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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OACSTPCD

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

中文摘要英文摘要

目的 探讨中医治疗糖尿病肾病(DN)的用药规律,分析核心成分与关键靶点的相互作用.方法 利用古今医案云平台DN专病医案库进行中药频次统计、关联分析,发掘中医治疗DN的组方规律.通过筛选中药系统药理学数据库与分析平台(TCMSP)和疾病数据库获得药对治疗DN的靶点,建立成分-蛋白互作网络,对靶点进行京都基因和基因组百科全书(KEGG)富集分析,明确活性成分与核心靶点、通路的对应关系.运用分子对接及生物膜干涉的方法检测活性成分与核心靶点的结合程度.结果 在 183 条医案所载录方剂中,黄芪的使用频次与平均使用剂量均最高,分别为 43 次与 37 g,其次是丹参与茯苓.以黄芪为基础,关联分析到置信度最高的核心组合为黄芪-丹参-茯苓.网络药理学筛选到黄芪-丹参-茯苓治疗DN的关键信号通路 15 条,潜在靶点 89 个,其中肿瘤坏死因子(TNF)信号通路、NOD样受体信号通路、丝裂原活化蛋白激酶(MAPK)信号通路为疾病相关通路,白细胞介素(IL)-6、TNF、血管内皮生长因子 A(VEGFA)为核心靶点.药对中的 2 个活性成分异鼠李素、槲皮素与IL-6 均具有较高的结合力,对接得分分别为 8.2 和7.4,解离常数(KD)分别为 5.6×10-5和 6.8×10-5 mol·L-1.结论 初步发现以黄芪-丹参-茯苓为核心药对治疗DN的组方规律,异鼠李素、槲皮素可能是其治疗DN的主要药效物质,为DN临床治疗及中药活性成分挖掘提供了依据.

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.

张圆琳;祁晓鸣;冯逸佳;卫紫琪;宋丽娟

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

中医学

中医药糖尿病肾病数据挖掘生物膜干涉

Traditional Chinese MedicineDiabetic nephropathyData miningBiolayer interferometry

《医药导报》 2024 (001)

26-33 / 8

山西省应用基础研究计划青年基金资助项目(201901D211545);山西中医药大学博士科研启动基金资助项目(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);山西省卫健委医学科技领军团队项目(2020TD02);山西中医药大学科技创新团队项目(2022TD2010).

10.3870/j.issn.1004-0781.2024.01.005

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