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首页|期刊导航|医药导报|基于数据分析及生物膜干涉探讨中医治疗糖尿病肾病的用药规律

基于数据分析及生物膜干涉探讨中医治疗糖尿病肾病的用药规律

张圆琳 祁晓鸣 冯逸佳 卫紫琪 宋丽娟

医药导报2024,Vol.43Issue(1):26-33,8.
医药导报2024,Vol.43Issue(1):26-33,8.DOI:10.3870/j.issn.1004-0781.2024.01.005

基于数据分析及生物膜干涉探讨中医治疗糖尿病肾病的用药规律

Prescription Rule of Traditional Chinese Medicine in the Treatment of Diabetic Nephropathy via Data Analysis and Biofilm Interference

张圆琳 1祁晓鸣 1冯逸佳 2卫紫琪 3宋丽娟4

作者信息

  • 1. 山西中医药大学中药与食品工程学院,晋中 030619||山西中医药大学基于炎性反应的重大疾病创新药物山西省重点实验室,晋中 030619||国家中医药管理局多发性硬化益气活血重点研究室,晋中 030619
  • 2. 山西中医药大学中药与食品工程学院,晋中 030619||山西中医药大学基于炎性反应的重大疾病创新药物山西省重点实验室,晋中 030619
  • 3. 山西中医药大学中药与食品工程学院,晋中 030619
  • 4. 山西中医药大学基于炎性反应的重大疾病创新药物山西省重点实验室,晋中 030619||国家中医药管理局多发性硬化益气活血重点研究室,晋中 030619
  • 折叠

摘要

Abstract

Objective To analyze the medication rule of Traditional Chinese Medicine(TCM)in treating diabetes nephropathy(DN)and to explore the interaction between core components and key targets.Methods Based on the ancient and modern medical case cloud platform,the medication rules of TCMs and the drug pairs with the highest frequency in treating DN were summarized.Then the network pharmacology approach was utilized to analyze the pharmacodynamic material basis and mechanisms of the highest frequency-drug pairs.The potential targets were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)databases.TTD,DISGENET,and GENECARD databases were used to obtain the related targets of DN and screen out the potential targets for DN.In order to clarify the relationships between the active ingredients,the core targets,and pathways,STRING and Cytoscape 3.7.1 software were used to construct the protein-protein interaction(PPI)network and core drugs-ingredients-targets-disease interaction network,DAVID database was screened for Kyoto Encyclopedia of Genes and Gnomes(KEGG)enrichment analysis of core targets.Sybyl 2.1 software and biofilm interference verify the combined capacity between the core ingredients and key targets.Results Among 183 prescriptions,Astragali Radix had the highest use frequency and average dose,43 times and 37 g,respectively,followed by Salviae miltiorrhizae Radix and Poria cocos.To find the core combined with the highest confidence in association analysis was astragalus,salvia miltiorrhiza,and tuckahoe.Correlation analysis indicates that the core combination with the highest confidence was Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos.Network pharmacologic showed 89 potential targets and 15 key signaling pathways for the treatment of DN by the drug pair.TNF signaling pathway,Nod-like receptor signaling pathway,and MAPK signaling pathway were disease-related pathways,and IL-6,TNF,and vascular endothelial growth factor A(VEGFA)were core targets.Isorhamnetin and quercetin of the drug pair had high binding ability with IL6,the scores were 8.2 and 7.4,respectively,and the dissociation constants(KD)were 5.6×10-5 mol·L-1 and 6.8×10-5 mol·L-1,respectively.Conclusion This study preliminarily finds the prescription rule of treating DN with Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos as the core drug pair,isorhamnetin,and quercetin are probably the main active compounds of this drug pair in DN treatment,which provides a basis for clinical treatment and drug discovery of DN.

关键词

中医药/糖尿病肾病/数据挖掘/生物膜干涉

Key words

Traditional Chinese Medicine/Diabetic nephropathy/Data mining/Biolayer interferometry

分类

医药卫生

引用本文复制引用

张圆琳,祁晓鸣,冯逸佳,卫紫琪,宋丽娟..基于数据分析及生物膜干涉探讨中医治疗糖尿病肾病的用药规律[J].医药导报,2024,43(1):26-33,8.

基金项目

山西省应用基础研究计划青年基金资助项目(201901D211545) (201901D211545)

山西中医药大学博士科研启动基金资助项目(2020BK15) (2020BK15)

基于炎性反应的重大疾病创新药物山西省重点实验室开放基金资助项目(2022-SXID-05) (2022-SXID-05)

山西省卫健委医学科技领军团队项目(2020TD02) (2020TD02)

山西中医药大学科技创新团队项目(2022TD2010). (2022TD2010)

医药导报

OA北大核心CSTPCD

1004-0781

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