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基于网络药理学对华椒镇痛潜在机制的分析

Network Pharmacology-Based Analysis of the Underlying Mechanism of Huajiao for Pain Relief.

作者信息

Wu Mingquan, Du Hong-Ling, Zhou Xu, Peng Wei, Liu Limei, Zhang Zhong, Tu He

机构信息

Department of Pharmacy, Sichuan Orthopedic Hospital, Chengdu, Sichuan, China.

College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

出版信息

Evid Based Complement Alternat Med. 2021 Apr 4;2021:5526132. doi: 10.1155/2021/5526132. eCollection 2021.

Abstract

OBJECTIVE

Pain is a common symptom among patients, and pain management is an important clinical practice topic. The mechanism of Huajiao (HJ; Maxim.) and its effective components for treating pain was explored using network pharmacology and molecular docking to verify its pain relief function in traditional medical practice.

METHODS

HJ's components were collected via the Traditional Chinese Medicine Systems Pharmacology platform and published studies. HJ-associated target proteins were predicted using the drug similarity rule via Swiss Target Prediction. Online Mendelian Inheritance in Man was used to search for pain-related genes and proteins, and the Database of Interacting Proteins was used to obtain the human interactive target proteins. The compound-target-disease network of HJ for pain relief was constructed with protein-protein interaction networks. The obtained target proteins were uploaded on the Database for Annotation, Visualization, and Integrated Discovery to annotate, visualize, and integrally discover the related signaling pathway, and semiflexible molecular docking by Autodock Vina was applied to verify the potential mechanism.

RESULTS

A total of 157 molecules in HJ were obtained, and the top 20 active components or active groups were mainly focused on the amide alkaloids (e.g., [6RS]-[2E,7E,9E]-6-hydroxy-N-[2-hydroxy-2-methylpropyl]-11-oxo-2,7,9-dodecatrienamide and [2E,7E,9E]-N-[2-hydroxy-2-methylpropyl]-11-ethoxy-6-hydroxy-dodeca-2,7,9-trienamide). Also, the 66 main targets were filtered from 746 predicted targets and 928 pain-related targets through module Network Analyzer in Cytoscape 3.6.0. Finally, there were 3 critical signaling pathways, including mitogen-activated protein kinase, phosphoinositide 3-kinase-protein kinase B-mammalian target of rapamycin, and IB kinase-nuclear factor B-cyclooxygenase 2 based on integrated discovery with 54 enriched signaling pathways.

CONCLUSIONS

HJ is used as a pain relief and has multicomponents, multitargets, and multiapproaches. Amide alkaloids are important substance bases, and HJ is more suitable for treating inflammatory pain.

摘要

目的

疼痛是患者常见的症状,疼痛管理是一个重要的临床实践课题。运用网络药理学和分子对接技术探讨花椒(HJ;Maxim.)及其有效成分治疗疼痛的机制,以验证其在传统医学实践中的止痛作用。

方法

通过中药系统药理学平台和已发表的研究收集HJ的成分。通过瑞士靶点预测,利用药物相似性规则预测与HJ相关的靶蛋白。使用在线人类孟德尔遗传数据库搜索疼痛相关基因和蛋白质,并利用相互作用蛋白质数据库获取人类相互作用靶蛋白。利用蛋白质-蛋白质相互作用网络构建HJ缓解疼痛的化合物-靶标-疾病网络。将获得的靶蛋白上传至注释、可视化和综合发现数据库,对相关信号通路进行注释、可视化和综合发现,并应用Autodock Vina进行半柔性分子对接以验证潜在机制。

结果

共获得HJ中的157个分子,前20种活性成分或活性基团主要集中在酰胺生物碱(如[6RS]-[2E,7E,9E]-6-羟基-N-[2-羟基-2-甲基丙基]-11-氧代-2,7,9-十二碳三烯酰胺和[2E,7E,9E]-N-[2-羟基-2-甲基丙基]-11-乙氧基-6-羟基-十二碳-2,7,9-三烯酰胺)。此外,通过Cytoscape 3.6.0中的模块网络分析器从746个预测靶点和928个疼痛相关靶点中筛选出66个主要靶点。最后,基于对54条富集信号通路的综合发现,确定了3条关键信号通路,包括丝裂原活化蛋白激酶、磷脂酰肌醇3-激酶-蛋白激酶B-雷帕霉素哺乳动物靶点和IκB激酶-核因子κB-环氧化酶2。

结论

HJ具有止痛作用,具有多成分、多靶点、多途径的特点。酰胺生物碱是重要的物质基础,HJ更适合治疗炎性疼痛。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3190/8041531/4020b4b24cad/ECAM2021-5526132.001.jpg

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