of Technology, Chengdu, China.

School of Public Health, Anhui University of Science and Technology, Hefei, China.

出版信息

PLoS One. 2025 Jan 27;20(1):e0318336. doi: 10.1371/journal.pone.0318336. eCollection 2025.

Abstract

A number of studies demonstrate the therapeutic effectiveness of Radix Bupleuri (RB) and Hedysarum Multijugum Maxim (HMM) in treating liver fibrosis, but the exact molecular mechanisms remain unclear. This study aims to explore the mechanism of RB-HMM drug pairs in treating liver fibrosis by using network pharmacology, bioinformatics, molecular docking, molecular dynamics simulation technology and in vitro experiments. Totally, 155 intersection targets between RB-HMM and liver fibrosis were identified. In the protein-protein interaction (PPI) network, the top 10 hub targets with the highest node connection values were TNF, IL-6, AKT1, EGFR, HIF1A, PPARG, CASP3, SRC, MMP9 and HSP90AA1. GO functional and KEGG pathway enrichment analysis involved 335 biological processes, 39 cellular components, 78 molecular functions, and 139 signaling pathways. The bioinformatics analysis indicated that TNF, IL-6, PPARG and MMP9 were promising candidate genes that can serve as diagnostic and prognostic biomarkers for liver fibrosis. Moreover, the molecular docking and molecular dynamic simulation of 50 ns well complemented the binding affinity and strong stability between the three common compounds MOL000098 (quercetin), MOL000354 (isorhamnetin) and MOL000422 (kaempferol) and four final hub targets (TNF, IL-6, PPARG and MMP9). Calculation of binding free energy and decomposition free energy using MM_PBSA and MM_GBSA also validated the strong binding affinity and stability of 12 systems. MOL000098 (quercetin) was selected via MTT assay and western blot assay verified MOL000098 (quercetin) treatments remarkably decreased the protein levels of TNF and IL-6 in TGFβ stimulated LX2 cells. In conclusion, RB-HMM drug pairs can affect the progression of liver fibrosis through multiple components, multiple targets and multiple pathways, and treat liver fibrosis possibly through anti-inflammatory and affecting cell apoptosis.

摘要

多项研究证明柴胡(RB)和多序岩黄芪(HMM)在治疗肝纤维化方面具有治疗效果,但确切的分子机制仍不清楚。本研究旨在通过网络药理学、生物信息学、分子对接、分子动力学模拟技术和体外实验,探索RB-HMM药对治疗肝纤维化的机制。共鉴定出RB-HMM与肝纤维化之间的155个交集靶点。在蛋白质-蛋白质相互作用(PPI)网络中,节点连接值最高的前10个枢纽靶点为TNF、IL-6、AKT1、EGFR、HIF1A、PPARG、CASP3、SRC、MMP9和HSP90AA1。GO功能和KEGG通路富集分析涉及335个生物学过程、39个细胞成分、78个分子功能和139条信号通路。生物信息学分析表明,TNF、IL-6、PPARG和MMP9是有前景的候选基因,可作为肝纤维化的诊断和预后生物标志物。此外,50 ns的分子对接和分子动力学模拟很好地补充了三种常见化合物MOL000098(槲皮素)、MOL000354(异鼠李素)和MOL000422(山奈酚)与四个最终枢纽靶点(TNF、IL-6、PPARG和MMP9)之间的结合亲和力和强稳定性。使用MM_PBSA和MM_GBSA计算结合自由能和分解自由能也验证了12个系统的强结合亲和力和稳定性。通过MTT试验选择了MOL000098(槲皮素),蛋白质印迹试验验证了MOL000098(槲皮素)处理显著降低了TGFβ刺激的LX2细胞中TNF和IL-6的蛋白水平。总之,RB-HMM药对可通过多种成分、多个靶点和多条途径影响肝纤维化的进展,并可能通过抗炎和影响细胞凋亡来治疗肝纤维化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489d/11771889/32466fa3a404/pone.0318336.g001.jpg

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