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基于网络药理学和分子对接的寿辉通便胶囊治疗便秘的机制研究

[Mechanism of Shouhui Tongbian Capsules in treating constipation based on network pharmacology and molecular docking].

作者信息

Liang Hong-Bao, Li Rui, Yao Jing-Chun, Qin Guo-Fei, Zhang Hao, Zhang Gui-Min

机构信息

State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd. Linyi 276006, China.

Shandong New Time Pharmaceutical Co., Ltd. Linyi 276006, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2021 Feb;46(3):511-519. doi: 10.19540/j.cnki.cjcmm.20201117.406.

Abstract

To explore the mechanism of Shouhui Tongbian Capsules in treating constipation by means of network pharmacology and molecular docking approach. Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and Bioinfoematics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine(BATMAN) were applied to obtain chemical components and potential targets of eight herbs in Shouhui Tongbian Capsules according to the screening principles of oral availability(OB)≥30% and drug-like property(DL)≥0.18. Disease targets relating to constipation were screened out through GeneCards, PharmGkb and other databases, drug targets were integrated with disease targets, and intersection targets were exactly the potential action targets of Shouhui Tongbian Capsules for treating constipation; PPI network of potential targets was constructed using STRING platform, and GO(gene ontology) analysis and KEGG(Kyoto encyclopedia of genes and genomes) pathway data were obtained to conduct enrichment analysis and predict its mechanism of action. Cytoscape 3.6.1 was used to construct a network of "medicinal materials-chemical components-drug targets", and the network topology analysis was carried out on the PPI network to obtain its main components and key targets. Molecular docking between components and key targets of Shouhui Tongbian Capsules verified the accuracy of network pharmacological analysis results. The PPI network analysis showed 92 chemical components, including quercetin, stigmaste-rol, aloe-emodin, rhein, and key targets for instance AKT1, MAPK1, IL6, JUN, TNF and TP53. The enrichment analysis of KEGG screened out 157 signal pathways(P<0.01), mainly involving interleukin 17 signaling pathway, AGE-RAGE signaling pathway in diabetic complications, thyroid hormone signaling pathway. Quercetin, resveratrol and lysine with top degree value had a rational conformation in docking site of protein crystal complexes. This study preliminarily showed that various active ingredients in Shouhui Tongbian Capsules could regulate multiple signaling pathways, increase intestinal smoothness and peristalsis function, ensure smooth intestinal lumen, and play a role in treating constipation by acting on key targets, such as AKT1, MAPK1, IL6 and JUN.

摘要

采用网络药理学和分子对接方法探讨寿辉通便胶囊治疗便秘的作用机制。依据口服生物利用度(OB)≥30%和类药性(DL)≥0.18的筛选原则,应用中药系统药理学数据库与分析平台(TCMSP)和中药分子机制生物信息学分析工具(BATMAN)获取寿辉通便胶囊中8味药材的化学成分及潜在靶点。通过GeneCards、PharmGkb等数据库筛选出与便秘相关的疾病靶点,将药物靶点与疾病靶点进行整合,交集靶点即为寿辉通便胶囊治疗便秘的潜在作用靶点;利用STRING平台构建潜在靶点的蛋白质-蛋白质相互作用(PPI)网络,获取基因本体论(GO)分析和京都基因与基因组百科全书(KEGG)通路数据进行富集分析并预测其作用机制。运用Cytoscape 3.6.1构建“药材-化学成分-药物靶点”网络,并对PPI网络进行网络拓扑分析以获取其主要成分和关键靶点。寿辉通便胶囊成分与关键靶点的分子对接验证了网络药理学分析结果的准确性。PPI网络分析显示有92种化学成分,包括槲皮素、豆甾醇、芦荟大黄素、大黄酸等,关键靶点如蛋白激酶B1(AKT1)、丝裂原活化蛋白激酶1(MAPK1)、白细胞介素6(IL6)、原癌基因蛋白c-Jun(JUN)、肿瘤坏死因子(TNF)和肿瘤蛋白p53(TP53)等。KEGG富集分析筛选出157条信号通路(P<0.01),主要涉及白细胞介素17信号通路、糖尿病并发症中的晚期糖基化终末产物受体(AGE-RAGE)信号通路、甲状腺激素信号通路。度值靠前的槲皮素、白藜芦醇和赖氨酸在蛋白质晶体复合物对接位点具有合理构象。本研究初步表明,寿辉通便胶囊中的多种活性成分可调节多条信号通路,增加肠道平滑肌张力和蠕动功能,保证肠腔通畅,通过作用于AKT1、MAPK1、IL6和JUN等关键靶点发挥治疗便秘的作用。

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