中医临床研究2025，Vol.17Issue(26)：1-16,16.DOI:10.3969/j.issn.1674-7860.2025.26.001
名老中医王书臣治疗特发性肺间质纤维化的用药规律及潜在作用机制分析
An analysis of the medication rules of famous veteran TCM practitioner WANG Shuchen in the treatment of idiopathic interstitial pulmonary fibrosis and the potential action mechanism
摘要
Abstract
Objective:To investigate the prescription rules of Professor WANG Shuchen,a nationally renowned traditional Chinese medicine(TCM)practitioner,in treating idiopathic pulmonary fibrosis(IPF)by R language-based data mining,and to predict the potential action mechanisms of core medicine combinations via network pharmacology,so as to provide a foundation and reference for further experimental research and clinical application.Methods:Original medical records of IPF patients treated by Professor WANG at Xiyuan Hospital of CACMS from January 2020 to April 2023 were collected to perform use frequency analysis,association rule analysis,and cluster analysis of the included Chinese medicinal materials by R language.Network pharmacology was used to predict core targets of core medicines,and a"disease-medicine-component-target"network was constructed.The biological pathways,ligand and receptor binding ability of the core medicine combination were studied by GO functional enrichment analysis and KEGG signaling pathway enrichment analysis to elucidate the action mechanism.Finally,molecular docking was performed to reversely validate interactions between key components and targets.Results:A total of 438 TCM prescriptions were collected,involving 222 Chinese medicinal materials with 9 380 cumulative use frequencies,and 29 Chinese medicinal materials were used not less than 100 times.The top five Chinese medicinal materials used were Dilong(Pheretima),Huangqi(Radix Astragali),Ezhu(Rhizoma Curcumae),Weilingxian(Radix et Rhizoma Clematidis),and Maidong(Radix Ophiopogon).The medicines used more than 100 times were primarily tonifying medicines,and phlegm-resolving and cough-relieving to relieve asthma medicines,supplemented by wind-damp-dispelling medicines,heat-clearing medicines,and blood-activating to eliminate stasis medicines.With a confidence greater than 90%and a support greater than 30%,2 472 association rules were identified totally.Cluster analysis yielded two core medicine combinations.A total of 47 active components and 94 core targets were screened out by network pharmacology.They mainly inhibited pathological processes such as apoptosis,inflammation response,and oxidative stress by participating in the PI3K-Akt,MAPK,HIF-1,and TNF signaling pathways,thereby exerting an anti-IPF effect.Molecular docking confirmed strong binding activities between cholesterol,hederagenin,isorhamnetin,clovane and AKT1,PIK3CA,STAT3,MAPK1,and JUN,respectively.Conclusion:According to the data mining on TCM prescriptions of Professor WANG Shuchen,the core medicine combination of"Huangqi-Dilong-Ezhu-Luoshiteng(Caulis Trachelospermi)-Weilingxian"exerts anti-IPF effects by suppressing pathological processes such as apoptosis,inflammation response,and oxidative stress via PI3K-Akt,MAPK,HIF-1,and TNF signaling pathways,offering a basis for clinical practice and experimental research.关键词
特发性肺间质纤维化/中药复方/用药规律/作用机制/数据挖掘Key words
Idiopathic interstitial pulmonary fibrosis/Traditional Chinese medicine compound/Medication rule/Action mechanism/Data mining分类
医药卫生引用本文复制引用
周瑞玲,崔力心,张琼,崔云,丛晓东,樊长征,王冰..名老中医王书臣治疗特发性肺间质纤维化的用药规律及潜在作用机制分析[J].中医临床研究,2025,17(26):1-16,16.基金项目
中国中医科学院名老中医经验传承研究(XYZX0101-06 （）
XYZX0101-31) （）
中国中医科学院科技创新工程项目(CI2021A01103) （CI2021A01103）
北京中医药薪火传承"3+3"项目(2019-SZ-C-77). （2019-SZ-C-77）
