Network pharmacology-based research on the action mechanism of Caulis Sinomenii in treating rheumatoid arthritis

Yuzhi Shang, Chenling Li, Qinghuai Zhang, A. Hang, Gang Fang, Yuzhou Pang
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Abstract

Caulis sinomenii (CS) is one of the main herbs for the treatment of rheumatoid arthritis (RA) in the southwestern minority areas of China. However, there are multiple components in CS, and their synergy in treating RA is still not clear. In this study, we aimed to explore action mechanism of CS in treating RA. The CS component was obtained by TCMSP and ETCM, and the active component of CS was screened by reference to oral bioavailability and drug-like properties. We obtained the target of RA through DisGeNET and CTD, and mapped the target of CS active component with disease target by BATMAN-TCM to obtain the potential target of CS treatment of RA. Next, we performed GO and KEGG pathway enrichment analysis on the potential targets of CS treatment of RA, and constructed a network of interactions between targets, CS-active component-target-critical pathway networks. Finally, we referred to the network's topological parameters, KEGG pathway annotation information, etc. to screen and analyze target points, GO terms, and pathways, and used molecular docking technology to verify the selected key targets. We obtained 9 active components of CS (Beta-sitosterol, Stigmasterol, Stepholidine, etc.) and 30 potential targets for CS treatment of RA (AKT1, NFKB1, JUN, etc.). In the results of enrichment of these targets, 20 key pathways (Osteoclast differentiation, Toll-like receptor signaling pathway, Leukocyte transendothelial migration, etc.) and more than 160 GO entries (lysosome, cell surface, NADPH oxidase complex, etc.) were screened. We constructed CS-active component-target-key pathway network to visually demonstrate the relationships between the various levels. We screened 7 hub targets in the network, and the molecular docking results of the 7 Hub target-corresponding protein and CS active components showed strong binding ability. In this study, we predicted the multi-component and multi-target synergy of CS in treating RA, and provided a reference for further experimental verification and clinical application.
基于网络药理学的青藤治疗类风湿关节炎作用机制研究
青藤是中国西南少数民族地区治疗类风湿性关节炎(RA)的主要中药之一。然而,CS中有多种成分,它们在治疗RA中的协同作用尚不清楚。在本研究中,我们旨在探讨CS治疗RA的作用机制。通过TCMSP和ETCM得到CS成分,并参照口服生物利用度和药物样性质筛选CS的有效成分。我们通过DisGeNET和CTD获得RA的靶点,并通过BATMAN-TCM将CS活性成分靶点与疾病靶点进行映射,获得CS治疗RA的潜在靶点。接下来,我们对CS治疗RA的潜在靶点进行了GO和KEGG通路富集分析,并构建了靶点之间的相互作用网络,CS活性组分-靶点关键通路网络。最后,我们参考网络的拓扑参数、KEGG通路标注信息等对目标点、GO项、通路进行筛选分析,并利用分子对接技术对所选择的关键靶点进行验证。我们获得了CS的9种有效成分(β -谷甾醇、豆甾醇、史蒂芬碱等)和30种CS治疗RA的潜在靶点(AKT1、NFKB1、JUN等)。在这些靶点的富集结果中,筛选了20个关键通路(破骨细胞分化、toll样受体信号通路、白细胞跨内皮迁移等)和160多个GO入口(溶酶体、细胞表面、NADPH氧化酶复合物等)。我们构建了CS-active component-target-key pathway network,直观地展示了各个层次之间的关系。我们在网络中筛选了7个hub靶点,7个hub靶点对应的蛋白与CS活性成分的分子对接结果显示出较强的结合能力。本研究预测了CS治疗RA的多组分、多靶点协同作用,为进一步的实验验证和临床应用提供参考。
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