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基于网络药理学的策略识别芍药汤治疗克罗恩病的药理机制

Network Pharmacology-Based Strategy to Identify the Pharmacological Mechanisms of Decoction against Crohn's Disease.

作者信息

Liu Jinguo, Zhang Lu, Wang Zhaojun, Chen Shanshan, Feng Shuyan, He Yujin, Zhang Shuo

机构信息

The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China.

Department of Gastroenterology, Edong Healthcare City Hospital of Traditional Chinese Medicine, Hubei Chinese Medical University, Wuhan, China.

出版信息

Front Pharmacol. 2022 Apr 5;13:844685. doi: 10.3389/fphar.2022.844685. eCollection 2022.

Abstract

To explore pharmacological mechanisms of decoction (PD) against Crohn's disease (CD) network pharmacology analysis followed by experimental validation. Public databases were searched to identify bioactive compounds and related targets of PD as well as related genes in patients with CD. Analyses using the drug-compound-target-disease network, the protein-protein interaction (PPI) network, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to predict the core targets and pathways of PD against CD. Colon tissue resected from patients with CD and tissue samples from a mouse model of CD fibrosis treated with PD were assessed to verify the major targets of PD in CD predicted by network pharmacologic analysis. A search of the targets of bioactive compounds in PD and targets in CD identified 134 intersection targets. The target HSP90AA1, which was common to the drug-compound-target-disease and PPI networks, was used to simulate molecular docking with the corresponding bioactive compound. GO and KEGG enrichment analyses showed that multiple targets in the antifibrotic pathway were enriched and could be experimentally validated in CD patients and in a mouse model of CD fibrosis. Assays of colon tissues from CD patients showed that intestinal fibrosis was greater in stenoses than in nonstenoses, with upregulation of p-AKT, AKT, p-mTOR, mTOR, p-ERK1/2, ERK1/2, p-PKC, and PKC targets. Treatment of CD fibrosis mice with PD reduced the degree of fibrosis, with downregulation of the p-AKT, AKT, p-mTOR, mTOR, p-ERK1/2, ERK1/2, and PKC targets. Network pharmacology analysis was able to predict bioactive compounds in PD and their potential targets in CD. Several of these targets were validated experimentally, providing insight into the pharmacological mechanisms underlying the biological activities of PD in patients with CD.

摘要

为探究芍药汤(PD)治疗克罗恩病(CD)的药理机制,进行网络药理学分析并随后进行实验验证。检索公共数据库以鉴定PD的生物活性化合物和相关靶点以及CD患者的相关基因。使用药物-化合物-靶点-疾病网络、蛋白质-蛋白质相互作用(PPI)网络以及基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析来预测PD治疗CD的核心靶点和途径。对从CD患者切除的结肠组织以及用PD治疗的CD纤维化小鼠模型的组织样本进行评估,以验证网络药理学分析预测的PD在CD中的主要靶点。对PD中生物活性化合物的靶点与CD中的靶点进行搜索,确定了134个交集靶点。药物-化合物-靶点-疾病网络和PPI网络共有的靶点HSP90AA1用于与相应的生物活性化合物进行分子对接模拟。GO和KEGG富集分析表明,抗纤维化途径中的多个靶点得到富集,并且可以在CD患者和CD纤维化小鼠模型中进行实验验证。对CD患者结肠组织的检测表明,狭窄部位的肠道纤维化程度高于非狭窄部位,p-AKT、AKT、p-mTOR、mTOR、p-ERK1/2、ERK1/2、p-PKC和PKC靶点上调。用PD治疗CD纤维化小鼠可降低纤维化程度,p-AKT、AKT、p-mTOR、mTOR、p-ERK1/2、ERK1/2和PKC靶点下调。网络药理学分析能够预测PD中的生物活性化合物及其在CD中的潜在靶点。其中一些靶点已通过实验验证,为PD在CD患者中的生物学活性的药理机制提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd8c/9016333/adf0009d666d/fphar-13-844685-g001.jpg

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