基于网络药理学探讨黄芪-川芎药对对糖尿病周围神经病变作用机制的研究
Mechanism of Astragali Radix-Chuanxiong Rhizoma herbal pair for diabetic peripheral neuropathy based on network pharmacology
- 上海中医药杂志 2021年55卷第1期 页码：6-12,34
- 作者机构：
1.广州中医药大学研究生院（广东 广州 510405）
2.广东祈福医院内分泌科（广东 广州 511495）
- 作者简介：
李文婷，女，硕士研究生，主要从事中西医结合治疗内分泌代谢型疾病临床研究工作
季兵，主任医师，硕士研究生导师;E-mail：kaofuman@126.com
- 基金信息：广东省中医药局科研课题面上项目(20191414)
DOI：10.16305/j.1007-1334.2021.2002178
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李文婷, 郑舒宁, 张琪, 等. 基于网络药理学探讨黄芪-川芎药对对糖尿病周围神经病变作用机制的研究[J]. 上海中医药杂志, 2021,55(1):6-12,34.
Wenting LI, Shuning ZHENG, Qi ZHANG, et al. Mechanism of Astragali Radix-Chuanxiong Rhizoma herbal pair for diabetic peripheral neuropathy based on network pharmacology[J]. Shanghai Journal of Traditional Chinese Medicine, 2021,55(1):6-12,34.
李文婷, 郑舒宁, 张琪, 等. 基于网络药理学探讨黄芪-川芎药对对糖尿病周围神经病变作用机制的研究[J]. 上海中医药杂志, 2021,55(1):6-12,34. DOI： 10.16305/j.1007-1334.2021.2002178.
Wenting LI, Shuning ZHENG, Qi ZHANG, et al. Mechanism of Astragali Radix-Chuanxiong Rhizoma herbal pair for diabetic peripheral neuropathy based on network pharmacology[J]. Shanghai Journal of Traditional Chinese Medicine, 2021,55(1):6-12,34. DOI： 10.16305/j.1007-1334.2021.2002178.
摘要
目的,2,系统探讨黄芪-川芎（QX）药对治疗糖尿病周围神经病变（DPN）的关键靶点及作用机制。,方法,2,通过中药系统药理学分析平台（TCMSP）检索黄芪-川芎的主要有效成分及作用靶点，通过GeneCard数据库检索DPN的主要靶点，然后通过R语言绘制Venn图得出QX治疗DPN的共同靶点；利用Cytoscape 3.7.1软件构建中药-成分-疾病-靶点调控网络，然后通过String数据平台建立PPI网络，最后利用Bioconductor平台和R语言进行GO富集分析和KEGG通路分析。,结果,2,QX中发挥治疗DPN的成分主要是槲皮素、山柰酚、叶酸、谷甾醇等19个活性成分；发挥治疗作用的靶点可能包括PTGS2、NOS2等69个关键靶点；影响治疗DPN的生物学过程主要为细胞因子活性、细胞因子受体结合等93个条目；发挥治疗的关键作用通路包括AGE-RAGE信号通路、IL-17通路等143个通路。,结论,2,QX对DPN的治疗作用体现了中药多成分-多靶点-多通路的特点，提示其作用机制可能是通过多成分、多靶点、多通路实现，为进一步探讨QX对DPN的治疗和作用机制提供了思路和依据。
Abstract
Objective,2,To systematically survey the key target and mechanism of Huangqi (Astragali Radix) -Chuanxiong (Chuanxiong Rhizoma) (QX) in the treatment of diabetic peripheral neuropathy(DPN).,Methods,2,The main active components and targets of QX were researched through Traditional Chinese Medicine System Pharmacology Datebase (TCMSP) ; And the relevant disease targets of DPN were researched through GeneCards Database. The common targets of QX for DPN were gotten by Venn diagrams drawn through R language. The traditional Chinese medicine-ingredient-disease-target regulation network was constructed by Cytoscape 3.7.1, and a PPI network established through String data platform. Finally, the Bioconductor platform and R language were used for GO enrichment analysis and KEGG pathway analysis.,Results,2,Totally 19 active components of QX including quercetin, kaempferol, folacin and sitosterol played an important role in the treatment of DPN; 69 key targets such as PTGS2 and NOS2 played a therapeutic role; 93 items such as cytokine activity and cytokine receptor binding influenced biological process in the treatment of DPN; 143 pathways including AGE-RAGE signaling pathway and IL-17 pathway played a key point in the treatment of DPN.,Conclusion,2,The therapeutic effect of QX on DPN reflects the characteristics of multi-components, multi-targets and multi-pathways of traditional Chinese medicine, suggesting that its mechanism may be realized through multi-components, multi-targets and multi-pathways, which provides ideas and basis for further exploring the treatment and mechanism of QX in the treatment of DPN.
关键词
黄芪川芎糖尿病周围神经病变网络药理学
Keywords
Astragali RadixChuanxiong Rhizomadiabetic peripheral neuropathynetwork pharmacology
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