中国组织工程研究 ›› 2021, Vol. 25 ›› Issue (23): 3704-3710.doi: 10.12307/2021.043

• 组织构建相关数据分析 Date analysis of organization construction • 上一篇    下一篇

淫羊藿苷元治疗骨关节炎分子机制的网络药理学和生物信息学分析

陈  锋1,章晓云1,2,陈跃平1,廖建钊1,李嘉骏1,宋世雷1,赖  渝1   

  1. 1广西中医药大学附属瑞康医院创伤骨科,广西壮族自治区南宁市   530011;2江西中医药大学,江西省南昌市   330004
  • 收稿日期:2020-05-27 修回日期:2020-05-29 接受日期:2020-06-29 出版日期:2021-08-18 发布日期:2021-02-24
  • 通讯作者: 章晓云,在读博士,广西中医药大学附属瑞康医院创伤骨科,广西壮族自治区南宁市 530011;江西中医药大学,江西省南昌市 330004
  • 作者简介:陈锋,男,1996年生,广西中医药大学在读硕士,主要从事脊柱、骨关节创伤性疾病的防治研究。
  • 基金资助:
    国家自然科学基金资助项目(81760796,81960803);广西自然科学基金青年基金(2020GXNSFBA159053),项目负责人:章晓云;广西高校青年教师基础能力提升项目(2019KY0352);广西中医药大学2019年校级科研课题(2019QN027);广西中医药大学一流学科课题(2019XK026,2019XK029);广西崇左市科技计划项目(崇科FC2019006);2016年全国名老中医传承工作室建设项目(桂卫中医发{2016}11号);广西中医药大学岐黄工程高层次人才团队培育项目(04B1804804)

Molecular mechanism of anhydroicaritin in the treatment of osteoarthritis: an analysis based on network pharmacology and bioinformatics

Chen Feng1, Zhang Xiaoyun1, 2, Chen Yueping1, Liao Jianzhao1, Li Jiajun1, Song Shilei1, Lai Yu1   

  1. 1Department of Orthopedics, Ruikang Hospital, Guangxi University of Chinese Medicine, Nanning 530011, Guangxi Zhuang Autonomous Region, China; 2Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, Jiangxi Province, China
  • Received:2020-05-27 Revised:2020-05-29 Accepted:2020-06-29 Online:2021-08-18 Published:2021-02-24
  • Contact: Zhang Xiaoyun, MD candidate, Department of Orthopedics, Ruikang Hospital, Guangxi University of Chinese Medicine, Nanning 530011, Guangxi Zhuang Autonomous Region, China; Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, Jiangxi Province, China
  • About author:Chen Feng, Master candidate, Department of Orthopedics, Ruikang Hospital, Guangxi University of Chinese Medicine, Nanning 530011, Guangxi Zhuang Autonomous Region, China
  • Supported by:
    the National Natural Science Foundation of China, No. 81760796 and 81960803; Guangxi Natural Science Foundation for the Youth, No. 2020GXNSFBA159053 (to ZXY); Young Teachers' Basic Ability Improvement Project of Guangxi Universities, No. 2019KY0352; 2019 School-level Scientific Research Project of Guangxi University of Chinese Medicine, No. 2019QN027; First-class Subject Project of Guangxi University of Chinese Medicine, No. 2019XK026 and 2019XK029; Chongzuo Municipal Science and Technology Plan Project, No. FC2019006; 2016 National Famous Traditional Chinese Medicine Inheritance Studio Construction Project, No. {2016} 11; Qihuang Engineering Project for High-level Talent Team Cultivation of Guangxi University of Chinese Medicine, No. 04B1804804 

摘要:

文题释义:
网络药理学:是基于系统生物学的原理阐释疾病发展的过程,并进一步认识药物与机体相互作用的一门学科,具有“多基因、多靶点、多通路”的特点,开创了一种多靶点与多种疾病间复杂网状关系的新型模式,在疾病发病机制及治疗靶点的研究方面具有重要的应用价值。
生物信息学:是研究生物信息的采集、处理、分析和解释等各方面的学科,也是生命科学和计算机科学相结合形成的一门新学科。利用生物信息学进行数据挖掘,统计分析其中的相关性,揭示生物数据所赋有的生物学奥秘。

背景:现代药理学研究表明淫羊藿苷元具有雌激素样作用,对骨关节炎的治疗起着非常积极的作用。由于淫羊藿苷元在分子水平上治疗骨关节炎的机制尚不明确,因此利用网络药理学和生物信息学从分子水平来探究淫羊藿苷元治疗骨关节炎的作用机制,可为后期药物研发及疾病治疗提供一定理论依据。
目的:基于网络药理学和生物信息学初步探讨淫羊藿苷元治疗骨关节炎的关键分子机制,为骨关节炎的治疗提供新的靶点。
方法:通过TCMSP数据库来评估淫羊藿苷元的药物动力学特性,检索GEO数据库中关于淫羊藿苷元和骨关节炎的相关芯片,借助R语言分析差异基因,分别构建淫羊藿苷元和骨关节炎差异基因的蛋白互作网络来明确淫羊藿苷元治疗骨关节炎的关键基因,并在淫羊藿苷元和关键基因之间进行分子对接验证,最后利用DAVID数据库对关键基因进行GO和KEGG通路富集分析。
结果与结论:①淫羊藿苷元的口服生物利用度为45.41%,类药性为0.44;②检索GEO数据库获得编号为GSE85871的淫羊藿苷元芯片,利用R语言分析筛选出152个差异基因;检索GEO数据库获得编号为GSE1919的骨关节炎芯片,利用R语言分析筛选出1 142个差异基因;③通过GeneMANIA数据库分别构建淫羊藿苷元和骨关节炎作用靶点的PPI网络图,利用R语言映射获得44个关键基因;④通过分子对接验证得到淫羊藿苷元和关键基因之间具有良好的结合活性;⑤通过DAVID 数据库富集分析显示,淫羊藿苷元治疗骨关节炎的生物学过程主要涵盖对钙离子及金属离子、类固醇激素、有机磷的反应等,信号通路主要涉及MAPK信号通路、破骨细胞分化通路、PI3K-AKT信号通路、白细胞介素17(IL−17)信号通路等。利用网络药理学和生物信息学对GEO数据库的原始基因芯片数据进行了有效的分析,通过分析芯片内含的生物学信息,不仅能识别目前已知的治疗骨关节炎的相关生物学过程和信号通路,还能发现一些新的生物学过程和信号通路;淫羊藿苷元有望成为治疗骨关节炎的新分子。

https://orcid.org/0000-0001-5979-259X(陈锋) 

中国组织工程研究杂志出版内容重点:组织构建;骨细胞;软骨细胞;细胞培养;成纤维细胞;血管内皮细胞;骨质疏松;组织工程


关键词: 骨关节炎, 骨, 淫羊藿苷元, 生物信息学, 网络药理学, GEO数据库, 分子对接

Abstract: BACKGROUND: Modern pharmacological studies have shown that anhydroicaritin has an estrogen-like effect and plays a very positive role in the treatment of osteoarthritis. Because of anhydroicaritin's unclear mechanism underlying the treatment of osteoarthritis at the molecular level, network pharmacology and bioinformatics are introduced to explain the potential molecular mechanism of anhydroicaritin in the treatment of osteoarthritis. This can provide a theoretical basis for future drug development and disease treatment.
OBJECTIVE: To preliminarily analyze the key molecular mechanism of anhydroicaritin in the treatment of osteoarthritis based on network pharmacology and bioinformatics, thereby providing new potential targets in treating osteoarthritis.
METHODS: The pharmacokinetic properties of anhydroicaritin were assessed using TCMSP database. The GEO databases were searched for chips related to anhydroicaritin and osteoarthritis. The differentially expressed genes were analyzed by R language. Then protein-protein interaction networks of anhydroicaritin and osteoarthritis-related differential genes were respectively constructed to screen the hub genes of anhydroicaritin in the treatment of osteoarthritis, and molecular docking verification between anhydroicaritin and hub genes was performed. Finally, the DAVID database was used to enrich the hub genes for GO and KEGG pathway analysis.
RESULTS AND CONCLUSION: The oral bioavailability and drug-likeness of anhydroicaritin were 45.41% and 0.44, respectively. The anhydroicaritin and osteoarthritis chips numbered GSE85871 and GSE1919 respectively were obtained in the GEO database, and the R language analysis screened out 152 and 
1 142 differential genes, respectively. The GeneMANIA database was used to construct the protein-protein interaction networks of the targets of anhydroicaritin and osteoarthritis, and 44 hub genes were merged by R language. We used molecular docking to find that anhydroicaritin and hub genes have good binding activity. The enrichment analysis of the DAVID database showed that the biological process of anhydroicaritin in the treatment of osteoarthritis included responses to calcium and metal ions, steroid hormone, and organophosphorus. The signaling pathway mainly involved included MAPK signaling pathway, osteoclast differentiation signaling pathway, PI3K-AKT signaling pathway, and interleukin-17 signaling pathway. Network pharmacology and bioinformatics could be used to effectively analyze the original gene chip data of GEO database, which could not only identify the known signal pathways related to the treatment of osteoarthritis with anhydroicaritin, but also find out some new pathways or biological processes. Anhydroicaritin is expected to be a new molecule in the treatment of osteoarthritis.

中国组织工程研究杂志出版内容重点:组织构建;骨细胞;软骨细胞;细胞培养;成纤维细胞;血管内皮细胞;骨质疏松;组织工程

Key words: osteoarthritis, bone, anhydroicaritin, bioinformatics, network pharmacology, GEO database, molecular docking

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